Designing complex products with small probability of failure in the context of Industry 4.0

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The success of the transition to digital design and engineering in Industry 4.0 is determined not only by the improvement of technical and computer-aided design tools, but also by the efficiency of human activity in their use. One of the challenges of the new industrial revolution is to increase the professional level of designers and developers in the field of preparing and verifying initial computer input data validating the results of its work at the output. This mainly concerns the most time-consuming and responsible work on the design of complex products with a low probability of failure. The result can be achieved through the use of new methods of design and technological analysis to mitigate or eliminate human errors when making technical decisions. Using the methods of design & technology reliability analysis does not violate the natural course of the design and development processes, while providing a justification of the parameters of operation, which is necessary for making faultless design decisions. For this purpose, analysis methods are used, which allow to submit design documentation in the form of a parametric model of operation. This model allows simulating emergency situations with the worst combinations of modes and operating conditions, which is impossible to achieve with experimental testing. Based on such modeling, reasonable design decisions are made that exclude potential failures. To eliminate low probability failures, an original option is provided, which allows establishing the necessary and sufficient requirements in the design documentation to achieve defect-free production.

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Industry 4.0, digital twin, digital shadow, small probability of failures, design & technology reliability analysis (dtra)

Короткий адрес: https://sciup.org/170178811

IDR: 170178811   |   DOI: 10.18287/2223-9537-2019-9-1-24-35

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