Model-based cost estimates for selecting a die casting process

References

• Bai, Y. and Zhao, H. (2010) Tensile properties and fracture behavior of partial squeeze added slow shot die-cast A356 aluminum alloy. Materials & Design, 31(9), 4237–4243.
   Google Scholar
• Burapa, R., Janudom, S., Chucheep, T., Canyook, R. and Wannasin, J. (2010) Effects of primary phase morphology on mechanical properties of Al-Si-Mg-Fe alloy in semi-solid slurry casting process. Transactions of Nonferrous Metals Society of China, 20(Suppl. 3), s857–s861.
   Google Scholar
• Carlsson, B.T. (2009) Selecting material for the exterior panel of a private car back door by adopting a total cost accounting approach. Materials & Design, 30(3), 826–832.
   Google Scholar
• Cavalieri, S., Maccarrone, P. and Pinto, R. (2004) Parametric vs. neural network models for the estimation of production costs: a case study in the automotive industry. International Journal of Production Economics, 91(2), 165–177.
   Google Scholar
• Esawi, A.M.K. and Ashby, M.F. (2003) Cost estimates to guide pre-selection of processes. Materials & Design, 24(8), 605–616.
   Google Scholar
• Field, F.R., Kirchain, R.E. and Roth, R. (2007) Process cost modeling: strategic engineering and economic evaluation of materials technologies. Journal of the Minerals, Metals and Materials Society, 59(10), 21–32.
   Google Scholar
• Flemings, M.C. (1974) Solidification processing. McGraw-Hill, Inc., New York.
   Google Scholar
• Fuchs, E.R.H., Bruce, E.J., Ram, R.J. and Kirchain, R.E. (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. Journal of Lightwave Technology, 24(8), 3175–3186.
   Google Scholar
• Fuchs, E.R.H., Field, F.R., Roth, R. and Kirchain, R.E. (2008) Strategic materials selection in the automobile body: economic opportunities for polymer composite design. Composites Science and Technology, 68(9), 1989–2002.
   Google Scholar
• Hangai, Y. and Kitahara, S. (2009) Quantitative evaluation of porosity in aluminum alloy die castings by fractal analysis of spatial distribution of area. Materials & Design, 30(4), 1169–1173.
   Google Scholar
• Jiang, J., Wang, Y., Chen, G., Liu, J., Li, Y. and Luo, S. (2012) Comparison of mechanical properties and microstructure of AZ91D alloy motorcycle wheels formed by die casting and double control forming. Materials & Design, 40, 541–549.
   Google Scholar
• Johnson, M.D. (2004) A methodology for determining engineering costs: their effects on the development of product families. Boston, MA: Massachusetts Institute of Technology.
   Google Scholar
• Johnson, M.D. and Kirchain, R.E. (2009a) Quantifying the effects of parts consolidation and development costs on material selection decisions: a process-based costing approach. International Journal of Production Economics, 119(1), 174–186.
   Google Scholar
• Johnson, M.D. and Kirchain, R.E. (2009b) Quantifying the effects of product family decisions on material selection: a process-based costing approach. International Journal of Production Economics, 120(2), 653–668.
   Google Scholar
• Maine, E.M.A. and Ashby, M.F. (2002) Applying the investment methodology for materials (IMM) to aluminium foams. Materials & Design, 23(3), 307–319.
   Google Scholar
• MortezaNia, S. and Othman, F. (2012) Cost analysis of pipes for application in sewage systems. Materials & Design, 33, 356–361.
   Google Scholar
• Nadeau, M.-C., Kar, A., Roth, R. and Kirchain, R.E. (2010) A dynamic process-based cost modeling approach to understand learning effects in manufacturing. International Journal of Production Economics, 128(1), 223–234.
   Google Scholar
• Qian, L. and Ben-Arieh, D. (2008) Parametric cost estimation based on activity-based costing: a case study for design and development of rotational parts. International Journal of Production Economics, 113(2), 805–818.
   Google Scholar
• Song, W.Q., Beggs, P. and Easton, M. (2009) Compressive strain-rate sensitivity of magnesium–aluminum die casting alloys. Materials & Design, 30(3), 642–648.
   Google Scholar
• Suthummanon, S., Ratanamanee, W., Boonyanuwat, N. and Saritprit, P. (2011) Applying activity-based costing (ABC) to a parawood furniture factory. The Engineering Economist, 56(1), 80–93.
   Google Scholar
• Wannasin, J., Canyook, R., Burapa, R., Sikong, L. and Flemings, M.C. (2008) Evaluation of solid fraction in a rheocast aluminum die casting alloy by a rapid quenching method. Scripta Materialia, 59(10), 1091–1094.
   Google Scholar
• Wannasin, J., Janudom, S., Rattanochaikul, T., Canyook, R., Burapa, R., Chucheep, T., & Thanabumrungkul, S. (2010) Research and development of gas induced semi-solid process for industrial applications. Transactions of Nonferrous Metals Society of China, 20 (Suppl. 3), s1010–s1015.
   Google Scholar
• Wannasin, J., Martinez, R.A. and Flemings, M.C. (2006) A novel technique to produce metal slurries for semi-solid metal processing. Solid State Phenomena, 116–117, 366–369.
   Google Scholar
• Wannasin, J. and Thanabumrungkul, S. (2008) Development of a semi-solid metal processing technique for aluminium casting applications. Songklanakarin Journal of Science and Technology, 30(2), 215–220.
   Google Scholar
• Ye, J., Zhang, B. and Qi, H. (2009) Cost estimates to guide manufacturing of composite waved beam. Materials & Design, 30(3), 452–458.
   Google Scholar