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A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes

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Abstract

This paper aims to study the energy consumption and quality characteristics of the parts fabricated by additive manufacturing (AM) technologies with a special focus on metal AM processes. AM is a family of manufacturing techniques, which is broadly used to fabricate complex and lightweight structures. The energy savings during AM processes have a significant influence on the AM industry, only if the quality of the fabricated part meets the requirements. The quality is generally represented by the surface and dimensional quality, mechanical properties, relative density, hardness, etc. The energy saving is important for environmentally benign and cleaner production, and improved product quality is useful for its application as a functional part in the aerospace, automobile, and biomedical industries. A comprehensive review of the energy consumption and quality characteristics of AM-fabricated (with special focus on metal AM) parts was carried out. Firstly, the specific energy consumption of various AM techniques has been reviewed to address the importance of energy and cleaner production. Then, the qualifications of products fabricated by different metal AM techniques have been discussed for different materials, such as titanium alloys, steel alloys, nickel alloys, and aluminum alloys. Also, by considering the practical importance of thin-walled structures fabricated by AM, a detailed analysis of their qualification has been presented. Moreover, different optimization techniques have also been reviewed for various AM process parameters and objectives. Overall, this paper provides an overview of AM, including a survey on the energy consumption and quality characteristics with the development of AM technologies for manufacturing of quality products. Finally, several future research directions are suggested, specifically the need for a framework for metal AM processes for the fabrication of quality products with minimum energy consumption.

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Abbreviations

3D:

Three-dimensional

3DP:

3D Printing

AM:

Additive manufacturing

ASTM:

American society of testing and materials

BJP:

Binder jet printing

CM:

Conventional manufacturing/machining

CNC:

Computer numerically controlled

CNTs:

Carbon nanotubes

DLD:

Direct laser deposition

DLF:

Direct laser forming

DLS:

Direct laser sintering

DMD:

Direct metal deposition

DMLS:

Direct metal laser sintering

DoE:

Design of experiments

EBM:

Electron beam melting

FDM:

Fused deposition modeling

GA:

Genetic algorithm

IM:

Injection molding

LENS:

Laser-engineered net shaping

LOM:

Laminated object manufacture

MO:

Multi-objective

NSGA-II:

Non-dominated sorting genetic algorithm-II

PBF:

Powder bed fusion

RP:

Rapid prototyping

SAM:

Sustainability of additive manufacturing

SEC:

Specific energy consumption

SEM:

Spectroelectron microscopy

SL/SLA:

Stereolithography

SLM:

Selective laser melting

SLS:

Selective laser sintering

SS:

Stainless steel

STL:

Stereolithography file

TEC:

Total energy consumption

UAM:

Ultrasonic additive manufacturing

WAAM:

Wire and arc additive manufacturing

References

  1. Peng T, Kellens K, Tang R, Chen C, Chen G (2018) Sustainability of additive manufacturing: an overview on its energy demand and environmental impact. Addit Manuf 21:694–704

    Google Scholar 

  2. Paritala PK, Manchikatla S, Yarlagadda PKDV (2017) Digital manufacturing-applications past, current, and future trends. Procedia Eng 174:982–991

    Google Scholar 

  3. Kruth JP, Levy G, Klocke F, Childs THC (2007) Consolidation phenomena in laser and powder-bed based layered manufacturing. CIRP Ann 56(2):730–759

    Google Scholar 

  4. F2792-12a A (2012) Standard terminology for additive manufacturing technologies, (Withdrawn 2015). ASTM International, West Conshohocken

    Google Scholar 

  5. Gibson I, Rosen D, Stucker B (2015) Additive manufacturing technologies. Springer, New York

    Google Scholar 

  6. Gibson I, Rosen W, Stucker BE (2010) Additive manufacturing technologies-rapid prototyping to direct digital manufacturing. Springer, New York

    Google Scholar 

  7. Rahim SL, Maidin S (2014) Feasibility study of additive manufacturing technology implementation in malaysian automotive industry using analytic hierarchy Process. Appl Mech Mater 465–466:715–719

    Google Scholar 

  8. Cruz MF, Borille AV (2017) Decision methods application to compare conventional manufacturing process with metal additive manufacturing process in the aerospace industry. J Braz Soc Mech Sci Eng 39(1):177–193

    Google Scholar 

  9. Modi YK, Sanadhya S (2018) Design and additive manufacturing of patient-specific cranial and pelvic bone implants from computed tomography data. J Braz Soc Mech Sci Eng 40(10):503

    Google Scholar 

  10. Singh D, Babbar A, Jain V, Gupta D, Saxena S, Dwibedi V (2019) Synthesis, characterization, and bioactivity investigation of biomimetic biodegradable PLA scaffold fabricated by fused filament fabrication process. J Braz Soc Mech Sci Eng 41(3):121

    Google Scholar 

  11. Lu ZL, Lu F, Cao JW, Li DC (2014) Manufacturing properties of turbine blades of carbon fiber-reinforced SiC composite based on stereolithography. Mater Manuf Process 29(2):201–209

    Google Scholar 

  12. Yin H, Qu M, Zhang H, Lim Y (2018) 3D printing and buildings: a technology review and future outlook. Technol Archit Des 2(1):94–111

    Google Scholar 

  13. Kitson PJ, Symes MD, Dragone V, Cronin L (2013) Combining 3D printing and liquid handling to produce user-friendly reactionware for chemical synthesis and purification. Chem Sci 4(8):3099–3103

    Google Scholar 

  14. Ni Y, Ji R, Long K, Bu T, Chen K, Zhuang S (2017) A review of 3D-printed sensors. Appl Spectrosc Rev 52(7):623–652

    Google Scholar 

  15. Sun J, Zhou W, Huang D, Fuh JYH, Hong GS (2015) An Overview of 3D Printing Technologies for Food Fabrication. Food Bioprocess Technol 8(8):1605–1615

    Google Scholar 

  16. Mueller B (2012) Additive manufacturing technologies—rapid prototyping to direct digital manufacturing. Assembl Autom 32(2):623

    Google Scholar 

  17. Majeed A, Lv J, Peng T (2019) A framework for big data driven process analysis and optimization for additive manufacturing. Rapid Prototyp J 25(2):308–321

    Google Scholar 

  18. Silva CMA, Bragança IMF, Cabrita A, Quintino L, Martins PAF (2017) Formability of a wire arc deposited aluminium alloy. J Braz Soc Mech Sci Eng 39(10):4059–4068

    Google Scholar 

  19. Majeed A, Muzamil M, Lv J, Liu B, Ahmad F (2019) Heat treatment influences densification and porosity of AlSi10Mg alloy thin-walled parts manufactured by selective laser melting technique. J Braz Soc Mech Sci Eng 41(6):267

    Google Scholar 

  20. Chen A-N, Wu J-M, Liu K, Chen J-Y, Xiao H, Chen P, Li C-H, Shi Y-S (2018) High-performance ceramic parts with complex shape prepared by selective laser sintering: a review. Adv Appl Ceram 117(2):100–117

    Google Scholar 

  21. Soni A, Kumar S, Singh B (2018) Prediction of tensile strength of 3D printed part using response surface methodology. J Braz Soc Mech Sci Eng 40(12):566

    Google Scholar 

  22. Zhang Y, Wu L, Guo X, Kane S, Deng Y, Jung Y-G, Lee J-H, Zhang J (2018) Additive manufacturing of metallic materials: a review. J Mater Eng Perform 27(1):1–13

    Google Scholar 

  23. Majeed A, Zhang YF, Lv JX, Peng T, Waqar S, Atta Z (2018) Study the effect of heat treatment on the relative density of SLM built parts of alsi10mg alloy. In: 48th International conference on computers and industrial engineering, CIE 2018, December 2, 2018–December 5, 2018, Auckland, New zealand, 2018. Proceedings of International Conference on Computers and Industrial Engineering, CIE. Curran Associates Inc.

