Top 5 SIMULIA Best Practices for March 2023

As we have recently started the New Year, it’s a great time to relook at the Top 5 SIMULIA Best Practices for March 2023.

This list contains the most viewed and downloaded SIMULIA Best Practices for March 2023 that have been published in Knowledge Base.



Rank

Best Practice

1

Using the Physics Simulation Adapter in Process Apps

2

Automating Plastic Injection Design Exploration in 3DEXPERIENCE

3

Methods Development Using Multidisciplinary Optimization Engineer Role

4

Simulation Using the Iterative Solver Technology in Abaqus

5

Flexible Multibody Simulation


1. Using the Physics Simulation Adapter in Process Apps

The Physics Simulation adapter allows the user to execute the simulation object in the Process Composer applications. Using this adapter, the user can change the input parameters such as dimensions, load, and so on, and execute the simulation object to update the result parameters. This adapter gives an option to create new branches of the original simulation object for each run.

This document gives an overview of the Physics Simulation adapter and focuses on the following points:

• Advantages of mode selection for the execution

• Branching of the Simulation Object and its Lifecycle

• Best practices for configuring the adapter

• Best practices to troubleshoot the adapter related issues


Target Audience: Simulation Expert, Method Developer.





2. Automating Plastic Injection Design Exploration in 3DEXPERIENCE

This Best Practices document describes how design exploration of a plastic part design based on a Plastic Injection Mold analysis can be democratized across an organization and used in the decision-making process to arrive at an alternative design that satisfies the design requirements.

The design exploration is conducted using Design of experiments (DOE) which is defined as a branch of applied statistics that deals with planning, conducting, analyzing and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters.

Finally, the results of the executed design exploration are analyzed in the SIMULIA Results Analytics Widget to select an alternative that satisfies the requirements for the end user.

Targeted Audience: Plastic Product Designers, Design Engineers and Methods Developers.





3. Methods Development Using Multidisciplinary Optimization Engineer Role

The 3DEXPERIENCE (3DX) platform is a collaborative environment that empowers businesses to innovate in entirely new ways. It provides organizations with a holistic, real-time view of their business activity and ecosystem, connecting people, ideas, data, and solutions in a single environment.

Packaging is often the first interaction consumers have with a product. It influences consumer decisions, brand perception, and product usability. Good packaging is aesthetically pleasing, safe, sturdy, reliable, user-friendly, and able to withstand the rigors of the supply chain. When designing the packaging, the engineers are tasked to reduce the material and weight, and also optimize the operational performance.

Target Audience: Design Engineers, Simulation Analysts, Methods Developers, Structural Engineers, and Fluid Engineers.





4. Simulation Using the Iterative Solver Technology in Abaqus

This document describes best practices for a new, state-of-the-art iterative linear equation solver in Abaqus/Standard and the 3DEXPERIENCE structural simulation apps.

The new solution capability is based on an original, unpublished proprietary algorithm developed for reliability and efficiency. A scalable parallel implementation results in a very fast, low memory consumption solver well suited for very large models.

The iterative solver is best suited to models with certain characteristics. This Best Practices document provides usage guidelines and strategies to help you best use this technology. This document is applicable to all releases from 3DEXPERIENCE R2022x and above.

Target Audience: Structural and Mechanical Analysts that develop large, computationally intensive finite element models.





5. Flexible Multibody Simulation

SIMULIA Simpack is a Multibody Simulation (MBS) software for dynamic analysis of mechanical systems. Multibody Simulation allows an analyst to study the kinematic behavior of a system or to identify forces acting between two components at a much lower computational cost than a Finite Element Analysis.

Flexible Multibody Simulation is an elegant approach that combines the benefits of the traditional MBS approach with the high fidelity provided by the Finite Element method.

This document provides an overview of model reduction techniques, preparation of FE model, types of couplings, substructure generation steps, quality check of FBI files, and the best solver settings suitable for Flexible Multibody Simulation.

Target Audience: Analysts, Consultants and Tech Support.


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