Abstract
The materials and manufacturing processes are evolving very rapidly subject to today’s high performance, shorter lead times, and high part complexity needs. With over 80,000 materials, various manufacturing technologies (additive and traditional), diverse streams of application (aerospace, motor vehicles, health care, etc.), and high cost incurred due to manufacturability of the part, it has become essential to choose the right compromise of technology resource in early stages of design considering the Design for Manufacturing (DFM)/Design for Additive Manufacturing (DFAM) guidelines. The concerned literature to date focuses on manufacturing technology selection by being either part specific or application specific. As multiple criteria are involved for decision making, this paper provides a thorough review on the following questions: (1) What are the common design criteria used in literature for additive and traditional manufacturing technologies with respect to product-process integration? (2) What is the literature contribution for material and manufacturing process selection strategies with special focus on comparison of additive and traditional manufacturing technologies? The paper attempts to provide as a result a basic generic methodology for resource selection (RS) which will not only take into account all of the areas of application, DFM/DFAM guidelines, and three design criteria (function, cost, and environment), but will also discuss avenues for collaborative product development. A complex industrial case study is also presented to test the proposed methodology.
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References
Whitney DE (1988) Manufacturing by design. Harv Bus Rev 66(4):83–91
Budiono HDS, Kiswanto G, Soemardi TP (2014) Method and model development for manufacturing cost estimation during the early design phase related to the complexity of the machining processes. International Journal of Technology 2:183–192
Ranjan R, Samant R, Anand S (2015) Design for Manufacturability in Additive Manufacturing using Graph Based Approach. Proceedings of ASME 2015 International Manufacturing Science and Engineering Conference, Charlotte, North Carolina, USA, pp. V001T02A069, doi:10.1115/MSEC2015-9448
Loch C, Terwiesch C (2000) Product development and concurrent engineering. Encyclopedia of Production and Manufacturing Management 16:567–575
Marx WJ, Mavris DN, Schrage DP (1994) Integrating Design and Manufacturing for a High Speed Civil Transport Wing. Presented at the 19th ICAS/AIAA Aircraft Systems Conference, Anaheim, CA
Yang S, Zhao YF (2015) Additive manufacturing-enabled design theory and methodology: a critical review. Int J Adv Manuf Technol. doi:10.1007/s00170-015-6994-5
Tang X, Bassir DH, Zhang W (2011) Shape, sizing optimization and material selection based on mixed variables and genetic algorithm. Journal of Optimization Engineering 12:111–128
Farag MM (2002) Quantitative Methods of Material Selection. In: Mechanical Engineers’ Handbook: Materials and Mechanical Design, 3rd edn. doi:10.1002/0471777447.ch14
ASTM (2012) Standard Terminology for Additive Manufacturing Technologies, Standard F2792-12a, ASTM International, West Conshohocken, PA, 2012, doi:10.1520/F2792-10, www.astm.org
Kuo TC, Huang SH, Zhang HC (2001) Design for Manufacture and Design for ‘X’: concepts, applications and perspectives. Journal of Computers and Industrial Engineering 41:241–260
Hague R, Mansour S, Saleh N (2003) Design opportunities with rapid manufacturing. Journal of Assembly Automation 23(4):346–356
