Abstract:In the process of recycling EOL (end of life) products, disassembly is an important stage. Moreover, there are several targets for disassembly: reuse, remanufacturing and material recycling. In order to improve the efficiency of disassembly, only the component which need to be reused or remanufactured need to be disassembled with nondestructive method. The rest components which recycled for material can be disassembled with partial destructive method. Namely, partial destructive disassembly is more practical than total disassembly within recycling process for EOL products. In this paper, the generally used partial destructive disassembly methods are analyzed. And several rules are defined for reconstructing the hybrid graph of EOL product. And then, an extended Floyd algorithm is proposed for searching optimized disassembly sequence. With this algorithm, the material properties of parts, connection properties between parts or components are taking into account. By ranking the cost of several possible disassembly path, the optimal disassembly sequence is obtained for target component. At last, a soybean milk machine is used as a study case to verify the former approach.
In order to protect environment, the end-of-life product should be disassembly and recycled. While selective disassembly method can be used to separate the valuable parts from the old product and used for reuse or remanufacturing. Usually there are several feasible disassembly sequences for operation; the optimal sequence is decided by operation cost. A fuzzy cost model is presented instead of the traditional quantitative cost model. The advantage of this method is that the detailed information of the end-of-life product is not needed and, the practical feasibility of selective disassembly is improved.
With the attention of world manufacturing paid to sustainable development, the social value of recycling and reusing waste products has been generally recognized. The disassembly and remanufacturing of waste products or parts are very important aspects. Only by improving the productivity of remanufacturing waste products can the effective recycling and reuse of waste products be guaranteed. In this study, the intelligent remanufacturing technical system is proposed by analyzing the remanufacturing process system, combined with the ideas and knowledge of intelligent manufacturing. Three aspects are demonstrated, including reverse supply chain, remanufacturing enterprise management, and the application method of artificial intelligence technology in remanufacturing equipment. The architecture and development of intelligent remanufacturing are generally demonstrated, and the issues related to intelligent remanufacturing are finally discussed.
A framework of collaborative process planning (CPP) platform is introduced. For this purpose, manufacturing resource management system should be constructed. The main modular of them are discussed, which include equipment information management, fixture information management, cutting tool information management, process parameter and NC code information management. In the end, the application of how to work on the process planning in virtual enterprise with manufacturing resource based on the CPP is introduced.
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