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Case study on the efficiency improvement of the high-performance elastomer seal development process using AI predictions.

Case study on the efficiency improvement of the high-performance elastomer seal development process using AI predictions.

To maximize the performance of the elastomer seal at high temperatures, I want to minimize the compression set while maintaining elongation at the breaking point.

We would like to introduce a case study of a customer in the elastomer seal product industry who has implemented "Polymerize." 【Customer Company Overview】 ■ Number of Employees: 100-1000 ■ Main Products: Seal Manufacturing (Elastomers) ■ Location: Japan, USA 【Challenges】 In recent years, there has been a strong trend for seal products to be used in various harsh environments. From high-temperature, high-pressure steam and acidic gas environments in oil refining processes to plasma processes in the semiconductor industry, the mechanical performance requirements for seal products have increased. The performance of the product is greatly influenced by the component ratios and formulations during compounding. In this case study, the customer aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the break point and minimizing compression set. After a standard three-month trial, the customer experimentally introduced Polymerize. *For details on solving challenges, please download the catalog or feel free to contact us.

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Introduction of product development examples utilizing AI [Polymerize case study]

Introduction of product development examples utilizing AI [Polymerize case study]

Introducing a case where we successfully streamlined and shortened the development of high-performance elastomer seals using AI predictions! Minimizing the processes necessary to achieve development goals!

We would like to introduce a case where our customer in the elastomer seal product industry implemented "Polymerize." The company aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the breaking point and minimizing permanent compression strain. In the initial proof-of-concept process, we confirmed that the system could meet the desired performance in 4 out of 5 experiments proposed by the system. [Challenges] - Establishing the optimal combination of components and synthesis methods to ensure efficiency and quality. - Seeking an AI solution that supports the development of new products while minimizing setbacks from a trial-and-error development process. *For more details, please refer to the PDF document or feel free to contact us.

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Reduce man-hours by 50% compared to the trial-and-error development process.

Reduce man-hours by 50% compared to the trial-and-error development process.

A must-see for companies that want to develop new products while minimizing setbacks through a trial-and-error development process!

We would like to introduce a case study of a customer in the elastomer seal product industry who has implemented "Polymerize." 【Customer Company Overview】 ■ Number of Employees: 100-1000 ■ Main Products: Seal Manufacturing (Elastomers) ■ Location: Japan, USA 【Challenges】 In recent years, there has been a strong trend for seal products to be used in various harsh environments. From high-temperature and high-pressure steam and acidic gas environments in the oil refining process to plasma processes in the semiconductor industry, the demands for mechanical performance of seal products have increased. The performance of the product is greatly influenced by the component ratios and formulations during compounding. In this case study, the customer aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the break point and minimizing compression set. After a standard three-month trial, the customer experimentally introduced Polymerize. *For more details on solving challenges, please download the catalog or feel free to contact us.

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