Simulation assesses materials and evaluates uncertainty, which eliminates both over-and under-engineering of products and services.
FREMONT, CA: Simulation software has gained popularity over the last few years, transforming industries and presenting innovative developments in the software. Here are five major simulation software trends:
Microservices for Simulation
There will be changes in fundamental parts of simulation from a single extensive process to separate dedicated components such as geometry services, meshing services, solver services, and post-processing services.
These services will be utilized by various products, integrating with each other via application programming interfaces (APIs) and operating on cloud computing, which will lead to more accessible, versatile, and reusable to do a variety of tasks.
AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are used in the simulation to perform basic processes and administration to help engineers save time or streamline it. An ML engine can track senior engineers’ simulation tool uses to correctly recreate this to a degree for less experienced engineers and allow them to use the tool.
Digital Transformation
By digitally transforming operations, manufacturers can coordinate their activities from the design, manufacturing, sale, to track and trace each process. This will helps trace back to the original simulation design if there are any problems, review it and identify the issue.
(Hyper) Scale-Up Simulation
In the hyper-scale, all forms of algorithms, GPU, SMO, MPI, and take based are used on exascale supercomputers. This enables customers to tap into hyper-scale simulations and carry out simulations which is run on more cores and take only a few minutes or a few hours to complete.
Predictive and Robust Design
Robust design through simulation prevents uncertainties. Simulation assess materials and evaluate uncertainty, which eliminates both over-and under-engineering of products and services. Materials intelligence helps to understand material variables and the ability to assess the ideal factor of safety.
