The present study is focused on the development of environmental friendly composite friction materials and compared with available commercial friction materials. Copper (Cu) will be replaced with different reinforcement materials to reduce pollution. The microstructure, surface roughness, elemental distribution, porosity have been observed. The variation of wear and friction have been analysed for the developed friction material with different running conditions. Taguchi orthogonal array method has been utilized for reducing the number of experiments and getting near-optimal test parameters for the best tribological performance. The grey relation analysis method has been used to determine the optimum set of parameters by the multi-objective optimization into a single-objective optimization.
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Taschenbuch. Condición: Neu. Advanced Composite Materials: Key Development Factors | Experimental and Statistical Investigations on Composite Friction Materials | Santosh Kumar | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207652730 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 130936367
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The present study is focused on the development of environmental friendly composite friction materials and compared with available commercial friction materials. Copper (Cu) will be replaced with different reinforcement materials to reduce pollution. The microstructure, surface roughness, elemental distribution, porosity have been observed. The variation of wear and friction have been analysed for the developed friction material with different running conditions. Taguchi orthogonal array method has been utilized for reducing the number of experiments and getting near-optimal test parameters for the best tribological performance. The grey relation analysis method has been used to determine the optimum set of parameters by the multi-objective optimization into a single-objective optimization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch. Nº de ref. del artículo: 9786207652730
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