| PRESCIENT | This project is closed |
| Development of Reliability Prediction Models to Support the Design and Testing of Automotive Components |
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Context Vehicle manufacturers are placing stricter requirements on component suppliers to meet growing customer expectations of higher vehicle reliability without increased cost. Designers do not have reliable means of predicting the lifetime of systems at the design stage without lengthy testing of prototypes, the results of which may not be available until late in the design process. Aims To develop a comprehensive understanding of the degradation processes and failure mechanisms associated with automotive alternators. To formulate this knowledge as a mathematical model for the prediction of alternator life in terms of underlying design, manufacture, operational environment and use. To develop a component health and usage monitoring system for use during tests and vehicle operation. To provide updates to component and system reliability information To develop a prediction model as a new CAD tool for designers. Method Tests on rigs and on vehicles will be carried out to measure component stress and degradation processes, and failed components will be examined to develop a clear understanding of failure mechanisms. This will be used to develop reliability prediction models that will allow component and system life to be prediction in advance of any failures Benefits Component suppliers will be able to explore design options from the point of view of system reliability and cost without time consuming tests on prototypes. The customer will benefit from fewer failures and reduced maintenance costs. Participants Cranfield University Ford Motor Company Analogy Northern Europe |
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