• DEFORM-2D Scientific Forming Technologies Corporation 5038 Reed Road Columbus, OH 43220-2514 Tel: (614) 451-8330 Fax: (614) 451-8325 DEFORM-2D is a "state of the art" process simulation system based on Finite Element Methods (FEM) designed to analyze a wide range of metal forming processes. DEFORM provides vital information about the process during forging, extrusion, heading, piercing, rolling, coining, blanking, heat treatment, quenching, inertia welding, powder compaction and many others. DEFORM-2D is a powerful and mature tool to model complex processes where large deformation, multiple deforming bodies or other process conditions make a general purpose program inadequate. DEFORM-2D is extremely robust, yet easy to use. Its accuracy has been proven through years of validation by companies worldwide. The list of DEFORM users reads like a "who's who" in metal forming. The simulation engine is capable of analyzing large deformation and thermal behavior of multiple interacting objects during the metal forming processes. Comments? Rate It [ 0.00 / 0 Votes ]

• DEFORM-3D Scientific Forming Technologies Corporation 5038 Reed Road Columbus, OH 43220-2514 Tel: (614) 451-8330 Fax: (614) 451-8325 DEFORM-3D is a Finite Element Method (FEM) based process simulation system designed to analyze three dimensional (3D) flow of various metal forming processes. It provides vital information about material and thermal flow during forming processes. Typical DEFORM-3D applications include forging, extrusion, heading, rolling, cogging, bending and many others. DEFORM-3D is an ideal tool to model complex 3D material flow. It is not only robust, but also easy to use. Its simulation engine is capable of analyzing large deformation and thermal behavior of multiple interacting objects during the metal forming processes. An automatic mesh generator that generates an optimized mesh system wherever necessary is integrated in the system. This facilitates the generation of finer elements in regions where greater solution accuracy is required, thus reducing the overall problem size and computing requirements. Comments? Rate It [ 0.00 / 0 Votes ]

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