Hossein Mohammadtaheri

LinkedIn Profile

——————————————————————————————————————————–

  • Concordia University
    Contract Full-time · 2 yrs 11 mos
    Montreal, Quebec, Canada
  • Graduate Research Assistant
    Sep 2021 – Present · 2 yrs 11 mos

——————————————————————————————————————————–

  • Concordia University
    Ph.D. candidate in Mechanical Engineering

 

  • Tarbiat Modares University
    M.Sc in 2014

 

  • Isfahan University of Technology
    B.Sc. at the  in 2011

At CAEAssistant.com, we collaborate with a distinguished group of researchers who bring a wealth of academic and industry experience to our platform. These experts are not only leading voices in their respective fields but also active contributors to cutting-edge research, with numerous ISI-indexed publications and industry-relevant projects under their belts. Their deep expertise in areas such as finite element analysis, composite materials, and advanced simulation techniques ensures that the courses they create are both academically rigorous and practically valuable. By learning from these accomplished professionals, our students gain access to the latest knowledge and insights, empowering them to excel in their careers and research endeavors.

Showing the single result

Inherent strain method in Metal Additive Manufacturing simulation (using subroutines and Python scripting in Abaqus)

 250.0

Additive Manufacturing (AM), a revolutionary layer-by-layer fabrication technology, is transforming how products are designed and manufactured. This comprehensive tutorial package focuses on the Inherent Strain (IS) method, a highly efficient numerical approach for simulating the Laser Powder Bed Fusion (LPBF) process in metal additive manufacturing. The detailed thermo-mechanical simulation of the Laser Powder Bed Fusion (LPBF) for complex geometric parts requires a large number of time steps to estimate residual stress and distortion, which is not computationally cost-effective. Furthermore, based on the large thermal gradient near the heat source, the mesh size must be sufficiently small to accurately predict the induced residual stress and distortion of the deposited layers in the heat-affected zone. Therefore, applying a coupled thermo-mechanical analysis for multiple laser scans with a fine mesh model to macro-scale simulation would incur excessively large computational costs.

Additionally, the large number of degrees of freedom for each element in the mechanical analysis leads to higher complexity as well as a longer amount of processing time. Detailed thermo-mechanical analysis for an industrial component is almost impractical since it would demand hundreds of terabytes of memory and years to calculate. Therefore, to overcome the huge computational burden associated with the numerical simulation of the LPBF caused by the infinitesimal laser spot size and thousands of thin layers with a thickness at the micron level, the Inherent Strain Method in additive manufacturing has been widely used in research and commercial software.

In this tutorial, the Inherent Strain Method additive manufacturing approach is presented both theoretically and practically in Abaqus. An agglomeration approach will be considered to transfer an equivalent inherent strain from both micro-scale and macro-scale modeling strategies. The implementation of this approach is explained step by step, accompanied by various workshops in micro-scale and macro-scale models for different geometries. This training package enables you to write your subroutine codes and Python scripting, as well as have more control over the LPBF process simulation.