Improving Bearing Life and Performance with Computational Testing
Bearing manufacturers and their customers are seeking solutions to speed time-to-market of new products, increase customer confidence during sales cycles, and generate new revenue streams. Physical testing capabilities and industry standards are important for the product design and validation process. However, some of the bottlenecks such as the cost and time can increase the risk of developing innovations, increase the time-to-market of new products, and cause customer to have low confidence of product performance at new product launch.
Behrooz Jalalahmadi, PhD
Manager & Lead Scientist, DigitalClone Component
Dr. Jalalahmadi received his Ph.D. in mechanical engineering from Purdue University where he conducted extensive research on Fatigue Life Scatter in Rolling Contacts with an emphasis on simulation and computational modeling. His expertise include: Fatigue, Voronoi simulations, material microstructure and its effects on mechanical behavior, tribology, contact mechanics, rolling contact fatigue, bearings, life equations for bearing elements, damage mechanics, nanotubues, modeling and simulation, Finite element, and computational analysis. Currently, he is the lead scientist for the development of DigitalClone Component and support of life prediction projects and validations.