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Fields Medical Life Sciences Information Communication Environment Nanotechnology / Materials Energy Manufacturing Technology Social Infrastructure Frontier Liberal Arts Themes Researchers JP Top Manufacturing Technology Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions JAPANESEINQUIRY update：2024/02/02   NEXT PREV Overview of Technology Focusing on the lubricant film flow with phase change between the engine piston pin and connecting rod small end, we developed a new multiphase fluid-structure coupled analysis method that takes into account elastic deformation of the structure and flow path changes and developed a simulation prediction method for tribological properties under high load conditions. The simulation prediction method for tribological properties under high load conditions has been created. As a result, we succeeded in simulation prediction of the wear/seizure generating areas in sliding parts. We discovered that the peculiar deformation behavior of the components is the cause of wear/seizure. Comparison with Conventional Technology It has been thought that computational prediction is impossible to verify the wear and seizure locations in fluid lubrication. Still, this study succeeded in the simulation prediction of wear and seizure locations in sliding parts. Features and Uniqueness Numerical prediction of the wear and seizure locations in the sliding parts of engine piston pins was successfully performed. The bow-like deformation of the piston pin was identified as the cause of mechanical contact and seizure at the connecting rod edge. A three-dimensional multiphase fluid-structure coupled analysis method has been successfully developed, considering the piston pin&＃039;s elastic deformation and connecting rod and thin-film cavitation1 lubrication with unsteady flow path changes. Practical Application This research method applies to automotive engines and all sliding component elements using fluid lubrication. It contributes to damage prediction and the development of safety guidelines for transportation and industrial machinery components, enabling the optimal design of components. Keywords Tribology Fluid-Structure Interaction Sliding Wear Seizure Mechanical contact Supercomputer Engine Pistons Computational Fluid Dynamics Elastohydrodynamic Lubrication Cavitation Multiphase flow Oil film breakage Elastic deformation Flow path change Simulation Boundary lubrication Researchers Institute of Fluid Science Jun Ishimoto, ProfessorPh.D Laboratory Website researchmap Laboratory Website researchmap Related Information Piston pins and connecting rods, which are the driving elements of automobile engines, are in constant reciprocating and rotating motion, and complex physical phenomena such as friction between lubricant film and solid surface, heat generation, phase change, and surface roughness co on the sliding surfaces. The detailed mechanisms that lead to the occurrence of wear have yet to be clarified.In this study, a coupled analysis approach using massively parallel supercomputing was conducted considering the interaction between fluid lubrication and solid deformation during the operation of these mechanical elements, and the flow in the thin film with elastic deformation and cavitation of the solid was clarified. The simulation also successfully predicted the wear and seizure on the piston pin. Thus, the coupled analysis approach, which simultaneously deals with the flow characteristics of lubricant film and the elastomechanical behavior of the components, will contribute to damage prediction and high durability design of components in transportation and industrial machinery, as well as being very useful from a comprehensive academic perspective. This research method is applicable not only to automotive engines but also to all sliding component elements using fluid lubrication. It will contribute to damage prediction and the formulation of safety guidelines for transportation and industrial machinery components. This research will reduce wear and durability test time and manufacturing costs and will enable optimal design of all elements that involve mechanical. 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