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Pawan Soami

Technical Product Manager

COMSOL Multiphysics

3 Ratings

DIGITALISATION There is increased interest in predicting noise generated from electric machines

Feb 14, 2020

…says Pawan Soami, Technical Product Manager, COMSOL Multiphysics, in this interaction with Alok Kumar. Soami throws light on modeling with the Composite Materials Module, the COMSOL Compiler™ released by the company and how simulations are getting more popular. Excerpts…

Can you highlight the significance of COMSOL Conference 2019?

The COMSOL Conference presents a unique opportunity for attendees to exchange ideas and interact with other users and technical experts of COMSOL. It offers minicourses on over 25 topics, user presentations, panel discussions, keynote talks, and a poster session with over 50 posters encompassing different multiphysics applications.

What are the new trends in Multiphysics and new applications?

COMSOL Multiphysics® is a pioneer in multiphysics simulation. Applications such as thermal management of Li-ion batteries and battery packs, and Structural Thermal Optics Performance (STOP) analysis of optical devices can be easily and accurately modeled in the software. As the automotive industry is moving towards the electrification of automobiles, there is increased interest in predicting and mitigating the noise generated from electric machines. Lightweighting is another important aspect in vehicles, which brings modeling of composite materials into focus.

Can you tell us more about modelling composite structures for improved product design? What are the trends in the smart composite materials? What can you model with the Composite Materials Module?

Composite modeling is relatively new in COMSOL, and the previous version 5.4 first introduced the Composite Materials Module. The module offers various in-built interfaces, preprocessing and post-processing tools for modeling the laminated structures of fibre composites. Users can model any composite laminates or sandwich panels, analyse them with layer-wise theory or equivalent single layer theory and perform multiphysics problems or multiscale problems with the help of this module.

Can you brief us on the tools for designing and optimising multibody systems?

COMSOL® provides an advanced set of tools for designing and optimising multibody systems. The Multibody Dynamics Module enables users to simulate mixed systems of flexible and rigid bodies, where each body may be subjected to large rotational or translational displacements. Such analyses help users in identifying critical points in multibody systems, thus enabling them to perform more detailed component-level structural analyses. This module also gives you the freedom to analyse forces experienced by segments of the structure, and stresses generated in flexible components that may lead to failure due to large deformation or fatigue.

Which are the industry segments that COMSOL is targeting globally and in India for the latest version of Multiphysics software?

COMSOL being a general-purpose tool, finds use in a wide variety of industries and applications. With the latest version, the software’s reach continues to grow in the automotive, heavy electrical, aerospace and defense, oil and gas, and renewable energy sectors, to name a few, both globally and in India. Another revolutionary functionality that is gaining popularity in India is the COMSOL Compiler™, which enables users to create standalone executables that can be shared with anyone, without needing access to a COMSOL license.

How challenging is it to make the industry receptive to scientific modeling, especially the manufacturing industry?

It can be a challenge for someone habituated with experimentation to adopt simulation techniques. However, most industries have gained confidence in the accuracy and efficacy of simulation tools. Although simulation cannot be looked at as a replacement for experiments, it offers a time- and cost-effective alternative such that the design optimisation can be done with simulation. The manufacturing industry, too is relying more on simulation and then validating the findings with experiments.

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