Technical Expert, Ford Motor Company
Dr. Fu is an Optimization and Robust Design Technical Expert since she joined Ford in 1999, and currently she is leading the Strategy and Sustainability Analytics Group at Ford Research and Advanced Engineering. Dr. Yan Fu has led the developments and applications of advanced optimization and robust design technologies for vehicle safety design, which enable many of the Ford vehicle programs to achieve Insurance Institute for Highway Safety Top Safety Pick Award, National Highway Traffic Safety Administration New Car Assessment Program 5-Star, and meet or exceed requirements mandated by the new Federal Motor Vehicle Safety Standards, simultaneously. Dr. Fu has authored or co-authored 38 technical papers in peer-reviewed journals and about 60 technical papers in various conference proceedings. Dr. Fu is the recipient of numerous honors and awards including some of the most prestigious technical achievement awards, such as 2011 SAE Henry Ford II Distinguish Award for Excellence in Automotive Engineering, 2005 and 2008 Henry Ford Technology Awards. Dr. Fu is a member of SAE International, American Society of Mechanical Engineers, and International Society on Multiple Criteria Decision Making. Dr. Fu is also a member of SAE Women Engineers Committee, which she dedicates herself to encourage women to take engineering job and bring innovative ideas to the product development world. Dr. Fu received her B.S. from Tsinghua University in 1994 and her M.S. degree from Chinese Academy of Sciences in 1996 at Beijing, China. She received her Ph.D. degree in Civil and Environmental Engineering from Carnegie Mellon University at Pittsburgh, USA in 2000.
Carlo Poloni will chair the Automotive Roundtable that will see Managers and Experts from the simulation departments of the top automotive companies discuss about the strategies to be put in place for a firm management of the increasing complexity. Tayeb Zeuguer (JLR) and Michael Tormanen (Volvo) among others will bring to conference participants their views as simulation specialists and explore best practices, future trends and opportunities.
Authors: Yan Fu, Ching-Hung Chuang, Jian Fang and Ren-Jye Yang
The automotive industry today is challenged by numerous complex and often conflicting requirements such as compress vehicle design cycle time, lower the weight and cost of vehicles, and improve product performances, e.g., safety, NVH, durability, quality, fuel economy, reliability etc. To satisfy these stringent requirements, we are increasingly relying on the use of the most promising technologies in simulations, analysis, and multidisciplinary design optimization (MDO) for large-scale vehicle program applications.
Traditionally, MDO is conducted by a MDO subject matter expert who needs to collect all attribute information and models, integrate them into a large-scale optimization workflow, and solve the multi-objective optimization problem through an engineer-centric desktop solution. This is a time consuming, difficult, and engineer dependent process, which may not reach the full potential of the advanced MDO technologies. In this paper, we will present a new Enterprise Multi-disciplinary Design Optimization System (EMDO) based on SOMO and tightly integrated with the private clouding computing system.
This new EMDO system is a web-based and mobile-enabled technology, which provides a collaborative and distributed execution platform to manage the complexity of growing demands of large-scale vehicle design projects. It has potential to make significant contributions for cross-attribute program developments in term of weight saving, fuel economy increase, meeting or exceeding multiple attribute requirements, as well as reducing product development time and engineering cost. A large-scale vehicle design case study will be used to demonstrate the capabilities and usefulness of the new EMDO system.