Research On Disassembly Sequence Planning Of Used Smart Phones Based On Module Division

As the most typical electronic waste,waste smart phones contain a variety of precious metals and some of their parts can be reused,with good recycling.Dismantling has become one of the main way of dealing with waste smartphone,in order to improve the old smartphone efficiency of dismantling and recycling profits,this paper studies the module partition method for old smartphone,and by using the modular thought and genetic algorithm for old smartphone disassembly sequence planning to do some research,in this paper,the specific work content is as follows:(1)Complete machine disassembly experiments were conducted for multiple series of smart phones of Xiaomi,Huawei and i Phone,and detailed internal parts disassembly information was obtained.Advantages and disadvantages of the structure and connection modes of the three brands as well as development trends were summarized,and structural problems existing in the current smart phone disassembly and improvement suggestions were put forward.(2)Analyze the relationship between used smart phones in functions and characteristics,connection mode,material type,recycling and other aspects.Considering the division principle of multi-dimensional waste smart phone module,the comprehensive correlation matrix is established according to the correlation sub-matrix between parts.MATLAB software was used to calculate the comprehensive correlation matrix,and modules were divided according to the comprehensive correlation coefficient.Aiming at high coupling degree within modules and low coupling degree between modules,the module division method and evaluation system are constructed.Finally,"Mi 5" smart phone is taken as an example to divide waste smart phones into modules.(3)The disassembly mixed model is established,the connection matrix and priority matrix are used to transform the disassembly mixed graph model into matrix model,and the matrix model is used to clearly describe the constraint relationship between products.A comprehensive evaluation system based on disassembly time,disassembly profit and disassembly energy consumption was established.(4)The disassembly sequence planning method of multi-population genetic algorithm was designed.The constraint relationship of the smart phone to be disassembled was described by connection matrix,priority matrix and mixed graph.The multi-objective evaluation function was established by combining disassembly time,disassembly profit and disassembly energy consumption.Taking Mi 5 smart phone as an example,multi-population genetic algorithm converges faster than traditional genetic algorithm and is not easy to fall into local solutions.Compared with serial disassembly sequence,parallel disassembly sequence can reduce disassembly time,but the cost of parallel disassembly sequence is higher,the profit of parallel disassembly sequence is0.022 yuan less than that of serial disassembly sequence,and the artificial energy consumption in the process of componentization is 1.827 J more than that of serial disassembly sequence.Different disassembly methods are selected for different products.The disassembly sequence planning of used smart phones was studied by multi-objective optimization method to improve the efficiency of dismantling used smart phones.This study provides a theoretical basis for the disassembly modeling of used smart phones,studies the module division method of used smart phones,and provides a theoretical basis for the parallel disassembly of used smart phones.