Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.785452
Title: Internal combustion engine particulate filter performance characterisation
Author: Lin, Chun-Xing
ISNI:       0000 0004 7970 9644
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2017
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Abstract:
This thesis describes the development of the test method for internal combustion engine particulate filter performance characterisation. The combustion process of automotive internal combustion engines generates a number of harmful emissions including particulate matter (PM). Research has indicated that engine emitted PM is potentially carcinogenic through inhalation. Both concerns over human health and environmental protection drive the increasingly stringent world-wide emissions legislations. Therefore, challenges are imposed for engineers to deliver reliable particulate filter products for PM emissions control in a cost effective way. The performance of particulate filters is believed to be strongly related to substrate materials. Fundamental understanding of substrate material properties and its pressure drop and filtration performance is essential for filter design. The test method developed in this study has demonstrated its capability to effectively characterise the performance of a metallic foam substrate. Methods for building 1D filter performance model have also established. The developed model is capable of providing accurate performance prediction outside the test data range. Designability of substrate pore shape and arrangement is desired to optimise filter performance. Applying unique photolithographic manufacturing technique, slotted metallic membrane provides such feature for filter designers. Preliminary performance characterisation for slotted metallic membrane revealed a potential candidate for next generation IC engine particulate filter substrate.
Supervisor: Not available Sponsor: Jaguar Land Rover Ltd
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.785452  DOI: Not available
Keywords: Mechanical Engineering not elsewhere classified
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