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研究混合优化方法,以尽量减少Mg/TiC金属矩阵复合材料的加工表面粗性,使用火花EDM

Dharmeswar Dash1, Devarasiddappa Devarajaiah2, Santosh Kumar Dash1

  • 1Department of Mechanical Engineering, GKCIET, Malda, West Bengal, 732141, India.

Scientific reports
|September 29, 2025
PubMed
概括

这项研究优化了使用人工神经网络 (ANN) 和Jaya算法对Mg-TiC复合材料的电放电加工 (EDM). 混合方法实现了2.89μm的最小表面粗度 (SR),提高了加工精度.

关键词:
一个年龄,一个年龄.这是EDM,EDM是EDM.哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈在Mg/TiC复合材料中.这就是SEM SEM.在这个过程中,SR是SR.

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Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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