Fracture Mechanics-Based Modelling of Tool Wear in Machining Ti6Al4V Considering the Microstructure of Cemented Carbide Tools
1
Mechanical Engineering, McGill University, Canada
2
Aerospace Manufacturing Technologies Centre (AMTC), National Research Council Canada (NRC), Canada
3
Mechanical Engineering Dept., McGill University /, Aerospace Manufacturing Technology Centre, National Research Council Canada, Canada
4
R&D Material and Technology Development, Seco Tools AB, Sweden
Submission date: 2024-05-10
Final revision date: 2024-06-03
Acceptance date: 2024-06-03
Online publication date: 2024-06-10
Publication date: 2024-06-19
Corresponding author
M. Helmi Attia
Mechanical Engineering Dept., McGill University /, Aerospace Manufacturing Technology Centre, National Research Council Canada, 817 Sherbrooke Street West, H3A 0C3, Montréal, Canada
Mechanical Engineering Dept., McGill University /, Aerospace Manufacturing Technology Centre, National Research Council Canada, 817 Sherbrooke Street West, H3A 0C3, Montréal, Canada
Journal of Machine Engineering 2024;24(2):5-17
KEYWORDS
TOPICS
ABSTRACT
This study introduces a new wear model that can predict tool life in the milling process of Ti6Al4V using a cemented carbide tool. The model uses a finite element (FE) simulation to predict crack growth in the tool material microstructure. The FE model evaluates the crack propagation rate based on the real microstructure of the tool material, which is captured from microscopic images. To determine the normal and tangential forces operating on the flank face, an experimental procedure was developed based on three different flank wear widths. The FE model utilizes the elastic and fracture properties of tungsten carbide, and the elastic-plastic and fracture characteristics of cobalt binder to determine crack growth under the applied cutting forces. The crack propagation information combined with cutting conditions and the initial wear level are used to estimate the tool wear state. The developed model can predict tool life under different cutting conditions, tool geometries, and microstructure properties. Analysis of results showed that the error for the straight cuts was less than 6%, while for the complex cuts, it reached up to 20%. The accuracy of the model can be improved by extending the calibration test to higher levels of flank wear.
REFERENCES (35)
1.
GARCÍA J., et al., 2019, Cemented Carbide Microstructures: A Review, International Journal of Refractory Metals and Hard Materials, 80, 40–68.
2.
TKALICH D., et al., 2017, Multiscale Modeling of Cemented Tungsten Carbide in Hard Rock Drilling,. International Journal of Solids and Structures, 128, 282–295.
3.
KEMPESIS D., et al., 2022, Micromechanical Analysis of High Fibre Volume Fraction Polymeric Laminates Using Micrograph-Based Representative Volume Element Models, Composites Science and Technology, 229, 109680.
4.
MINGARD K.P., et al., 2018, Visualisation and Measurement of Hardmetal Microstructures in 3D, International Journal of Refractory Metals and Hard Materials, 71, 285–291.
5.
LANGER S.A., FULLER E.R., CARTER W.C., 2001, OOF: an Image-Based Finite-Element Analysis of Material Microstructures, Computing in Science & Engineering, 3/3, 15–23.
6.
COFFMAN V.R., et al., 2012, OOF3D: an Image-Based Finite Element Solver for Materials Science, Mathematics and Computers in Simulation, 82/12, 2951–2961.
7.
SOSA J.M., et al., 2014, Development and Application of MIPAR™: A Novel Software Package for Two- and Three-Dimensional Microstructural Characterization, Integrating Materials and Manufacturing Innovation, 3/1, 123–140.
8.
ARDELJAN M., et al., 2015, A Study of Microstructure-Driven Strain Localizations in Two-Phase Polycrystalline HCP/BCC Composites Using a Multi-Scale Model, International Journal of Plasticity, 74, 35–57.
9.
ALLEMAN C.N., et al., 2018, Concurrent Multiscale Modeling of Microstructural Effects on Localization Behavior in Finite Deformation Solid Mechanics, Computational Mechanics, 61/1–2, 207–218.
10.
AGODE K.E., et al., 2024, Modelling of the Damage Initiation at WC/WC and WC/Co Boundaries in WC-Co Tool Material at the Microstructure Scale: Application to the Tool/Chip Contact, International Journal of Refractory Metals and Hard Materials, 119, 106508.
11.
BARDETSKY A., ATTIA H., ELBESTAWI M., 2007, A Fracture Mechanics Approach to the Prediction of Tool Wear in Dry High-Speed Machining of Aluminum Cast Alloys – Part 1: Model Development, Journal of Tribology, 129/1, 23–30.
12.
ÖZDEN U.A., et al., 2015, Mesoscopical Finite Element Simulation of Fatigue Crack Propagation in WC/Co-Hardmetal, International Journal of Refractory Metals and Hard Materials, 49, 261–267.
