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Optimization of direct metal printing process parameters for plastic injection mold with both gas permeability and mechanical properties using design of experiments approach

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Abstract

Direct metal laser sintering (DMLS) technology plays an important role in molds or dies industry. The distinct feature of the metal components, molds, or dies fabricated by DMLS possesses gas permeability. However, the mechanical properties of the fabricated molds were influenced by degree of gas permeability. In this study, the design of experiments (DOE) approach was employed to optimize the DMLS process parameters for fabricating plastic injection mold with better gas permeability and mechanical properties. It was found that the optimal DMLS process parameters for fabricating plastic injection molds with better mechanical properties and gas permeability are layer thickness of 30 μm, hatching space of 141 μm, scanning speed of 220 mm/s, and laser power of 50 W. The most important DMLS process parameter affecting the mechanical properties and gas permeability is the layer thickness, followed by the hatching space. The gas venting mechanism for molds fabricated by DMLS has been demonstrated.

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References

  1. Urbanic RJ, Saqib SM (2019) A manufacturing cost analysis framework to evaluate machining and fused filament fabrication additive manufacturing approaches. Int J Adv Manuf Technol 102(9–12):3091–3108

    Google Scholar 

  2. Chong L, Ramakrishna S, Singh S (2018) A review of digital manufacturing-based hybrid additive manufacturing processes. Int J Adv Manuf Technol 95(5–8):2281–2300

    Google Scholar 

  3. Leal R, Barreiros FM, Alves L, Romeiro F, Vasco JC, Santos M, Marto C (2017) Additive manufacturing tooling for the automotive industry. Int J Adv Manuf Technol 92(5–8):1671–1676

    Google Scholar 

  4. Thomas D (2016) Costs, benefits, and adoption of additive manufacturing: a supply chain perspective. Int J Adv Manuf Technol 85(5–8):1857–1876

    Google Scholar 

  5. Khadilkar A, Wang J, Rai R (2019) Deep learning–based stress prediction for bottom-up SLA 3D printing process. Int J Adv Manuf Technol 102:2555–2569

    Google Scholar 

  6. Volpato N, Zanotto TT (2019) Analysis of deposition sequence in tool-path optimization for low-cost material extrusion additive manufacturing. Int J Adv Manuf Technol 101:1855–1863

    Google Scholar 

  7. Lee YS, Nandwana P, Zhang W (2018) Dynamic simulation of powder packing structure for powder bed additive manufacturing. Int J Adv Manuf Technol 96:1507–1520

    Google Scholar 

  8. Snelling DA, Williams CB, Suchicital CTA et al (2017) Binder jetting advanced ceramics for metal-ceramic composite structures. Int J Adv Manuf Technol 92:531–545

    Google Scholar 

  9. Liuabc Z, Chena H (2020) Deformation mechanism and failure-tolerant characteristics of polymer-coated sheet metal laminates subjected to different loading conditions. J Mater Res Technol 9(3):3907–3923

    Google Scholar 

  10. Akbari M, Kovacevic R (2019) Closed loop control of melt pool width in robotized laser powder–directed energy deposition process. Int J Adv Manuf Technol 104:2887–2898

    Google Scholar 

  11. Malekipour E, El-Mounayri H (2018) Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review. Int J Adv Manuf Technol 95:527–550

    Google Scholar 

  12. Yamamoto S, Azuma H, Suzuki S et al (2019) Melting and solidification behavior of Ti-6Al-4V powder during selective laser melting. Int J Adv Manuf Technol 103:4433–4442

    Google Scholar 

  13. Ren C, Lo Y, Tran H et al (2019) Emissivity calibration method for pyrometer measurement of melting pool temperature in selective laser melting of stainless steel 316 L. Int J Adv Manuf Technol 105:637–649

    Google Scholar 

  14. Han Q, Jiao Y (2019) Effect of heat treatment and laser surface remelting on AlSi10Mg alloy fabricated by selective laser melting. Int J Adv Manuf Technol 102:3315–3324

    Google Scholar 

  15. Kalentics N, Burn A, Cloots M et al (2019) 3D laser shock peening as a way to improve geometrical accuracy in selective laser melting. Int J Adv Manuf Technol 101:1247–1254

    Google Scholar 

  16. Colopi M, Demir AG, Caprio L et al (2019) Limits and solutions in processing pure Cu via selective laser melting using a high-power single-mode fiber laser. Int J Adv Manuf Technol 104:2473–2486

    Google Scholar 

  17. Jhabvala J, Boillat E, André C et al (2012) An innovative method to build support structures with a pulsed laser in the selective laser melting process. Int J Adv Manuf Technol 59:137–142

