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The book provides a framework for understanding materials processing during laser-based additive manufacturing by computational modeling and simulations. It thereby enables the users of this technique to improve the compositional, phase and microstructural evolution within the material and the subsequent mechanical, chemical, and functional properties of the manufactured components.

Produktbeschreibung
The book provides a framework for understanding materials processing during laser-based additive manufacturing by computational modeling and simulations. It thereby enables the users of this technique to improve the compositional, phase and microstructural evolution within the material and the subsequent mechanical, chemical, and functional properties of the manufactured components.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Narendra B. Dahotre is Regents Professor in the Department of Materials Science and Engineering at the University of North Texas, USA. Prior to his current position, he held joint faculty appointments with Oak Ridge National Laboratory and the Department of Materials Science and Engineering of the University of Tennessee-Knoxville. He has been recognized for the pioneering contributions to fundamental understanding and engineering of laser materials interactions along with implementation of high-power lasers in materials processing and advanced manufacturing with primary emphasis on surface engineering, additive manufacturing, and machining. Mangesh V. Pantawane is Research Assistant in the Department of Materials Science and Engineering at the University of North Texas, USA. He has been conducting research on the fundamental understanding of laser-material interactions for physical phenomena involved behind morphological, microstructural and chemical transitions in materials under non- or near-non-equilibrium thermodynamic and kinetic conditions, with a focus on the development of computational models of these transitions.