2006
DOI: 10.1016/j.matdes.2005.04.005
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Sensitivity series and friction surface analysis of non-metallic friction materials

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Cited by 19 publications
(6 citation statements)
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“…Kato et al [6] developed a genetic algorithm combined with multiple regression analysis to evaluate raw materials. The wear and friction coefficient (l) sensitivity series of raw materials were obtained by relational grade analysis [7][8][9] and least-squares error [10]. However, the scientific standards for selection and evaluation of raw materials have not been established yet.…”
Section: Introductionmentioning
confidence: 99%
“…Kato et al [6] developed a genetic algorithm combined with multiple regression analysis to evaluate raw materials. The wear and friction coefficient (l) sensitivity series of raw materials were obtained by relational grade analysis [7][8][9] and least-squares error [10]. However, the scientific standards for selection and evaluation of raw materials have not been established yet.…”
Section: Introductionmentioning
confidence: 99%
“…In literature, compared to the efforts given to optimize the formulation of brake friction composite [114,[126][127][128][129][130][131], few numerical and experimental studies are dealing with the optimization of the manufacturing process of friction materials. These studies are restricted to the moulding-compression technique and organic friction materials since they are widely used.…”
Section: Manufacturing Process Optimizationmentioning
confidence: 99%
“…Meanwhile, NBR was also added as modifier in friction materials to enhance friction coefficient and dampen braking noise [16,17].…”
Section: Introductionmentioning
confidence: 99%