    Google Scholar 

  18. Tran H, Lo Y (2019) Systematic approach for determining optimal processing parameters to produce parts with high density in selective laser melting process. Int J Adv Manuf Technol 105:4443–4460

    Google Scholar 

  19. Lo Y, Liu B, Tran H (2019) Optimized hatch space selection in double-scanning track selective laser melting process. Int J Adv Manuf Technol 105:2989–3006

    Google Scholar 

  20. Zhou X, Dai N, Chu M et al (2020) X-ray CT analysis of the influence of process on defect in Ti-6Al-4V parts produced with Selective Laser Melting technology. Int J Adv Manuf Technol 106:3–14

    Google Scholar 

  21. Qi B, Liu Y, Shi W et al (2019) Research on forming characteristic of pulsed selective laser melting. Int J Adv Manuf Technol 103:4109–4121

    Google Scholar 

  22. Promoppatum P, Yao S (2019) Analytical evaluation of defect generation for selective laser melting of metals. Int J Adv Manuf Technol 103:1185–1198

    Google Scholar 

  23. Cao L (2019) Study on the numerical simulation of laying powder for the selective laser melting process. Int J Adv Manuf Technol 105:2253–2269

    Google Scholar 

  24. Mugwagwa L, Dimitrov D, Matope S et al (2019) Evaluation of the impact of scanning strategies on residual stresses in selective laser melting. Int J Adv Manuf Technol 102:2441–2450

    Google Scholar 

  25. Subbiah R, Bensingh J, Kader A et al (2020) Influence of printing parameters on structures, mechanical properties and surface characterization of aluminium alloy manufactured using selective laser melting. Int J Adv Manuf Technol 106:5137–5147

    Google Scholar 

  26. Tonelli L, Liverani E, Valli G et al (2020) Effects of powders and process parameters on density and hardness of A357 aluminum alloy fabricated by selective laser melting. Int J Adv Manuf Technol 106:371–383

    Google Scholar 

  27. Mahmoud D, Elbestawi MA (2019) Selective laser melting of porosity graded lattice structures for bone implants. Int J Adv Manuf Technol 100:2915–2927

    Google Scholar 

  28. Teng X, Zhang G, Zhao Y et al (2019) Study on magnetic abrasive finishing of AlSi10Mg alloy prepared by selective laser melting. Int J Adv Manuf Technol 105:2513–2521

    Google Scholar 

  29. Sibisi PN, Popoola API, Arthur NKK et al (2020) Review on direct metal laser deposition manufacturing technology for the Ti-6Al-4V alloy. Int J Adv Manuf Technol 107:1163–1178

    Google Scholar 

  30. Zhang H, Zhu L, Xue P (2020) Laser direct metal deposition of variable width thin-walled structures in Inconel 718 alloy by coaxial powder feeding. Int J Adv Manuf Technol 108:821–840

    Google Scholar 

  31. Limon-Romero J, Tlapa D, Baez-Lopez Y, Maldonado-Macias A, Rivera-Cadavid L (2016) Application of the Taguchi method to improve a medical device cutting process. Int J Adv Manuf Technol 87(9–12):3569–3577

    Google Scholar 

  32. Choi SG, Kim SH, Choi WK, Lee ES (2016) The optimum condition selection of electrochemical polishing and surface analysis of the stainless steel 316L by the Taguchi method. Int J Adv Manuf Technol 82(9–12):1933–1939

    Google Scholar 

  33. Effertz PS, Quintino L, Infante V (2017) The optimization of process parameters for friction spot welded 7050-T76 aluminium alloy using a Taguchi orthogonal array. Int J Adv Manuf Technol 91(9–12):3683–3695

    Google Scholar 

  34. Pinar AM, Filiz S, Ünlü BS (2016) A comparison of cooling methods in the pocket milling of AA5083-H36 alloy via Taguchi method. Int J Adv Manuf Technol 83(9–12):1431–1440

    Google Scholar 

  35. Gong G, Chen JC, Guo G (2017) Enhancing tensile strength of injection molded fiber reinforced composites using the Taguchi-based six sigma approach. Int J Adv Manuf Technol 91(9–12):3385–3393

    Google Scholar 

  36. Zhou M, Kong L, Xie L, Fu T, Jiang G, Feng Q (2017) Design and optimization of non-circular mortar nozzles using finite volume method and Taguchi method. Int J Adv Manuf Technol 90(9–12):3543–3553

    Google Scholar 

  37. Azadeh A, Gharibdousti MS, Firoozi M, Baseri M, Alishahi M, Salehi V (2016) Selection of optimum maintenance policy using an integrated multi-criteria Taguchi modeling approach by considering resilience engineering. Int J Adv Manuf Technol 84(5–8):1067–1079

