Participants can expect to learn the following:

1. Understanding Metal Additive Manufacturing and LPBF:

   • Gain insights into Metal Additive Manufacturing (AM) technologies, with a focus on the LPBF process.
   • Explore the thermal and mechanical phenomena occurring during LPBF and the challenges associated with simulating these processes.

2. Introduction to the Inherent Strain Method (ISM):

   • Learn the significance and applications of the Inherent Strain Method in predicting residual stresses and distortions in metal AM.
   • Understand the theoretical background and methodology of ISM, including its advantages over traditional thermo-mechanical simulations.

3. Simulation Workflow and Practical Application:

   • Engage in micro-scale simulations to extract inherent strain values.
   • Apply ISM to large-scale models for predicting residual stresses and distortions.
   • Utilize Python scripting and Fortran subroutines to enhance simulation accuracy and efficiency.

4. Workshops and Hands-On Experience:

   • Participate in step-by-step workshops that guide you through real-world applications of ISM in Abaqus.
   • Develop practical skills in conducting both micro and macro-scale simulations.

This tutorial is designed for engineers and researchers aiming to refine their simulation skills in metal additive manufacturing, providing a cost-effective and efficient alternative to full thermo-mechanical modeling.

This course is suitable for individuals who have a basic understanding of Abaqus and are looking to learn it at a more advanced level. The target audience includes Master’s and Ph.D. students, university professors, researchers in research institutions, and engineers in companies that require advanced simulations for production. This course is taught by an expert, providing theoretical details and step-by-step implementation in Abaqus.

This product is the result of a doctoral thesis—years of dedicated research distilled into an advanced, cutting-edge resource. It covers unique topics that have no comparable alternatives. Additionally, its specialized nature means it is not intended for general, entry-level use, where lower prices might be more common.

Now, consider this: if your own years of expertise and research were turned into a product, at what price would you be willing to sell it?

In fact, with this payment, you are saving yourself hours of time spent searching for credible articles and simulating coding, watching hours of pointless videos on YouTube, and trial and error in software to achieve similar results. The value of those hours is certainly far greater than this amount.

You may find competitors offering similar products at lower prices. However, many of our customers come to us after trying those options, realizing they received incomplete, low-quality content, unverified, inaccurate or sometimes wrong that didn’t truly help them.

What sets our tutorials apart is the depth of knowledge, step-by-step simulations, and carefully structured theoretical explanations. Every detail is meticulously crafted using the highest-quality materials to ensure a superior learning experience.

Ultimately, those who truly understand the value of this product recognize that its price is not just reasonable—it’s a worthwhile investment.

We fully and unconditionally guarantee your satisfaction with the content due to issues such as problems using the files, discrepancies between the training and the syllabus presented, and details stated on the product page. You can submit your refund request up to 15 days after purchase.

By purchasing this package, you will get access to the following:

• A 5-hour training video including, theory and simulation, with human generated error free caption, Step-by-step simulation and block by block code explanation, which is coded and can only be played on the exclusive CAE Assistant player.
• The validation section, which compares and confirms the methodology and simulation method with scientific articles (papers).
• All simulation files, including INP files and USDFLD and DFLUX subroutines used in different models, and ODB files.
• All Python codes and a video explaining these codes block by block.