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Tohoku Univ. Technology:Knocking prediction method: T22-260

High precision knocking prediction method reproducing DNS

Although the knocking phenomenon is a hindrance to the improvement of the thermal efficiency of the engine, the detailed mechanism of the occurrence of knocking has been difficult to fully understand due to the complex interaction of hydrodynamics and chemical reactions.  The inventors performed DNS (Direct Numerical Simulation) to calculate the basic equations of a reactive fluid, and confirmed the agreement with experimental data of knocking for the first time in the world [1]. Further, by analyzing the mechanism of the occurrence of knocking in detail, it was found that there was a "critical condition" in which a flame, which is a combustion chemical reaction wave, could not exist as a flame and had to transition to severe overall ignition under extreme conditions. From this, an equivalent theory of ignition and flame was constructed, and the conditions for the occurrence of knocking were successfully derived [2].  The present invention makes it possible to predict the occurrence of knocking accurately and relatively simply, which has been impossible until now.

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Market Research Report on Predictive Technology in the Global Automotive Industry

Global Market for Predictive Technology in Automobiles (2023-2028): Passenger Cars, Commercial Vehicles

Mordor Intelligence's market research report predicts that the global market size for predictive technologies in the automotive sector, which was $59.09 billion in 2021, will increase to $94.85 billion during the forecast period (2022-2027) at a CAGR of 8.21%. This report investigates and analyzes the global market for predictive technologies in automotive, covering the introduction, research methodology, executive summary, market trends, analysis by vehicle type (passenger cars, commercial vehicles), analysis by end-user (fleet owners, insurance companies, others), analysis by hardware (ADAS, onboard diagnostic devices, others), regional analysis (North America, Europe, Asia-Pacific, USA, Canada, Germany, UK, France, China, India, Japan, South Korea, Brazil, Mexico, UAE, others), competitive landscape, market opportunities, and future trends.

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