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<p> <!--Query ID="Q1" Text="Please check and confirm if the authors and their respective affiliations have been correctly identified. Amend if necessary." Resolved="yes"-->The quality of the machining of the materials is depending on the input constrains of the process and its composition of different alloying elements. The outstanding material properties of gun metal are achieved by the composition of copper, tin and zinc. This paper to investigate the machining behaviors of gun metal through computer numerical control turning process with different input constrains. The response factors such as cutting force, tool tip temperature and surface roughness are evaluated by manipulate the input factors. The experimental results are compared with response surface methodology model (RSM). It is used to optimize the input and output factors. The minimized cutting force, tool tip temperature and surface roughness are 84.87&#xa0;N, 200.10&#xa0;C and 0.75 microns respectively. The surface plots are used to correlate the dependent and independent variables. The novelty of the experiment is that parametric analysis in the machining of gun metal using computer numerical control turning process. Investigate the cutting force, tool temperature and surface roughness of the gun metal and it can be recommended to rotating elements such as gears and bearings.</p>

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Parametric analysis in the machining of gun metal using computer numerical control turning process

  • 期刊论文

  • 发表日期：

    2025年2月14日

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  • R. Santhanakrishnan,
  • S. Marichamy,
  • K. Anandavelu,
  • V. Gomathy,
  • A. Thava Vinu,
  • G. Veerappan,
  • S. Ram,
  • T. Blesslin Sheeba

摘要

The quality of the machining of the materials is depending on the input constrains of the process and its composition of different alloying elements. The outstanding material properties of gun metal are achieved by the composition of copper, tin and zinc. This paper to investigate the machining behaviors of gun metal through computer numerical control turning process with different input constrains. The response factors such as cutting force, tool tip temperature and surface roughness are evaluated by manipulate the input factors. The experimental results are compared with response surface methodology model (RSM). It is used to optimize the input and output factors. The minimized cutting force, tool tip temperature and surface roughness are 84.87 N, 200.10 C and 0.75 microns respectively. The surface plots are used to correlate the dependent and independent variables. The novelty of the experiment is that parametric analysis in the machining of gun metal using computer numerical control turning process. Investigate the cutting force, tool temperature and surface roughness of the gun metal and it can be recommended to rotating elements such as gears and bearings.