Significantly reduce 3D CAD simulation time! Labor cost reduction using AI.
Aries Series "3D Surrogate Model"
A must-see for 3D CAD engineers in the automotive, machinery, and electronics fields! Significantly reduce analysis execution time by utilizing AI models in simulations!
The "3D Surrogate Model" is a product developed with the intention of training AI using simulation results obtained from existing CAE analysis solvers, and then using the trained AI model to conduct similar simulations. By utilizing AI for simulations, it significantly reduces computation time and, due to its reliance on simple multiplication, prevents analysis results from halting due to divergence. Additionally, it can directly learn from the mesh as an AI model, allowing features such as material properties and edge lengths to be represented. 【Features】 ■ Significant reduction in analysis execution time ■ Stability of analysis processing ■ Improved ease of use ■ Reduction in analysis resources *For more details, please refer to the PDF materials or feel free to contact us.
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【Other Features】 - By being freed from routine tasks, you can engage in more creative work. - It takes less time as it infers from past results. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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In the manufacturing industry, the use of three-dimensional data such as 3D CAD data is becoming widespread, but in AI, the use of two-dimensional data is mainstream, and the use of three-dimensional data is still not in sight. Our company is considering how to make better use of 3D CAD data in the manufacturing industry and contribute to improving QCD, and we are conducting research and development on three-dimensional shape recognition technology using AI and deep learning. Based on the latest AI research results, our company has successfully developed a three-dimensional AI model that can recognize three-dimensional shape data. With this groundbreaking three-dimensional AI technology, we will spread three-dimensional AI throughout the engineering chain centered on CAD, CAM, and CAE, contributing to the improvement of QCD. Moreover, three-dimensional AI is a new technology, and its potential is limitless. We will promote research and development of three-dimensional AI and spread this pioneering three-dimensional AI technology not only in the manufacturing industry but also in many other industries, contributing to the improvement of QCD.
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