This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Statistical Method for Tires-Compound Quality Improvement
Technical Paper
2003-01-2831
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The present paper aims at considering the problems connected with design of experiments in investigation of the product quality factors of rubber compound for automobile tires. More precisely, it deals with application of mathematical models describing quality factors influencing the formation of such a compound; finding optimal answers to the requirements of the standardized rubber compound for automobile tires and so forth. The mathematical modeling and optimization is done on a given design of experiment and experimental data. Methodologically is used mainly the regression analysis.
The appointed approaches for optimization in the paper give opportunity for forming of one or other compound with quality conforming to standards. That methodology can be applied in the analysis of other types of industries and products, as well.
Authors
Citation
Novakova, G. and Brun, A., "Statistical Method for Tires-Compound Quality Improvement," SAE Technical Paper 2003-01-2831, 2003, https://doi.org/10.4271/2003-01-2831.Also In
References
- Draper, N. Smith H. 1981 “Applied Regression Analysis“ Second Edition John Wiley & Sons New York
- Deringer G. Suich R. 1980 “Simultaneous Optimization of Several Response Variables,” Journal of Quality Technology 124 214 219
- Fedorov, V. 1972 “Theory of Optimal Experiments” Academic Press New York
- Kume, H. 1985 “Statistical Methods for Quality Improvemen”t AOTS Tokyo
- Myers, R. Montgomery 1995 “Response Surface Methodology. Process and Product Optimization Using Designed Experiments” Wiley New York