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Friday, June 19, 2015

ESI presents its Casting Simulation Suite ProCAST 2015 at GIFA

ESI Group announces its participation in GIFA, June 16 - 20, 2015 in Düsseldorf, Germany. The 13th edition of the world's most important International Foundry Trade Fair provides the perfect opportunity for ESI to showcase the latest advances of its flagship casting simulation software ProCAST, created 25 years ago. Founded on the physics of materials, ESI's solutions help manufacturing companies test their products virtually; eliminating the need for physical prototypes by virtually building and testing prototypes of components, parts or even complete products. Not only do ESI's numerical solutions help industrial clients manage product performance, they also help companies save time and money during product design and development.

Celebrating its 25th birthday this year, ESI's Casting Simulation Suite, ProCAST, provides a complete set of solutions for the foundry industry. ProCAST enables predictive evaluations of the entire casting process, including filling and solidification defects, mechanical properties and complex part distortion. It enables rapid visualization of effects of design changes and provides a basis for correct decision-making, from the earliest stages of the manufacturing process design. ProCAST enables the modeling of all casting processes for all castable alloys, and also addresses other foundry relevant manufacturing processes like core blowing & heat treatment.

During the GIFA tradeshow, visitors to ESI's booth have the opportunity to receive a complete overview of ESI's latest advances in casting process simulation with the newly released ProCAST 2015. Along with other important developments, the new version of the solution embeds the QuikCAST solver into Visual-Environment, enabling consistent user access to two different technologies, Finite Element Method (FEM) and Finite Difference Method (FDM), from a single platform. ProCAST 2015 also introduces an Optimization solver which allows users to set-up Design of Experiments (DOE), to test for robustness and to optimize their casting processes, aided by standard intuitive workflows.

To view the original press release, please click here.

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