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  6. Seminar: Impact of High-Precision Material Properties on Press Forming Analysis Results

Seminar: Impact of High-Precision Material Properties on Press Forming Analysis Results

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PAM-STAMP

last updated:Jul 25, 2022

日本イーエスアイ
日本イーエスアイ
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Online Seminar: Lecture by Professor Susumu Takahashi from Nihon University, Faculty of Industrial Engineering! A must-see for those who want to deepen their knowledge of material properties that affect molding results.

As the shift towards carbon neutrality accelerates with the adoption of electrification, the use of high-strength steel sheets for weight reduction has become more widespread. Additionally, the utilization of press forming analysis has become commonplace, and there are now many phenomena to consider in the analysis. In this context, many may wish to deepen their understanding of the material properties that influence forming results, or are struggling with how to improve the predictive accuracy of analyses without conducting various material tests. In this seminar, Professor Susumu Takahashi from Nihon University’s Department of Production Engineering will give a main presentation titled "Challenges of Applying High-Strength Materials to Automotive Parts and Press Forming Analysis," where he will explain the impact of material properties on press forming analysis results. Additionally, a sub-presentation will be given by ESI, discussing the improvement of predictive accuracy in analysis using tools that predict advanced material property parameters. We encourage you to join us. <Online Seminar Overview> 【Date】: August 26, 2022 (Friday) 14:00 - 15:00 (60 minutes including Q&A) 【Cost】: Free (Pre-registration required) 【Target Audience】: Those using press forming analysis software, not limited to PAM-STAMP, or those considering its introduction 【Capacity】: 100 participants

    Other CADOther CAM related softwareStructural Analysis
高橋先生ご講演資料抜擢.jpg

Seminar: Impact of High-Precision Material Properties on Press Forming Analysis Results

高橋先生ご講演資料抜擢.jpg
高橋先生ご講演資料抜擢.jpg
  • Related Link - https://www.esi-group.com/jp/events/2022/stamp-web…

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PAM-STAMP is a press forming analysis software that faithfully reproduces the molding process and supports the efficiency and high quality of press die design. It achieves high-precision and high-speed simulations for evaluations of cracking and wrinkling, as well as springback in high-strength materials. Additionally, it supports die designers with various functions, including die projections considering springback and forming simulations that take die deformation into account. 【Supported Processes】 ■ Cold Forming - Thin steel sheets, aluminum, stainless steel, titanium, magnesium, etc. - Medium-thick steel sheets (press plate forging) - Supports various processes - Single / double / triple action - Trimming process - Cam forming - Foam forming (with blank pressing and pad pressing) - Single-step to multi-step (tandem, transfer, progressive) - Tailored blanks ■ Hot Forming - Hot forming - Superplastic forming ■ Tube Hydroforming - Various bending forms - Hydroforming ■ Special Processes - Multi-stage roll forming - Stretch bending - Roll hemming (robot hemming) *For more details, please download the catalog or contact us directly.

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■Applicable fields: General sheet metal press parts - Advance understanding of defects - Visualization of press plans - Reduction of trial man-hours

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Press forming analysis software "PAM-STAMP"

Press forming analysis software "PAM-STAMP"

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日本イーエスアイ

日本イーエスアイ

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ESI Group is a leading company in "virtual prototyping," providing innovative solutions and services focused on "materials physics." We have developed unique solutions that enable the replacement of physical prototypes and experiments with virtual design, manufacturing, assembly, testing, and evaluation. Leveraging today's cutting-edge technology, ESI's virtual prototyping addresses performance evaluation throughout the product lifecycle, from the start of use to the end of life, proposing a broader concept: Product Performance Lifecycle (TM). This is achieved by creating a Hybrid Twin (TM) that utilizes simulation, physics, and data analysis, allowing for smarter product development, maintaining a connection with the actual product, and enabling performance predictions and maintenance timing throughout the product's usage period.

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