New stochastic wear law to predict the abrasive flank wear and tool life in machining process

被引:11
|
作者
Halila, Faycel [1 ,2 ]
Czarnota, Christophe [3 ]
Nouari, Mohammed [1 ,2 ]
机构
[1] Ecole Mines Nancy, CNRS, LEMTA, UMR 7563, Mines Dalbi, France
[2] GIP InSIC, F-88100 St Die, France
[3] Univ Lorraine, Lab Etud Microstruct & Mecan Mat, CNRS, LEM3,UMR 7239, Nancy, France
关键词
Machining; abrasive wear; flank wear; stochastic approach; tool life; DIFFICULT; STEEL; MODEL;
D O I
10.1177/1350650114521405
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Tool wear and tool failure are some of the main critical problems in industrial manufacturing fields since they affect the quality of the machined part and raise production costs. Improving our knowledge of wear mechanisms and capabilities of wear prediction are therefore of great importance in the machining process. Abrasion, adhesion and diffusion are usually identified as the three main wear modes at the tool-chip and the tool-workpiece interfaces. From an experimental point of view, the analysis of mechanisms that govern the wear process is still difficult to conduct. The objective of this research work is then to develop a wear modeling focusing on the abrasive wear mode at the tool-workpiece interface. This wear phenomenon is assumed to be closely linked to the microstructure's material workpiece and caused by hard conical particles trapped into the contact between the cutting tool and the workpiece. The proposed model is based on an analytical approach including a statistical description governing the distribution of particles with conical shape embedded in the contact area. The volume of the removed material per unit time was chosen in this study as the main parameter to describe abrasive flank wear mode. A parameter Vb(0) was introduced as the sudden flank wear which occurs in the former few cutting instants. A parametric study has been conducted that highlights the slight effect of the adopted value. The effect of the cutting conditions (cutting speed, pressure) at the tool flank that has a major influence on the wear rate, was deduced from a numerical study on the 42CrMo4/WC-Co tool-workpiece combination. Finally, a wear criterion has been proposed to estimate the tool life in order to address the concerns of industries.
引用
收藏
页码:1243 / 1251
页数:9
相关论文
共 50 条
  • [1] On the Effects of Magnitude of Flank Wear as Tool Life Criterion on Sustainability Measures of a Continuous Machining Process
    Iqbal, Asif
    Nauman, Malik M.
    Al-Ghamdi, Khalid A.
    CONFERENCE PROCEEDINGS OF 2018 4TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2018, : 451 - 455
  • [2] WEAR OF TOOL AND ABRASIVE PARTICLES IN ULTRASONIC MACHINING
    PAHLITZS.G
    YOUSSEF, H
    METALL, 1968, 22 (02): : 103 - &
  • [3] Prediction Of Abrasive And Diffusive Tool Wear Mechanisms In Machining
    Rizzuti, S.
    Umbrello, D.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, PTS ONE AND TWO, 2010, 1315 : 1669 - +
  • [4] Tool flank wear influence on workpiece heating in dry machining
    Cohen, Guillaume
    Segonds, Stéphane
    Mousseigne, Michel
    Lagarrigue, Pierre
    International Journal of Machining and Machinability of Materials, 2008, 4 (04) : 406 - 418
  • [5] A mechanics of cutting analysis in orthogonal machining with tool flank wear
    Wang, J
    ABRASIVE TECHNOLOGY: CURRENT DEVELOPMENT AND APPLICATIONS I, 1999, : 357 - 367
  • [6] POST-MACHINING PLASTIC RECOVERY AND LAW OF ABRASIVE WEAR
    ABDELMON.ME
    SCRUTTON, RF
    WEAR, 1973, 24 (01) : 1 - 13
  • [7] Effect of tool flank wear on the orthogonal cutting process
    Zhao, X.L.
    Tang, Y.
    Deng, W.J.
    Zhang, F.Y.
    Key Engineering Materials, 2007, 329 : 705 - 710
  • [8] An effective approach to predict the minimum tool wear of machining process of Inconel 718
    Niyas, S.
    Jappes, J. T. Winowlin
    Adamkhan, M.
    Brintha, N. C.
    MATERIALS TODAY-PROCEEDINGS, 2022, 60 : 1819 - 1834
  • [9] A new abrasive wear law for the sticking and sliding contacts when machining metallic alloys
    Halila, F.
    Czarnota, C.
    Nouari, M.
    WEAR, 2014, 315 (1-2) : 125 - 135
  • [10] Tool wear estimation in machining based on the flank wear inclination angle changes using the FE method
    Nooraie, Ramin Yousefi
    Safari, Mehdi
    Pak, Abbas
    MACHINING SCIENCE AND TECHNOLOGY, 2020, 24 (03) : 425 - 445