Experimental study and neural network model based prediction of layer thickness influence on LPBF IN625 single track geometry-Reference-Cited by-同舟云学术

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Experimental study and neural network model based prediction of layer thickness influence on LPBF IN625 single track geometry

Published:2024-06 Issue: Volume:173 Page:110543
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Simson D^ORCID,Paul C.P.^ORCID,Subbu S. Kanmani

Publisher

Elsevier BV

Reference40 articles.

1. A theory of lubrication by microirregularities;Hamilton;J. Fluids Eng. Trans. ASME,1966

2. Electric discharge texturing of HSS cutting tool and its performance in dry machining of aerospace alloy;Singh;J. Braz. Soc. Mech. Sci. Eng.,2019

3. Effect of deterministic asperity geometry on hydrodynamic lubrication;Siripuram;J. Tribol.,2004

4. Electrochemical micro texturing on flat and curved surfaces: simulation and experiments;Patel;Int. J. Adv. Manuf. Technol.,2019

5. Fabrication of micro-channels on Co–Cr–Mo joints by micro-abrasive jet direct writing;Melentiev;J. Manuf. Process.,2020

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