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[HTML][HTML] An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing
This study investigates the ensemble machine learning models to predict the mechanical
properties of the 3D-printed Polylactic Acid (PLA) specimens. We studied the effects of five …
properties of the 3D-printed Polylactic Acid (PLA) specimens. We studied the effects of five …
[HTML][HTML] Machine acceleration time series prediction for dimensional accuracy of 3D printed parts
This study explores the influence of infill patterns on machine acceleration prediction in the
realm of three-dimensional (3D) printing, particularly focusing on extrusion technology. Our …
realm of three-dimensional (3D) printing, particularly focusing on extrusion technology. Our …
[PDF][PDF] A long short-term memory network for product quality monitoring in fused deposition modeling
This study investigated the influence of room temperature on the final prototype parts
produced using the fused deposition modeling (FDM) technique. Real-time room …
produced using the fused deposition modeling (FDM) technique. Real-time room …
[BOG][B] Data-Driven Prediction Modeling for Part Attributes and Process Monitoring in Additive Manufacturing
JB Deb - 2023 - search.proquest.com
The first study aimed to use artificial neural networks (ANN) to predict how process
parameters would affect the part attributes in an extrusion-based additive manufacturing …
parameters would affect the part attributes in an extrusion-based additive manufacturing …
An Island Type Novel Scan Pattern With Non-Linear Island Intersections for Laser Powder Bed Fusion Additive Manufacturing Processes
Thermal gradient and solidification time dictate the prominent mechanical properties and
printing qualities of metal parts produced through the Laser Powder Bed Fusion (LPBF) …
printing qualities of metal parts produced through the Laser Powder Bed Fusion (LPBF) …
[PDF][PDF] Decision Analytics Journal
JB Deb, S Chowdhury, NM Ali - researchgate.net
This study investigates the ensemble machine learning models to predict the mechanical
properties of the 3D-printed Polylactic Acid (PLA) specimens. We studied the effects of five …
properties of the 3D-printed Polylactic Acid (PLA) specimens. We studied the effects of five …
[PDF][PDF] A Long Short-Term Memory Network for Predicting Real-Time Room Temperature for Product Quality Monitoring Using Fused Deposition Modeling
JB Deb, S CHOWDHURY, S Chowdhury, T Pal… - Available at SSRN … - papers.ssrn.com
This study investigated the influence of room temperature on the final prototype parts
produced using the fused deposition modeling (FDM) technique. Real-time room …
produced using the fused deposition modeling (FDM) technique. Real-time room …
[HENVISNING][C] Effect of Infill Patterns on Time Series Machine Bed Acceleration Prediction and Dimension Accuracy of 3D Printed Plastic Parts
JB Deb, S CHOWDHURY, S Chowdhury, G Paul, T Pal… - Available at SSRN 4486277