A review on friction stir welding of steels

DG Mohan, CS Wu - Chinese Journal of Mechanical Engineering, 2021 - Springer
Abstract Friction Stir Welding (FSW) is the most promising solid-state metals joining method
introduced in this era. Compared to the conventional fusion welding methods, this FSW can …

A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0

D Mishra, RB Roy, S Dutta, SK Pal… - Journal of Manufacturing …, 2018 - Elsevier
This review is on the various techniques and methodologies applied to sensor based
monitoring of the quality and control of defects in an advanced joining process named …

An automatic welding defect location algorithm based on deep learning

L Yang, H Wang, B Huo, F Li, Y Liu - Ndt & E International, 2021 - Elsevier
Welding production has a pivotal role in the modern manufacturing industry. However,
welding defects are frequently generated during the complex welding production process …

Research and prospect of welding monitoring technology based on machine vision

X Fan, X Gao, G Liu, N Ma, Y Zhang - The International Journal of …, 2021 - Springer
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …

Comparison of the weldability of AA6061-T6 joint under different friction stir welding conditions

A Abdollahzadeh, B Bagheri, M Abassi… - Journal of Materials …, 2021 - Springer
In this work, similar butt joints of AA6061-T6 alloy prepared by underwater friction stir
welding (UWFSW) and friction stir vibration welding (FSVW) processes were examined. The …

[PDF][PDF] Review the common defects in friction stir welding

AI Albannai - Int. J. Sci. Technol. Res, 2020 - researchgate.net
Friction stir welding (FSW) is a solid-state weld process that broadly used by industries and
preferred rather than other weld process due to its capability to weld similar and dissimilar …

Modeling of defects in friction stir welding using coupled Eulerian and Lagrangian method

P Chauhan, R Jain, SK Pal, SB Singh - Journal of Manufacturing Processes, 2018 - Elsevier
In the current research, a coupled Eulerian and Lagrangian method is used to model the
friction stir welding process. Volume of fluid principle is used to predict the formation of …

A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding

T Liu, J Bao, J Wang, Y Zhang - Sensors, 2018 - mdpi.com
At present, realizing high-quality automatic welding through online monitoring is a research
focus in engineering applications. In this paper, a CNN–LSTM algorithm is proposed, which …

A review on numerical modelling techniques in friction stir processing: current and future perspective

RV Marode, SR Pedapati, TA Lemma… - Archives of Civil and …, 2023 - Springer
Friction stir processing (FSP) has gained significant attention worldwide since its inception
due to its remarkable solid-state characteristics and microstructure refinement. However, the …

An autonomous technique for weld defects detection and classification using multi-class support vector machine in X-radiography image

M Malarvel, H Singh - Optik, 2021 - Elsevier
Non-destructive tests are a major evaluation process in the metal, oil, and gas industries. In
these industries, weld defect inspection is one of the important parts of testing. Manual …