We will accelerate design and development using AI based on accumulated experience!
Are there any challenges like these in the field of design and development? - A vast amount of trial and error in product design - Lack of product design and technology transfer relying on skilled workers - Having data but struggling with how to utilize it By introducing "WALL," the following becomes possible! - Instant calculation of optimal design through machine learning - Optimization of parameters through machine learning The following benefits can be expected from implementation! - Significant reduction in design man-hours and prototyping costs - Elimination of dependency on individuals through data-driven product design
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Flow until implementation Hearing the current situation ↓ Confirmation of the data you have ↓ Proposal for WALL ↓ Implementation onboarding ↓ Usage
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Applications/Examples of results
- Development of a method for predicting the material strength of new materials using carbon fibers for aerospace applications - Establishment of a strength evaluation method using informatics technology for highly flexible hoses - Development of an automatic optimal design method for high-pressure hydrogen tanks used in fuel cell vehicles and other applications
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SUPWAT provides services for research and development professionals in the manufacturing industry. Based on insights from mechanical engineering, we assess what could become a characteristic value, what to learn, and what outputs can be expected, all from a perspective that anticipates development and manufacturing, allowing us to propose machine learning solutions. We have many excellent members not only in mechanical engineering but also in machine learning, enabling us to consider suitable proposals for your company from various perspectives.
![[EzAvater Implementation Case] Design Fill Co., Ltd.](https://image.mono.ipros.com/public/product/image/e6c/2000592131/IPROS63239057564677577408.png?w=280&h=280)
