Determining the optimum process parameter for grinding operations using robust process

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• 作者：Süleyman Ne?eli (1)
  ?lhan Asiltürk (2)
  Levent ?elik (2)
  
• 关键词：CNC grinding ; RSM ; Taguchi design ; Surface roughness ; Vibration monitoring
• 刊名：Journal of Mechanical Science and Technology
• 出版年：2012
• 出版时间：November 2012
• 年：2012
• 卷：26
• 期：11
• 页码：3587-3595
• 全文大小：740KB
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• 作者单位：Süleyman Ne?eli (1)
  ?lhan Asiltürk (2)
  Levent ?elik (2)
  
  1. Vocational High School, University of Sel?uk, 42075, Konya, Turkey
  2. Faculty of Technology, University of Sel?uk, 42075, Konya, Turkey
  
• ISSN：1976-3824

文摘

We applied combined response surface methodology (RSM) and Taguchi methodology (TM) to determine optimum parameters for minimum surface roughness (Ra) and vibration (Vb) in external cylindrical grinding. First, an experiment was conducted in a CNC cylindrical grinding machine. The TM using L 27 orthogonal array was applied to the design of the experiment. The three input parameters were workpiece revolution, feed rate and depth of cut; the outputs were vibrations and surface roughness. Second, to minimize wheel vibration and surface roughness, two optimized models were developed using computer-aided single-objective optimization. The experimental and statistical results revealed that the most significant grinding parameter for surface roughness and vibration is workpiece revolution followed by the depth of cut. The predicted values and measured values were fairly close, which indicates (R Ra 2 =94.99 and R Vb 2 =92.73) that the developed models can be effectively used to predict surface roughness and vibration in the grinding. The established model for determination of optimal operating conditions shows that a hybrid approach can lead to success of a robust process.