  24. Józwik J, Ostrowski D, Milczarczyk R, Krolczyk GM (2018) Analysis of relation between the 3D printer laser beam power and the surface morphology properties in Ti–6Al–4V titanium alloy parts. J Braz Soc Mech Sci Eng 40(4):215

    Google Scholar 

  25. Gajera HM, Dave KG, Darji VP, Abhishek K (2019) Optimization of process parameters of direct metal laser sintering process using fuzzy-based desirability function approach. J Braz Soc Mech Sci Eng 41(3):124

    Google Scholar 

  26. Ahmad M, Hayat N, Shah FH (2015) Rapid development of complex shaped customized products. J Braz Soc Mech Sci Eng 37(1):263–274

    Google Scholar 

  27. Guessasma S, Belhabib S, Nouri H (2015) Significance of pore percolation to drive anisotropic effects of 3D printed polymers revealed with X-ray l-tomography and finite element computation. Polymer 81:29–36

    Google Scholar 

  28. Bhalodi D, Zalavadiya K, Gurrala PK (2019) Influence of temperature on polymer parts manufactured by fused deposition modeling process. J Braz Soc Mech Sci Eng 41(3):113

    Google Scholar 

  29. Lee JS, Cha Hwang D, Shim JH, Jung Jin W, Kim Jong Y, Cho DW (2012) Effect of pore architecture and stacking direction on mechanical properties of solid freeform fabrication-based scaffold for bone tissue engineering. J Biomed Mater Res Part A 100A(7):1846–1853

    Google Scholar 

  30. Sá Medeiros e A, Mello VM, Rodriguez Echavarria K, Covill D (2015) Adaptive voids. Vis Comput 31(6):799–808

    Google Scholar 

  31. Dutra TA, Ferreira RTL, Resende HB, Guimarães A (2019) Mechanical characterization and asymptotic homogenization of 3D-printed continuous carbon fiber-reinforced thermoplastic. J Braz Soc Mech Sci Eng 41(3):133

    Google Scholar 

  32. Kumar N, Jain PK, Tandon P, Pandey PM (2018) Additive manufacturing of flexible electrically conductive polymer composites via CNC-assisted fused layer modeling process. J Braz Soc Mech Sci Eng 40(4):175

    Google Scholar 

  33. Sercombe TB, Li X (2016) Selective laser melting of aluminium and aluminium metal matrix composites: review. Mater Technol 31(2):77–85

    Google Scholar 

  34. Borkar T, Conteri R, Chen X, Ramanujan RV, Banerjee R (2017) Laser additive processing of functionally-graded Fe–Si–B–Cu–Nb soft magnetic materials. Mater Manuf Processes 32(14):1581–1587

    Google Scholar 

  35. Jaiswal P, Patel J, Rai R (2018) Build orientation optimization for additive manufacturing of functionally graded material objects. Int J Adv Manuf Technol 96(1):223–235

    Google Scholar 

  36. Sugavaneswaran M, Arumaikkannu G (2014) Modelling for randomly oriented multi material additive manufacturing component and its fabrication. Mater Des 1980–2015(54):779–785

    Google Scholar 

  37. Vaezi M, Chianrabutra S, Mellor B, Yang S (2013) Multiple material additive manufacturing—part 1: a review. Virtual Phys Prototyp 8(1):19–50

    Google Scholar 

  38. Guo N, Leu MC (2013) Additive manufacturing: technology, applications and research needs. Front Mech Eng 8(3):215–243

    Google Scholar 

  39. Williams SW, Martina F, Addison AC, Ding J, Pardal G, Colegrove P (2016) Wire+arc additive manufacturing. Mater Sci Technol 32(7):641–647

    Google Scholar 

  40. Wits WW, García JRR, Becker JMJ (2016) How additive manufacturing enables more sustainable end-user maintenance, repair and overhaul (MRO) strategies. Procedia CIRP 40:693–698

    Google Scholar 

  41. Gardan N, Schneider A, Gardan J (2016) Material and process characterization for coupling topological optimization to additive manufacturing. Comput Aided Des Appl 13(1):39–49

    Google Scholar 

  42. Gill SS, Kaplas M (2009) Comparative study of 3D printing technologies for rapid casting of aluminium alloy. Mater Manuf Process 24(12):1405–1411

    Google Scholar 

  43. Paul R, Anand S (2012) Process energy analysis and optimization in selective laser sintering. J Manuf Syst 31(4):429–437

    Google Scholar 

  44. Sreenivasan R, Goel A, Bourell DL (2010) Sustainability issues in laser-based additive manufacturing. Phys Procedia 5:81–90

    Google Scholar 

  45. Paul R, Anand S (2015) A combined energy and error optimization method for metal powder based additive manufacturing processes. Rapid Prototyp J 21(3):301–312

    Google Scholar 

  46. Yap CY, Chua CK, Dong ZL, Liu ZH, Zhang DQ, Loh LE, Sing SL (2015) Review of selective laser melting: materials and applications. Appl Phys Rev 2(4):041101

    Google Scholar 

  47. Trevisan F, Calignano F, Lorusso M, Pakkanen J, Aversa A, Ambrosio E, Lombardi M, Fino P, Manfredi D (2017) On the selective laser melting (SLM) of the AlSi10Mg alloy: process, microstructure, and mechanical properties. Materials 10(1):76

    Google Scholar 

  48. Gardan J (2016) Additive manufacturing technologies: state of the art and trends. Int J Prod Res 54(10):3118–3132

    Google Scholar 

  49. Calignano F, Manfredi D, Ambrosio EP, Biamino S, Lombardi M, Atzeni E, Salmi A, Minetola P, Iuliano L, Fino P (2017) Overview on additive manufacturing technologies. Proc IEEE 105(4):593–612

    Google Scholar 

  50. Körner C (2016) Additive manufacturing of metallic components by selective electron beam melting—a review. Int Mater Rev 61(5):361–377

    Google Scholar 

  51. Derekar KS (2018) A review of wire arc additive manufacturing and advances in wire arc additive manufacturing of aluminium. Mater Sci Technol 34(8):895–916

