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• W2904546876 abstract "Abstract Collaborative manufacturing requiring both geometric and physical evaluations has been an increasingly important trend in the industrial applications of spiral bevel gears. It is an innovative attempt that design for six sigma (DFSS) is introduced to establish a model of above collaborative manufacturing system. In the DFSS-based modeling, in addition to establishing the basic framework, the related data-driven decision and optimization are proposed, respectively. The house of quality (HOQ) is firstly established to convert the voice of customer (VOC) into the critical to qualities (CTQs) and determine the geometric and physical evaluations. Then, the conventional machine setting modification is extended to the multi-objective optimization (MOO) modification considering both geometric and physical evaluations. The whole system is divided into the three data-driven sub-problems for their respective decision and optimization. First, the accurate measurement and compensation is used to operate the noise factors in the actual manufacturing. Second, a prescribed ease-off topography is identified as the target flank by MOO of the physical evaluations. An improved high-order modification of the optimal machine setting is performed to optimize the geometric performance. A case of study on measurement-modification-machining (3 M) collaborative manufacturing system is provided to verify the proposed model." @default.
• W2904546876 created "2018-12-22" @default.
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• W2904546876 date "2019-03-01" @default.
• W2904546876 modified "2023-10-17" @default.
• W2904546876 title "A novel collaborative manufacturing model requiring both geometric and physical evaluations of spiral bevel gears by design for six sigma" @default.
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• W2904546876 doi "https://doi.org/10.1016/j.mechmachtheory.2018.10.022" @default.
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