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

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.

2011 ◽  
Vol 188 ◽  
pp. 272-276
Author(s):  
Ai Qin Lin ◽  
Min Li Zheng ◽  
Yan Gu ◽  
C.G. Fan

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.


2011 ◽  
Vol 188 ◽  
pp. 622-628
Author(s):  
Hou Ming Zhou ◽  
Cheng Yong Wang ◽  
Jian Xin Deng ◽  
Y.X. Song

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.


2016 ◽  
Vol 861 ◽  
pp. 75-83
Author(s):  
Ying Xing Xie ◽  
Cheng Yong Wang ◽  
Feng Ding ◽  
Wen Huang

In order to obtain better surface quality after high speed milling high hardness mold steel, and reduce tool wear in cutting process, prolong the service life of cutting tools, obtain superior levels and optimal combination of cutting parameters in the test range. Through the design of orthogonal experiment, the use of Taguchi method, and noise ratio analysis and variance analysis of dry cutting high hardness mould steel PM60 under different cutting parameters; and finally, the optimal cutting parameters of surface roughness and cutting force value were predicted and verified. Research showed that: the worst cutting parameters influenced the surface roughness Ra was radial depth of cut ae, its influence was highly significant, followed by spindle speed n and depth of axial cut ap; the most serious impact cutting parameter of cutting force F was the feed speed vf, followed by the spindle speed n and radial depth of cut ae; verification test showed that the optimal cutting parameters combination were reasonable and the calculation errors of the predicted values and experimental values were very small, indicating that Taguchi method in cutting parameters optimization of cutting mould steel PM60 was valid.


2012 ◽  
Vol 628 ◽  
pp. 144-149
Author(s):  
Wei Wei Liu ◽  
Yuan Yu ◽  
Feng Li ◽  
Chang Feng Yao ◽  
Bin Liu

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.


2013 ◽  
Vol 834-836 ◽  
pp. 861-865 ◽  
Author(s):  
Yong Shou Liang ◽  
Jun Xue Ren ◽  
Yuan Feng Luo ◽  
Ding Hua Zhang

An experimental study was conducted to determine cutting parameters of high-speed milling of Ti-17 according to their effects on residual stresses. First, three groups of single factor experiments were carried out to reveal the effects of cutting parameters on residual stresses. Then sensitivity models were established to evaluate the influence degrees of cutting parameters on residual stresses. After that, three criteria were proposed to determine cutting parameters from experimental parameter ranges. In the experiments, the cutting parameter ranges are recommended as [371.8, 406.8] m/min, [0.363, 0.412] mm and [0, 0.018] mm/z for cutting speed, cutting depth and feed per tooth, respectively.


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