Prediction Model for Technological Effect in the EDM Process of NdFeB
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摘要: NdFeB材料由于高硬度、高脆性的特性,常规方法难以加工。电火花加工是加工硬脆材料的一种有效方法。为了实现高效、高质量的加工,对钕铁硼材料的电火花加工工艺规律需进行研究。本文中采用单因素实验法与正交试验法相结合进行实验设计。在大量试验的基础上,利用SPSS软件建立了电火花加工工艺模型。根据已建立的理论模型,对比回归结果与实际加工结果,验证了所建立的回归分析模型的合理性。通过设计新的实验,利用MATLAB软件预测电火花加工工艺效果,得出不同工艺参数下预测值与实际值相接近。Abstract: Generally, is difficult to machine with high hardness and brittleness. Electrical discharge machining is an effective method for NdFeB. In order to achieve high efficient and high quality, the technological rules in the EDM process of NdFeB is necessary. In this paper, the experiment planning is to combine the single factor experiment and the orthogonal experiment. The EDM process model is established by using SPSS software under a large number of experiments. the rationality of the regression model by compariing the regression results with the actual processing results is validated. By designing a new experiment, the technological effects of EDM is predicted via MATLAB software and the predicted values are close to the actual values under different process parameters.
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Key words:
- electric discharge machining /
- NdFeB /
- regression analysis model
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[1] 任升峰.烧结Nd-Fe-B永磁材料加工新技术及机理研究[D].济南:山东大学,2006 Ren S F. Study on the new machining technology and mechanism of sintered Nd-Fe-B magnet[D]. Ji'nan:Shandong University, 2006(in Chinese) [2] Kaneko Y, Kuniyoshi F, Ishigaki N. Proven technologies on high-performance Nd-Fe-B sintered magnets[J]. Journal of Alloys and Compounds, 2006,408-412:1344-1349 [3] 刘晋春,白基成,郭永丰.特种加工[M].5版.北京:机械工业出版社,2008 Liu J C, Bai J C, Guo Y F. Non-Traditional machining[M]. 5 edition. Beijing:China Machine Press, 2008(in Chinese) [4] Puertas I, Luis C J. A study on the electrical discharge machining of conductive ceramics[J]. Journal of Materials Processing Technology, 2004,153-154:1033-1038 [5] Lee S H, Li X P. Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of tungsten carbide[J]. Journal of Materials Processing Technology, 2001,115(3):344-358 [6] Srivastava V, Pandey P M. Effect of process parameters on the performance of EDM process with ultrasonic assisted cryogenically cooled electrode[J]. Journal of Manufacturing Process, 2012,14(3):393-402 [7] 楼乐明,李明辉,彭颖红.利用神经网络建立电火花加工工艺模型[J].中国机械工程,2001,12(4):408-411 Lou L M, Li M H, Peng Y H. ANN based modelling for EDM process[J]. China Mechanical Engineering, 2001,12(4):408-411(in Chinese) [8] 彭泽军,王宝瑞,陈辉.基于神经网络的电火花加工工艺选择模型研究[J].机械科学与技术,2006,25(4):394-397 Peng Z J, Wang B R, Chen H. Study of a process selection model for EDM based on neural network[J]. Mechanical Science Technology, 2006,25(4):394-397(in Chinese) [9] 李丽.烧结NdFeB永磁体材料加工方法及加工机理的研究[D].济南:山东大学,2005 Li L. Study on machining technology and mechanism of NdFeB magnetic material[D]. Ji'nan:Shandong University, 2005(in Chinese) [10] 陈永胜.多元线性回归建模以及MATLAB和SPSS求解[J].绥化学院学报,2007,27(6):166-168 Chen Y S. Modeling by multiple linear regression and solution by MATLAB and SPSS[J]. Journal of Suihua University, 2007,27(6):166-168(in Chinese) [11] 李云雁,胡传荣.实验设计与数据处理[M].北京:化学工业出版社,2008 Li Y Y, Hu C R. The experimental design and data processing[M]. Beijing:Chemical Industry Press, 2008(in Chinese) [12] Mohammadi A, Tehrani A F, Emanian E, et al. Statistical analysis of wire electrical discharge turning on material removal rate[J]. Journal of Materials Processing Technology, 2008,205(1-3):283-289 [13] Puertas I, Luis C J, Alvarez L. Analysis of the influence of EDM parameters on surface quality, MRR and EW of WC-Co[J]. Journal of Materials Processing Technology, 2004,153-154:1026-1032 [14] 楼乐明,李明辉,彭颖红.电火花加工工艺效果建模[J].上海交通大学学报,2000,34(3):299-302 Lou L M, Li M H, Peng Y H. Modeling of electrical discharge machining process[J]. Journal of Shanghai Jiaotong University, 2000,34(3):299-302(in Chinese) [15] 张志涌,杨祖樱.MATLAB教程R2010a[M].北京:北京航空航天大学出版社,2010 Zhang Z Y, Yang Z Y. MATLAB R2010a tutorial[M]. Beijing:Beihang University Press, 2010(in Chinese)
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