Prediction of tool wear and tool life by experiment/modeling/simulation of the die compaction process

Wei Li, Peter J. Blau, Jun Qu, Seong Jin Park, Youssef Hammi, Randall M. German

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Prediction of tool life caused by tool wear is of great importance during die compaction processes in the powder metallurgy industry. In this study, experiment, modeling, and simulation are integrated to predict tool wear and life of the die. We utilized a specially-modified, "pin-onflat" reciprocating test to quantify the amount of tool wear with a matrix of experiments consisting of three tool materials and two mixture powders. The modified "loop test" is also employed to provide comparison results. We propose the new model of "wear work" by integration of frictional stress multiplied by velocity with respect to contact area and time. By combining wear data with information on the hardness of the die materials, we can predict tool wear and life. For complex components, the finite element simulation is used to calculate the wear work and to select critical factor with sensitivity analysis concept.

Original languageEnglish
Title of host publicationAdvances in Powder Metallurgy and Particulate Materials - 2008, Proceedings of the 2008 World Congress on Powder Metallurgy and Particulate Materials, PowderMet 2008
Pages164-177
Number of pages14
StatePublished - 2008
Event2008 World Congress on Powder Metallurgy and Particulate Materials, PowderMet 2008 - Washington, DC, United States
Duration: Jun 8 2008Jun 12 2008

Publication series

NameAdvances in Powder Metallurgy and Particulate Materials - 2008, Proceedings of the 2008 World Congress on Powder Metallurgy and Particulate Materials, PowderMet 2008

Conference

Conference2008 World Congress on Powder Metallurgy and Particulate Materials, PowderMet 2008
Country/TerritoryUnited States
CityWashington, DC
Period06/8/0806/12/08

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