A Computational Framework for Integrated Process Design of High Performance Parts

  1. Mei Li,
  2. Carelyn Campbell,
  3. Katsuyo Thornton,
  4. Elizabeth Holm and
  5. Peter Gumbsch
  1. Kuldeep Agarwal1 and
  2. Rajiv Shivpuri2

Published Online: 12 JUL 2013

DOI: 10.1002/9781118767061.ch22

2 World Congress on Integrated Computational Materials Engineering

2 World Congress on Integrated Computational Materials Engineering

How to Cite

Agarwal, K. and Shivpuri, R. (2013) A Computational Framework for Integrated Process Design of High Performance Parts, in 2 World Congress on Integrated Computational Materials Engineering (eds M. Li, C. Campbell, K. Thornton, E. Holm and P. Gumbsch), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118767061.ch22

Author Information

  1. 1

    Department of Automotive and Manufacturing Engineering Technology, Minnesota State University Mankato, 205 Trafton Center East, Mankato, MN 56001

  2. 2

    Integrated Systems Engineering, The Ohio State University, 210 Baker Systems, 1971 Neil Avenue, Columbus, OH 43210

Publication History

  1. Published Online: 12 JUL 2013
  2. Published Print: 21 JUN 2013

ISBN Information

Print ISBN: 9781118766897

Online ISBN: 9781118767061

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Keywords:

  • Design;
  • Process;
  • Anomaly;
  • Forging

Summary

This chapter contains sections titled:

  • Introduction

  • Bayesian Hierarchical Decomposition of the Failure Risk

  • Failure of the Titanium Rotor Disk due to Hard Alpha Anomaly

  • Computational Model for Embedded Inhomogenieties in Titanium Matrix

  • Estimating the Processing Dependent Failure Risk

  • Conclusions and Acknowledgement