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Altair SimLab 2024.1 (x64) - Printable Version

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Altair SimLab 2024.1 (x64) - nieriorefasow63 - 10-13-2024

[Image: afd44dc446c01f12ac542b7470243073.jpg]

Altair SimLab 2024.1 (x64)

File Size: 9.8 GB


SimLab is a process-oriented multidisciplinary simulation environment to accurately analyze the performance of complex assemblies. Multiple physics including structural, thermal and fluid dynamics can be easily setup using highly automated modeling tasks, helping to drastically reduce the time spent creating finite element models and interpreting results. Altair's robust, accurate and scalable solvers can run either locally, on remote servers or in the cloud.

An intuitive and self-explanatory graphical user interface covers all aspects of the modeling process. Instead of tedious geometry clean-up, work is performed directly on the geometry - imported and updated via the bi-directional CAD coupling - by defining mesh specifications for individual regions.

Key Features
Robust, Repeatable Simulation Workflows
Increase efficiency of simulation cycles with shareable, robust, and repeatable simulation workflows. Eliminate manual solid meshing, model setup, solver execution and post-processing for high accuracy and consistency across the organization.

Intuitive User Environment
Solve statics, dynamics, heat transfer, fluid flow, and electromagnetic problems in minutes directly from within SimLab's intuitive user environment.

Live Syncing to Parametric CAD
Rapidly explore and evaluate design changes on-the-fly with live synching to popular parametric CAD systems including CATIA, Pro/E Siemens NX, and SolidWorks.

Automation: DOE/Optimization
Automation enables easy setup of results and convergence, DOE, and Optimization.

Comprehensive Solver Support
A common environment across pre- and post-processing with interfaces to several common FE solvers enables users to be versatile even when projects require to work with various tools.

Multiphysics
SimLab enables efficient model setup of multidisciplinary, and multiphysics problems including co-simulation of disciplines, such as structural, CFD, electromagnetics, and thermal analysis.


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