    Google Scholar 

  52. Fahimnia B, Tang CS, Davarzani H, Sarkis J (2015) Quantitative models for managing supply chain risks: a review. Eur J Oper Res 247(1):1–15

    MATH  Google Scholar 

  53. Rowley J (2004) Conducting a literature review. Manag Res News 27(6):31–39

    Google Scholar 

  54. Ren S, Zhang Y, Liu Y, Sakao T, Huisingh D, Almeida CMVB (2019) A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: a framework, challenges and future research directions. J Clean Prod 210:1343–1365

    Google Scholar 

  55. Tranfield D, Denyer D, Smart P (2003) Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br J Manag 14(3):207–222. https://doi.org/10.1111/1467-8551.00375

    Article  Google Scholar 

  56. Li J, Myant C, Wu B (2016) The current landscape for additive manufacturing research 1edn. Imperial College London, London

    Google Scholar 

  57. Haleem A, Javaid M (2019) 3D printed medical parts with different materials using additive manufacturing. Clin Epidemiol Global Health

  58. Dunaway D, Harstvedt JD, Ma J (2017) A preliminary experimental study of additive manufacturing energy consumption. 58165: V004T005A013

  59. IEA (2012) Key world energy statistics. International Energy Agency, Paris

    Google Scholar 

  60. EIA US-(2016) U.S. energy information administration–EIA–independent statistics and analysis. (2016). http://www.eia.gov/todayinenergy/

  61. Peng T (2016) Analysis of energy utilization in 3D printing processes. Procedia CIRP 40:62–67

    Google Scholar 

  62. Balogun VA, Kirkwood ND, Mativenga PT (2014) Direct electrical energy demand in fused deposition modelling. Procedia CIRP 15:38–43

    Google Scholar 

  63. Faludi J, Bayley C, Bhogal S, Iribarne M (2015) Comparing environmental impacts of additive manufacturing vs traditional machining via life-cycle assessment. Rapid Prototyp J 21(1):14–33

    Google Scholar 

  64. Faludi J, Hu Z, Alrashed S, Braunholz C, Kaul S, Kassaye L (2015) Does material choice drive sustainability of 3D printing? Int J Mech Aerosp Ind Mechatron Eng 9(2):144–151

    Google Scholar 

  65. Yoon H-S, Lee J-Y, Kim H-S, Kim M-S, Kim E-S, Shin Y-J, Chu W-S, Ahn S-H (2014) A comparison of energy consumption in bulk forming, subtractive, and additive processes: review and case study. Int J Precis Eng Manuf Green Technol 1(3):261–279

    Google Scholar 

  66. Clemon L, Sudradjat A, Jaquez M, Krishna A, Rammah M, Dornfeld D (2014) Precision and energy usage for additive manufacturing. In: ASME 2013 international mechanical engineering congress and exposition

  67. Junk S, Côté S (2012) A practical approach to comparing energy effectiveness of rapid prototyping. In: Proceedings of AEPR’12, 17th European forum on rapid prototyping and manufacturing Paris, France

  68. Meteyer S, Xu X, Perry N, Zhao YF (2014) Energy and material flow analysis of binder-jetting additive manufacturing Processes. In: Lien TK (ed) 21st Cirp conference on life cycle engineering, Procedia CIRP, vol 15, pp 19–25

  69. Xu X, Meteyer S, Perry N, Zhao YF (2015) Energy consumption model of Binder-jetting additive manufacturing processes. Int J Prod Res 53(23):7005–7015

    Google Scholar 

  70. Ajay J, Rathore AS, Song C, Zhou C, Xu W (2016) Don’t forget your electricity bills!: an empirical study of characterizing energy consumption of 3D printers. In: Paper presented at the proceedings of the 7th ACM SIGOPS Asia-Pacific workshop on systems, Hong Kong, Hong Kong

  71. Weissman A, Gupta SK (2011) Selecting a design-stage energy estimation approach for manufacturing processes. In: ASME 2011 international design engineering technical conferences and computers and information in engineering conference, Washington, DC, USA, 28–31 August 2011, pp 1075–1086. https://doi.org/10.1115/DETC2011-48418

  72. Santos AL, Almeida HA, Bártolo H, Bártolo PJ (2012) A decision tool for green manufacturing while utilizing. Addit Process 44878:155–161

    Google Scholar 

  73. Yosofi M, Kerbrat O, Mognol P (2018) Energy and material flow modelling of additive manufacturing processes. Virtual Phys Prototyp 13(2):83–96

    Google Scholar 

  74. Nelson JC, Xue S, Barlow JW, Beaman JJ, Marcus HL, Bourell DL (1993) Model of the selective laser sintering of bisphenol-A polycarbonate. Ind Eng Chem Res 32(10):2305–2317

    Google Scholar 

  75. Wang XC, Laoui T, Bonse J, Kruth JP, Lauwers B, Froyen L (2002) Direct Selective Laser Sintering of Hard Metal Powders: experimental Study and Simulation. Int J Adv Manuf Technol 19(5):351–357

    Google Scholar 

  76. Luo Y, Ji Z, Leu MC, Caudill R (1999) Environmental performance analysis of solid freedom fabrication processes. In: Proceedings of the 1999 IEEE international symposium on electronics and the environment (Cat. No.99CH36357), pp 1–6

  77. Baumers M, Tuck C, Hague R, Ashcroft I, Wildman R (2010) A comparative study of metallic additive manufacturing power consumption. In: Solid freeform fabrication symposium Proceeding, The University of Texas at Austin, USA:11

  78. Baumers M, Tuck C, Bourell DL, Sreenivasan R, Hague R (2011) Sustainability of additive manufacturing: measuring the energy consumption of the laser sintering process. Proc Inst Mech Eng Part B J Eng Manuf 225(12):2228–2239

    Google Scholar 

  79. Baumers M, C. Tuck, R. Wildman, I. Ashcroft, Hague R (2011) Energy inputs to additive manufacturing: Does capacity utilization matter? In: In: Proceedings of the 22nd solid freeform fabrication symposium, Austin, TX, USA, pp 30–40

  80. Telenko C, Seepersad CC (2012) A comparison of the energy efficiency of selective laser sintering and injection molding of nylon parts. Rapid Prototyp J 18(6):472–481

    Google Scholar 

  81. Strano G, Hao L, Everson RM, Evans KE (2011) Multi-objective optimization of selective laser sintering processes for surface quality and energy saving. Proc Inst Mech Eng Part B J Eng Manuf 225(9):1673–1682

    Google Scholar 

  82. Strano G, Hao L, Everson RM, Evans KE (2013) A new approach to the design and optimisation of support structures in additive manufacturing. Int J Adv Manuf Technol 66(9):1247–1254

    Google Scholar 

  83. Nimbalkar S, Cox D, Visconti K, Cresko J (2014) Life cycle energy assessment methodology, tool and case studies for additive manufacturing, prepared for advanced manufacturing office, energy efficiency and renewable energy. US Department of Energy, Oak Ridge National Laboratory, Oak Ridge

