研究目的
Investigating the corrosion-fatigue behavior of 301L stainless steel welded joints using narrow gap laser wire welding under different stress ratios and chloride concentrations.
研究成果
The corrosion fatigue strength decreases with increasing stress amplitude and chloride concentration, with stress amplitude having a greater effect. Chromium depletion in the heat-affected zone reduces corrosion resistance, leading to crack initiation and propagation. The findings are significant for applications in train body manufacturing under corrosive and cyclic loading conditions.
研究不足
The study is limited to specific welding parameters, material types, and environmental conditions (NaCl solutions only); it does not explore other corrosive environments or long-term effects.
1:Experimental Design and Method Selection:
The study involved corrosion fatigue testing of welded joints under varying stress ratios and NaCl concentrations, with microstructure analysis using OM, SEM, and EBSD.
2:Sample Selection and Data Sources:
Base material was SUS301L-MT stainless steel with 8 mm thickness, and filler material was ER308LSi wire. Specimens were prepared according to GB/T
3:01-2006 standard. List of Experimental Equipment and Materials:
201 Equipment included TruDisk10002 disc solid-state laser, TPS4000 welding machine, HVS-30D Vivtorinox hardness tester, WDW-3100 universal testing machine, PWS-100 electro-hydraulic servo low frequency fatigue testing machine, and QUANTA FEG 250 scanning electron microscope. Materials included NaCl solutions (
4:5% and 5% mass fraction). Experimental Procedures and Operational Workflow:
Welding was performed with specified parameters, followed by hardness and tensile tests. Corrosion fatigue tests were conducted with sinusoidal wave frequency of 10 Hz and load ratios of
5:1 and 5, up to 5×10^5 cycles. Fracture surfaces were examined using SEM and EBSD. Data Analysis Methods:
S-N curves were fitted using an exponential model to determine fatigue limits. Microstructure and phase distribution were analyzed to understand failure mechanisms.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容