INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

被引:5
|
作者
Pedroso, Andre F. V. [1 ]
Sebbe, Naiara P. V. [1 ,2 ]
Costa, Ruben D. F. S. [2 ,3 ]
Barbosa, Marta L. S. [2 ]
Sales-Contini, Rita C. M. [1 ,4 ]
Silva, Francisco J. G. [1 ,3 ]
Campilho, Raul D. S. G. [1 ,3 ]
de Jesus, Abilio M. P. [2 ,3 ]
机构
[1] Polytech Porto, CIDEM, ISEP, Rua Dr Antonio Bernardino de Almeida, P-4249015 Porto, Portugal
[2] Univ Porto, Fac Engn, Dept Mech Engn, RDFSC, Rua Dr Roberto Frias 400, P-4200465 Porto, Portugal
[3] LAETA INEGI, Associate Lab Energy Transports & Aerosp, Rua Dr Roberto Frias 400, P-4200465 Porto, Portugal
[4] Technol Coll Sao Jose dos Campos, Ctr Paula Souza, Ave Cesare Mansueto Giulio Lattes 1350 Dist Eugeni, BR-12247014 Sao Jose Dos Campos, Brazil
来源
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING | 2024年 / 8卷 / 01期
关键词
INCONEL (R) 718; INCONEL (R) 625; FEA; traditional machining modelling; non-conventional machining modelling; Johnson-Cook criteria; COOK CONSTITUTIVE MODEL; FLANK WEAR; ANALYTICAL PREDICTION; NUMERICAL-SIMULATION; SENSITIVITY-ANALYSIS; MATERIAL BEHAVIOR; DYNAMIC-BEHAVIOR; CUTTING FORCE; HEAT-TRANSFER; STRAIN RATES;
D O I
10.3390/jmmp8010037
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Machining INCONEL (R) presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). However, it is crucial to ascertain whether numerical and constitutive models can accurately predict INCONEL (R) machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL (R) milling, turning, and drilling simulations through FEA from 2013 to 2023. Additionally, non-conventional manufacturing simulations are addressed. This review highlights the most recent modelling digital solutions, prospects, and limitations that researchers have proposed when tackling INCONEL (R) FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL (R) machining through FEA can significantly enhance experimental analyses with the proper choice of damage and failure criteria. This approach not only enables a more precise calibration of parameters but also improves temperature (T) prediction during the machining process, accurate Tool Wear (TW) quantity and typology forecasts, and accurate surface quality assessment by evaluating Surface Roughness (SR) and the surface stress state. Additionally, it aids in making informed choices regarding the potential use of tool coatings.
引用
收藏
页数:46
相关论文
共 50 条
  • [21] Finite element analysis as a tool for thermography
    Kleinfeld, JM
    THERMOSENSE XXI, 1999, 3700 : 6 - 13
  • [22] Milling tool's flank wear prediction by temperature dependent wear mechanism determination when machining Inconel 182 overlays
    Wang, Chengdong
    Ming, Weiwei
    Chen, Ming
    TRIBOLOGY INTERNATIONAL, 2016, 104 : 140 - 156
  • [23] Tool wear analysis in micromilling of titanium alloy
    Colpani, Alessandro
    Fiorentino, Antonio
    Ceretti, Elisabetta
    Attanasio, Aldo
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2019, 57 : 83 - 94
  • [24] Assessment of factors influencing tool wear on the machining of Nimonic C-263 alloy with PVD coated carbide inserts
    Ezilarasan, C.
    Kumar, V. S. Senthil
    Velayudham, A.
    Palanikumar, K.
    MATERIALS PROCESSING TECHNOLOGY, PTS 1-4, 2011, 291-294 : 794 - +
  • [25] The efficacy of finite element analysis (FEA) as a design tool for food packaging: A review
    Fadiji, Tobi
    Coetzee, Corne J.
    Berry, Tarl M.
    Ambaw, Alemayehu
    Opara, Umezuruike L.
    BIOSYSTEMS ENGINEERING, 2018, 174 : 20 - 40
  • [26] Finite Element Simulation of PCD Tool Cutting Titanium Alloy
    Liu, Xianli
    Zhang, Jiayi
    Wang, Yu
    Yue, Caixu
    Liu, Fei
    ADVANCES IN MACHINING AND MANUFACTURING TECHNOLOGY XII, 2014, 589-590 : 64 - 69
  • [27] Effects of Cutting Speed on Chip Characteristics and Tool Wear Mechanisms During Dry Machining of Inconel 718 Using Uncoated WC Tool
    Merugu Rakesh
    Saurav Datta
    Arabian Journal for Science and Engineering, 2019, 44 : 7423 - 7440
  • [28] Wear Analysis and Tool Life Modeling in Micro Drilling of Inconel 718 Superalloy
    Agrawal, Vipul
    Gajrani, Kishor Kumar
    Mote, Rakesh G.
    Barshilia, Harish C.
    Joshi, Suhas S.
    JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME, 2022, 144 (10):
  • [29] Effects of Cutting Speed on Chip Characteristics and Tool Wear Mechanisms During Dry Machining of Inconel 718 Using Uncoated WC Tool
    Rakesh, Merugu
    Datta, Saurav
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2019, 44 (09) : 7423 - 7440
  • [30] A coupled finite element and meshfree analysis of erosive wear
    Wang, Yu-Fei
    Yang, Zhen-Guo
    TRIBOLOGY INTERNATIONAL, 2009, 42 (02) : 373 - 377