    Google Scholar 

  84. Kellens K, Yasa E, Dewulf W, Duflou J (2010) Environmental assessment of selective laser melting and selective laser sintering. In: Paper presented at the going green—CARE INNOVATION 2010, 8th edn, Vienna, Austria

  85. Baumers M, Chris T, Ricky W, Ian A, Emma R, Richard H (2013) Transparency built-in. J Ind Ecol 17(3):418–431

    Google Scholar 

  86. Le Bourhis F, Kerbrat O, Hascoet J-Y, Mognol P (2013) Sustainable manufacturing: evaluation and modeling of environmental impacts in additive manufacturing. Int J Adv Manuf Technol 69(9):1927–1939

    Google Scholar 

  87. Mognol P, Denis L, Nicolas P (2006) Rapid prototyping: energy and environment in the spotlight. Rapid Prototyp J 12(1):26–34

    Google Scholar 

  88. Sreenivasan R, Bourell DL (2009) Sustainability study in selective laser sintering—an energy perspective. In: 20th annual international solid freeform fabrication symposium, SFF 2009-Austin, TX, United States, pp 257–265

  89. Kellens K, Wim D, Wim D, Evren Y, Joost D (2010) Environmental analysis of SLM and SLS manufacturing processes. In: In Proceedings of the 2010 CIRP international conference on life cycle engineering, (People’s Republic of China,Heifei), pp 423–428

  90. Morrow WR, Qi H, Kim I, Mazumder J, Skerlos SJ (2007) Environmental aspects of laser-based and conventional tool and die manufacturing. J Clean Prod 15(10):932–943

    Google Scholar 

  91. Le Bourhis F, Kerbrat O, Dembinski L, Hascoet J-Y, Mognol P (2014) Predictive model for environmental assessment in additive manufacturing process. Procedia CIRP 15:26–31

    Google Scholar 

  92. Wilson JM, Piya C, Shin YC, Zhao F, Ramani K (2014) Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis. J Clean Prod 80:170–178

    Google Scholar 

  93. Kreiger M, Pearce JM (2013) Environmental impacts of distributed manufacturing from 3-D printing of polymer components and products. MRS Proc 1492:85–90

    Google Scholar 

  94. Huang R, Riddle M, Graziano D, Warren J, Das S, Nimbalkar S, Cresko J, Masanet E (2016) Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components. J Clean Prod 135:1559–1570

    Google Scholar 

  95. Kellens K, Dewulf W, Overcash M, Hauschild MZ, Duflou JR (2012) Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)-CO2PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: methodology description. Int J Life Cycle Assess 17(1):69–78

    Google Scholar 

  96. Kellens K, Renaldi R, Dewulf W, Kruth J-p, Duflou JR (2014) Environmental impact modeling of selective laser sintering processes. Rapid Prototyp J 20(6):459–470

    Google Scholar 

  97. Franco A, Romoli L (2012) Characterization of laser energy consumption in sintering of polymer based powders. J Mater Process Technol 212(4):917–926

    Google Scholar 

  98. Tian Y, Tomus D, Rometsch P, Wu X (2017) Influences of processing parameters on surface roughness of Hastelloy X produced by selective laser melting. Addit Manuf 13:103–112

    Google Scholar 

  99. Nguyen QB, Luu DN, Nai SML, Zhu Z, Chen Z, Wei J (2018) The role of powder layer thickness on the quality of SLM printed parts. Arch Civil Mech Eng 18(3):948–955

    Google Scholar 

  100. Calignano F, Manfredi D, Ambrosio EP, Iuliano L, Fino P (2013) Influence of process parameters on surface roughness of aluminum parts produced by DMLS. Int J Adv Manuf Technol 67(9):2743–2751

    Google Scholar 

  101. Mumtaz K, Hopkinson N (2009) Top surface and side roughness of Inconel 625 parts processed using selective laser melting. Rapid Prototyp J 15(2):96–103

    Google Scholar 

  102. Brecher C, Jeschke S, Schuh G, Aghassi S, Arnoscht J, Bauhoff F, Welter F (2012) Integrative production technology for high-wage Countries—2012. Springer, Berlin

    Google Scholar 

  103. Majeed A, Ahmed A, Salam A, Sheikh MZ (2019) Surface quality improvement by parameters analysis, optimization and heat treatment of AlSi10Mg parts manufactured by SLM additive manufacturing. Int J Lightweight Mater Manuf 2(4):288–295

    Google Scholar 

  104. Wang D, Yang L, Yongqiang Y, Dongming X (2016) Theoretical and experimental study on surface roughness of 316L stainless steel metal parts obtained through selective laser melting. Rapid Prototyp J 22(4):706–716

    Google Scholar 

  105. Song Y-A, Koenig W (1997) Experimental study of the basic process mechanism for direct selective laser sintering of low-melting metallic powder. CIRP Ann 46(1):127–130

    Google Scholar 

  106. Delgado J, Ciurana J, Rodríguez CA (2012) Influence of process parameters on part quality and mechanical properties for DMLS and SLM with iron-based materials. Int J Adv Manuf Technol 60(5):601–610

    Google Scholar 

  107. Spierings AB, Herres N, Levy G (2011) Influence of the particle size distribution on surface quality and mechanical properties in AM steel parts. Rapid Prototyp J 17(3):195–202

    Google Scholar 

  108. Bacchewar PB, Singhal SK, Pandey PM (2007) Statistical modelling and optimization of surface roughness in the selective laser sintering process. Proc Inst Mech Eng Part B J Eng Manuf 221(1):35–52

    Google Scholar 

  109. Sadowski M, Ladani L, Brindley W, Romano J (2016) Optimizing quality of additively manufactured Inconel 718 using powder bed laser melting process. Addit Manuf 11:60–70

    Google Scholar 

  110. Ning Y, Fuh JYH, Wong YS, Loh HT (2004) An intelligent parameter selection system for the direct metal laser sintering process. Int J Prod Res 42(1):183–199

    Google Scholar 

  111. Strano G, Hao L, Everson RM, Evans KE (2013) Surface roughness analysis, modelling and prediction in selective laser melting. J Mater Process Technol 213(4):589–597

    Google Scholar 

  112. Kruth JP, Mercelis P, Van Vaerenbergh J, Froyen L, Rombouts M (2005) Binding mechanisms in selective laser sintering and selective laser melting. Rapid Prototyp J 11(1):26–36

    Google Scholar 

  113. Abd-Elghany K, Bourell DL (2012) Property evaluation of 304L stainless steel fabricated by selective laser melting. Rapid Prototyp J 18(5):420–428

    Google Scholar 

  114. Wang F, Wu XH, Clark D (2011) On direct laser deposited Hastelloy X: dimension, surface finish, microstructure and mechanical properties. Mater Sci Technol 27(1):344–356

    Google Scholar 

  115. Ålgårdh Karlsson J, Horn T, West H, Aman R, Snis A, Engqvist H, Lausmaa J, Harrysson O (2016) Thickness dependency of mechanical properties for thin-walled titanium parts manufactured by Electron Beam Melting (EBM)®. Addit Manuf 12:45–50

