Foundries that utilize sand cores and molds know that consistent core quality is a prerequisite for achieving controllable casting quality. CPFD’s Arena-flow is the industry standard software used by the global metal casting community to simulate, understand, and optimize core making processes resulting in maximized quality at minimized cost.
Arena-flow is trusted by OEMs, foundries, and tooling suppliers the world over, enabling them to:
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Arena-flow was designed from the ground up to capture discrete sand filling physics to accurately simulate core blowing/shooting and curing behavior which is difficult (or impossible) to predict using adaptations to metal flow and solidification software. It is best suited for high-complexity, high-volume cores made via the following processes:
Process Modeling: Sand Core Blowing*, a publication presenting Arena-flow’s early capabilities, won the 2003 AFS Howard F Taylor Award from the American Foundry Society in recognition of the paper having the greatest long-range technical significance in the field of cast metals technology. Over two decades later the impact of Arena-flow is still going strong!
* Authors: Ken Williams and Dale Snider from Arena-flow, Mike Walker and Sheila Palczewski from General Motors
Cylinder Head Water Jacket Blowing Simulation
Cold Box Curing Validation
Simulation Including Multiple Cores and Sand Magazine
CPFD Software is pleased to announce that we are now the global provider of the Arena-flow Sand Core Engineering CAE software product, including responsibility for software development, licensing, support, training and services.
About This Video From the Conditioning Tower Application Model.
Arena-flow is used to simulate the filling of an automotive cylinder head water jacket core through an integrated core print.
This video demonstrates the validation of Arena-flow’s cold box curing model using transparent tooling.
This paper presents validation and application of Arena-flow for sand core blowing and curing processes.
In this paper by Dale M. Snider, granular flow of three granular flow experiments is predicted by a CPFD numerical scheme in three dimension using the true particle size distribution.