Paris, France, and Providence, R.I., USA, June 24, 2008 – Dassault Systèmes (DS) (Nasdaq: DASTY; Euronext Paris: #13065, DSY.PA), a world leader in 3D and Product Lifecycle Management (PLM) solutions, today announced that Cambric Corporation, a global provider of outsourced engineering solutions, has selected the Abaqus Unified FEA product suite from SIMULIA to enhance their simulation service offering while better aligning with their customers’ requirements.
Cambric provides global engineering services to manufacturing companies in a wide range of industries including automotive, heavy equipment, off-highway equipment, and consumer products. Responding to growing requests for simulation results generated with Abaqus FEA software, Cambric is implementing realistic simulation technology from SIMULIA to enhance collaboration with their customers and improve the process of evaluating accurate product performance.
“Our selection of Abaqus Unified FEA over competitive simulation products was based on better alignment with our customers’ FEA tools, improved efficiency – both technically and financially – and SIMULIA’s respected portfolio of nonlinear and multiphysics capabilities,” stated Paul Spangler, vice president, Cambric Corporation. “By leveraging SIMULIA’s realistic simulation solutions, Cambric will be able to address a larger market for FEA services – by supporting our current customers, and developing new customers in emerging industry domains.”
Spangler also noted that the selection of Abaqus Unified FEA was driven by scalability in terms of reduced solution times, broader parallel computing platform support and SIMULIA’s commitment to advancing their FEA technology.
“Driven by the need for faster, more realistic simulation and more dependable design insight, companies are rapidly migrating to Abaqus Unified FEA solutions from less-sophisticated legacy products,” stated Ken Short, VP strategy and marketing, SIMULIA, Dassault Systèmes. "Progressive service providers like Cambric are also switching to our solutions to support the associated evolution of simulation methods and workflows.”