Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization

Structural and Multidisciplinary Optimization

Volumn 52, Issue 4, 2015, Pages 635-644

  Leite, M ^a   Silva, A ^a   Henriques, E ^a   A Madeira, J F ^a,b  

^a Instituto Superior Tecnico Institute for Mechanical Engineering   (Portugal)

^b INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

Author keywords

Automotive case study; Direct search; Materials selection; Multi objective optimization; Multiple parts

Indexed keywords

OPTIMAL SYSTEMS; OPTIMIZATION; PRODUCT DESIGN; PRODUCT DEVELOPMENT;

ALTERNATIVE MATERIALS; AUTOMOTIVE CASE STUDY; DIRECT SEARCH; DISCRETE DESIGN VARIABLES; MATERIALS SELECTION; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTIPLE PARTS; OPTIMIZATION PROCEDURES;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84943365061     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-015-1247-7     Document Type: Article

References (32)

1. ArcelorMittal (2015) ArcelorMittal automotive steel solutions. http://goo.gl/N0nmXi
2. Ashby MF (2000) Multi-objective optimization in material design and selection. Acta Mater 48(1):359–369
3. Ashby MF (2005) Materials selection in mechanical design. MRS Bull 30:995
4. Bar-On I, Kirchain R, Roth R (2002) Technical cost analysis for pem fuel cells. J Power Sources 109(1):71–75
5. Custodio AL, Madeira JFA, Vaz AIF, Vicente LN (2011) Direct multisearch for multiobjective optimization. SIAM J Optim 21(3):1109–1140
6. Dewhurst P, Boothroyd G (1988) Early cost estimating in product design. J Manuf Syst 7(3):183–191
7. Elgh F, Cederfeldt M (2008) Cost-based producibility assessment: Analysis and synthesis approaches through design automation. J Eng Des 19(2):113–130
8. Ermolaeva NS, Castro MB, Kandachar PV (2004) Materials selection for an automotive structure by integrating structural optimization with environmental impact assessment. Mater Des 25(8):689– 698
9. Esawi AMK, Ashby MF (2003) Cost estimates to guide pre-selection of processes. Mater Des 24(8):605–616
10. Field F, Kirchain R, Roth R (2007) Process cost modeling: Strategic engineering and economic evaluation of materials technologies. JOM 59(10):21–32
11. Fixson SK (2005) Product architecture assessment: A tool to link product, process, and supply chain design decisions. J Oper Manag 23(3-4, Special Issue: Coordinating product design, process design, and supply chain design decisions):345–369
12. Fuchs ERH, Bruce EJ, Ram RJ, Kirchain RE (2006) Process-based cost modeling of photonics manufacture: The cost competitiveness of monolithic integration of a 1550-nm dfb laser and an electroabsorptive modulator on an inp platform. J Lightwave Technol 24(8):3175
13. Fuchs ERH, Field FR, Roth R, Kirchain RE (2008) Strategic materials selection in the automobile body: Economic opportunities for polymer composite design. Compos Sci Technol 68(9):1989–2002
14. ASM Handbook (1997) Materials selection and design, Ed. Dieter, EG ASM. Materials Park 998:OI-I
15. Johnson M, Kirchain R (2009) Quantifying the effects of parts consolidation and development costs on material selection decisions: A process-based costing approach. Int J Prod Econ 119(1):174–186
16. Kirchain RE (2001) Cost modeling of materials and manufacturing processes. Elsevier, Oxford, pp 1718–1727
17. Leite M (2015) Data for this paper. https://sites.google.com/site/smo2015dmsandms/
18. Leite M (2012) Techno economic evaluation in materials selection for multiple parts under oem-tier relations. Ph.D. thesis, Instituto Superior Técnico - Universidade Técnica de Lisboa. http://goo.gl/xqqj0w
19. Leite M, Silva A, Henriques E (2014) On the influence of material selection decisions on second order cost factors, chap. 4. Springer, London, pp 59–79
20. Luo A (2002) Magnesium: Current and potential automotive applications. JOM 54(2):42–48
21. Miettinen K (1999) Nonlinear multiobjective optimization. Kluwer Academic Publishers, Boston
22. Newnes LB, Mileham AR, Cheung WM, Marsh R, Lanham JD, Saravi ME, Bradbery RW (2008) Predicting the whole-life cost of a product at the conceptual design stage. J Eng Des 19(2):99–112
23. Niazi A, Dai JS, Balabani S, Seneviratne L (2006) Product cost estimation: Technique classification and methodology review. J Manuf Sci Eng 128(2):563–575
24. Olson GB (1997) Computational design of hierarchically structured materials. Science 277(5330):1237–1242
25. Rao SS (1996) Engineering optimization: Theory and practice. Wiley
26. Roth R, Clark J, Kelkar A (2001) Automobile bodies: Can aluminum be an economical alternative to steel JOM 53(8):28–32
27. Sapuan S (2001) A knowledge-based system for materials selection in mechanical engineering design. Mater Des 22(8):687–695
28. Schubel PJ (2010) Technical cost modelling for a generic 45-m wind turbine blade producedby vacuum infusion (vi). Renew Energy 35(1):183–189
29. Schubel PJ (2012) Cost modelling in polymer composite applications: Case study analysis of existing and automated manufacturing processes for a large wind turbine blade. Compos B Eng 43(3):953–960
30. ThyseenKrupp (2015) ThyseenKrupp automotive steel. http://goo.gl/VRfmb0
31. Weck OLde, Jones MB (2006) Isoperformance: Analysis and design of complex systems with desired outcomes. Syst Eng 9(1):45–61
32. Zhou CC, Yin GF, Hu XB (2009) Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach. Mater Des 30(4):1209–1215