    Google Scholar 

  116. Hagedorn Y-C, Balachandran N, Meiners W, Wissenbach K, Poprawe R (2011) SLM of net-shaped high strength ceramics: new opportunities for producing dental restorations. In: SFF Symposium, Austin, Texas, USA

  117. Fayed EM, Elmesalamy AS, Sobih M, Elshaer Y (2016) Multi-objective optimization for alumina laser sintering process. Lasers Manuf Mater Process 3(3):174–190

    Google Scholar 

  118. Horvath D, Noorani R, Mendelson M (2007) Improvement of surface roughness on ABS 400 polymer using design of experiments (DOE). Mater Sci Forum 561–565:2389–2392

    Google Scholar 

  119. Masood SH, Rattanawong W, Iovenitti P (2003) A generic algorithm for a best part orientation system for complex parts in rapid prototyping. J Mater Process Technol 139(1):110–116

    Google Scholar 

  120. Masood SH, Rattanawong W (2002) A generic part orientation system based on volumetric error in rapid prototyping. Int J Adv Manuf Technol 19(3):209–216

    Google Scholar 

  121. Paul R, Anand S (2011) Optimal part orientation in Rapid Manufacturing process for achieving geometric tolerances. J Manuf Syst 30(4):214–222

    MathSciNet  Google Scholar 

  122. Paul R, Anand S (2015) Optimization of layered manufacturing process for reducing form errors with minimal support structures. J Manuf Syst 36:231–243

    Google Scholar 

  123. Reeves PE, Cobb RC (1997) Reducing the surface deviation of stereolithography using in-process techniques. Rapid Prototyp J 3(1):20–31

    Google Scholar 

  124. Lynn-Charney C, Rosen DW (2000) Usage of accuracy models in stereolithography process planning. Rapid Prototyp J 6(2):77–87

    Google Scholar 

  125. Luis Pérez CJ, Vivancos Calvet J, Sebastián Pérez MA (2001) Geometric roughness analysis in solid free-form manufacturing processes. J Mater Process Technol 119(1):52–57

    Google Scholar 

  126. Sustarsic B, Dolinsek S, Jenko M, Leskovšek V (2009) Microstructure and mechanical characteristics of DMLS tool-inserts. Mater Manuf Process 24(7–8):837–841

    Google Scholar 

  127. Yasa E, Deckers J, Kruth J-P (2011) The investigation of the influence of laser re-melting on density, surface quality and microstructure of selective laser melting parts. Rapid Prototyp J 17(5):312–327

    Google Scholar 

  128. Majeed A, Lv J, Zhang Y, Muzamil M, Waqas A, Shamim K, Qureshi ME, Zafar F (2019) An investigation into the influence of processing parameters on the surface quality of AlSi10Mg parts by SLM process. In: 2019 16th international Bhurban conference on applied sciences and technology (IBCAST), pp 143–147

  129. Barbas A, Bonnet AS, Lipinski P, Pesci R, Dubois G (2012) Development and mechanical characterization of porous titanium bone substitutes. J Mech Behav Biomed Mater 9:34–44

    Google Scholar 

  130. Savalani MM, Ng CC, Man HC (2010) Selective laser melting of magnesium for future applications in medicine. In: Paper presented at the proceedings of the 2010 international conference on manufacturing automation

  131. Hagedorn YC, Balachandron N, Meiners W, Wissenbach K, Poprawe R (2011) SLM of net-shaped high strength ceramics: new opportunities for producing dental restorations. In: Paper presented at the SFF symposium, Austin, Texas, USA

  132. Liu F-H (2012) Synthesis of bioceramic scaffolds for bone tissue engineering by rapid prototyping technique. J Sol-Gel Sci Technol 64(3):704–710

    Google Scholar 

  133. Tang Y, Fuh JYH, Loh HT, Wong YS, Lu L (2003) Direct laser sintering of a silica sand. Mater Des 24(8):623–629

    Google Scholar 

  134. Di Angelo L, Di Stefano P, Marzola A (2017) Surface quality prediction in FDM additive manufacturing. Int J Adv Manuf Technol 93(9):3655–3662

    Google Scholar 

  135. Ahmad MN, Rahman AMH, Maidin NA, Osman MH, Wahid MK, Mohamed SFH, Abd ANA (2020) Optimization on Surface Roughness of Fused Deposition Modelling (FDM) 3D printed parts using taguchi approach. In: Jamaludin Z, Ali Mokhtar MN (eds) Intelligent manufacturing and mechatronics. Springer, Singapore, pp 230–243

    Google Scholar 

  136. Byun H-S, Lee KH (2006) Determination of the optimal build direction for different rapid prototyping processes using multi-criterion decision making. Robot Comput Integr Manuf 22(1):69–80

    Google Scholar 

  137. Campbell RI, Martorelli M, Lee HS (2002) Surface roughness visualisation for rapid prototyping models. Comput Aided Des 34(10):717–725

    Google Scholar 

  138. Ahn D, Kim H, Lee S (2009) Surface roughness prediction using measured data and interpolation in layered manufacturing. J Mater Process Technol 209(2):664–671

    Google Scholar 

  139. Islam MN, Gomer H, Sacks S (2017) Comparison of dimensional accuracies of stereolithography and powder binder printing. Int J Adv Manuf Technol 88(9):3077–3087

    Google Scholar 

  140. Guangshen X, Jing J, Sheng L, ronghua Q, Huan P (2009) Research on optimizing build parameters for stereolithography technology. In: 2009 international conference on measuring technology and mechatronics automation, pp 883–886

  141. Relvas C, Ramos A, Completo A, Simões JA (2012) A systematic approach for an accuracy level using rapid prototyping technologies. Proc Inst Mech Eng Part B J Eng Manuf 226(12):2023–2034

    Google Scholar 

  142. Townsend A, Senin N, Blunt L, Leach RK, Taylor JS (2016) Surface texture metrology for metal additive manufacturing: a review. Precis Eng J Int Soc Precis Eng Nanotechnol 46:34–47

    Google Scholar 

  143. Safdar A, He HZ, Liu-Ying W, Snis A, Luis ECdP (2012) Effect of process parameters settings and thickness on surface roughness of EBM produced Ti–6Al–4V. Rapid Prototyp J 18(5):401–408

    Google Scholar 

  144. Wang L, Jiang X, Guo M, Zhu X, Yan B (2017) Characterisation of structural properties for AlSi10Mg alloys fabricated by selective laser melting. Mater Sci Technol 33(18):2274–2282

    Google Scholar 

  145. Galy C, Le Guen E, Lacoste E, Arvieu C (2018) Main defects observed in aluminum alloy parts produced by SLM: from causes to consequences. Addit Manuf 22:165–175

    Google Scholar 

  146. Malcolm AA, Wong BS, Fan Z (2015) Measurement and characterization of porosity in aluminium selective laser melting parts using X-ray CT AU—Cai Xingfang. Virtual Phys Prototy 10(4):195–206

    Google Scholar 

  147. Wang X, Zhao L, Fuh JYH, Lee HP (2019) Effect of porosity on mechanical properties of 3D printed polymers: experiments and micromechanical modeling based on X-ray computed tomography analysis. Polymers 11(7):1154

