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Titolo:
Friction material design for brake pads using database
Autore:
Kato, T; Soutome, H;
Indirizzi:
AIST, QMME Special Grp, Mech Engn Lab, Ibaraki, Osaka, Japan AIST IbarakiOsaka Japan ecial Grp, Mech Engn Lab, Ibaraki, Osaka, Japan Univ Tokyo, Tokyo, Japan Univ Tokyo Tokyo JapanUniv Tokyo, Tokyo, Japan
Titolo Testata:
TRIBOLOGY TRANSACTIONS
fascicolo: 1, volume: 44, anno: 2001,
pagine: 137 - 141
SICI:
1040-2004(200101)44:1<137:FMDFBP>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
WEAR;
Keywords:
automotive tribology; brakes; tribology database; expert system; statistical analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Kato, T AIST, QMME Special Grp, Mech Engn Lab, Ibaraki, Osaka, Japan AISTIbaraki Osaka Japan p, Mech Engn Lab, Ibaraki, Osaka, Japan
Citazione:
T. Kato e H. Soutome, "Friction material design for brake pads using database", TRIBOL T, 44(1), 2001, pp. 137-141

Abstract

Stochastic methods were used for the analysis of test data related to the design of brake pad compositions. The friction and wear test data were analyzed by MRA (Multiple Regression Analysis) and the effect of %volume of thecomponents on the friction and wear characteristics was obtained quantitatively in the form of the standard regression coefficients. The analytical results concerning the effects on component materials on friction and wear characteristics correspond well to the knowledge we have gained though experiences. It was also found that the standard regression coefficients, particularly those for the wear are sensitive to the experimental conditions. This finding corresponds to the lower reproducibility of the results of the wear test. The data were then used to design the composition of brake pads. Optimization was conducted using a GA (Genetic Algorithm). The predicted friction data of the designed brake pads agreed well with the test data. The calculation time is about 1/700 of that by an alternative random search method.

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Documento generato il 15/07/20 alle ore 21:26:25