13.
MALAKIZADI A., SHI B., HOIER P., ATTIA H., KRAJNIK P., 2020, Physics‒Based Approach for Predicting Dissolution‒Diffusion Tool Wear in Machining, CIRP Annals-Manuf. Techn., 69/1, 4.
14.
KRAMER B.M., SUH N.P., 1980, Tool Wear by Solution: A Quantitative Understanding, Journal of Engineering for Industry, 102/4, 303–309.
15.
ATTIA H., et al., 2024, Physics Based Models for Characterization of Machining Performance – A Critical Review, CIRP Journal of Manufacturing Science and Technology, 51, 161–189.
16.
SARIKAYA M., et al., 2021, A State-of-the-Art Review on Tool Wear and Surface Integrity Characteristics in Machining of Superalloys, CIRP J. Manufacturing Science and Technology, 35, 624–658.
17.
AKHTAR W., et al., 2014, Tool Wear Mechanisms in the Machining of Nickel Based Super-Alloys: a Review, Frontiers of Mechanical Engineering, 9/2, 106–119.
18.
MELKOTE S., et al., 2022, 100th Anniversary Issue of the Manufacturing Engineering Division Papera Review of Advances in Modeling of Conventional Machining Processes: from Merchant to the Present, Journal of Manufacturing Science and Engineering, 144/11.
19.
SOORI M., AREZOO B., 2022, Cutting Tool Wear Prediction in Machining Operations, a Review, Journal of New Technology and Materials.
20.
LI B., 2012, A Review of Tool Wear Estimation Using Theoretical Analysis and Numerical Simulation Technologies, International Journal of Refractory Metals and Hard Materials, 35, 143–151.
21.
ZHANG Y., et al., 2021, Tool Wear Estimation and Life Prognostics in Milling: Model Extension and Generalization, Mechanical Systems and Signal Processing, 155, 107617.
22.
MCHUGH P.E., CONNOLLY P.J., 2003, Micromechanical Modelling of Ductile Crack Growth in the Binder Phase of WC–Co, Computational Materials Science, 27/4, 423–436.
23.
FLEMING J.R., SUH N.P., 1977, Mechanics of Crack Propagation in Delamination Wear, Wear, 44/1, 39–56.
24.
TANAKA K., NAKAI Y., YAMASHITA M., 1981, Fatigue Growth Threshold of Small Cracks, International Journal of Fracture, 17/5, 519–533.
25.
BARDETSKY A., ATTIA H., ELBESTAWI M., 2007, A Fracture Mechanics Approach to the Prediction of Tool Wear in Dry High Speed Machining of Aluminum Cast Alloys – Part 2: Model Calibration and Verification, Journal of Tribology, 129/1, 31–39.
26.
SADOWSKI T., NOWICKI T., 2008, Numerical Investigation of Local Mechanical Properties of WC/Co Composite, Computational Materials Science, 43/1, 235–241.
27.
LIU Y., et al., 2014, Mechanical Properties and Chemical Bonding Characteristics of WC and W2C Compounds, Ceramics International, 40/2, 2891–2899.
28.
SUETIN D.V., SHEIN I.R., IVANOVSKII A.L., 2008, Elastic and Electronic Properties of Hexagonal and Cubic Polymorphs of Tungsten Monocarbide WC and Mononitride WN from First-Principles Calculations. Physica Status Solidi (b), 245/8, 1590–1597.
29.
KIM H., KIM J., KWON Y., 2005, Mechanical Properties of Binderless Tungsten Carbide by Spark Plasma Sintering. in Proceedings, The 9th Russian-Korean International Symposium on Science and Technology, KORUS 2005, IEEE.
30.
ÖZDEN U.A., BEZOLD A., BROECKMANN C., 2014, Numerical Simulation of Fatigue Crack Propagation in WC/Co Based on a Continuum Damage Mechanics Approach, Procedia Materials Science, 3, 1518–1523.
31.
KARIMPOOR A.A., Erb U., 2006, Mechanical Properties f Nanocrystalline Cobalt, Physica Status Solidi (a), 203/6, 1265–1270.
32.
POECH M.H., et al., 1993, FE-Modelling of the Deformation Behaviour of WC-Co Alloys, Computational Materials Science, 1/3, 213–224.
33.
BARDETSKY A., 2005, Tribological Behavior of Cutting Tool in High-Speed Machining of Al-Si Alloys, McMaster University.
34.
HERRERO B.C., 2022, Experimental Study and Modelling of Heat Transfer in Milling of Titanium Alloys, M.Sc. Thesis, in Production and Materials Engineering, Lund University.
35.
ETHERIDGE R. HSU T., 1969, The Specific Wear Rate in Cutting Tools and its Application to the Assessment of Machinability, Annals of CIRP, 18, 107–117.
| eISSN: | 2391-8071 |
| ISSN: | 1895-7595 |
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