In the software and hardware development of white goods, the mechatronic components are subject to specific product tolerances. These occur due to the production tolerances. Example speed range, power fluctuation or temperature accuracy. These are usually visible in the data sheets or can be requested from the manufacturer. The resulting influences are simulated in advance with the Monte Carlo simulation. Based on the results, attempts are made to solve analytically unsolvable problems with the help of probability theory. This allows development scenarios to be tested beforehand to evaluate the correct components.It is possible to determine the possible outputs for randomly selected parameters via the corresponding relationships. Today’s programs like VENSIM,
r programming, python or Excel are used.
Approach to product development.
The interaction of the components in an assembly or device is analyzed by creating a simulation model. The idea is based on a Ishikawa diagram. The cause-and-effect diagram visualizes the relationships in which analytically the construction / task is analyzed. The construction is decomposed until each connection has been analyzed.
This simulates the simulation of complex assemblies that can not be analyzed directly. This is done by substituting a series of probability distributions for each uncertainty factor. The probability distributions of the components used can usually be found in the literature. If these data are not available, then internal or external experiences can be used. The data can also be evaluated via IOT / IIOT. There is also the possibility to assign a higher probability to the different components at the beginning. The probability distributions of mechanical components or components are normally Gauss distributed. In contrast, the Weibull distribution of the lifetime, failure frequency of electronic components or (brittle) materials such as ceramics is used.
The results are continually recalculated using a series of new random values derived from the probability functions. Depending on the number of indeterminacies and the specified ranges, an infinite number of recalculations can be performed during a Monte Carlo simulation.
Specification
Finally, the entire life of a device can thus be simulated with the associated fluctuations. How the fluctuations come about can be evaluated in the model. This results in the specifications for the individual parts, assemblies and components, which are then written down in the specification.
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