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pro vyhledávání: '"Michael S. J. Walter"'
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3184 (2024)
Additive manufacturing has transformed the production process by enabling the construction of components in a layer-by-layer approach. This study integrates Artificial Neural Networks to explore the nuanced relationship between process parameters and
Externí odkaz:
https://doaj.org/article/ef1045acef894fd6bb4faf8538877b2a
Autor:
Peter Grohmann, Michael S. J. Walter
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 4207 (2021)
Statistical tolerance analysis based on Monte Carlo simulation can be applied to obtain a cost-optimized tolerance specification that satisfies both the cost and quality requirements associated with manufacturing. However, this process requires time-
Externí odkaz:
https://doaj.org/article/717e23a58b4b495380e660f76b2033a5
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2622 (2021)
The importance of geometric deviations of components for the aesthetic and functional quality of products has been undisputed for decades. So, it is not surprising that not only have numerous researchers devoted themselves to this field, but also com
Externí odkaz:
https://doaj.org/article/4fcd707231f047df8b7bff7dc0d8d174
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 237:1161-1170
Industrial requirements to design high quality products in shorter and shorter times impose the use of numerical models to estimate the geometrical deviations of these products, which are assemblies, starting from the geometrical deviations of their
Publikováno v:
DS 117: Proceedings of the 24th International Conference on Engineering and Product Design Education (E&PDE 2022), London South Bank University in London, UK. 8th - 9th September 2022.