Hopkinson N, Dickens P (2006) Emerging rapid manufacturing processes. In: Rapid manufacturing-an industrial revolution for the digital age. Wiley, Chichester, pp. 55–80
Horn TJ, Harrysson OLA (2012) Overview of current additive manufacturing technologies and selected applications. Journal of Science Progress 95(3):255–282
Kerbrat O, Mognol P, Hascoet JV (2011) A new DFM approach to combine machining and additive manufacturing. Journal of Computers in Industry 62(7):684–692
Hague R, Mansour S, Saleh N (2004) Material and design considerations for rapid manufacturing. Int J Prod Res 42(22):4691–4708
Atzeni E, Iuliano L, Minetola P, Salmi A (2010) Redesign and cost estimation of rapid manufactured plastic parts. Rapid Prototyp J 16(5):308–317
Cotteleer M, Holdowsky J, Mahto M (2013) The 3D opportunity primer: the basics of additive manufacturing, a Deloitte series on additive manufacturing. Deloitte University Press, Westlake
Sharon F (2014) Additive manufacturing technology: potential implications for U.S. manufacturing competitiveness. Journal of International Commerce and Economics 6(1):41–74
Giachetti RE (1997) A decision support system for material and manufacturing process selection. J Intell Manuf 9:265–276
Jahan A, Ismail MY, Sapuan SM, Mustapha F (2010) Material screening and choosing methods – a review. Journal of Materials and Design 31:696–705
Deng YM, Edwards KL (2007) The role of materials identification and selection in engineering design. Journal of Materials and Design 28:131–139
Wright IC (1998) Design methods in engineering and product design. McGraw-Hill, London
Gibson I, Rosen D, Stucker B (2015) Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing, 2nd edn. Springer, New York Heidelberg Dordrecht London ISBN: 978-1-4939-2112-6
Zhang L, Luo Y, Tao F, Li BH, Ren L, Zhang X, Guo H, Cheng Y, Hu A, Liu Y (2012) Cloud manufacturing: a new manufacturing paradigm. Enterprise Information Systems. doi:10.1080/17517575.2012.683812
Farag MM (2014) Materials and process selection for engineering design. Taylor and Francis Group, Boca Raton ISBN: 978-1-4665-6410-7
Quan W, Jianmin H (2006) A study on collaborative mechanism for product design in distributed concurrent engineering. IEEE. doi:10.1109/CAIDCD.2006.329445
Balaji S, Murugaiyan MS (2012) Waterfall vs V-model vs agile: a comparative study on SDLC. International Journal of Information Technology and Business Management 2(1):26–30
Royce W (1970) Managing the development of large software systems. Proceedings of IEEE WESCON 26:1–9
Tichkiewitch S, Veron M (1998) Integration of manufacturing processes in design. CIRP Annals–Manufacturing Technology 47(1):99–102
Thibault A, Siadat A, Sadeghi M, Bigot R, Martin P (2008) Knowledge formalization for product-process integration applied to forging domain. International Journal for Advanced Manufacturing Technology 44:1116–1132
Skander A, Roucoules L, Klein Meyer JS (2008) Design and manufacturing Interface modelling for manufacturing processes selection and knowledge synthesis in design. Int J Adv Manuf Technol 37(5–6):443–454
Roucoules L, Skander A (2003) Manufacturing Process Selection and Integration in Product Design: Analysis and Synthesis Approaches. Proceeding of the 2003 CIRP Design Seminar, Grenoble, France
Bernard A, Perry N, Delplace JC, Gabriel S (2003) Quotation for the Value Added Assessment during Product Development and Production Processes. Proceeding of the 2003 CIRP Design Seminar, Grenoble, France
Klahn C, Leutenecker B, Meboldt M (2015) Design strategies for the process of additive manufacturing. Procedia CIRP 36:230–235
