What Is the Future of Simulation Software?

AI and machine learning have a big role to play in the year ahead, as many other businesses and innovations.

Fremont, CA: In recent years, simulation software has made huge strides forward and that trend will continue in 2020. There will be a number of defining changes in the year ahead that will stand out as notable software innovations and their impact on the industry.

AI and Machine Learning

AI and machine learning have a big role to play in the year ahead, as many other businesses and innovations. There is a strong potential for simulation to use AI and machine learning to complete simple processes and administration to save time or simplify procedures for engineers. One such field is the setting of parameters.A machine learning engine can track the use of simulation instruments by senior engineers, including how they use it and what parameters they set, to then replicate this accurately to a degree for less experienced engineers and allow them to use the tool.

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AI and machine learning can make it more available for an aerospace company with hundreds, perhaps thousands of employees, of which only 5 percent can actually use simulation technology, so maybe 15-20 percent of employees will use it. Clearly, for that company, which can now devote more time and energy to the simulation process, without the need to recruit more senior engineers, this is a win.

Multiphysics Interactions

Multiphysics has roots dating back 50 years as a term. It has faced many obstacles as it has progressed, and today there are interactions between the various tools of physics. Historically, an engineer will use multiple simulation methods for physics to solve a number of design problems with a single product.As an example, take a computer chip: you can simulate a chip's heat, then examine how it affects the circuit board on which it is located, and then find a solution to how the chip is cooled to prevent the circuit board from cracking.