Tian, Gao, and Li Develop Multiscale Shape Optimization Method to Reduce Piping Flow Resistance

Researchers Tian, Gao, and Li have developed a multiscale shape optimization method designed to reduce flow resistance in local piping components. This new approach addresses long-standing efficiency challenges in fluid dynamics, which impact sectors ranging from water distribution networks to oil pipelines and industrial process systems.

The study details how the team utilizes multiscale modeling to refine the geometry of piping components, thereby minimizing the energy loss typically associated with fluid transport. By focusing on the specific shapes of these components, the researchers aim to improve the overall performance of fluid systems. The findings provide a technical framework for engineers to analyze and adjust piping structures, potentially lowering the resistance that occurs as fluids move through complex industrial layouts.

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Date: June 9, 2026

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GOAI