Karrar Hussein, Habibollah Akbari, R. Noorossana, Rostom Yadegari
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引用次数: 0
Abstract
Purpose
This study aims to investigate the effects of process input parameters (welding current, welding time, electrode pressure and holding time) on the output responses (nugget diameter, peak load and indentation) that control the mechanical properties and quality of the joints in dissimilar resistance spot welding (RSW) for the third generation of advanced high-strength steel (AHSS) quenching and partitioning (Q&P980) and (SPFC780Y) high-strength steel spot welds.
Design/methodology/approach
Design of experiment approach with two level factors and center points was adopted. Destructive peel and shear tensile strengths were used to measure the responses. The significant factors were determined using analysis of variance implemented by Minitab 18 software. Finally, multiresponse optimization was carried out using the desirability function analysis method.
Findings
Holding time was the most significant factor influencing nugget diameter, whereas welding current had the greatest impact on peak load and indentation. Multiresponse optimization revealed that the optimal settings were a welding current of 12.5 KA, welding time of 18 cycles, electrode pressure of 420 Kgf and holding time of 10 cycles. These settings produced a nugget diameter of 8.0 mm, a peak load of 35.15 KN and an indentation of 22.5%, with a composite desirability function of 0.764.
Originality/value
This study provides an effective approach for multiple response optimization to the mechanical behavior of RSW joints, even though there have been few studies on the third generation of AHSS joints and none on the dissimilar joints of the materials used in this study.
期刊介绍:
- Design strategies - Usability and adaptability - Material, component and systems performance - Process control - Alternative and new technologies - Organizational, management and research issues - Human factors - Environmental, quality and health and safety issues - Cost and life cycle issues - Sustainability criteria, indicators, measurement and practices - Risk management - Entrepreneurship Law, regulation and governance - Design, implementing, managing and practicing innovation - Visualization, simulation, information and communication technologies - Education practices, innovation, strategies and policy issues.