Titlebook: Numerical Methods in Industrial Forming Processes; Numiform 2023 Jan Kusiak,?ukasz Rauch,Krzysztof Regulski Conference proceedings‘‘‘‘‘‘‘‘

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Modeling the Morphology Evolution of Recrystallized Grains of Aluminum Alloys Under Oriented Growthrains together with various textures can have a significant effect on the material’s performance. In this work, oriented growth and anisotropic dispersoid pinning effects on boundary migration are taken into account in a cellular automaton model to simulate the morphology evolution of recrystallized

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Information Extraction from Time Series in the EDM Drilling Process,ne turbine airfoils. The main problem of the analysis is detection of a moment when the machine should stop the drilling process—the breakthrough detection. Machine learning applications requires that data and models to be prepared by specialists that can extract the most important information from

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彎曲的人

Numerical and Experimental Analysis of the Influence of Manufacturing Parameters in Additive Manufa optimized geometries. However, the process leads to disadvantages, such as thermal distortions and the generation of residual stresses due to thermal gradients during the parts production. Based on these undesirable characteristics, this work aims to model AM numerically through the Finite Element

PALMY

Material Parameters Identification of Thin Fiber-Based Materials Using the Method of Machine Learnias paperboard can be accomplished by strain-based loading of a specimen in combination with a simulation-based reverse engineering approach. Due to the complexity of the material itself, such as anisotropy, the development of such approaches can be very time-consuming and requires programming skills

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束以馬具

work within a wel-established framework, but I do not think there is an established framework for this. One of the most important philosophers of science of the century, Michael Polanyi, said that science is a system of workshops, since the master scientist, like the master artist, does not know wha