Sensitivity analysis for process parameters influencing electric arc cutting

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• 作者：Xiaojie Tian (1)
  Yonghong Liu (2)
  Wei Deng (3)
  Guijie Liu (1)
  
  1. College of Engineering ; Ocean University of China ; Qingdao ; 266110 ; China
  2. College of Mechanical and Electrical Engineering ; China University of Petroleum ; Qingdao ; 266580 ; China
  3. Unit 63981 ; PLA ; Wuhan ; 430311 ; China
  
• 关键词：Arc cutting ; Sensitivity analysis ; Mathematical modeling ; PDS
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：78
• 期：1-4
• 页码：481-492
• 全文大小：2,607 KB
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• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

Electric arc cutting process parameters play a very significant role in determining the cutting effect. Sensitivity analysis can be utilized to identify the process parameters exerting the most influence on the cutting effect and to know the parameters that must be most carefully controlled. Experiment data analysis and finite element method are both introduced to carry out sensitivity analysis based on the response surface methodology. Changeable process parameters such as workpiece thickness, cutting current, and electrode diameter are used as design variables. Cutting hole geometry in experiment part is considered as the response, while the response for PDS is the simulation temperature value by finite element method. The results of two methods both show that a change in process parameters affects the cutting characteristics. The arc cutting process is most sensitive to the cutting current, less sensitive to electrode diameter, and least sensitive to workpiece thickness. It also reveals that experiment data analysis obtains the detail numerical results, and PDS gives an intuitive analysis result without much trial and error.