Strategies will be explored for developing mathematical models to support condition-based maintenance (CBM) decisions via a practical case study.
April 22, 2021 @ 11:00 am EST
Simulation Governance Is Critical for Reliable Condition-Based (Predictive) Maintenance
This webinar, hosted by ESRD partner Revolution in Simulation, will present a case study in which the goal was the development of a mathematical model for supporting condition-based maintenance (CBM) decisions.
The model was designed for estimating the remaining fatigue service life of high-value mechanical components, given their service history and that specific flaws (such as corrosion defects) have been discovered in them, thus enabling CBM to move damaged component removals from unscheduled to scheduled maintenance action.
- Mathematical models have both intuitive, creative components and objective, science-based components. These two components must be in equilibrium.
- What is the difference between finite element modeling and numerical simulation?
- What is the domain of calibration and how to specify it?
- How the outcome of validation experiments should be evaluated and reported?
- Why is the development of mathematical models open-ended? – Why no one can claim to have the last word?
- Why simulation governance is essential for the success of numerical simulation projects?
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“The p-type element has been used to great advantage in the finite element system ESRD StressCheck, . This software provides the engineer with the means to conduct solution verification in an extremely straightforward manner by simply increasing the degree of the element, monitoring convergence and using Richardson extrapolation reliably to estimate the error. This can be conducted automatically by the software thereby enabling the engineer to concentrate on the engineering rather than the simulation. StressCheck has also been used to develop ESRD’s Handbook and Toolbox applications. The first of these provides engineers with a repository of parameterised standard problems of the type found in texts like Roark’s “Formulas for Stress and Strain”, . The second, Toolbox, is a tool that can be used to parameterise a company’s range of components for rapid and reliable analysis by non-expert analysis. Toolbox then is an exemplary of the way in which the democratisation of simulation can be applied.”
Angus Ramsay, PhDEngineering Director, Ramsay Maunder Associates