Progressive wear based tool failure analysis during dry and MQL assisted sustainable micro-milling

被引:33
|
作者
Saha, Suman [1 ]
Deb, Sankha [1 ]
Bandyopadhyay, Partha Pratim [1 ]
机构
[1] Indian Inst Technol Kharagpur, Dept Mech Engn, Kharagpur 721302, W Bengal, India
关键词
Micro-milling; Edge radius; Tool wear; Minimum Uncut Chip Thickness; Minimum Quantity Lubrication; Cutting forces; CHIP THICKNESS; FLANK WEAR; PREDICTION; MECHANISM; STRESS; MODEL; PERFORMANCE; GENERATION; ROUGHNESS; TITANIUM;
D O I
10.1016/j.ijmecsci.2021.106844
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Micro-milling tools suffer high wear rate and early edge-chipping owing to their small sizes. Mechanism of various wear modes of a coated tool with the progression of micro-milling along with the conditions for their onset was not systematically explored in literature. To understand the edge-chipping scenario with the progression of wear, a comprehensive tribological analysis is presented in this article considering the cumulative effects of process mechanics, material deformation mechanism, tool geometry, lubrication, and process parameters during micro-milling of Ti-6Al-4V using 500 mu m TiAlN-coated WC/6Co end-mills. The apparent friction coefficient at the chip-tool-workpiece interface remains very high, in the range of 0.97 - 0.84 in dry micromilling that reduces to 0.60 - 0.50 under sustainable minimum quantity lubrication (MQL). When a fresh tool is engaged, it undergoes rapid wear for initial 15 mm length of cut. Thereafter, the tool undergoes gradual nonadhesive wear for another 40 - 70 mm cut. As the edge radius increases with machining time, the corresponding minimum uncut chip thickness (hmin) also increases proportionally. When hmin exceeds 12% (for MQL) or 34% (for dry) of the set feed per flute, strong adhesion occurs at the cutting edge, and the process is dominated by the non-cutting passes. Normal stresses within the ploughing-dominant region also remain reasonably high (10 - 18 GPa). Initially the coating, and thereafter the adhered layer, helps sustaining such high normal stresses. Once the adhered layer dislodges, the exposed substrate fails to sustain high stresses leading to edge-chipping. As compared to dry micro-milling, application of MQL helps decreasing abrasion rate, assisting in chip-evacuation, discouraging adhesion, and extending the tool-life; however, the same unfavourably increases the intensity of stresses within the ploughing-dominant region making the tool-tip more vulnerable to chipping.
引用
收藏
页数:23
相关论文
共 50 条
  • [41] Online monitoring model of micro-milling force incorporating tool wear prediction process
    Ding, Pengfei
    Huang, Xianzhen
    Zhao, Chengying
    Liu, Huizhen
    Zhang, Xuewei
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 223
  • [42] Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance
    Szydlowski, Michat
    Powalka, Bartosz
    Matuszak, Marcin
    Kochmanski, Pawel
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2016, 44 : 236 - 244
  • [43] Micro-milling force modeling with tool wear and runout effect by spatial analytic geometry
    Li, Guochao
    Li, Si
    Zhu, Kunpeng
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 107 (1-2): : 631 - 643
  • [44] Wear Detection for Micro-Drill and Micro-Milling Tool via Adaptive Region Growth Algorithm
    Deng X.
    Wang Y.
    Hong Y.
    Hu X.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2021, 55 (12): : 98 - 107
  • [45] A comparative study of feature selection for hidden Markov model-based micro-milling tool wear monitoring
    Zhu, K. P.
    Hong, G. S.
    Wong, Y. S.
    MACHINING SCIENCE AND TECHNOLOGY, 2008, 12 (03) : 348 - 369
  • [46] Fuzzy c-means clustering based colour image segmentation for tool wear monitoring in micro-milling
    Malhotra, Jitin
    Jha, Sunil
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2021, 72 : 690 - 705
  • [47] The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
    Salur, Emin
    Kuntoglu, Mustafa
    Aslan, Abdullah
    Pimenov, Danil Yurievich
    METALS, 2021, 11 (11)
  • [48] Machinability Investigations Based on Tool Wear, Surface Roughness, Cutting Temperature, Chip Morphology and Material Removal Rate during Dry and MQL-Assisted Milling of Nimax Mold Steel
    Binali, Rustem
    Demirpolat, Havva
    Kuntoglu, Mustafa
    Saglam, Haci
    LUBRICANTS, 2023, 11 (03)
  • [49] Wear monitoring of micro-milling tools based on Improved Siamese Neural Network
    Zheng, Gang
    Lv, Xinfeng
    Zhang, Xu
    Hua, Zhijie
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2024, 238 (17) : 8715 - 8729
  • [50] Research on surface quality and tool wear of micro-groove array machined by a novel micro-milling cutter
    Jin, Liya
    Gong, Yadong
    Sun, Yao
    Wen, Quan
    Sun, Jingyu
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 121 (3-4): : 2383 - 2397