Quality Evaluation of Welding Processes for Metals
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Welding and Joining".
Deadline for manuscript submissions: closed (31 January 2026) | Viewed by 962
Special Issue Editor
Interests: resistance spot welding; dissimilar metal; measure and control; intelligent system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, welding processes have been widely applied in industrial manufacturing areas. The welding quality is critical to the safety, reliability, and service life of various metal structures, and is closely related to the precise control of metallurgical phenomena. Metal phases, grain growth and refinement, and precipitation behaviors induced by thermal cycles directly govern microstructural evolution in welds and heat-affected zones, determining joint mechanical properties and service reliability.
This Special Issue focuses on metallurgical quality assessment methodology for metal welding, which covers intelligent defect detection, mechanical performance prediction by non-destructive testing, process parameter optimization, and standardization research. By integrating in situ characterization, computational metallurgy, and multi-parameter optimization, this Special Issue aims to advance welding quality evaluation from experience-based to data-driven approaches, which employ various mathematical or artificial intelligent tools, to ensure the structural integrity of metal components and in various industrial occasions and providing theoretical foundations for developing new metal welding process for extreme service conditions.
Dr. Kang Zhou
Guest Editor
Manuscript Submission Information
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Keywords
- welding quality
- phase transition, quality assessment
- artificial intelligent, data-driven approaches
- parameter optimization
- standardization research
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