    Google Scholar 

  38. Costa DMD, Paula TI, Silva PAP, Paiva AP (2016) Normal boundary intersection method based on principal components and Taguchi’s signal-to-noise ratio applied to the multiobjective optimization of 12L14 free machining steel turning process. Int J Adv Manuf Technol 87(1–4):825–834

    Google Scholar 

  39. Yao Y, Zhu H, Huang C et al (2019) Investigation on chip formation and surface integrity in micro end milling of maraging steel. Int J Adv Manuf Technol 102:1973–1984

    Google Scholar 

  40. Shen S, Li B, Guo W (2020) Experimental study on grinding-induced residual stress in C-250 maraging steel. Int J Adv Manuf Technol 106:953–967

    Google Scholar 

  41. Kuo C, Jiang Z (2019) Numerical and experimental investigations of a conformally cooled maraging steel injection molding tool fabricated by direct metal printing. Int J Adv Manuf Technol 104:4169–4181

    Google Scholar 

  42. Kuo C, Jiang Z, Yang X et al (2020) Characterization of a direct metal printed injection mold with different conformal cooling channels. Int J Adv Manuf Technol 107:1223–1238. https://doi.org/10.1007/s00170-020-05114-2

    Article  Google Scholar 

  43. Mutua J, Nakata S, Onda T, Chen Z-C (2018) Optimization of selective laser melting parameters and influence of post heat treatment on microstructure and mechanical properties of maraging steel. Mater Des 139:486–497

    Google Scholar 

  44. Sufiiarov VS, Popovich AA, Borisov EV, Polozov IA, Masaylo DV, Orlov AV (2017) The effect of layer thickness at selective laser melting. Procedia Eng 174:126–134

    Google Scholar 

  45. Yadroitsev I, Bertrand P, Smurov I (2007) Parametric analysis of the selective laser melting process. Appl Surf Sci 253(19):8064–8069

    Google Scholar 

  46. Hu Z, Zhu H, Zhang H, Zeng X (2017) Experimental investigation on selective laser melting of 17-4PH stainless steel. Opt Laser Technol 87:17–25

    Google Scholar 

  47. Ling Z, Wu J, Wang X et al (2019) Experimental study on the variance of mechanical properties of polyamide 6 during multi-layer sintering process in selective laser sintering. Int J Adv Manuf Technol 101:1227–1234

    Google Scholar 

  48. Konstantinou I, Vosniakos G (2018) Rough-cut fast numerical investigation of temperature fields in selective laser sintering/melting. Int J Adv Manuf Technol 99:29–36

    Google Scholar 

  49. Fayed EM, Elmesalamy AS, Sobih M et al (2018) Characterization of direct selective laser sintering of alumina. Int J Adv Manuf Technol 94:2333–2341

    Google Scholar 

  50. Demir AG, Previtali B (2017) Investigation of remelting and preheating in SLM of 18Ni300 maraging steel as corrective and preventive measures for porosity reduction. Int J Adv Manuf Technol 93:2697–2709

    Google Scholar 

  51. Ahn I (2019) Determination of a process window with consideration of effective layer thickness in SLM process. Int J Adv Manuf Technol 105:4181–4191

    Google Scholar 

  52. Zhang H, Xu W, Xu Y et al (2018) The thermal-mechanical behavior of WTaMoNb high-entropy alloy via selective laser melting (SLM): experiment and simulation. Int J Adv Manuf Technol 96:461–474

    Google Scholar 

  53. Liu Y, Yang Y, Wang D (2016) A study on the residual stress during selective laser melting (SLM) of metallic powder. Int J Adv Manuf Technol 87:647–656

    Google Scholar 

  54. Khorasani AM, Gibson I, Ghaderi A et al (2019) Investigation on the effect of heat treatment and process parameters on the tensile behaviour of SLM Ti-6Al-4 V parts. Int J Adv Manuf Technol 101:3183–3197

    Google Scholar 

  55. Liverani E, Lutey AHA, Ascari A et al (2020) The effects of hot isostatic pressing (HIP) and solubilization heat treatment on the density, mechanical properties, and microstructure of austenitic stainless steel parts produced by selective laser melting (SLM). Int J Adv Manuf Technol 107:109–122

    Google Scholar 

  56. Zhang D, Cai Q, Liu J et al (2013) Microstructural evolvement and formation of selective laser melting W–Ni–Cu composite powder. Int J Adv Manuf Technol 67:2233–2242

