Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5899
Title: Process modeling: Use of uncertainty, sensitivity and optimization techniques for improved understanding of compaction model outputs
Authors: Stone, T. W.
Sanderow, H. I.
Grewal, H.
Acar, Erdem
Hammi, Y.
Allison, P.
Horstemeyer, M. F.
Issue Date: 2009
Source: 2009 International Conference on Powder Metallurgy and Particulate Materials, PowderMet 2009, 28 June 2009 through 1 July 2009, Las Vegas, NV, 98743
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.
URI: https://hdl.handle.net/20.500.11851/5899
ISBN: 9780981949611
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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