Development of a novel monitoring system for the in-process characterisation of the machine and tooling effects in Inertia Friction Welding (IFW)

被引:7
|
作者
Raimondi, Luca [1 ]
Bennett, Christopher J. [1 ]
Axinte, Dragos [1 ]
Gameros, Andres [1 ]
Stevens, Peter A. [2 ]
机构
[1] Univ Nottingham, Rolls Royce UTC Mfg & Wing Technol, Nottingham NG7 2RD, England
[2] Rolls Royce Plc, Rotat Facil, Gate 10,Sinfin Lane, Derby DE24 9GJ, England
基金
英国工程与自然科学研究理事会;
关键词
Inertia friction welding; Solid-state joining; Monitoring system; Test rig; EFFICIENCY; BEHAVIOR;
D O I
10.1016/j.ymssp.2020.107551
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Inertia Friction Welding (IFW) is commonly approached by considering ideal conditions in which the two workpieces are in perfect contact, subjected to the nominal loads and the machine reacts ideally to the process loads. These conditions, however, are not represen-tative of a real weld, where fixturing issues, non-ideal interaction between the workpieces and compliance of the system under the process loads could significantly affect the quality and the repeatability of the weld. To fill this research gap, a novel monitoring system able to collect in-process data and a methodology for their analysis was developed. A set of run -down tests and steel w elds were performed on an industrial inertia welder to validate the rig. Then, the data extracted were used to study the interaction conditions between the spindle and fixture side of the machine and build dynamics models to understand the physical implication of specific events connected to the impact at part contact and the fly -wheel deceleration. The results showed a significant influence of the machine in the align-ment of the workpieces, with the runout between spindle and fixture that became larger and irregular during welding when the workpieces interact in non-ideal conditions. The quantitative comparison between the runout magnitude of rundown tests and welds showed an increase of more than four times that can be justified with the compliance of the machine, in which the spindle bearings representing the weakest element. The compar-ison of the outputs of the different sensors installed allowed to obtain, for the first time, a holistic view of the macroscopic phenomena occurring during the welding phase and observe how these could affect the final weld geometry and the dynamically evolving thermo-mechanical conditions of the weld. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Nondestructive, in-process inspection of inertia friction welding: An investigation into a new sensing technique
    Hartman, DA
    Cola, MJ
    Dave, VR
    Dozhier, NG
    Carpenter, RW
    TRENDS IN WELDING RESEARCH, PROCEEDINGS, 2003, : 948 - 954
  • [2] Nondestructive, in-process inspection of inertia friction welding: An investigation into a new sensing technique
    Hartman, DA
    Cola, MJ
    Dave, VR
    Dozhier, NG
    Carpenter, RW
    JOINING OF ADVANCED AND SPECIALTY MATERIALS V, PROCEEDINGS, 2003, : 89 - 95
  • [3] Elucidating the in-process interfacial friction regime and thermal responses during inertia friction welding of dissimilar superalloys
    Tang, Tianxiang
    Shi, Qingyu
    Zhang, Chunbo
    Liang, Wu
    Zhou, Jun
    Zhang, Gong
    Chen, Gaoqiang
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 30 : 1650 - 1661
  • [4] DEVELOPMENT OF A WELDING MONITORING SYSTEM FOR IN-PROCESS QUALITY CONTROL OF THICK WALLED PIPE
    Fujita, Y.
    Ogawa, T.
    Asai, S.
    Yamamoto, S.
    Ohdake, T.
    Ochiai, M.
    WELDING IN THE WORLD, 2012, 56 (11-12) : 15 - 25
  • [5] Development of in-process monitoring technique in YAG laser welding
    Nakashima, Y
    Kamimuki, K
    Nakabayashi, T
    Yoshida, K
    FIRST INTERNATIONAL SYMPOSIUM ON HIGH-POWER LASER MACROPROCESSING, 2003, 4831 : 160 - 164
  • [6] Development of a Welding Monitoring System for In-Process Quality Control of Thick Walled Pipe
    Yoshihiro Fujita
    Tsuyoshi Ogawa
    Satoru Asai
    Setsu Yamamoto
    Tatsuya Ohdake
    Makoto Ochiai
    Welding in the World, 2012, 56 : 15 - 25
  • [7] Machine Vision System Based Monitoring Approach For Friction Stir Welding Process
    Das, Bipul
    Pal, Sukhomay
    Bag, Swarup
    2016 IEEE FIRST INTERNATIONAL CONFERENCE ON CONTROL, MEASUREMENT AND INSTRUMENTATION (CMI), 2016, : 83 - 86
  • [8] Development of in-process assurance welding system (no. 1)
    Kouketsu, Masaichi
    Nakamura, Terumi
    Kaihara, Shoichiro
    Irisawa, Tosio
    Sakai, Keiichi
    Keikinzoku Yosetsu/Journal of Light Metal Welding and Construction, 1994, 32 (02): : 1 - 8
  • [9] The Effects of In-Process Cooling during Friction Stir Welding of 7475 Aluminium Alloy
    Jacob, Ashish
    Maheshwari, Sachin
    Siddiquee, Arshad Noor
    Al-Ahmari, Abdulrahman
    Abidi, Mustufa Haider
    Konovalov, Sergey
    Chen, Xizhang
    SAINS MALAYSIANA, 2021, 50 (09): : 2743 - 2754
  • [10] Machine learning-based in-process monitoring for laser deep penetration welding: A survey
    Lu, Rundong
    Lou, Ming
    Xia, Yujun
    Huang, Shuang
    Li, Zhuoran
    Lyu, Tianle
    Wu, Yidi
    Li, Yongbing
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 137