https://matjournals.net/engineering/index.php/JoRTM <p class="contentStyle"><strong>JoRTM</strong> is a peer reviewed Journal in the discipline of Engineering published by the MAT Journals Pvt. Ltd. The Journal provides a platform to Researchers, Academicians, Scholars, Professionals and students in the Domain of Mechanical Engineering to promulgate their Research/Review/Case studies in the field of Mechanics. The Journal aims to promote high quality empirical Research, Review articles, case studies and short communications mainly focused on Kinematics, Non-Autonomous Mechanics, Fluid Mechanics, Computational Mechanics, Thermo Mechanics, Experimental Mechanics, and Quantum Mechanics.</p> <h6 class="mt-2"> </h6> <div class="card"> </div> en-US Journal of Recent Trends in Mechanics https://matjournals.net/engineering/index.php/JoRTM/article/view/4075 <p><em>Welding defects remain a major source of rework, scrap, production interruption, and reliability risk in manufacturing. Their occurrence is rarely controlled by a single variable because welding quality depends on the interaction of process parameters, joint preparation, material condition, equipment health, operator practice, inspection, and environmental conditions. This study develops a systematic engineering framework for the analysis and control of weld defects by integrating defect classification, structured quality-data collection, Pareto prioritization, process stratification, Fishbone analysis, 5-Why reasoning, risk-based prioritization, and preventive control. The framework is supported by recent industrial and safety evidence and is designed for application to manual, semi-automatic, and automated welding operations. A manufacturing-oriented case application is used to demonstrate how published evidence can be converted into a practical quality-improvement workflow without treating secondary case results as original experimental observations. The analysis emphasizes prevention and root-cause verification rather than end-of-line detection alone. It also shows how conventional quality tools can be extended with process sensing, statistical monitoring, and automated inspection. The resulting framework provides a reproducible basis for welding-quality management and establishes a transition path from defect recording to data-enabled process control.</em></p> Azazullah Prabhakar Kumar Rameshwar Pandey Copyright (c) 2026 Journal of Recent Trends in Mechanics 2026-09-07 2026-09-07 1 16