Predicting the Porosity in Selective Laser Melting Parts Using Hybrid Regression Convolutional Neural Network

Predicting the Porosity in Selective Laser Melting Parts Using Hybrid Regression Convolutional Neural Network

Assessing the porosity in Selective Laser Melting (SLM) parts is a challenging issue, and the drawback of using the existing gray value analysis method to assess the porosity is the difficulty and subjectivity in selecting a uniform grayscale threshold to convert a single slice to binary image to hi...

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Bibliographic Details
Main Authors: Nawaf Mohammad H. Alamri, Michael Packianather, Samuel Bigot
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
deep learning
regression convolutional neural network
bees algorithm
selective laser melting
artificial porosity images
Online Access:https://www.mdpi.com/2076-3417/12/24/12571

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