Klahn C, Leutenecker B, Meboldt M (2014) Design for Additive Manufacturing–Supporting the substitution of components in series products. Procedia CIRP 21:138–143
Boivie K, Sorby K, Brotan V, Ystgaard P (2011) Development of a hybrid manufacturing cell; integration of additive manufacturing with CNC machining. In: 22nd annual international solid freeform fabrication symposium–an additive manufacturing conference. The University of Texas, Austin, pp. 153–163
Ponche R, Kerbrat O, Mognol P, Hascoet JV (2014) A novel methodology of Design for Additive Manufacturing applied to additive laser manufacturing process. Robot Comput Integr Manuf 30:389–398
D’Antonio G, Segonds F, Bedolla JS, Chiabert P, Anwer N (2016) A proposal of manufacturing execution system integration in design for additive manufacturing. Product Lifecycle Management in the Era of Internet of Things: IFIP Advances in Information and Communication Technology 467:761–770
Rosen DW (2007) Computer-aided Design for Additive Manufacturing of cellular structures. Computer Aided Design and Applications 4(5):585–594
Shercliff HR, Lovatt AM (2001) Selection of manufacturing processes in design and the role of process modelling. Journal of Progress in Materials Science 46:429–459
Ashby MF (2005) Materials selection in mechanical design, 3rd edn. Butterworth-Heinemann Linacre House, Jordan Hill, Oxford, UK ISBN: 0-7506-6168-2
Ashby MF, Cebon D, Silva A (2012) Teaching Engineering Materials: CES EduPack, Granta Teaching Resources, © Granta Design
Tang Y, Hascoet JY, Zhao YF (2014) Integration of Topological and Functional Optimization in Design for Additive Manufacturing. Proceedings of the ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA2014–20381, p 1–8
Ponche R, Kerbrat O, Mognol P, Hascoet JV (2012) Consideration of the Manufacturing Trajectories in a Global Design for Additive Manufacturing Methodology. Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis, Nantes, France, p 745–754
Bendsoe MP, Kikuchi N (1988) Generating optimal topologies in structural design using a homogenization method. Journal of Computer Methods in Applied Mechanics and Engineering 71(2):197–224
Bendsoe MP, Ben-Tal A, Zowe J (1994) Optimization methods for truss geometry and topology design. Journal of Structural Optimization 7(3):141–159
Dorn WS, Gomory RE, Greenberg HJ (1964) Automatic Design of Optimal Structures. Journal de Mecanique 3(1):25–52
Xie Y, Steven GP (1993) A simple evolutionary procedure for structural optimization. Comput Struct 49(5):885–896
Young V, Querin O, Steven G, Xie Y (1999) 3D and multiple load case Bi-directional evolutionary structural optimization (BESO). Journal of Structural and Multi-Disciplinary Optimization 18(2–3):183–192
Rozvany GIN, Zhou M, Birker T (1992) Generalized shape optimization without homogenization. Journal of Structural and Multi-Disciplinary Optimization 4:250–254
Wang SY, Tai K (2005) Structural topology design optimization using genetic algorithms with a bit-Array representation. Comput Methods Appl Mech Eng 194(36–38):3749–3770
Chen Z, Gao L, Qiu H, Shao X (2009) Combining Genetic Algorithms with Optimality Criteria Method for Topology Optimization. In: Proceedings of Bio-Inspired Computing, BICTA'09, IEEE, p 1–6
Wang H, Rosen DW (2002) Parametric Modeling Method for Truss Structures. Proceedings of 2002 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC02/CIE-34495, Atlanta, USA, p 759–767
Chen Y (2007) 3D texture mapping for rapid manufacturing. Computer Aided Design & Applications 4(6):761–771