    Google Scholar 

  57. Li R, Liu J, Shi Y, Wang L, Jiang W (2012) Balling behavior of stainless steel and nickel powder during selective laser melting process. Int J Adv Manuf Technol 59(9-12):1025–1035

    Google Scholar 

  58. Sun S, Zheng L, Liu Y, Liu J, Zhang H (2015) Selective laser melting of Al-Fe-V-Si heat-resistant aluminum alloy powder: modeling and experiments. Int J Adv Manuf Technol 80(9-12):1787–1797

    Google Scholar 

  59. Zhang G, Chen C, Wang X, Wang P, Zhang X, Gan X, Zhou K (2018) Additive manufacturing of fine-structured copper alloy by selective laser melting of pre-alloyed Cu-15Ni-8Sn powder. Int J Adv Manuf Technol 96(9-12):4223–4230

    Google Scholar 

  60. Criales LE, Arısoy YM, Özel T (2016) Sensitivity analysis of material and process parameters in finite element modeling of selective laser melting of Inconel 625. Int J Adv Manuf Technol 86:2653–2666

    Google Scholar 

  61. Song C, Yang Y, Wang Y et al (2014) Research on rapid manufacturing of CoCrMo alloy femoral component based on selective laser melting. Int J Adv Manuf Technol 75:445–453

    Google Scholar 

  62. Wei H, Hussain G, Iqbal A et al (2019) Surface roughness as the function of friction indicator and an important parameters-combination having controlling influence on the roughness: recent results in incremental forming. Int J Adv Manuf Technol 101:2533–2545

    Google Scholar 

  63. Saad MS, Nor AM, Baharudin ME et al (2019) Optimization of surface roughness in FDM 3D printer using response surface methodology, particle swarm optimization, and symbiotic organism search algorithms. Int J Adv Manuf Technol 105:5121–5137

    Google Scholar 

  64. Su H, Yang C, Gao S et al (2019) A predictive model on surface roughness during internal traverse grinding of small holes. Int J Adv Manuf Technol 103:2069–2077

    Google Scholar 

  65. Jin SY, Pramanik A, Basak AK et al (2020) Burr formation and its treatments—a review. Int J Adv Manuf Technol 107:2189–2210

    Google Scholar 

  66. Munhoz MR, Dias LG, Breganon R et al (2020) Analysis of the surface roughness obtained by the abrasive flow machining process using an abrasive paste with oiticica oil. Int J Adv Manuf Technol 106:5061–5070

    Google Scholar 

  67. Dong G, Marleau-Finley J, Zhao YF (2019) Investigation of electrochemical post-processing procedure for Ti-6Al-4V lattice structure manufactured by direct metal laser sintering (DMLS). Int J Adv Manuf Technol 104:3401–3417

    Google Scholar 

  68. Tyagi P, Goulet T, Riso C et al (2019) Reducing surface roughness by chemical polishing of additively manufactured 3D printed 316 stainless steel components. Int J Adv Manuf Technol 100:2895–2900

    Google Scholar 

  69. Yung KC, Zhang SS, Duan L et al (2019) Laser polishing of additive manufactured tool steel components using pulsed or continuous-wave lasers. Int J Adv Manuf Technol 105:425–440

    Google Scholar 

  70. Nagalingam AP, Yeo SH (2018) Effects of ambient pressure and fluid temperature in ultrasonic cavitation machining. Int J Adv Manuf Technol 98:2883–2894

    Google Scholar 

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Acknowledgments

The skillful technical assistance in mold designing by Ding-Yang Xu of Ming Chi University of Technology is highly appreciated.

Funding

This study received financial support by the Ministry of Science and Technology of Taiwan under contract nos. MOST 107-2221-E-131-018, MOST 106-2221-E-131-010, MOST 106-2221-E-131-011, and MOST 105-2221-E-131-012.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City, Taiwan

    Chil-Chyuan Kuo

  2. Research Center for Intelligent Medical Devices, Ming Chi University of Technology, New Taipei City, Taiwan

    Chil-Chyuan Kuo

  3. Department of Industrial Design, Ming Chi University of Technology, No. 84, Gungjuan Road, New Taipei City, 243, Taiwan

    Xin-Yi Yang

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  1. Chil-Chyuan Kuo
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  2. Xin-Yi Yang
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Correspondence to Chil-Chyuan Kuo.

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Kuo, CC., Yang, XY. Optimization of direct metal printing process parameters for plastic injection mold with both gas permeability and mechanical properties using design of experiments approach. Int J Adv Manuf Technol 109, 1219–1235 (2020). https://doi.org/10.1007/s00170-020-05724-w

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  • DOI: https://doi.org/10.1007/s00170-020-05724-w

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