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. Copyright © 2003 SAE International.
Statistical Method for Tires-Compound Quality Improvement
BRUN, ALESSANDRO;
2003-01-01
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. Copyright © 2003 SAE International.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