    Google Scholar 

  148. Majeed A, Zhang Y, Lv J, Peng T, Atta Z, Ahmed A (2019) Investigation of T4 and T6 heat treatment influences on relative density and porosity of AlSi10Mg alloy components manufactured by SLM. Comput Ind Eng 106:194

    Google Scholar 

  149. Tolosa I, Garciandía F, Zubiri F, Zapirain F, Esnaola A (2010) Study of mechanical properties of AISI 316 stainless steel processed by “selective laser melting”, following different manufacturing strategies. Int J Adv Manuf Technol 51(5):639–647

    Google Scholar 

  150. Milovanovic J, Stojkovic M, Trajanovic M (2009) Rapid tooling of tyre tread ring mould using direct metal laser sintering. J Sci Ind Res 68(12):1038–1042

    Google Scholar 

  151. Casavola C, Campanelli SL, Pappalettere C (2008) Preliminary investigation on distribution of residual stress generated by the selective laser melting process. J Strain Analysis for Eng Des 44(1):93–104

    Google Scholar 

  152. Mostafaei A, Stevens EL, Hughes ET, Biery SD, Hilla C, Chmielus M (2016) Powder bed binder jet printed alloy 625: densification, microstructure and mechanical properties. Mater Des 108:126–135

    Google Scholar 

  153. Sanz C, García Navas V (2013) Structural integrity of direct metal laser sintered parts subjected to thermal and finishing treatments. J Mater Process Technol 213(12):2126–2136

    Google Scholar 

  154. Buchbinder D, Schleifenbaum H, Heidrich S, Meiners W, Bültmann J (2011) High power selective laser melting (HP SLM) of aluminum parts. Phys Procedia 12:271–278

    Google Scholar 

  155. Aboulkhair NT, Everitt NM, Ashcroft I, Tuck C (2014) Reducing porosity in AlSi10Mg parts processed by selective laser melting. Addit Manuf 1–4:77–86

    Google Scholar 

  156. Ben V, Jean-Pierre K (2007) Selective laser melting of biocompatible metals for rapid manufacturing of medical parts. Rapid Prototyp J 13(4):196–203

    Google Scholar 

  157. Chlebus E, Kuźnicka B, Kurzynowski T, Dybała B (2011) Microstructure and mechanical behaviour of Ti-6Al-7Nb alloy produced by selective laser melting. Mater Charact 62(5):488–495

    Google Scholar 

  158. Gu D, Hagedorn Y-C, Meiners W, Meng G, Batista RJS, Wissenbach K, Poprawe R (2012) Densification behavior, microstructure evolution, and wear performance of selective laser melting processed commercially pure titanium. Acta Mater 60(9):3849–3860

    Google Scholar 

  159. Niu X, Shen H, Fu J (2018) Microstructure and mechanical properties of selective laser melted Mg-9 wt%Al powder mixture. Mater Lett 221:4–7

    Google Scholar 

  160. Gu D, Shen Y, Lu Z (2009) Microstructural characteristics and formation mechanism of direct laser-sintered Cu-based alloys reinforced with Ni particles. Mater Des 30(6):2099–2107

    Google Scholar 

  161. Mumtaz KA, Hopkinson N (2007) Laser melting functionally graded composition of Waspaloy® and Zirconia powders. J Mater Sci 42(18):7647–7656

    Google Scholar 

  162. Zhao X, Song B, Fan W, Zhang Y, Shi Y (2016) Selective laser melting of carbon/AlSi10Mg composites: microstructure, mechanical and electronical properties. J Alloy Compd 665:271–281

    Google Scholar 

  163. Ding S, Zou B, Wang P, Ding H (2019) Effects of nozzle temperature and building orientation on mechanical properties and microstructure of PEEK and PEI printed by 3D-FDM. Polym Testing 78:105948

    Google Scholar 

  164. Santos EC, Shiomi M, Osakada K, Laoui T (2006) Rapid manufacturing of metal components by laser forming. Int J Mach Tools Manuf 46(12):1459–1468

    Google Scholar 

  165. Peter M, Jean-Pierre K (2006) Residual stresses in selective laser sintering and selective laser melting. Rapid Prototy J 12(5):254–265

    Google Scholar 

  166. Tumer IY, Thompson DC, Crawford RH, Wood KL (1995) Surface characterization of polycarbonate parts from selective laser sintering. In: Proceedings of 6th solid freeform fabrication symposium, University of Texas at Austin, Austin, TX, pp 181–188

  167. Thompson DC, Crawford RH (1997) Computational quality measures for evaluation of part orientation in freeform fabrication. J Manuf Syst 16(4):273–289

    Google Scholar 

  168. Rehme O, Emmelmann C (2006) Rapid manufacturing of lattice structures with selective laser melting. In: Lasers and applications in science and engineering, SPIE, p 12

  169. Ghany KA, Moustafa SF (2006) Comparison between the products of four RPM systems for metals. Rapid Prototyp J 12(2):86–94

    Google Scholar 

  170. Wang Y, Bergström J, Burman C (2009) Thermal fatigue behavior of an iron-based laser sintered material. Mater Sci Eng A 513–514:64–71

    Google Scholar 

  171. Karczewski K, Dąbrowska M, Ziętala M, Polański M (2017) Fe-Al thin walls manufactured by laser engineered net shaping. J Alloy Compd 696:1105–1112

    Google Scholar 

  172. Guan K, Wang Z, Gao M, Li X, Zeng X (2013) Effects of processing parameters on tensile properties of selective laser melted 304 stainless steel. Mater Des 50:581–586

    Google Scholar 

  173. Spierings AB, Starr TL, Wegener K (2013) Fatigue performance of additive manufactured metallic parts. Rapid Prototyp J 19(2):88–94

    Google Scholar 

  174. Gaytan SM, Murr LE, Medina F, Martinez E, Lopez MI, Wicker RB (2009) Advanced metal powder based manufacturing of complex components by electron beam melting. Mater Technol 24(3):180–190

    Google Scholar 

  175. Zhao X, Li S, Zhang M, Liu Y, Sercombe TB, Wang S, Hao Y, Yang R, Murr LE (2016) Comparison of the microstructures and mechanical properties of Ti–6Al–4 V fabricated by selective laser melting and electron beam melting. Mater Des 95:21–31

    Google Scholar 

  176. Murr LE, Esquivel EV, Quinones SA, Gaytan SM, Lopez MI, Martinez EY, Medina F, Hernandez DH, Martinez E, Martinez JL, Stafford SW, Brown DK, Hoppe T, Meyers W, Lindhe U, Wicker RB (2009) Microstructures and mechanical properties of electron beam-rapid manufactured Ti–6Al–4V biomedical prototypes compared to wrought Ti–6Al–4V. Mater Charact 60(2):96–105

    Google Scholar 

  177. Tan X, Kok Y, Tan YJ, Descoins M, Mangelinck D, Tor SB, Leong KF, Chua CK (2015) Graded microstructure and mechanical properties of additive manufactured Ti-6Al-4 V via electron beam melting. Acta Mater 97:1–16

