Year: 2025
Type: article
Abstract: Automated welding equipment has become crucial for improving production efficiency, ensuring weld quality, and reducing costs in construction machinery manufacturing. This paper outlines key equipment types and core principles, emphasizing advances in vision recognition, online inspection, and closed-loop parameter control. It describes automated welding processes and integrated implementation on assembly lines for large steel structures (e.g., main frames, chassis plates) and critical load-bearing components (e.g., booms, cylinder brackets), covering fixture design, path planning, parameter configuration, and MES integration. The paper discusses benefits—reduced welding time, stable weld quality, and minimized rework—and proposes flexible platform designs with multi-sensor fusion for real-time deviation compensation. A wheel loader case study demonstrates productivity gains, quality improvements, and positive ROI after automating main-frame and boom welding. Finally, in the context of Industry 4.0 and smart manufacturing, future trends include flexible welding cells, AI-driven adaptive process optimization via big data, and green, low-carbon welding technologies.
Author: Xie Guoying
Institution: Foton Motors (China)
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $329
OpenAlex ID: W4412869106