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dc.contributor.supervisorJawanda, Ajayinder Singh-
dc.contributor.authorSharma, Mohit-
dc.description.abstractTurbocharging is a way of enhancing the power output of the engine by suppling higher density and high-pressure air. Turbocharging not only compensated the loss of power due to engine downsizing but also reduced the particulate matter into the atmosphere. So, turbocharging is highly preferred in the present scenario. It is vital for the turbocharger to work very effectively so as give good engine performance. A turbocharger comprises of compressor stage, turbine stage and the bearing system. The impeller is assembled along with the turbine wheel and shaft assembly, supported in radial and thrust bearings for effective power transmission. It is necessary that the bearing system works effectively to transmit energy. The thrust bearing system is a major contributor to the energy losses so it is vital to predict and optimise the design of new thrust bearings. This project aims to predict the thrust loads and improve upon the current CTT methods of prediction. The project also aims to co-relate the predicted loads well with the experimentally determined loads even under high exhaust back pressure conditions because the new emission norms demand new components in the downstream of the engine after the turbocharger, which results in high back pressure. To accomplish this task, the biggest assumption of a degree of reaction which is assumed to be constant and equal for both turbine and compressor stages have been eliminated. For this, the critical parameter tree for the compressor and turbine stage has been created and important parameters have been collected. Using the CFD data as the base, the parameters and their effect on the pressures have been studied. Non-dimensional parameters have been used in the new approach to making the analytical method applicable to all turbocharger frames and operating conditions. Non-dimensional parameters collected using CFD data are trained in MATLAB regression tool to extract a regression model that can predict the degree of reaction for both the compressor and turbine stages. The degree of reaction value is used to estimate the pressures needed to predict thrust loads in analytical tool and the results are compared with the thrust loads obtained using test data. The results obtained are co-relate better than the current CTT method and fit in agreement with the results obtained using the test data.en_US
dc.subjectThrust Loaden_US
dc.subjectExhaust Brakingen_US
dc.subjectCFD based analytical toolen_US
dc.subjectExperimental validation of Turbocharger analysisen_US
dc.subjectCritical parameter treeen_US
dc.subjectMATLAB regression toolen_US
dc.subjectDegree of reactionen_US
dc.titleDevelopment of an Analytical Tool for Thrust Load Calculations of a Turbocharger Considering Effect of Exhaust Brakingen_US
Appears in Collections:Masters Theses@MED

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