Machining behavior of Inconel 718 in hybrid additive and subtractive manufacturing

被引:5
|
作者
Bagherzadeh, Amin [1 ,2 ,3 ]
Budak, Erhan [1 ,3 ]
Ozlu, Emre [4 ]
Koc, Bahattin [2 ,3 ]
机构
[1] Sabanci Univ, Mfg Res Lab, TR-34956 Istanbul, Turkiye
[2] Sabanci Univ, Integrated Mfg Technol Res & Applicat Ctr, TR-34906 Istanbul, Turkiye
[3] Sabanci Univ, Fac Engn & Nat Sci, TR-34956 Istanbul, Turkiye
[4] Nevomes Adv Technol Inc, Gebze, Kocaeli, Turkiye
关键词
Hybrid additive manufacturing; Direct energy deposition; Laser powder bed fusion; Machining; Constitutive model; Nickel alloy 718; CUTTING PROCESS; MODEL; MICROSTRUCTURE; FORCE; MACHINABILITY; SUPERALLOY; SIMULATION; MECHANICS;
D O I
10.1016/j.cirpj.2023.08.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive manufacturing can produce complex parts with poor surface quality, requiring post-processing machining. The combination of additive and machining processes has been identified as a potential solution for achieving sustainable and cleaner production. This approach can enable the use of eco-friendly materials such as recycled or biodegradable ones, while reducing waste, energy consumption, and materials usage. Additionally, it can achieve precision and be used for repairing and finishing complex features. However, there is a lack of literature documenting fundamental material deformation and friction behavior in hybrid additive/subtractive manufacturing, which is necessary for optimizing the process efficiency and achieving cleaner production with reduced material usage and energy. This study investigates material deformation behavior in dry and wet hybrid manufacturing through shear stress, shear angle, and friction. The com-monly used Johnson-Cook (JC) model may not adequately represent the deformation behavior in these operations. Therefore, a dual-zone thermomechanical model approach is applied modifying the JC model to hybrid manufacturing. The modified JC constitutive equation and analytical models are used in both modeling and parameter identification. This approach reduces the experimental effort significantly as only a few orthogonal cutting tests are needed to identify the material model and friction. The presented work contributes to a better understanding and modeling of hybrid manufacturing processes, aiming to enhance sustainability by minimizing material waste and energy consumption, ensuring product quality and in-tegrity, and facilitating the adoption of sustainable practices.& COPY; 2023 CIRP.
引用
收藏
页码:178 / 190
页数:13
相关论文
共 50 条
  • [31] Improving machinability of Inconel 718 with a new hybrid machining technique
    Feyzi, Taghi
    Safavi, S. Mohsen
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 66 (5-8): : 1025 - 1030
  • [32] Improving machinability of Inconel 718 with a new hybrid machining technique
    Taghi Feyzi
    S. Mohsen Safavi
    The International Journal of Advanced Manufacturing Technology, 2013, 66 : 1025 - 1030
  • [33] INFLUENCE OF MACHINING AND COATINGS ON THE OLIGOCYCLIC FATIGUE BEHAVIOR OF INCONEL 718
    PORET, L
    CAILLET, G
    CARDALLIAGUET, J
    HERMAN, C
    MEMOIRES ET ETUDES SCIENTIFIQUES DE LA REVUE DE METALLURGIE, 1981, 78 (09): : 465 - 465
  • [34] Topology optimization for hybrid additive-subtractive manufacturing
    Jikai Liu
    Albert C. To
    Structural and Multidisciplinary Optimization, 2017, 55 : 1281 - 1299
  • [35] Topology optimization for hybrid additive-subtractive manufacturing
    Liu, Jikai
    To, Albert C.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 55 (04) : 1281 - 1299
  • [36] Research progress in additive-subtractive hybrid manufacturing
    Guo C.-H.
    Wang Z.-C.
    Yan J.-Y.
    Yuan D.
    Jiang F.-C.
    Wang J.-D.
    Niu Z.-Y.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2020, 42 (05): : 540 - 548
  • [37] Simulator of an additive and subtractive type of hybrid manufacturing system
    Dilberoglu, Ugur M.
    Haseltalab, Vahid
    Yaman, Ulas
    Dolen, Melik
    29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 792 - 799
  • [38] Optimal Process Planning for Hybrid Additive and Subtractive Manufacturing
    Osman, Hany
    Azab, Ahmed
    Baki, Mohammed Fazle
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2023, 145 (06):
  • [39] Additive Manufacturing of Functional Inconel 718 Parts from Recycled Materials
    Tupac-Yupanqui, Hugo
    Armani, Amir
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2021, 30 (02) : 1177 - 1187
  • [40] Investigation on mechanical behaviour of inconel 718 manufactured through additive manufacturing
    Vaishnavi Kohale
    Samidha Jawade
    Ganesh Kakandikar
    International Journal on Interactive Design and Manufacturing (IJIDeM), 2023, 17 : 1645 - 1651