ESI honored at NUMISHEET 2011 conference in Korea
2011年11月7日
Paris, France
For most accurate predictions of Drawing & Ironing processes with PAM-STAMP 2G
ESI Group, pioneer and world- leading solution provider in virtual prototyping for manufacturing industries, announces that NUMISHEET has recognized ESI engineer Jan Novy for his latest simulation results using ESI’s Sheet Metal Forming Simulation Suite, PAM-STAMP 2G.
The 8th NUMISHEET conference was held in June in Seoul, Korea, bringing together scientists, engineers and industrial users in the field of the numerical modeling of sheet metal forming processes. Held since 1989, this year the conference addressed challenges associated with lightweight and high strength materials; increasingly needed to help industries move to greener technology.
Jan Novy, ESI metal forming expert based in the Czech Republic, obtained the best results in part of the NUMISHEET Benchmark study, which tested the accuracy of simulation against experimental results He ranked first among 10 participants with his report entitled “Simulation of Earing Evolution during Drawing and Ironing Processes”.
For this simulation work, Jan Novy used the Vegter material model: a highly accurate material model developed by Tata Steel in Holland to address the need of the global automotive industry for an improved material model to support simulation of metal forming processes.
Jan Novy also used the newly developed Through Thickness Stress Element (TTS) of PAM-STAMP 2G to better predict the ironing process. Together with the Vegter model, TTS enabled an accurate prediction of the springback after ironing.
About PAM-STAMP 2G
PAM-STAMP 2G, ESI’s sheet metal forming solution for automotive, aerospace and general sheet metal forming applications, takes into account the entire tooling process and provides trade-oriented virtual manufacturing.
PAM-STAMP 2G Version 2011 extends the scope of sheet metal forming process simulation beyond standard stamping. For this latest release, the following areas were especially extended: hot forming including metallurgy and cooling, line die simulation including flanging with ironing, springback after hemming, and optimization.
More information about Sheet Metal Forming prediction can be found on the Tata Steel Automotive website that highlights current challenges and solutions for the automotive industry. “In the automotive industry, formability analyses using PAM-STAMP 2G can help reduce the cost and time of new vehicle development. It can also help optimize manufacturing processes.”