Destructive tests on welds in metallic materials. Torsion test of resistance spot welds

2015 ◽  
Keyword(s):  
Torsion Test ◽  
Metallic Materials ◽  
Spot Welds ◽  
Resistance Spot ◽  
Resistance Spot Welds

Sensitivity of dissimilar aluminum to steel resistance spot welds to weld gun deflection

2021 ◽  
Vol 68 ◽  
pp. 534-545
Author(s):  
Shanqing Hu ◽  
Amberlee S. Haselhuhn ◽  
Yunwu Ma ◽  
Yongbing Li ◽  
Blair E. Carlson ◽  
...  
Keyword(s):  
Spot Welds ◽  
Resistance Spot ◽  
Resistance Spot Welds

scholarly journals Effect of weld nugget size on failure mode and mechanical properties of microscale resistance spot welds on Ti–1Al–1Mn ultrathin foils

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878528 ◽  
Author(s):  
Feng Chen ◽  
Shiding Sun ◽  
Zhenwu Ma ◽  
GQ Tong ◽  
Xiang Huang
Keyword(s):  
Mechanical Properties ◽  
Failure Mode ◽  
Failure Modes ◽  
Mechanical Performance ◽  
Weld Nugget ◽  
Interfacial Failure ◽  
Spot Welds ◽  
Resistance Spot ◽  
Resistance Spot Welds ◽  
Pullout Failure

We use tensile–shear tests to investigate the failure modes of Ti–1Al–1Mn microscale resistance spot welds and to determine how the failure mode affects the microstructure, microhardness profile, and mechanical performance. Two different failure modes were revealed: interfacial failure mode and pullout failure mode. The welds that fail by pullout failure mode have much better mechanical properties than those that fail by interfacial failure mode. The results show that weld nugget size is also a principal factor that determines the failure mode of microscale resistance spot welds. A minimum weld nugget size exists above which all specimens fail by pullout failure mode. However, the critical weld nugget sizes calculated using the existing recommendations are not consistent with the present experimental results. We propose instead a modified model based on distortion energy theory to ensure pullout failure. Calculating the critical weld nugget size using this model provides results that are consistent with the experimental data to high accuracy.

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