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Sponsored Webinar: Simplify and Accelerate High Integrity Welding Simulations

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Welding simulation can be complex and time consuming, as it requires accurate representation of geometric features, multiple weld passes, non-linear temperature dependent material properties, thermal and structural boundary conditions. Traditionally, significant user effort and expertise is required to capture and model all of these details.
Content for this webinar is provided by Dassault Systèmes. By registering, your contact information will be shared with the sponsor.
During this webinar, we will demonstrate an efficient approach to model and simulate of all aspects of 2D and 3D welding models in SIMULIA Abaqus, including weld beads, weld passes, film loads, and radiation loads. This unique interface guides user inputs to significantly accelerate and improve weld design analysis by automating most of the time consuming tasks associated with building a welding finite element model.

In addition, we will provide an overview of robust computational methods in Abaqus for thermo-structural simulation, accurate modeling of weld microstructure and grain size distribution and assessing associated residual stresses and distortion.

This combination of efficient modeling and robust simulation capabilities enables designers and engineers to collaborate on using consistent methods to create higher quality analysis models and ensure traceability of results and performance-related decisions.

Gain new insights into:

Fast and efficient set up of weld models, including automating time-consuming tasks
Coupled thermo-mechanical simulation of the welding process
Generation of residual stresses and strains in weldment
Microstructure (metallurgical phases and grain size) evolution during welding
Impact of welding parameter (heat input, torch velocity) on microstructure
Mechanical property prediction from microstructure

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Course Chapters

  • 1Sponsored Webinar: Simplify and Accelerate High Integrity Welding Simulations - Chapter 1
    Media Type: Video


Sandeep Kumar