Experimental and statistical investigations of surface roughness, vibration, and energy consumption values of titanium alloy during machining using response surface method and grey relational analysis

被引：4
|
作者：
Akkus, H. [1 ]
机构：
[1] Nigde Omer Halisdemir Univ, Nigde Vocat Sch Tech Sci, Automot Technol Program, POB 51200, Nigde, Turkey
来源：
SCIENTIA IRANICA | 2022年 / 29卷 / 01期
关键词：
Ti; 6Al-4V; Ra; Vibration; Energy consumption; RSM; Grey relational analysis; MATERIAL REMOVAL RATE; CUTTING PARAMETERS; TURNING PROCESS; OPTIMIZATION; PREDICTION; STEEL; TI-6AL-4V; ANN;
D O I：
10.24200/sci.2021.57548.5296
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This study aims to investigate the consistency between the results obtained from the turning operation. To this end, Ti 6Al-4V alloy workpiece was machined using CNC lathe. In addition, surface roughness (Ra), vibration, and energy consumption values were determined through turning. Experimental results were then analyzed statistically. Response Surface Method (RSM) and grey relational analysis were employed for statistical analysis. According to RSM analysis, grey relational analysis, and ANOVA and regression analysis, the feed rate was found the most effective parameter that negatively affects surface roughness, energy consumption, and vibration. Finally, the steps involved in conducting grey relational analysis and the process of obtaining the results were examined. (C) 2022 Sharif University of Technology. All rights reserved.
引用
收藏
页码：109 / 119
页数：11
相关论文
共 50 条
12345