Search

Sheet metal forming that consists of discrete flow processes, is employed in a wide range of applications in industry. Aiming at supporting energy efficient manufacturing in sheet metal forming, an integrated framework is proposed. The framework comprises two layers, namely, operation management and data acquisition. Operation management is performed by three procedures, i.e., energy consumption modeling, energy performance evaluation, and production optimization. Through the operation management, suggestions for saving energy and improving production efficiency are proposed and implemented. Data acquisition is employed to provide useful information. Demonstration analysis in a stamping shop floor validates the feasibility of the proposed framework.

Due to the variable end-of-life timing of remanufacturing cores, the failure condition of products’ remanufacturing is uncertainty, with low efficient processes and high cost in remanufacturing procedure. With presenting the definition and content of the predecisional remanufacturing, timing matching method of decision-making in predecisional remanufacturing are proposed. Firstly, based on whole life cycle theory, considering the performance as the characteristic variable, which is influenced by the failure condition of key components, the multiple indicators of timing decision-making in remanufacturing are analysed, and the decion-maing method in predecisonal remanufacturing is proposed. Then with presenting principle of time matching, the timing matching method for the key parts is presented. Finally, with the instance of engine, the timing of predecisional remanufacturing for the key parts in engine is analysed and determined to verify the feasibility and effectiveness of the proposed method.

Since the electric vehicle battery (EVB) is wildly recycled in industry, the disassembly procedures of variable EVBs is so important that can influence the efficiency and environmental impacts in remanufacturing. To improve disassembly efficiency in EVB remanufacturing, a disassembly sequence planning method based on frame-subgroup structure is proposed in this paper. Firstly, the improved disassembly relation hybrid graph and disassembly relation matrix are proposed to identify the disassembly precedence relationship and connection relationship between the components in EVB. Secondly, the frame - subgroup structure is given, and the method for solving disassembly sequence planning with frame-subgroup structure and genetic algorithm is introduced. In this method, to simplify the series of processes such as encoding, decoding, crossover and mutation, the solution space composed of all disassembly sequences is transformed into the positive integer sequence for the disassembly efficiency in battery remanufacturing. Finally, the case study of EVB disassembly sequence planning is presented to validate the feasibility of this proposed method. Comparing with other traditional methods, the advantage and application of this proposed method are introduced.

Nowadays, the uncertainty of the remanufacturing cores increased the cost and difficulty in remanufacturing, and the mechanical and electrical products are rarely designed for remanufacturing. To solve these issues, the optimization design method based on structure similarity model is presented. With identifying the timing in predecisional remanufacturing, the design demands are presented. Since the concept of structural similarity is given, the quantitative mapping relationship between the structure parameters and its performance is analyzed. And the optimization design method for predecisional remanufacturing is given. Finally, the experiment on a typical shaft structure is given to validate the feasibility of this method.

Generally, the economic profits in product using are considered as the main factor in decision-making in remanufacturing. Since used key components are identified as the core in remanufacturing, each component and its own condition should be considered in decision-making. Thus, with mapping the relationship between product performance and its key components failure condition, a timing decision-making method in proactive remanufacturing is presented to conduct the remanufacturing with low consuming per year. Moreover, the remanufacturability of key components at the time with low consumption per year is evaluated. Finally, a diesel engine is given as an instance to validate the method.