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Example: Press Processing - Optimization of Press Processing Conditions

Optimize the press processing conditions to improve wrinkle height and strain.

Press processing is a method used in the manufacturing of various industrial products, including automobiles. Since this press processing is often used for mass-produced products, it is desirable to thoroughly examine the processing conditions in advance using CAE. In this case, we optimized the processing conditions by linking the general parameter optimization software "AMDESS" with the explicit dynamic analysis software "Abaqus/Explicit Student Edition" (from SIMULIA, USA). We added recommended points based on the density of the data points we had previously investigated! We devised a way to avoid falling into local solutions. As a result, we achieved a maximum equivalent plastic strain reduction of 9% while satisfying all constraints. [Analysis Model] ■Blank - Number of nodes: 505 - Number of elements: 400 - Young's modulus: 2.1×10^11 [Pa] - Poisson's ratio: 0.3 *For more details, please refer to the PDF document or feel free to contact us.

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Construction of Reaction Condition Exploration for the Chemical Industry 'Design-Expert'

A tool for constructing experimental plans to optimize reaction condition exploration.

In the chemical industry, exploring reaction conditions requires finding the optimal combination of multiple factors (such as temperature, pressure, and catalyst amount) to achieve the desired yield and purity. Since these factors interact in complex ways, trial-and-error exploration of conditions becomes a time-consuming and costly challenge. "Design-Expert" supports efficient and comprehensive experimental design and analysis to address these challenges, aiding in the discovery of optimal reaction conditions. 【Usage Scenarios】 - Optimization of conditions in the development of new reactions - Improvement of yields in existing processes - Suppression of by-products - Examination of conditions for scale-up 【Benefits of Implementation】 - Cost and time savings through a reduction in the number of experiments - Early discovery of desired reaction conditions - Improvement in product quality - Increased efficiency in research and development

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