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Title: Predictive Model and Methodology for Heat Treatment Distortion Final Report CRADA No. TC-298-92

Abstract

This project was a multi-lab, multi-partner CRADA involving LLNL, Los Alamos National Laboratory, Sandia National Laboratories, Oak Ridge National Laboratory, Martin Marietta Energy Systems and the industrial partner, The National Center of Manufacturing Sciences (NCMS). A number of member companies of NCMS participated including General Motors Corporation, Ford Motor Company, The Torrington Company, Gear Research, the Illinois Institute of Technology Research Institute, and Deformation Control Technology •. LLNL was the lead laboratory for metrology technology used for validation of the computational tool/methodology. LLNL was also the lead laboratory for the development of the software user interface , for the computational tool. This report focuses on the participation of LLNL and NCMS. The purpose of the project was to develop a computational tool/methodology that engineers would use to predict the effects of heat treatment on the _size and shape of industrial parts made of quench hardenable alloys. Initially, the target application of the tool was gears for automotive power trains.

Authors:
 [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1406441
Report Number(s):
LLNL-TR-740339
DOE Contract Number:
AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE

Citation Formats

Nikkel, D. J., and McCabe, J.. Predictive Model and Methodology for Heat Treatment Distortion Final Report CRADA No. TC-298-92. United States: N. p., 2017. Web. doi:10.2172/1406441.
Nikkel, D. J., & McCabe, J.. Predictive Model and Methodology for Heat Treatment Distortion Final Report CRADA No. TC-298-92. United States. doi:10.2172/1406441.
Nikkel, D. J., and McCabe, J.. 2017. "Predictive Model and Methodology for Heat Treatment Distortion Final Report CRADA No. TC-298-92". United States. doi:10.2172/1406441. https://www.osti.gov/servlets/purl/1406441.
@article{osti_1406441,
title = {Predictive Model and Methodology for Heat Treatment Distortion Final Report CRADA No. TC-298-92},
author = {Nikkel, D. J. and McCabe, J.},
abstractNote = {This project was a multi-lab, multi-partner CRADA involving LLNL, Los Alamos National Laboratory, Sandia National Laboratories, Oak Ridge National Laboratory, Martin Marietta Energy Systems and the industrial partner, The National Center of Manufacturing Sciences (NCMS). A number of member companies of NCMS participated including General Motors Corporation, Ford Motor Company, The Torrington Company, Gear Research, the Illinois Institute of Technology Research Institute, and Deformation Control Technology •. LLNL was the lead laboratory for metrology technology used for validation of the computational tool/methodology. LLNL was also the lead laboratory for the development of the software user interface , for the computational tool. This report focuses on the participation of LLNL and NCMS. The purpose of the project was to develop a computational tool/methodology that engineers would use to predict the effects of heat treatment on the _size and shape of industrial parts made of quench hardenable alloys. Initially, the target application of the tool was gears for automotive power trains.},
doi = {10.2172/1406441},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month =
}

Technical Report:

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