Paris, France, and Providence, R.I., USA, September 18, 2007 – Dassault Systèmes (DS) (Nasdaq: DASTY; Euronext Paris: #13065, DSY.PA), a world leader in 3D and Product Lifecycle Management (PLM) solutions, today announced that KTM Sportmotorcycle AG, the premium brand in the off-road sport motorcycle market and second largest European motorcycle manufacturer, is improving the evaluation of product performance and reliability through the use of Abaqus Unified Finite Element Analysis (FEA) software from SIMULIA.
“With our Ready-to-Race philosophy, it is critical that our street motorcycles meet the performance expectations of our customers, without weight or quality penalties,” stated D.I. Gunther Hager, R&D Teamleader Engine Structural Analysis, KTM Sportmotorcycle AG. “For the launch of our new Superbike RC8, which will be available to the market in the spring of 2008, we are using Abaqus software to evaluate thermal behavior, noise and vibration, structural performance of assemblies, and stress-based fatigue. This integrated simulation process gives us a better understanding of the physical behavior of our products during the design phase.”
KTM Sportmotorcycle AG is using Abaqus Unified FEA software for all applications in engine and chassis development. The software is used to analyze the stiffness and flexibility of vehicle frames and engine systems, including gaskets, pistons, and headblocks. KTM is also using AVL Excite, which leverages Abaqus technology to study crankshaft dynamics that influence noise and vibration.
“Our Unified FEA solutions help high-performance companies like KTM Sportmotorcycle AG develop innovative and market-winning products,” stated Ken Short, vice president SIMULIA strategy and marketing, Dassault Systèmes. “The use of our realistic simulation technology to evaluate the full range of physical attributes ensures that our customers get the best performing products to market on time and on budget.”
SIMULIA’s scalable suite of Unified FEA products allows users to collaborate seamlessly, sharing simulation data and approved methods across multidisciplinary workgroups.
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