    Google Scholar 

  178. Qiu C, Ravi GA, Dance C, Ranson A, Dilworth S, Attallah MM (2015) Fabrication of large Ti–6Al–4V structures by direct laser deposition. J Alloy Compd 629:351–361

    Google Scholar 

  179. Kobryn P, Semiatin S (2001) Mechanical properties of laser-deposited Ti–6Al–4V. In: Solid Freeform Fabrication Proceedings

  180. Sterling AJ, Torries B, Shamsaei N, Thompson SM, Seely DW (2016) Fatigue behavior and failure mechanisms of direct laser deposited Ti–6Al–4 V. Mater Sci Eng A 655:100–112

    Google Scholar 

  181. Baudana G, Biamino S, Klöden B, Kirchner A, Weißgärber T, Kieback B, Pavese M, Ugues D, Fino P, Badini C (2016) Electron Beam Melting of Ti–48Al–2Nb–0.7Cr–0.3Si: feasibility investigation. Intermetallics 73:43–49

    Google Scholar 

  182. Zhang LC, Klemm D, Eckert J, Hao YL, Sercombe TB (2011) Manufacture by selective laser melting and mechanical behavior of a biomedical Ti–24Nb–4Zr–8Sn alloy. Scripta Mater 65(1):21–24

    Google Scholar 

  183. Trosch T, Strößner J, Völkl R, Glatzel U (2016) Microstructure and mechanical properties of selective laser melted Inconel 718 compared to forging and casting. Mater Lett 164:428–431

    Google Scholar 

  184. Wang Z, Guan K, Gao M, Li X, Chen X, Zeng X (2012) The microstructure and mechanical properties of deposited-IN718 by selective laser melting. J Alloy Compd 513:518–523

    Google Scholar 

  185. Rickenbacher L, Etter T, Hövel S, Wegener K (2013) High temperature material properties of IN738LC processed by selective laser melting (SLM) technology. Rapid Prototyp J 19(4):282–290

    Google Scholar 

  186. Wang FD (2012) Mechanical property study on rapid additive layer manufacture Hastelloy (R) X alloy by selective laser melting technology. Int J Adv Manuf Technol 58(5–8):545–551

    Google Scholar 

  187. Vilaro T, Colin C, Bartout JD, Nazé L, Sennour M (2012) Microstructural and mechanical approaches of the selective laser melting process applied to a nickel-base superalloy. Mater Sci Eng A 534:446–451

    Google Scholar 

  188. Buchbinder D, Meiners W, Wissenbach K, Poprawe R (2015) Selective laser melting of aluminum die-cast alloy—correlations between process parameters, solidification conditions, and resulting mechanical properties. J Laser Appl 27(S2):S29205

    Google Scholar 

  189. Raus AA, Wahab MS, Ibrahim M, Kamarudin K, Ahmed A, Shamsudin S (2017) Mechanical and physical properties of AlSi10Mg processed through selective laser melting. AIP Conf Proc 1831(1):020027

    Google Scholar 

  190. Kempen K, Thijs L, Van Humbeeck J, Kruth JP (2015) Processing AlSi10Mg by selective laser melting: parameter optimisation and material characterisation. Mater Sci Technol 31(8):917–923

    Google Scholar 

  191. Read N, Wang W, Essa K, Attallah MM (2015) Selective laser melting of AlSi10Mg alloy: process optimisation and mechanical properties development. Mater Des 1980–2015(65):417–424

    Google Scholar 

  192. Karg M, Ahuja B, Wiesenmayer S, Kuryntsev S, Schmidt M (2017) Effects of process conditions on the mechanical behavior of aluminium wrought Alloy EN AW-2219 (AlCu6Mn) additively manufactured by laser beam melting in powder bed. Micromachines 8(1):23

    Google Scholar 

  193. Zhang H, Zhu H, Qi T, Hu Z, Zeng X (2016) Selective laser melting of high strength Al–Cu–Mg alloys: processing, microstructure and mechanical properties. Mater Sci Eng A 656:47–54

    Google Scholar 

  194. Montero-Sistiaga ML, Mertens R, Vrancken B, Wang X, Van Hooreweder B, Kruth J-P, Van Humbeeck J (2016) Changing the alloy composition of Al7075 for better processability by selective laser melting. J Mater Process Technol 238:437–445

    Google Scholar 

  195. Gussev MN, Sridharan N, Norfolk M, Terrani KA, Babu SS (2017) Effect of post weld heat treatment on the 6061 aluminum alloy produced by ultrasonic additive manufacturing. Mater Sci Eng A 684:606–616

    Google Scholar 

  196. Schmidtke K, Palm F, Hawkins A, Emmelmann C (2011) Process and mechanical properties: applicability of a scandium modified Al-alloy for laser additive manufacturing. In: Schmidt M, Zaeh M, Graf T, Ostendorf A (eds) Lasers in manufacturing 2011: proceedings of the sixth international Wlt conference on lasers in manufacturing, Physics Procedia, Vol 12, Pt A, vol 12, pp 369–374

  197. Masood SH, Mau K, Song WQ (2010) Tensile properties of processed FDM polycarbonate material. Mater Sci Forum 654–656:2556–2559

    Google Scholar 

  198. Petrovic V, Gonzalez JVH, Ferrando OJ, Gordillo JD, Puchades JRB, Grinan LP (2011) Additive layered manufacturing: sectors of industrial application shown through case studies. Int J Prod Res 49(4):1061–1079

    Google Scholar 

  199. Riss F, Schilp J, Reinhart G (2014) Load-dependent optimization of honeycombs for sandwich components—new possibilities by using additive layer manufacturing. Phys Procedia 56:327–335

    Google Scholar 

  200. Li P, Warner D, Fatemi A, Phan ND (2016) On the Fatigue performance of additively manufactured Ti–6Al–4V to enable rapid qualification for aerospace applications. In: 57th AIAA/ASCE/AHS/ASC structures, structural dynamics, and materials conference. AIAA SciTech Forum. American Institute of aeronautics and astronautics

  201. Ben B, Wes E, Joe D (2016) Characterization of bulk to thin wall mechanical response transition in powder bed AM. Rapid Prototy J 22(5):801–809

    Google Scholar 

  202. Song C, Yang Y, Liu Y, Luo Z, Yu J-K (2015) Study on manufacturing of W-Cu alloy thin wall parts by selective laser melting. Int J Adv Manuf Technol 78(5):885–893

    Google Scholar 

  203. Ahuja B, Schaub A, Karg M, Lechner M, Merklein M, Schmidt M (2014) Developing LBM process parameters for Ti–6Al–4V thin wall structures and determining the corresponding mechanical characteristics. Phys Procedia 56:90–98

    Google Scholar 

  204. Ahuja B, Karg M, Nagulin KY, Schmidt M (2014) Fabrication and characterization of high strength Al–Cu alloys processed using laser beam melting in metal powder bed. Phys Procedia 56:135–146

