<p dir="ltr">Ensuring the reliability and efficiency of engines in marine and mining applications is critical for operational safety and performance. This thesis explores two interconnected areas of engine reliability: the analysis of marine diesel engine faults and the development of a framework that linked together the vehicle simulation model developed by Cummins and the damage model developed by Cummins. The first part of the research describes a comprehensive literature survey on common faults in marine diesel engines, focusing on issues such as fuel system failures, turbocharger malfunctions, and cooling system inefficiencies. Additionally, it investigates various hardware redundancy strategies to mitigate these faults and enhance engine reliability. The findings demonstrated that hardware redundancy is expected to reduce the likelihood of engine failure by ensuring continuous operation even in the event of component malfunctions. </p><p dir="ltr">The second part of the research centers on the development and validate of a framework that links the Cummins vehicle simulation tool and Cummins damage modeling tool to perform damage calculations for mine haul truck engines. The validation of the framework ensures the accuracy of simulation models, which is crucial for predictive maintenance and performance optimization. The validated data is then used in various damage models to estimate and compare the damage accumulation in diesel and hybrid engine scenarios for mine haul applications. The findings provide insights into these engines' relative durability and performance under real-world conditions for this specific duty cycle. Notably, the comparative analysis revealed that hybrid engines tend to accumulate higher levels of oxidation and creep damage in components such as the exhaust manifold and turbine housing. In contrast, diesel engines are more susceptible to high cycle fatigue and wear in components like the piston rings and cylinder heads. </p><p dir="ltr">This thesis aims to bridge the gap between theoretical research and practical application by combining a thorough literature review, empirical validation, and damage modeling using tools developed by Cummins. </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/26485057 |
| Date | 02 August 2024 |
| Creators | Anushka George (19320724) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/_b_ENHANCING_ENGINE_RELIABILITY_IN_MARINE_AND_MINING_APPLICATIONS_A_COMPREHENSIVE_STUDY_OF_FAULT_ANALYSIS_AND_VALIDATION-BASED_DAMAGE_MODELING_b_/26485057 |
Page generated in 0.0021 seconds