CAE.CFD.FEA
ESI ProCAST 2021.5
ESI has developed a set of casting simulation software applications for the foundry industry to improve casting yield and quality: QuikCAST -- a fast and efficient solution for process evaluation -- and ProCAST -- an advanced tool which is the result of more than 25 years of collaboration with major industrial partners and academic institutions around the world. QuikCAST is sophisticated sand and die casting simulation software that focuses on the basics of any casting process: filling, casting solidification and porosity prediction.
ProCAST, based on Finite Element technology, in addition to the basics is able to predict deformations and residual stresses and can also address more specific processes like investment casting, semi-solid modeling, core blowing, centrifugal casting, lost foam, and the continuous casting process. Useful for all castable alloys, the metal casting simulation software helps to address defect detection, residual stresses, part distortion, microstructure and mechanical properties prediction. In 2006, ProCAST received the European Technology Leadership of the Year Award from Frost & Sullivan.
Virtual Environment
Enhancing the product design, improving its performance and faster go to market strategies are an absolute necessity for each and every product in today’s times. CFD, Multiphysics and Electromagnetics analysis in the virtual environment software helps many industries, research departments to bring a better product to the market by real life simulation of the design and testing it in all possible conditions before finalizing the prototype.
PAM-OPT is the solution to optimize and automate costly and time-consuming trial and error design and manufacturing.
When following the conventional approach, engineers iteratively use simulation or analysis software to check design performance. Once this is completed, they move on to analyze the results, make decisions, change the model and check again the new design until an optimal solution is reached.
PAM-OPT automates this loop, handling the decision-making concerning design changes and the job submission process on a network of computers.
PAM-OPT uses a series of algorithms which make decisions relative to design changes. PAM-OPT manages compute model parameterization, and launches pre-processing, solver and post-processing software modules.
By leveraging available computer and manpower resources, PAM-OPT helps manufacturers design better products with a reduced time-to-market.
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