Research on Automatic Transmission Assembly Module Division based on the Clustering Algorithm
The automatic transmission,which could achieve the function of shifting and changing speeds,was a key component for transmitting power in the vehicle system.Due to the narrow and complex structure and the large number of parts,the assembly complexity of automatic transmissions was greatly increased.Module division was a key step in product modularization design,which could divide the entire system into several modules with high cohesion and low coupling,thereby reduced the difficulty of product assembly.The fuzzy C-means clustering algorithm(FCM)was a traditional meth-od to realize module division,but it was sensitive to initial values and easily converged to local extremum points.The com-bination of FCM and optimization algorithms was beneficial for avoiding falling into local optimal solutions.Therefore,the FCM based on the genetic simulated annealing algorithm was proposed to conduct assembly module division to obtain the optimal division scheme for the automatic transmission module.We took the automatic transmission of Chongqing Tiema Transmission Co.,Ltd.for example,the proposed method was used to divide the assembly module,and the results of the obtained module division were compared with the actual program,which proved the accuracy and effectiveness of the meth-od.
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