Hossein Mohammadtaheri

LinkedIn Profile

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

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  • 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.

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

 250.0

This tutorial package focuses on the Inherent Strain method in Abaqus, an efficient numerical approach to simulate Laser Powder Bed Fusion (LPBF) in metal additive manufacturing.

It addresses the high computational cost of detailed thermo-mechanical LPBF simulations by utilizing an agglomeration approach to transfer inherent strain from micro to macro-scale models. Through theoretical explanations and practical workshops, users will learn to implement the ISM method, including Dflux and USDFLD subroutine coding and Python scripting, for improved LPBF process simulation control. This product does not utilize AM plugins, making it ideal for users who prioritize transparency in calculation methods and flexibility in variable modification for similar models.

Additive manufacturing simulation with Abaqus subroutine & python | Inherent Strain Method

 350.0
(5)
3D printing is a technique for creating three-dimensional objects by layering materials such as plastic or metal based on a digital design. 3D printing simulation involves the use of software to predict and enhance the printing process, resulting in more efficient and precise production. This training package is based on the use of subroutines and Python scripting. Following an introduction to the 3D printing process, this method with all its details is explained. Two workshops are then conducted for this method. The first workshop covers 3D printing simulation of a gear with a uniform cross-section, while the second workshop covers a shaft with a non-uniform cross-section.