Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels

  1. Mei Li,
  2. Carelyn Campbell,
  3. Katsuyo Thornton,
  4. Elizabeth Holm and
  5. Peter Gumbsch
  1. P.D Deshpande1,
  2. B. P. Gautham1,
  3. A. Cecen2,
  4. S. Kalidindi4,
  5. A. Agrawal3 and
  6. A. Choudhary3

Published Online: 12 JUL 2013

DOI: 10.1002/9781118767061.ch25

2 World Congress on Integrated Computational Materials Engineering

2 World Congress on Integrated Computational Materials Engineering

How to Cite

Deshpande, P.D., Gautham, B. P., Cecen, A., Kalidindi, S., Agrawal, A. and Choudhary, A. (2013) Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels, 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.ch25

Author Information

  1. 1

    Tata Research Development and Design Centre, Tata Consultancy Services; 54B Hadapsar Industrial Estate; Pune, Maharashtra, 411013, India

  2. 2

    Drexel University; Mechanical Engineering & Mechanics; Philadelphia, PA 19104, USA

  3. 3

    Northwestern University; Dept. of Electrical Engineering and Computer Science; Evanston, IL 60208, USA

  4. 4

    Georgia Institute of Technology; Woodruff School of Mechanical Engineering; Atlanta, GA, USA

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:

  • Material Informatics;
  • Regression Analysis;
  • Processing-Property Linkages;
  • Artificial Neural Networks

Summary

This chapter contains sections titled:

  • Introduction

  • Correlating Steel Properties to Composition and Manufacturing Processes

  • Data Pre-Processing and Application of Regression Techniques

  • Summary of Our Collective Findings and Future Work