Modeling for Powder Metallurgy Component Design and Performance Prediction

Hammi, Y., Stone, T.W., Arias-Meza, L., Allison, P., & Horstemeyer, M. (2008). Modeling for Powder Metallurgy Component Design and Performance Prediction. MPIF/APMI 2008 World Congress on Powder Metallurgy & Particulate Materia. Gaylord National Hotel, Washington, DC. 1-96 –1-1.

Abstract

In this paper, math-based models for Powder Metallurgy (P/M) component design and performance prediction are developed and experimentally validated. An existing math-based framework is extended with the abilities to capture the material history and predict P/M component structures and properties accurately throughout the compaction and sintering processes. The input of alloys and process parameters such as machine functions, friction and pressure are also considered. In addition, design optimization of and statistical techniques are used to consider least cost, lowest mass product designs and reduced development lead-time, and to help determine the main factors affecting the final component. Finally, the model is used to evaluate and optimize the component design of a main bearing cap as affected by materials and compaction and sintering processes.