Process modeling: Use of uncertainty, sensitivity and optimization techniques for improved understanding of compaction model outputs

T. W. Stone, H. I. Sanderow, H. Grewal, E. Acar, Y. Hammi, P. Allison, K. Solanki, M. F. Horstemeyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Math-based models developed by the MSU/CAVS team have considered both the compaction and sintering processes. Due to the very large number of input variables for the compaction model it is helpful to understand how sensitive the model output is to small changes in these input variables in order to better apply the model to real world processes. Using numerical methods both uncertainty and sensitivity analysis can be applied to the model and the most significant terms identified. Through further numerical analysis the output of the compaction model can be optimized for one or more output parameters, e.g. least density variation, lowest mass, minimal part thickness. These techniques will be illustrated using a well-established automotive PM product, the main bearing cap.

Original languageEnglish (US)
Title of host publicationAdvances in Powder Metallurgy and Particulate Materials - 2009, Proceedings of the 2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009
Pages116-130
Number of pages15
StatePublished - Dec 1 2009
Event2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009 - Las Vegas, NV, United States
Duration: Jun 28 2009Jul 1 2009

Publication series

NameAdvances in Powder Metallurgy and Particulate Materials - 2009, Proceedings of the 2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009

Other

Other2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009
CountryUnited States
CityLas Vegas, NV
Period6/28/097/1/09

ASJC Scopus subject areas

  • Metals and Alloys
  • Surfaces and Interfaces

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    Stone, T. W., Sanderow, H. I., Grewal, H., Acar, E., Hammi, Y., Allison, P., Solanki, K., & Horstemeyer, M. F. (2009). Process modeling: Use of uncertainty, sensitivity and optimization techniques for improved understanding of compaction model outputs. In Advances in Powder Metallurgy and Particulate Materials - 2009, Proceedings of the 2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009 (pp. 116-130). (Advances in Powder Metallurgy and Particulate Materials - 2009, Proceedings of the 2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009).