Filtered results

17 result found




  • Engineer working in Optimization Module of COMSOL

    Structural Optimization with COMSOL Multiphysics

    Explore COMSOL’s Optimization Module for enhanced engineering designs. This video provides a quick overview of COMSOL Multiphysics, spotlighting mechanical modeling and optimization tools. The presentation includes a live demonstration of a straightforward stress/strain optimization of a mechanical component subject to static loading and more.

  • 5 unusual simulations in comsol multiphysics

    5 Unusual Simulations in COMSOL Multiphysics

    This blog lists five unusual and unique simulations carried out in COMSOL Multiphysics, illustrating the comprehensive capabilities of the software and the fascinating side of modeling and simulation for science, research, and engineering.

  • Real-Time Simulation and Testing with Simulink and Speedgoat

    In this blog and inserted video, recorded at the SciEngineering Conference 2022, we delve deeper into the world of Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) testing and how RCP and HIL testing can be utilized to detect design flaws early in the development process.

  • COMSOL Multiphysics Battery Design Module interface

    Battery Pack Design in COMSOL Multiphysics

    Discover COMSOL Multiphysics’ capabilities for monitoring the temperature distribution of a battery pack. See how you can optimize battery design in the development cycle using the Battery Design Module.

  • Ai robotics working on a car

    AI: Driving the Industry Towards Greater Success

    Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.

  • MATLAB and Simulink for Artificial Intelligence

    Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.

  • Excitation Signals for Identification of Dynamic Systems

    Excitation Signals for Identification of Dynamic Systems

    Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.