Muller P, Mognol P, Hascoet JY (2013) Modeling and control of a direct laser powder deposition process for functionally graded materials (FGM) parts manufacturing. J Mater Process Technol 213(5):685–692
Vayre B, Vignat F, Villeneuve F (2012) Designing for additive manufacturing. 45th CIRP Conference on Manufacturing Systems 3:632–637
Hopkinson N, Dickens P (2003) Analysis of rapid manufacturing-using layer manufacturing processes for production. Proc Inst Mech Eng C J Mech Eng Sci 217(1):31–39
Ruffo M, Tuck C, Hague R (2006) Cost estimation for rapid manufacturing–laser sintering production for low to medium volumes. J Eng Manuf 220:1417–1427
Lindemann C, Jahnke U, Moi M, Koch R (2012) Analyzing Product Lifecycle Costs for a Better Understanding of Cost Drivers in Additive Manufacturing. In 23rd Annual International Solid Freeform Fabrication Symposium–An Additive Manufacturing Conference, Austin, USA
Atzeni E, Salmi A (2012) Economics of additive manufacturing for end-usable metal parts. Int J Adv Manuf Technol 62:1147–1155
Allen J (2006) An Investigation into the Comparative Costs of Additive Manufacture vs. Machine from Solid for Aero Engine Parts. In Cost Effective Manufacture via Net-Shape Processing, Meeting Proceedings RTO-MP-AVT-139, 17, p 17–1–17-10
Huang SH, Liu P, Mokasdar A, Hou L (2013) Additive manufacturing and its societal impact: a literature review. Int J Adv Manuf Technol 67:1191–1203
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
Mognol P, Lepicart D, Perry N (2006) Rapid prototyping: energy and environment in the spotlight. Rapid Prototyp J 12(1):26–34
Kranz J, Herzog D, Emmelmann C (2015) Design guidelines for laser additive manufacturing of light-weight structures in TiAl6V4. Journal of Laser Applications 27:S14001-1-16
Seepersad CC, Govett T, Kim K, Lundin M, Pinero D (2012) A Designer's Guide for Dimensioning and Tolerancing SLS Parts. 23rd Annual International Solid Freeform Fabrication Symposium-An Additive Manufacturing Conference, p 921–931
Caramia M, Dell’Olmo P (2008) Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level and Safety with Optimization Algorithms. Springer–Verlag London Limited, ISBN: 978–1–84800-381-1
Ashby MF (1999) Multi-objective optimization in material design and selection. Journal of Acta Materialia 48:359–369
Zhou CC, Yin GF, Hu XB (2009) Multi-objective optimization of material selection for sustainable products: artificial neural networks and genetic algorithm approach. Journal of Material Design 30:1209–1215
Shi P (2005) Neural network approach to material selection for injection molded parts. Harbin Gongye Daxue Xuebao/J, Harbin Institute of Technology 37
Ramadan SZ (2016) Binary programming for manufacturing material and manufacturing process selection using genetic algorithms. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering 10:243–246
Sakundarini N, Taha Z, Rashid SHA, Ghazilla RA (2013) Multi-objective optimization for high recyclability material selection using genetic algorithm. Int J Adv Manuf Technol 68:1441–1451
Farag MM, El-Magd E (1992) An integrated approach to product design, materials selection and cost estimation. Journal of Material Design 13:323–327
Najafi A, Rais-Rohani M (2012) Concurrent Process-Product Design Optimization using Coupled Non-Linear Finite Element Simulations. In: Dr. Farzad Ebrahimi (ed) Finite Element Analysis-Applications in Mechanical Engineering. InTech. doi:10.5772/47852
modeFRONTIER (2008) Multi-objective Optimization and Decision Making Process in Engineering Design. modeFRONTIER Special Issue, Newsletter EnginSoft, Downloaded from http://www.enginsoft.com/assets/img/tecnology/pido/MULTIOBJECTIVE_newsletter08-eng.pdf.
