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A Dynamic Information Transfer and Feedback Model for Reuse-oriented Redesign of Used Mechanical Equipment

Authors: Han Wang; Zhigang Jiang; Hua Zhang; Yan Wang;

A Dynamic Information Transfer and Feedback Model for Reuse-oriented Redesign of Used Mechanical Equipment

Abstract

Abstract The intricate coupling relationship among the used parts make the reuse-oriented redesign process very complex, leading to the incompatible optimization between the used parts and used mechanical equipment. To this end, a dynamic information transfer and feedback method is proposed. In this method, the structure coupling model is established to characterize the relationship of parts. Remanufacturing cost, energy consumption and material consumption are taken as the redesign objectives. In accordance with these objectives and its constraints, a dynamic information transfer and feedback model (DITF) is adopted to achieve collaborative optimization between used mechanical equipment and used parts. An adaptive Teaching-Learning-Based Optimization (A-TLBO) algorithm is used to solve this model. Finally, a case in point is that a used machine tool (model C6132) is adopted to validate feasibility and effectiveness of the proposed method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
gold