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Abstract The objective of this work is to analyze the signal of a piezoelectric washer installed under the spark plug and to compare the combustion metrics evaluated with such signal to the indexes from a standard piezoelectric sensor for the in-cylinder pressure measurement, considered as the reference. In the first part of the article, the spectrum analysis of the piezoelectric washer pressure trace is proposed. It is demonstrated how such a signal can be used to measure the main combustion and knock indexes. Nevertheless, due to the intrinsic characteristics of the system, the knock index evaluated from the raw pressure trace cannot be directly used to estimate the instantaneous knock intensity. For this reason, a model-based algorithm for Real-Time (RT) application is developed to calculate a corrective factor of the high-frequency content of the signal.

Engineering plastics are widely used in many tribological applications due to their inherent advantages such as reduced weight, ease of manufacturing, improved chemical compatibility, and damping characteristics. However, the process of selecting an appropriate polymeric material system for a specific application involves significant experimentation.

Abstract In India, vehicle population increases every day along with road accidents by 2.5% every year. About 7.7% of accidents are caused by wheel separation, 60% of which are due to nut-related problems. Wheel separations in vehicles occur due to fastener issues and fatigue failures in bolts. A study of the reasons for and mechanisms of nut loosening showed that left-hand side wheels detached and fracture failure occurred in right-hand side studs. Fatigue life of wheels with Nord-Lock washer and without washer is determined by using numerical analysis as per the IS 9438 cornering fatigue test. These numerical results are compared with experimental results.