DOWNLOAD PRESENTATIONWATCH VIDEOAbstract Expandable liner hangers used for wellbore construction within the oil and gas industry are complex mechanical systems. Finite Element Analysis (FEA) based engineering simulation for design and development of expandable liner hanger systems is an important activity to reduce the time and cost to introduce a reliable and robust product to the competitive market. The complex nonlinear plastic material behavior and physical interaction during setting of the expandable liner hanger requires powerful High-Performance Computing (HPC) infrastructure to solve the complex and large FEA simulation models. This presentation summarizes HPC infrastructure at Baker Hughes and how it is being used to perform engineering simulations to drive the product design for Expandable Liner Hanger Systems. The HPC resource at Baker Hughes adds value to the design process by enabling greater simulation throughput. Using HPC resources, engineering teams can analyze not just a single design idea, but many design variations faster. By simulating multiple design ideas concurrently, design teams are able to identify dramatic engineering improvements early in the design process, prior to and more effectively than physical prototyping alone. HPC specifically enables parallel processing to obtain the solution of the toughest, higher-fidelity FEA models - including more geometric detail, larger systems and more complex physics. In summary, HPC helped us to understand detailed product behavior with confidence in the design and to achieve significant reduction in product development time and cost.