skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Statistical methods in material manufacturing and evaluation

Abstract

The implementation of statistical quality and process control methods in the manufacture and the evaluation of metal alloy materials is presented. First, the evolution of modern statistical quality and process control techniques and philosophies is discussed. The use of statistical methods with nondestructive evaluation and characterization techniques, both for defect categorization and process control feedback, is also presented. Experimental work was then performed to establish the use of statistical methods for the testing, evaluation, and analysis of external supplier metal alloy material parts. Lastly, the application of this work to cyclic closed loop statistical quality and process control on an external supplier basis is discussed with respect to the highest impact on process improvement and cost reduction. Research was also conducted on internal supplier relationships but is not discussed in this paper. The results of this work show that statistical methods can be successfully applied to existing material manufacturing and evaluation processes for the improvement of quality and process control. It was also shown that statistical methods have many potential applications in the improvement of the robustness of composite and noncomposite material processes as well as in destructive and nondestructive material evaluation.

Authors:
;
Publication Date:
Research Org.:
Ford Motor Co., Dearborn, MI (US)
OSTI Identifier:
20000587
Alternate Identifier(s):
OSTI ID: 20000587
Resource Type:
Journal Article
Journal Name:
Materials Evaluation
Additional Journal Information:
Journal Volume: 57; Journal Issue: 9; Other Information: PBD: Sep 1999; Journal ID: ISSN 0025-5327
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; PROCESS CONTROL; STATISTICS; MANUFACTURING; ALLOYS; MATERIALS TESTING; QUALITY CONTROL

Citation Formats

Gianaris, N.J., and Green, R.E. Jr. Statistical methods in material manufacturing and evaluation. United States: N. p., 1999. Web.
Gianaris, N.J., & Green, R.E. Jr. Statistical methods in material manufacturing and evaluation. United States.
Gianaris, N.J., and Green, R.E. Jr. Wed . "Statistical methods in material manufacturing and evaluation". United States.
@article{osti_20000587,
title = {Statistical methods in material manufacturing and evaluation},
author = {Gianaris, N.J. and Green, R.E. Jr.},
abstractNote = {The implementation of statistical quality and process control methods in the manufacture and the evaluation of metal alloy materials is presented. First, the evolution of modern statistical quality and process control techniques and philosophies is discussed. The use of statistical methods with nondestructive evaluation and characterization techniques, both for defect categorization and process control feedback, is also presented. Experimental work was then performed to establish the use of statistical methods for the testing, evaluation, and analysis of external supplier metal alloy material parts. Lastly, the application of this work to cyclic closed loop statistical quality and process control on an external supplier basis is discussed with respect to the highest impact on process improvement and cost reduction. Research was also conducted on internal supplier relationships but is not discussed in this paper. The results of this work show that statistical methods can be successfully applied to existing material manufacturing and evaluation processes for the improvement of quality and process control. It was also shown that statistical methods have many potential applications in the improvement of the robustness of composite and noncomposite material processes as well as in destructive and nondestructive material evaluation.},
doi = {},
journal = {Materials Evaluation},
issn = {0025-5327},
number = 9,
volume = 57,
place = {United States},
year = {1999},
month = {9}
}