Dissertation > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Process design > Process analysis , process route

Optimization Study on the Processing Parameters Based on the Cutting Dynamic Model

Author MaChao
Tutor DengChao
School Huazhong University of Science and Technology
Course Mechanical Engineering
Keywords process parameters optimizations cutting dynamics GA PSO
CLC TH162.1
Type Master's thesis
Year 2012
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To choose the correct and suitable processing parameters is very important to ensurethe product quality, decrease the costs and increase the productivity. So it has become animportant economic activity in manufacturing industry. This paper focused on processparameters optimization by taking milling as the target, the cutting dynamic is used todesign the optimization model, and the hybrid intelligent optimization algorithm is used tosolve the model.Firstly, the first part of this paper gives some analysis on the basis of domestic andforeign research status, summing up the general technologies and methods of processingparameters optimization, and put forward a model for optimizing the processingparameters with the idea of the cutting dynamics theory. In addition, to improve theoptimization model, this paper mainly analyses the surface processing quality and thestability of the machine tool based on milling dynamics, and puts forward the applicationprocess of these theories.Secondly, to solve the problem of multiple objectives and nonlinearity of theoptimization model of process parameters, the research provided a hybrid method withgenetic algorithm (GA) and particle swarm optimization (PSO) algorithm. This mixedalgorithm applied improved strategies of genetic variations to change the swarms’searching routes during the particle swarms are optimizing, and then, the crowding levelanalysing and the gaussian mutation are carried out to improve the swarms’ convergenceaccuracy, convergence rate and the ability to solve complex problems.At last, the issue takes the CNC boring and milling as an example to get the optimumparameters. The computer tool of MATLAB is used. At the end of the paper, there aresome analysis and verifications proving that the idea of using milling dynamics to solveprocess parameters optimization is correct and effective.

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