A case where the internal flow field and temperature distribution of the battery pack were predicted with one click!
We would like to introduce the application examples of AI predictive analysis and AI high-speed analysis of our intelligent thermal fluid analysis software "AICFD." This software supports the establishment of a design process that combines design, analysis, and optimization in industrial fields, significantly improving the efficiency of product development. It performs aerodynamic analysis of automobiles using the AI-accelerated analysis function, comparing three cases including the standard analysis results. You can check the detailed content of the case studies through the related links. 【Case Overview (Partial)】 ■ AI Predictive Analysis of Battery Pack Flow Field Temperature - Based on 10 sets of analysis samples in the opposing wind speed range of 10 to 30 (m/s), it predicts the internal flow field and temperature distribution of the battery pack at an opposing wind speed of 20 (m/s) with one click. - The results of the predictive analysis are compared with the results of the standard method. *For more details, please download the PDF or feel free to contact us.
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【Summary of Other Cases】 ■ AI Accelerated Analysis of Automotive Aerodynamics - Conducted aerodynamic analysis of a vehicle using the onboard AI accelerated analysis function, comparing three cases including the standard analysis results. - Case 1: AI acceleration function off - Case 2: AI acceleration function on: acceleration starts from 100 steps, with a 20-step jump every 10 steps - Case 3: AI acceleration function on: acceleration starts from 100 steps, with a 35-step jump every 10 steps *For more details, please download the PDF or feel free to contact us.
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Our company focuses on the development, sales, and support of various CAE software with "AI x Optimization" as a key concept, and we offer a wide range of services including contract analysis and consulting. The software we provide can also be customized according to our customers' requests. We aim to contribute to manufacturing by providing better products and services in product development, design, and research.
