Issue 1
Jan.  2022
Turn off MathJax
Article Contents
Article Navigation >  Manufacturing Technology & Machine Tool  > 2022  >  (1): 119-123
CONG Zheng, CAO Yan, HE Zhihao, CHU Zhiguo. Mechanical and thermal coupling simulation analysis and dual-objective parameter optimization of TC11 titanium alloy[J]. Manufacturing Technology & Machine Tool, 2022, (1): 119-123. doi: 10.19287/j.cnki.1005-2402.2022.01.022
Citation: CONG Zheng, CAO Yan, HE Zhihao, CHU Zhiguo. Mechanical and thermal coupling simulation analysis and dual-objective parameter optimization of TC11 titanium alloy[J]. Manufacturing Technology & Machine Tool, 2022, (1): 119-123. doi: 10.19287/j.cnki.1005-2402.2022.01.022
shu

Mechanical and thermal coupling simulation analysis and dual-objective parameter optimization of TC11 titanium alloy

doi: 10.19287/j.cnki.1005-2402.2022.01.022
  • ①.

    School of Mechatronic Engineering, Xi′an Technological University, Xi′an 710021, CHN

  • ②.

    Shaanxi Aerospace Sino-Meiling Electric Co., Ltd., Xi′an 710025, CHN

Funds:

 2020GY-147

  • Received Date: 2021-05-17
    Available Online: 2022-03-07
    Abstract
  • Aiming at the difficult machining problem of a certain type of space disk parts made of TC11 titanium alloy, ABAQUS simulation software was used. Based on the actual cutting parameters, the cutting force, heat distribution law and the interaction of cutting parameters during the turning process were analyzed. First, a single factor experiment was used to explore the law of cutting force and heat distribution. Secondly, the orthogonal experiment method is used to study the cutting force and heat distribution law under the interaction, and to fit the multiple linear regression model of the cutting force and heat. Finally, the regression model is optimized with two goals. The experimental results show that the order of the effect of cutting amount on cutting force is: depth of cut>feed>cutting speed, and the order of influence on cutting temperature is feed>cutting speed>depth of cut. The regression model is highly fitting test, and the algorithm optimization can effectively optimize the cutting parameters and reduce the cutting force and cutting heat.

     

    • FullText(HTML)
  • loading
    • References(13)
  • [1]
    刘鹏, 徐九华, 傅玉灿. 聚晶金刚石刀具高速铣削钛合金切削温度分析[J]. 哈尔滨工业大学学报, 2011, 43(11): 95-100. https://www.cnki.com.cn/Article/CJFDTOTAL-HEBX201111021.htm
    [2]
    韩甲栋. 钛合金TC11车削已加工表面质量试验研究[D]. 哈尔滨: 哈尔滨理工大学, 2017.
    [3]
    刘二亮, 韩甲栋, 赵立国, 等. 钛合金TC11车削中已加工表面质量试验研究[J]. 工具技术, 2017, 51(9): 22-26. https://www.cnki.com.cn/Article/CJFDTOTAL-GJJS201709008.htm
    [4]
    杨蕾, 史耀耀, 杨巧凤, 等. 钛合金TC11铣削力分析与建模[J]. 制造技术与机床, 2007(1): 35-37. https://www.cnki.com.cn/Article/CJFDTOTAL-ZJYC200701015.htm
    [5]
    曹岩. ABAQUS6.14中文版有限元分析与实例详解[M]. 北京: 清华大学出版社. 2018
    [6]
    Chen M, Niu Q L, An Q L, et al. Johnson-cook constitutive equation for titanium alloy TC11[J]. Key Engineering Materials, 2013, 589-590: 140-146. doi: 10.4028/www.scientific.net/KEM.589-590.140
    [7]
    路冬, 黄红福, 吴勇波, 等. 基于ALE方法的钛合金超声振动车削仿真[J]. 振动与冲击, 2013, 32(15): 59-62, 70. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201315013.htm
    [8]
    王哲, 李磊, 沈雪红. GH4169高温合金切削仿真分析及工艺参数优化[J]. 工具技术, 2020, 54(1): 59-62. https://www.cnki.com.cn/Article/CJFDTOTAL-GJJS202001012.htm
    [9]
    林勇传, 韦珏宇, 黄健友, 等. RuT400切削力预测模型及参数优化[J]. 机械设计与制造, 2018(7): 59-62. https://www.cnki.com.cn/Article/CJFDTOTAL-JSYZ201807017.htm
    [10]
    Hou J Z, Zhou W, Duan H J, et al. Influence of cutting speed on cutting force, flank temperature, and tool wear in end milling of Ti-6Al-4V alloy[J]. The International Journal of Advanced Manufacturing Technology, 2014, 70(9-12): 1835-1845.
    [11]
    牛赢, 焦锋, 赵波, 等. 基于NSGA-Ⅱ的钛合金纵扭超声铣削多目标参数优化[J]. 振动与冲击, 2020, 39(21): 241-249. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202021033.htm
    [12]
    Ahmed S U, Arora R. Quality characteristics optimization in CNC end milling of A36 K02600 using Taguchi's approach coupled with artificial neural network and genetic algorithm[J]. International Journal of System Assurance Engineering and Management, 2019, 10(4): 676-695. doi: 10.1007/s13198-019-00796-8
    [13]
    蒲新明. 镍基高温合金切削加工的物理仿真及工艺参数优化[D]. 成都: 西南石油大学, 2016.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(8)  / Tables(11)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (77) PDF downloads(56) Cited by()
    Proportional views
    Related
    订阅号
    服务号
    微店

    Copyright © 2018 《 Manufacturing Technology & Machine Tool》

    Address: No.4 Wangjing Road, Chaoyang District, BeijingTel: 010-64739683/79Email: edit@jcs.gt.cn

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return