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Luke Scime - Oak Ridge National Laboratory L Scime, J Beuth A Multi-scale Convolutional Neural Network for Autonomous Anomaly Detection and Classification in a Laser Powder Bed Fusion Additive Manufacturing Process
Machine Learning Enabled Sensor Fusion for In Situ Defect . . . Machine Learning Enabled Sensor Fusion for In Situ Defect Detection in Laser Powder Bed Fusion Zackary Snow Luke Scime Amir Koushyar Ziabari Brian Fisher Vincent Paquit CRADA Final Report January 2024
Earl Scime West Virginia University ION HEATING IN LABORATORY PLASMAS • Experiments in the 1990’s [Scime et al , 1992] provided the first clear association rapid and intense ion heating during magnetic reconnection in laboratory plasmas Ø Ion heating occurred faster than any collisional timescale in the plasma
Laser Induced Fluorescence Using Frequency Modulated Light , WV 26506, USA Corresponding Author Email: escime@wvu edu The small signal-to-noise (SNR) of conventional laser induced fluorescence (LIF) measurements using a continuous wave laser, either diode or dye, is typically overcome by amplitude modulating the laser at a specific frequency and then using lock-in ampl
A multi-scale convolutional neural network for autonomous . . . This is a PDF file of an unedited manuscript that has been accepted for publication As a service to our customers we are providing this early version of the manuscript The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form