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.

A Study of Cutting Parameters Optimization in High-Speed Milling GH4169 with TiAlN Coated Carbide Tool

2012 ◽  
Vol 628 ◽  
pp. 144-149
Author(s):  
Wei Wei Liu ◽  
Yuan Yu ◽  
Feng Li ◽  
Chang Feng Yao ◽  
Bin Liu
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
High Speed ◽  
Optimal Parameter ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
High Speed Milling ◽  
Cutting Parameters Optimization ◽  
Coated Carbide

The orthogonal experiment is processed for high-speed milling superalloy GH4169 with TiAlN coated carbide inserts. The surface roughness prediction model based on cutting parameters is established by using the least-squares regression method. And the effect of cutting parameters on surface roughness is studied. According to the prediction model of surface roughness, a model of cutting parameters optimization by using genetic algorithm based on annealing penalty function is established for maximum material removal rate under specified surface roughness values. Obtain the optimal parameter combination when the surface roughness Ra≤0.2µm, and the experimental validation is done. These results provide the basis for improving processing efficiency of processing GH4169 and choosing parameters under specified constraint conditions.

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.

Fuzzy Comprehensive Evaluation of Cutting Parameters when Milling Plane Features of Aeroengine Structure Parts

2011 ◽  
Vol 117-119 ◽  
pp. 539-544
Author(s):  
Song Tao Wang ◽  
Zhe Li ◽  
Min Li Zheng ◽  
Yi Hang Fan
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Cutting Parameters ◽  
Processing Parameters ◽  
Parameters Optimization ◽  
Processing Efficiency ◽  
Full Account ◽  
Milling Parameters ◽  
Orthogonal Optimization ◽  
Cutting Parameters Optimization

Because of the variety of processing methods, broad range and uncertainty of processing parameters when machining aeroengine structure parts, the method of fuzzy orthogonal optimization was used to optimize milling parameters in the light of machining efficiency in machining plane characteristics of aeroengine structure parts. According to analyzing the effects of milling parameters on processing efficiency, the optimized parameters were obtained. The results showed that the established fuzzy orthogonal optimization model can take full account of the uncertainty in the process of cutting parameters optimization. Excellent experimental agreement was achieved in cutting parameters calculated by the established model. The established model has good practicality and high precision. It is easy to understand and can be used to guide the actual production.

Cutting Parameters Optimization of High-Speed Milling of Thin-Walled Graphite Electrode

2006 ◽  
Vol 315-316 ◽  
pp. 319-323 ◽  
Author(s):  
Z.L. Hu ◽  
Cheng Yong Wang ◽  
L. Zhou ◽  
H. Fu ◽  
J. Chen
Keyword(s):  
High Speed ◽  
Graphite Electrode ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Main Process ◽  
Cutting Depth ◽  
High Speed Milling ◽  
Radial Depth ◽  
Thin Walled ◽  
Cutting Parameters Optimization

Graphite electrode material has been extensively used for thin-walled electrode manufacturing, due to its typical brittleness, HSM becomes the main process method to obtain higher productivity and good surface finish. According to the structure characteristics of the thin-walled graphite electrode and the problems arising in its high-speed milling, through high-speed milling experiments, researches have been done into the effect of the main cutting parameters on cutting forces, which include cutting speed, feed per tooth, radial cutting depth, axial cutting depth, down or up milling. Finally, cutting parameters optimization strategies of high-speed milling of thin-walled graphite electrode aiming to obtain higher efficiency and high quality are presented as follows: down-cut mode, moderate radial depth of cut and flat endmill should be adopted in high-speed milling of graphite electrode.

Stability Prediction during Thin-Walled Workpiece High-Speed Milling

2009 ◽  
Vol 69-70 ◽  
pp. 428-432 ◽  
Author(s):  
Qing Hua Song ◽  
Yi Wan ◽  
Shui Qing Yu ◽  
Xing Ai ◽  
J.Y. Pang
Keyword(s):  
High Speed ◽  
Dynamic Properties ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Milling Process ◽  
Machining Process ◽  
High Speed Milling ◽  
Thin Walled ◽  
Optimization Of Cutting Parameters ◽  
Free Material

A method for predicting the stability of thin-walled workpiece milling process is described. The proposed approach takes into account the dynamic characteristics of workpiece changing with tool positions. A dedicated thin-walled workpiece representative of a typical industrial application is designed and modeled by finite element method (FEM). The workpiece frequency response function (FRF) depending on tool positions is obtained. A specific 3D stability chart (SC) for different spindle speeds and different tool positions is then elaborated by scanning the dynamic properties of workpiece along the machined direction throughout the machining process. The dynamic optimization of cutting parameters for increasing the chatter free material removal rate and surface finish is presented through considering the chatter vibration and forced vibration. The investigations are compared and verified by high speed milling experiments with flexible workpiece.

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