研究目的
Investigating the fatigue test automatization and stress analysis of CoCr laser welds to improve efficiency and understanding of miniature laser welds at the length scale of 100 mm.
研究成果
The data provided can improve the efficiency of fatigue test programming of laser welds under shear load in universal test machines. The stress data helps to understand and improve the geometry and parameters of miniature laser welds. The compositional results provide information about the CoCr alloy to improve surface quality due to laser welding in medical devices.
研究不足
The technical constraints include the need for visual verification of each test and threshold triggering by using a microscope. Potential areas for optimization include further automation of the testing process and refinement of the stress computation models.
1：Experimental Design and Method Selection:
Fatigue testing was performed using the GE2 specimen geometry with a 3 kN load cell and integrated computerized control. The testing included two phases: damage onset and shear fatigue, with automatization set by a digitized trigger based on displacement drift.
2：Sample Selection and Data Sources:
Industrial and clean room surface cleaning for CoCr laser welds at the length scale of 100 mm.
3：List of Experimental Equipment and Materials:
Electropuls E3000, Instron; WaveMatrix, Instron; ABAQUS by Dassault Systemes; X-Max SDD for Energy dispersive X-ray spectroscopy.
4：Experimental Procedures and Operational Workflow:
The GE2 fatigue test specimens were tested in two phases with automatization of the phase-division set by using a digitized trigger. Visual verification was done using a microscope.
5：Data Analysis Methods:
Finite element method based stress computation was conducted using ABAQUS standard/2017 software code. Material models were configured as described in related work.
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