Processing and Characterization of Hybrid Multi-material Joints DOI
Liping Zhou,

Baojian Han,

Liying Wang

et al.

Journal of Materials Engineering and Performance, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

The Role of Force and Torque in Friction Stir Welding: A Detailed Review DOI Creative Commons
Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

et al.

Journal of Advanced Joining Processes, Journal Year: 2025, Volume and Issue: 11, P. 100289 - 100289

Published: Jan. 31, 2025

Language: Английский

Citations

5
Machine learning metamodels for thermo-mechanical analysis of friction stir welding DOI

Dinesh V. Burande,

Kanak Kalita, Rohit Gupta

et al.

International Journal on Interactive Design and Manufacturing (IJIDeM), Journal Year: 2024, Volume and Issue: unknown

Published: May 25, 2024

Language: Английский

Citations

14
Stress analysis and modeling of rotating functionally graded discs with variable geometry using support vector regression DOI

Hasan Çallıoğlu,

Said Müftü

World Journal of Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Purpose The purpose of this study is to investigate the stress and deformation analysis rotating discs composed functionally graded materials variable geometry. In addition this, obtained radial stress, tangential displacement values can be modeled by means support vector regression (SVR). Design/methodology/approach Radial material index geometry were finite element method. with SVR. Findings case free-free discs, it was observed that stresses decreased an increase in index, whereas on inner surface significantly increased outer surface. As decreases, both surfaces decrease. most successful modeling for displacement, respectively, although performed SVR yielded results each them. Originality/value represents a research gap aims address.

Language: Английский

Citations

0
Prediction of Mechanical Properties in Friction Stir Welded Al6061 Alloys Using Machine Learning Algorithms DOI
Priyadarsini Morampudi,

G. Raghu Babu,

Ray Koushik

et al.

Transactions of the Indian Institute of Metals, Journal Year: 2025, Volume and Issue: 78(6)

Published: May 9, 2025

Language: Английский

Citations

0
Cyber‐physical‐based welding systems: Components and implementation strategies DOI Creative Commons
József Szőlősi, Péter Magyar,

József Antal

et al.

IET Cyber-Physical Systems Theory & Applications, Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

Abstract The conditions for a feasible Cyber‐Physical System (CPS) in welding environment are explored the manufacturing technology components while also focusing on machine learning tools. Increasing efficiency means making digitalisation all technologies, including welding, given today's challenges. Early versions of management, such as Computer Integrated Manufacturing, already leading way, and one latest milestones these developments is CPS. It can be shown that digital migration specific sub‐domains (e.g. visual inspection weld seam during quality assurance) significantly more challenging unimaginable without artificial intelligence applications. However, it true full integration needed to achieve autonomous has yet fully achieved, although there strong demand industry CPS work. In some areas, switchover been prepared. interconnection subsystems requires modern information systems or, case existing ones, their upgrading appropriate level. This research area set addressed comprehensively by initiating several projects. initial phase, aim develop an architecture integrates various Information Technology this work, under studied, relevant explored, transition from traditional CPS‐based examined examples planned further studies listed.

Language: Английский

Citations

1
Advances in welding sensing information processing and modelling technology: an overview DOI
Amrinder Mehta, Hitesh Vasudev

Journal of Adhesion Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 45

Published: Aug. 6, 2024

The above article is about research for implementing a visual monitor that evaluates the weld penetration during pulsed tungsten arc gas (GTAW) welding which used active shape model (ASM) and random forest method. herein focuses on of penalty experienced after VGG-SE network takes place, onset pulse with GTAW. objective this to choose AMM Random Forest as Visual Sensor System, system will gain in accuracy efficiency monitoring quality control measure also improving upon processes whole. Research work planned be applied possible new technology existence both CNN attention modes well upgrade observation abilities consequently closed loop furthermore features would basis intelligence welding. weldability an incomplete determined using 'Fusion Zone Data Set' made up different states attention-based LSTM system. analysis data carried out key are assigned weights showing recognizing process can improved. It gives chance use cutting-edge technologies, deliver maximum precision reliability rates porosity investigation Al-Mg joints domain. future prospect Automation Welding Sustainable Manufacturing brighter must-regard aspect development industry because it better incorporate by all stakeholders produces competitive, eco-friendly, efficient practices.

Language: Английский

Citations

0
Evaluating the Influence of Copper Bar Preheating Temperature on the Electromechanical and Microstructural Characteristics of In Situ Heat-Treated 7075Al/Cu Composite Joints DOI
Muhammad Waqas Hanif, Muhammad Sajid, Muhammad Jawad

et al.

Journal of Materials Engineering and Performance, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

Language: Английский

Citations

0
Processing and Characterization of Hybrid Multi-material Joints DOI
Liping Zhou,

Baojian Han,

Liying Wang

et al.

Journal of Materials Engineering and Performance, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

Citations

0