ESI SYSWELD - Welding, Assembly and Heat Treatment Predictive Simulation
From weld quality to body manufacturing & distortion engineering, ESI SYSWELD offers a unique computer-aided assessment of thermal, chemical, metallurgical and mechanical phenomena encountered in welding, assembly and heat treatment processes.
Main Benefits of SYSWELD for Welding & Assembly
- Minimize prototyping costs
- Develop and optimize a welding plan in a short timeframe
- Keep welding distortions within allowable tolerances
- Control high stresses in the welding design
- Guarantee the highest quality welds
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Welding Assembly Distortion Control. Images courtesy of COMIL
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Weld Quality & Performance Optimization
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Main Benefits of SYSWELD for Heat Treatment (HT) Simulation
- Avoid component distortion and high material hardness during or after HT
- Obtain correct material strength, toughness and hardness
- Ensure high wear resistance of the contacting surfaces
- Achieve the required distribution of residual stresses
Articles
Read our latest article on engineering.com on Simulate Stamp, Welding and Product Assembly with ESI SYSWELD
Customer Quotes
The PRISM2 computational modelling group, at the University of Birmingham was interested in researching the metallurgical modelling of the aerospace titanium alloy Ti-6Al-4V during heat treatment and manufacturing operations, including welding. The mechanical properties resulting from the different processing routes are a function of the variations within the microstructure. Thus, a coupled thermal–metallurgical modelling framework was developed to allow for predictions of the microstructural development resulting from the thermal fields associated with the processing route.These models were coded in the ESI Group commercial FE software SYSWELD for the prediction of microstructure evolution during manufacturing simulations. The metallurgical models developed were linked with a physically based mechanical model to predict the flow properties. The approach was validated through the application of the models to instrumented experimental welding trials.
Jeffery W Brooks, PRISM2 computational modelling group; University of Birmingham