    Google Scholar 

  205. Krauss H, Zaeh MF (2013) Investigations on manufacturability and process reliability of selective laser melting. Phys Procedia 41:815–822

    Google Scholar 

  206. Qiu C, Yue S, Adkins NJE, Ward M, Hassanin H, Lee PD, Withers PJ, Attallah MM (2015) Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser melting. Mater Sci Eng A 628:188–197

    Google Scholar 

  207. Abele E, Stoffregen HA, Kniepkamp M, Lang S, Hampe M (2015) Selective laser melting for manufacturing of thin-walled porous elements. J Mater Process Technol 215:114–122

    Google Scholar 

  208. Alexander I, Vladimir G, Petr P, Mihail K, Yuriy I, Andrey V (2016) Machining of thin-walled parts produced by additive manufacturing technologies. Procedia CIRP 41:1023–1026

    Google Scholar 

  209. Peng L, Shengqin J, Xiaoyan Z, Qianwu H, Weihao X (2007) Direct laser fabrication of thin-walled metal parts under open-loop control. Int J Mach Tools Manuf 47(6):996–1002

    Google Scholar 

  210. Ri-sheng L, Shao-ni S, Zi-sheng L (2016) The influence of scanning methods on the cracking failure of thin-wall metal parts fabricated by laser direct deposition shaping. Eng Fail Anal 59:269–278

    Google Scholar 

  211. Kunce I, Polanski M, Karczewski K, Plocinski T, Kurzydlowski KJ (2015) Microstructural characterisation of high-entropy alloy AlCoCrFeNi fabricated by laser engineered net shaping. J Alloy Compd 648:751–758

    Google Scholar 

  212. Zhao J, Ma A, Ji X, Jiang J, Bao Y (2018) Slurry erosion behavior of AlxCoCrFeNiTi0.5 high-entropy alloy coatings fabricated by laser cladding. Metals 8(2):126

    Google Scholar 

  213. Colegrove PA, Coules HE, Fairman J, Martina F, Kashoob T, Mamash H, Cozzolino LD (2013) Microstructure and residual stress improvement in wire and arc additively manufactured parts through high-pressure rolling. J Mater Process Technol 213(10):1782–1791

    Google Scholar 

  214. Ding D, Pan Z, Cuiuri D, Li H (2015) A practical path planning methodology for wire and arc additive manufacturing of thin-walled structures. Robot Comput Integr Manuf 34:8–19

    Google Scholar 

  215. Majeed A, Iqbal A, Lv J (2018) Enhancement of tool life in drilling of hardened AISI 4340 steel using 3D FEM modeling. Int J Adv Manuf Technol 95(5–8):1875–1889

    Google Scholar 

  216. Ganesan T, Elamvazuthi I, Shaari KZK, Vasant P (2013) An algorithmic framework for multiobjective optimization. Sci World J 2013:11

    MATH  Google Scholar 

  217. Cheng W, Fuh JYH, Nee AYC, Wong YS, Loh HT, Miyazawa T (1995) Multi-objective optimization of part- building orientation in stereolithography. Rapid Prototyp J 1(4):12–23

    Google Scholar 

  218. Thrimurthulu K, Pandey PM, Venkata Reddy N (2004) Optimum part deposition orientation in fused deposition modeling. Int J Mach Tools Manuf 44(6):585–594

    MATH  Google Scholar 

  219. Pandey PM, Thrimurthulu K, Reddy NV (2004) Optimal part deposition orientation in FDM by using a multicriteria genetic algorithm. Int J Prod Res 42(19):4069–4089

    MATH  Google Scholar 

  220. Singhal SK, Jain PK, Pandey PM, Nagpal AK (2009) Optimum part deposition orientation for multiple objectives in SL and SLS prototyping. Int J Prod Res 47(22):6375–6396

    Google Scholar 

  221. Choi SH, Samavedam S (2002) Modelling and optimisation of Rapid Prototyping. Comput Ind 47(1):39–53

    Google Scholar 

  222. Vosniakos GC, Maroulis T, Pantelis D (2007) A method for optimizing process parameters in layer-based rapid prototyping. Proc Inst Mech Eng Part B J Eng Manuf 221(8):1329–1340

    Google Scholar 

  223. Strano G, Hao L, Evans KE, Everson RM (2010) Optimisation of quality and energy consumption for additive layer manufacturing processes. In: 5th international conference on responsive manufacturing—green manufacturing (ICRM 2010), pp 364–369

  224. Phatak AM, Pande SS (2012) Optimum part orientation in Rapid Prototyping using genetic algorithm. J Manuf Syst 31(4):395–402

    Google Scholar 

  225. Rong-Ji W, Xin-hua L, Qing-ding W, Lingling W (2009) Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm. Int J Adv Manuf Technol 42(11):1035–1042

    Google Scholar 

  226. Griffiths CA, Howarth J, De Almeida-Rowbotham G, Rees A, Kerton R (2016) A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing. J Clean Prod 139:74–85

    Google Scholar 

  227. Roysarkar KP, Banerjee PS, Sinha A, Banerjee MK Multi-objective optimization for part quality in stereolithography. In: 2009 international conference on computers and industrial engineering, pp 617–623

  228. Gurrala PK, Regalla SP (2014) Multi-objective optimisation of strength and volumetric shrinkage of FDM parts. Virtual Phys Prototy 9(2):127–138

    Google Scholar 

  229. Ituarte IF, Coatanea E, Salmi M, Tuomi J, Partanen J (2015) Additive manufacturing in production: a study case applying technical requirements. Phys Procedia 78:357–366

    Google Scholar 

  230. Arısoy YM, Criales LE, Özel T, Lane B, Moylan S, Donmez A (2017) Influence of scan strategy and process parameters on microstructure and its optimization in additively manufactured nickel alloy 625 via laser powder bed fusion. Int J Adv Manuf Technol 90(5):1393–1417

    Google Scholar 

  231. Zhang JW, Peng AH (2012) process-parameter optimization for fused deposition modeling based on taguchi method. Adv Mater Res 538–541:444–447

    Google Scholar 

  232. Peng A, Xiao X, Yue R (2014) Process parameter optimization for fused deposition modeling using response surface methodology combined with fuzzy inference system. Int J Adv Manuf Technol 73(1):87–100

    Google Scholar 

  233. Rayegani F, Onwubolu GC (2014) Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE). Int J Adv Manuf Technol 73(1):509–519

    Google Scholar 

  234. Mohamed OA, Masood SH, Bhowmik JL (2015) Optimization of fused deposition modeling process parameters: a review of current research and future prospects. Adv Manuf 3(1):42–53

    Google Scholar 

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (No. 51505423, 51705428), Natural Science Basic Research Plan in Shaanxi Province of China (No. 2020JQ-380), and Natural Science Foundation of Zhejiang Province (No. LY19E050019).

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Majeed, A., Ahmed, A., Lv, J. et al. A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes. J Braz. Soc. Mech. Sci. Eng. 42, 249 (2020). https://doi.org/10.1007/s40430-020-02323-4

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