Chip load-responsive optimization of micro-milling of engineering materials

被引：4
|
作者：
Pansare, V. B. [1 ]
Sharma, S. B. [2 ]
机构：
[1] Govt Engn Coll Aurangabad, Aurangabad, Maharashtra, India
[2] SGGSE & T, Aurangabad, Maharashtra, India
来源：
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING | 2016年 / 38卷 / 07期
关键词：
High-speed machining; Micro-milling; Chip load; ACO; Surface roughness; DESIGN OPTIMIZATION; CUTTING PARAMETERS; OPERATIONS; TOOL;
D O I：
10.1007/s40430-015-0399-0
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The miniaturization of machine component is perceived by many as requirement for the future technological development of a broad spectrum of products. Micro-component fabrication requires reliable and repeatable methods, with accurate analysis tools. Surface roughness is one of the most important parameter in machining process. This study presents the results of test done with high-speed face milling tool. Also this research discusses an experimental approach to the development of mathematical model for surface roughness prediction before milling process by using ant colony optimization algorithm. This mathematical model is validated by optimization of cutting parameters for minimum surface roughness.
引用
收藏
页码：2063 / 2068
页数：6
相关论文
共 50 条
  • [21] Experimental investigation of porous metal materials in high-speed micro-milling process
    Liu, Zhiqiang
    Han, Jingjing
    Su, Yu
    An, QingLong
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2018, 232 (14) : 2488 - 2498
  • [22] Optimal tool design in micro-milling of difficult-to-machine materials
    O'Toole, Lorcan
    Fang, Feng-Zhou
    ADVANCES IN MANUFACTURING, 2023, 11 (02) : 222 - 247
  • [23] Research on optimization of micro-milling process for curved thin wall structure
    Gao, Xikun
    Cheng, Xiang
    Ling, Siying
    Zheng, Guangming
    Li, Yang
    Liu, Huanbao
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2022, 73 : 296 - 312
  • [24] Sustainable optimization of micro-milling machining parameters considering reliability assessment
    Ding, Pengfei
    Huang, Xianzhen
    MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2025, 53 (02) : 864 - 901
  • [25] Optimal tool design in micro-milling of difficult-to-machine materials
    Lorcan O’Toole
    Feng-Zhou Fang
    Advances in Manufacturing, 2023, 11 : 222 - 247
  • [26] Parametric Analysis and Optimization on Fiber Laser Micro-Milling on AZ31 Magnesium Alloy
    Kibria, Golam
    Aktar, Manjur
    Sekh, Mukandar
    Haque, Rafiqul
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2024, 23 (04) : 941 - 968
  • [27] Optimization of superalloy Inconel 718 micro-milling process by combined Taguchi and multi-criteria decision making method
    Sredanovic, Branislav
    Cica, Djordje
    Borojevic, Stevo
    Tesic, Sasa
    Kramar, Davorin
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (07)
  • [28] Mechanism of material removal and chip formation of alumina dispersion strengthened copper in micro-milling
    Liu, Chang
    Wu, Chunya
    Li, Xiguang
    Hou, Bo
    Wu, Jiahao
    Sun, Ruijiang
    Chen, Mingjun
    FRONTIERS OF MECHANICAL ENGINEERING, 2025, 20 (01)
  • [29] Cutting parameters optimization for MRR under the constraints of surface roughness and cutter breakage in micro-milling process
    Xiaohong Lu
    Haixing Zhang
    Zhenyuan Jia
    Yixuan Feng
    Steven Y. Liang
    Journal of Mechanical Science and Technology, 2018, 32 : 3379 - 3388
  • [30] Cutting parameters optimization for MRR under the constraints of surface roughness and cutter breakage in micro-milling process
    Lu, Xiaohong
    Zhang, Haixing
    Jia, Zhenyuan
    Feng, Yixuan
    Liang, Steven Y.
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2018, 32 (07) : 3379 - 3388
12345