Parameters Optimization and Experimental Analysis in High Speed Machining

2012 ◽  
Vol 591-593 ◽  
pp. 480-483
Author(s):  
Huan Lin ◽  
Dong Qiang Gao ◽  
Zhong Yan Li ◽  
Jiang Miao Yi
Keyword(s):  
Genetic Algorithm ◽  
High Speed ◽  
Production Efficiency ◽  
Cutting Parameters ◽  
Processing Parameters ◽  
Parameters Optimization ◽  
High Speed Machining ◽  
Before And After ◽  
Processing Parameters Optimization ◽  
Cutting Parameters Optimization

First of all, in the cutting parameters optimization, according to the different processing conditions, optimization variables selection is different, including production efficiency the objective function and the constraint conditions of the machine tool. And then using genetic algorithm to build a high-speed processing parameters optimization model. The mathematical model explores the best solution through the software Matlab, and gets the optimal combination between the parameters of each cutting; high speed machining cutting parameters provides the reference for the choice of the user. Through the optimization of the comparison of the before and after that, using genetic algorithm cutting parameters optimization, mach inability got obvious improvement, in order to ensure the quality of processing also achieve the maximization of the production efficiency.

Design Parameters Optimization of Cutting Head of Cantilever Roadheader Based on Genetic Algorithm

2012 ◽  
Vol 215-216 ◽  
pp. 193-196 ◽  
Author(s):  
Gang Liu ◽  
De Sen Mu ◽  
Shi Xi Duan ◽  
De Chao Song
Keyword(s):  
Genetic Algorithm ◽  
Kinetic Parameters ◽  
Optimization Design ◽  
Production Efficiency ◽  
Rock Strength ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Design Parameters ◽  
Cutting Head ◽  
Cutting Parameters Optimization

For hard rocks whose protodyakonov scale of hardness f are greater than 8, research on the optimization design of cutting head of cantilever roadheader. Optimization model of the cutting head was established, in this model, the objective function was established based on dust mount, energy consumption and production efficiency. The design variables contain cutting head structural and kinetic parameters, the constraints are determined in accordance with working condition and practical experience. Cutting head parameters are optimized with parameters change related to rock strength, using genetic algorithm in Matlab7.0. A variety of cutting parameters optimization results related to rock strength are of great significance for the structural design of the cutting head and selection of kinetic parameters.

Fuzzy Comprehensive Evaluation of Aluminum Alloy 7475 High-Speed Milling Parameter Optimization

2011 ◽  
Vol 188 ◽  
pp. 272-276
Author(s):  
Ai Qin Lin ◽  
Min Li Zheng ◽  
Yan Gu ◽  
C.G. Fan
Keyword(s):  
Aluminum Alloy ◽  
High Speed ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Removal Rate ◽  
Fuzzy Comprehensive Evaluation ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
High Speed Milling ◽  
Cutting Parameters Optimization

High-speed cutting is a complexity and uncertainty process .The cutting parameters optimization is ambiguous. In this paper, based on the orthogonal experiment of high-speed milling aluminum alloy 7475, we use fuzzy comprehensive evaluation to optimize the parameters high-speed milling of aluminum alloy 7475 in the indication of surface roughness, cutting force, material removal rate. We have got cutting parameters optimal that is highly processing quality and productivity. Compared optimal results with orthogonal experimental results, we found that the optimal result is reliable. The study shows that fuzzy comprehensive evaluation method can optimize the parameters of high-speed milling of aluminum alloy 7475 accurately. This method has also a good application effect to other materials and great significance to guide actual production.

Cutting Parameters Optimization of the Matching of Lengthened Shrink-Fit Holder and Cutter in High Speed Milling

2011 ◽  
Vol 188 ◽  
pp. 622-628
Author(s):  
Hou Ming Zhou ◽  
Cheng Yong Wang ◽  
Jian Xin Deng ◽  
Y.X. Song
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Optimization Problem ◽  
Fuzzy Optimization ◽  
Optimization Theory ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
High Speed Milling ◽  
Shrink Fit ◽  
Cutting Parameters Optimization

Taking the machining efficiency and surface quality as the optimization objective, a multi-objective and multi-constrained optimization model of the high-speed milling parameters based on the matching of lengthened shrink-fit holder (LSFH) and cutter was established using fuzzy optimization theory. In this model, the contact performance, grip rigidity and dynamic characteristics of the matching of LSFH and cutter were taken into account. Subsequently, the optimization problem of the fuzzy domain was transformed into the optimization problem of the ordinary domain using the Optimal Level Cut Set Method. The optimization results show that the processing time reduced by 5.95% and 8.54%, the surface roughness decreased by 5.42% and 6.85% compared to conventional optimization model and the parameters recommended by the tool manual respectively. The effectiveness and practicality of this optimization method was further proved by processing examples.

Cutting Parameters Optimization of Thin-Walled Workpiece Based on Deflection Control

2009 ◽  
Vol 407-408 ◽  
pp. 448-451
Author(s):  
Wei Fang Chen ◽  
Jiu Hua Xu ◽  
Zheng Hua Shen ◽  
Hua Chen
Keyword(s):  
Genetic Algorithm ◽  
Finite Element Method ◽  
Finite Element ◽  
Iterative Method ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Parameters Optimization ◽  
Prototype System ◽  
Thin Walled ◽  
Cutting Parameters Optimization

Thin-walled workpiece is prone to produce deformation in the process of machining because of cutting and clamping forces. In this paper, a model of cutting parameters optimization is proposed to control the deflection. The influence of deflection on nominal milling depth is taken into account and the machining deflection is computed by iterative method. Based on the optimization model, a prototype system is developed to optimize the cutting parameters for a thin-walled workpiece with the genetic algorithm and finite element method. Finally, a simulation example is used to demonstrate the feasibility of the cutting parameters optimization method. The simulation result can be further employed into practical machining situation.

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