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Model-based development (MBD), which makes it possible to study and adjust contradictory requirements between a large number of functions and systems to a high level in a short period of time was implemented within an engine development. In fact, however, elevating engine systems to more advanced levels is a challenge even by satisfying the stand-alone requirements of components. In addition, a still higher level of technology is required for the conflicting relationships between multiple functions, e.g. the power output of an engine and its strength and durability performance, and the reconciliation between the numerous related systems that comprise it. Such reconciling technology requires the consideration of overall optimization that envisions design over a wide range. For present-day development, this would require an extensive period of examination over several years. This presents the issue of requiring an extended period for verification.

The purpose of this research was to predict the amount of wear on exhaust valve seats in durability testing of gasoline engines. Through the rig wear test, a prediction formula was constructed with multiple factors as variables. In the rig test, the wear rate was measured in some cases where a number of factors of valve seat wear were within a certain range. Through these tests, sensitivity for each factor was determined from the measured wear data, and then a prediction formula for calculating the amount of wear was constructed with high sensitivity factors. Combining the wear amount calculation formula with the operation mode of the actual engine, the wear amount in that mode can be calculated. The calculated wear amount showed a high correlation with the wear amount measured in bench tests and the wear amount measured in vehicle tests.