Rao RV, Davim JP (2008) A decision-making framework model for material selection using a combined multiple attribute decision making method. Int J Adv Manuf Technol 35:751–760
Khabbaz RS, Manshadi BD, Abedian A, Mahmudi R (2009) A simplified fuzzy logic approach for materials selection in mechanical engineering design. Journal of Materials and Design 30:687–697
Maleque MA, Dyuti S (2010) Materials selection of a bicycle frame using cost per unit property property and digital logic methods. International Journal of Mechanical and Materials Engineering 5(1):95–100
Ashby MF (2009) Material and Process Charts. The CES EduPack Resource Booklet 2, © Granta Design
Berman AF, Maltugueva GS, Yurin AY (2015) Application of Case-Based Reasoning and Multi-Criteria Decision Making Methods for Material Selection in Petrochemistry. Journal of Materials, Design and Applications 1–9
Chen RW, Navin-Chandra D, Nair I, Prinz F, Wadehra IL (1995) ImSelection–An Approach for Material Selection that Integrates Mechanical Design and Lifecycle Environment Burdens. In: Anon (ed) IEEE International Symposium on Electronics and the Environment, Orlando, FL, USA, p 68–74
Kumar S, Singh R (2007) An intelligent system for modeling and material selection for progressive die components. Journal of Key Engineering Materials 344:873–880
Kesteren VIEH, Stappers PJ, De Bruijn JCM (2007) Materials in product selection: tools for including user-interaction in materials selection. International Journal of Design 1(3):41–55
Ipek M, Selvi IH, Findik F, Torkul O, Cedimoglu IH (2013) An expert system based material selection approach to manufacturing. Journal of Materials and Design 47:331–340
Zha XF (2005) A web-based advisory system for process and material selection in concurrent product design for a manufacturing environment. Int J Adv Manuf Technol 25:233–243
Rao RV (2013) Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer Series in Advanced Manufacturing. doi:10.1007/978-1-4471-4375-8_2
Gupta S, Dangayach GS, Singh AK, Rao PN (2015) Analytic hierarchy process (AHP) model for evaluating sustainable manufacturing practices in Indian electrical panel industries. Procedia–Social and Behavioral Sciences 189:208–216
Desai S, Bidanda B, Lovell MR (2012) Material and process selection in product design using decision making technique (AHP). European Journal of Industrial Engineering 6(3):322–346
Armillotta A (2007) Selection of layered manufacturing techniques by an adaptive AHP decision model. Journal of Robotics and Computer-Integrated Manufacturing 24:450–461
Singh S, Olugu EU, Musa SN, Mahat AB, Wong KY (2015) Strategy selection for sustainable manufacturing with integrated AHP-VIKOR method under interval-valued fuzzy environment. Int J Adv Manuf Technol. doi:10.1007/s00170-015-7553-9
Milani AS, Shanian A (2006) A gear material selection with uncertain and incomplete data: material performance indices and decision aid model. Int J Mech Mater Des 3:209–222
Chakladar ND, Chakraborty S (2008) A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection. J Eng Manuf 222:1613–1623
Shanian A, Savadogo O (2006) A non-compensatory compromised solution for material selection of bipolar plates for polymer electrolyte membrane fuel cell (PEMFC) using ELECTRE IV. Journal of Electrochimica Acta 56:5037–5015
Shanian A, Milani AS, Carcon C, Abeyarante RC (2008) A new application of ELECTRE III and revised SIMO’s procedure of group material selection under weighting uncertainty. Journal of Knowledge Based Systems 21:709–720
Jahan A, Mustapha F, Sapuan SM (2012) A framework for weighting of criteria in ranking stage of material selection process. Int J Adv Manuf Technol 58:411–420
Khoda AKMB, Koc B (2013) Functionally heterogeneous porous scaffold Design for Tissue Engineering. CAD Computer Aided Design 45(11):1276–1293
Podshivalov L, Gomes CM, Zocca A, Guenster J, Bar-Yoseph P, Fischer A (2013) Design, analysis and additive manufacturing of porous structures for biocompatible microscale scaffolds. Procedia CIRP 5:247–252
Sroufe R, Curkovic S, Montabon F, Melnyk SA (2000) The new product design process and Design for Environment. International Journal of Operations and Production Management 20(2):267–291
Adam GAO, Zimmer D (2014) Design for Additive Manufacturing-Element Transitions and Aggregated Structures. CIRP J Manuf Sci Technol 7(4):20–28
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Khaleeq uz Zaman, U., Siadat, A., Rivette, M. et al. Integrated product-process design to suggest appropriate manufacturing technology: a review. Int J Adv Manuf Technol 91, 1409–1430 (2017). https://doi.org/10.1007/s00170-016-9765-z
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DOI: https://doi.org/10.1007/s00170-016-9765-z