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In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
Additive manufacturing is rapidly becoming available to designers, hobbyists, and industrial manufacturers.
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
"Liquid metal jetting is an additive manufacturing process where molten metal is ejected and deposited droplet by droplet to build a three-dimensional part.
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
The book begins with a systematic review of various processes and techniques, along with their applications and associations with materials systems. This is followed by a description of the phenomena and principles in droplet processes.
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for ...
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
The objective of the present work is to model the successive droplet impacts and simultaneous solidification and deformation.
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
Given its breadth of coverage, the book will be of interest to students, researchers, and industry professionals alike. This book focuses on droplets and sprays and their applications.
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
A two-zone entrainment model, utilizing a variable two-phase entrainment coefficient and a virtual origin related to the nozzle outlet conditions, is derived and validated based on experimental data of the droplet velocity and size in ...
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
This thesis work explores the possibility of using such a method to print engineered lattice structures without the aid of any support material.
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. from books.google.com
Big data plays an important role in the fourth industrial revolution, which requires engineersand computers to fully utilize data to make smart decisions to optimize industrial processes.