Titlebook: Internet of Production; Fundamentals, Method Christian Brecher,Günther Schuh,Melanie Padberg Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable

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Materials Within a Digitalized Production Environmentbining them with in-process data using innovative sensor technology and suitable mathematically driven approximation procedures such as machine learning, it is possible to conceive a digital material shadow that resolves elements of the dilemma between data granularity, data volume, and processing s

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Materials in the Drive Chain – Modeling Materials for the Internet of Productionng. Several modeling and characterization approaches are applied to quantitatively describe the microstructure evolutions in terms of porosity during sintering, density profile after cold rolling, hardness and residual stresses after heat treating and grinding and the tooth root load bearing capacit

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Internet of Production: Challenges, Potentials, and Benefits for Production Processes due to Novel Mny basic tasks as well as processing of large data sets to achieve process understanding and derive appropriate measures. This chapter illustrates requirements for digital systems to be created and benefits derived by different novel systems. Furthermore, because modern systems have to incorporate n

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