电火花加工
田口方法
材料科学
机械加工
镁合金
表面粗糙度
过程变量
响应面法
实验设计
金属基复合材料
碳化物
延展性(地球科学)
机械工程
冶金
镁
过程(计算)
复合材料
合金
工程类
计算机科学
统计
数学
蠕动
机器学习
操作系统
作者
Hemanta Doley,Santosh Kumar Tamang,Sutanu Samanta
出处
期刊:Journal of Production Engineering
[Faculty of Technical Sciences]
日期:2017-12-01
卷期号:20 (2): 25-33
被引量:2
标识
DOI:10.24867/jpe-2017-02-025
摘要
Magnesium and its alloys reinforced with nano-size reinforcements have attracted the interest of the researchers because of its high strength to weight ratio, high damping capacity and displays improved mechanical property without affecting the ductility.The light weight nature of this structural material makes them a right choice to be used in the automobile and aerospace sector where weight reduction is a primary concern.This work determines optimum process parameters such as pulse on time, pulse off time, peak current, servo voltage and volume of silicon carbide (SiC p ) percentage which influence the wire electro discharge machining (WEDM) process during machining of AZ31B magnesium alloy based metal matrix nano-composite (MMNC) using combined methods of response surface methodology (RSM) and Taguchi-GRA-PCA hybrid method.Taguchi L27 experimental design is used in the experimental investigation, and a predictive model is developed to identify the optimum process parameters in the micro EDM process, which influence two main machining criterions such as surface roughness (SR) and material removal rate (MRR).Further analysis of variance (ANOVA) is carried out to determine the adequacy of the model and to identify which parameters has most influence on the responses.The proposed method can be used to select optimal process parameters from various sets of combinations of process parameters in a WEDM process.
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