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
  • [21] Development of in-process welding torch position control system using AI technology
    S. Amano
    Y. Tsujimura
    T. Ogawa
    T. Shibata
    Welding in the World, 2023, 67 : 1223 - 1234
  • [22] Detection of weld defects in tailored blanks: Development of an in-process monitoring system for laser welding (1st Report)
    Mori, K. et al
    Welding International, 11 (08):
  • [23] In-Process Monitoring of Lack of Fusion in Ultra-Thin Sheets Edge Welding Using Machine Vision
    Hong, Yuxiang
    Chang, Baohua
    Peng, Guodong
    Yuan, Zhang
    Hou, Xiangchun
    Xue, Boce
    Du, Dong
    SENSORS, 2018, 18 (08)
  • [24] In-process monitoring of lack of fusion in ultra-thin sheets edge welding using machine vision
    Hong Y.
    Chang B.
    Peng G.
    Yuan Z.
    Hou X.
    Xue B.
    Du D.
    Sensors (Switzerland), 2018, 18 (08):
  • [25] Effects of tool tilt angle on the in-process heat transfer and mass transfer during friction stir welding
    Zhang, Shuai
    Shi, Qingyu
    Liu, Qu
    Xie, Ruishan
    Zhang, Gong
    Chen, Gaoqiang
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2018, 125 : 32 - 42
  • [26] In-process monitoring of welding quality by robotic laser ultrasonic measurement system using microchip laser
    Matsuida T.
    Otaki S.
    Noruma K.
    Asai S.
    Welding International, 2021, 35 (4-6): : 214 - 229
  • [27] Continuous monitoring of an intentionally-manufactured crack using an automated welding and in-process inspection system
    Javadi, Yashar
    Mohseni, Ehsan
    MacLeod, Charles N.
    Lines, David
    Vasilev, Momchil
    Mineo, Carmelo
    Foster, Euan
    Pierce, Stephen G.
    Gachagan, Anthony
    MATERIALS & DESIGN, 2020, 191 (191)
  • [28] In-process monitoring of welding quality by robotic laser ultrasonic measurement system using microchip laser
    Matsuida, Taketo
    Otaki, Satoshi
    Nomura, Kazufumi
    Asai, Satoru
    Yosetsu Gakkai Ronbunshu/Quarterly Journal of the Japan Welding Society, 2021, 39 (01): : 11 - 23
  • [29] Monitoring of the Friction Stir Welding Process to Describe Parameter Effects on Joint Quality
    T. Jene
    G. Dobmann
    G. Wagner
    D. Eifler
    Welding in the World, 2008, 52 (9-10) : 47 - 53
  • [30] In-Process Dimension Monitoring System for Integration of Legacy Machine Tools into the Industry 4.0 Framework
    Dayam, Sunidhi
    Desai, K. A.
    Kuttolamadom, Mathew
    SMART AND SUSTAINABLE MANUFACTURING SYSTEMS, 2021, 5 (01): : 242 - 263