This conference paper was submitted for presentation at the NAFEMS World Congress 2025, held in Salzburg, Austria from May 19–22, 2025.

Abstract

As companies face increasing competition, the need to move faster and become more efficient in their product development processes is critical. As companies move towards zero, or nearly zero physical prototypes, greater emphasis is placed on simulation to take a more strategic role in bringing new products to market. Many of the current simulation processes are unsustainable for reaching this goal. The integration of simulation, SPDM and AI offer a new horizon for increasing both the efficiency and effectiveness of simulation capabilities across the enterprise. This presentation will focus on three areas within these technology domains that, when integrated, provide the basis for digital transformation of the process of simulation. - Extraction and compilation of the most critical simulation data from large data lakes of result files. This process involves the interrogation of heterogeneous simulation models that span the multiple physics of system level product development. - Management and accessibility of targeted simulation results throughout the enterprise. Additionally, the implementation of SPDM streamlines simulation workflows by connecting appropriate simulation activities. - Enabling rapid AI learning by culling and delivering to the AI system targeted simulation results. Once fueled by this information, AI systems can deliver the speed and accuracy needed to drive an exponential increase in the number of simulation use cases needed to create and validate complex product performance. An additional evolving area to support these domains is Rapid Results Review. RRR focuses on adding speed and clarity to the interpretation and impact of multiple simulation results. In each of these areas the presentation will detail the types and flow of the simulation data as it moves from the early stages of product development through to design finalization. Beginning with large scale simulation results the presentation will discuss the type of data being utilized and managed at the primary points of engagement across the product lifecycle. Additional focus will be placed on quantifiable improvements in each area over current and more traditional processes in simulation and simulation management.