INTERCONNECTS

CANONSBURG, Pa. -- ANSYS Inc., a global innovator of simulation software and technologies designed to optimize product development processes, announced it is offering nationwide seminars on probabilistic design. The seminars will introduce the principles of probabilistic design through customer-proven technologies and practices that will allow companies to inexpensively create more robust product designs, as well as compete for and capture government funds related to the Joint Strike Fighter (JSF) and Homeland Security programs. Seminars will take place in Irvine, California (September 17), Cincinnati, Ohio (September 19), Detroit, Michigan (October 16) and Houston, Texas (October 18); additional seminars are being added in other U.S. locations. Through the sessions, companies will learn how they can enhance their top and bottom lines, increase market size, market share and margin on sales. Session topics will include: -- Robust Product Design Solutions and their Impact on Business: This session will focus on systematic approaches for enabling CAE technologies that will allow product teams to create robust product designs quickly and cost effectively. -- Front-Loaded First-Order Integrated Simulation Solutions: Learn about a new generation of mainstream design tools -- including DesignSpace(R) and DesignXplorer(TM) -- that are available to help develop quality products cost effectively and in less time. -- Multiphysics Simulations and Optimization for High-Fidelity Design: Discussion will center around multiphysics software capabilities and their impact on high-fidelity design. -- Probabilistic Simulation Solutions for Robust Design: This session will describe the underlying methodologies and procedures essential to simulate the effect of uncertainty in input parameters and lead to robust designs. Probabilistic design methods allow users to derive measures for improving the quality control of their design and manufacturing processes. For manufacturers, uncertainty and variability can lead to over- or under-designed products, translating into lost revenue. Adopting a probabilistic approach to design can help manufacturers quantify these variations and ensure optimal and less costly configuration and performance of all components and assemblies.