2016
DOI: 10.1016/j.compstruc.2015.11.013
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Numerical optimization of wear performance – Utilizing a metamodel based friction law

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Cited by 14 publications
(7 citation statements)
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“…Many studies showed that [1][2][3][4][5][6][7][8] thermal field, arcing, and electrical discharge influent the wear rate of the brush surface, and the proportion of electrical wear ranges from 1/2 to 2/3 of the total wear of the brushes. According to many studies [9][10][11][12]. The third body in tribology and numerical wear optimization is a new demonstrated method.…”
Section: Introductionmentioning
confidence: 99%
“…Many studies showed that [1][2][3][4][5][6][7][8] thermal field, arcing, and electrical discharge influent the wear rate of the brush surface, and the proportion of electrical wear ranges from 1/2 to 2/3 of the total wear of the brushes. According to many studies [9][10][11][12]. The third body in tribology and numerical wear optimization is a new demonstrated method.…”
Section: Introductionmentioning
confidence: 99%
“…The best results are achieved when it is used in conjunction with structural optimization methods [13]. FEA plays an important role in multi-objective optimization of tyre characteristics, such as manoeuvrability [14][15][16], endurance [15,17], rolling resistance [14], wear [18,19] or riding comfort [17].…”
Section: Introductionmentioning
confidence: 99%
“…[13,14], may be performed, and also serve as the means for virtual experimentation in the structural optimization process, e.g. [15,16]. In FEA of tires, structural reinforcements may be modeled using a number of different methodologies, where two approaches generally prevail: modeling based on composite materials theory [17] and separate modeling of the rubber matrix and cords using "rebar" elements [18] (Figure 1).…”
Section: Introductionmentioning
confidence: 99%