Modeling thermal behavior and residual stress for layer-by-layer rotated scan direction in...

[HTML][HTML] Machine acceleration time series prediction for dimensional accuracy of 3D printed parts

JB Deb, S Chowdhury, S Chowdhury, G Paul… - Data Science and …, 2024 - Elsevier

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 …

被引用次数：5 相关文章

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 …

[HTML][HTML] An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing

JB Deb, S Chowdhury, NM Ali - Decision Analytics Journal, 2024 - Elsevier

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 …

被引用次数：5 相关文章

An Island Type Novel Scan Pattern With Non-Linear Island Intersections for Laser Powder Bed Fusion Additive Manufacturing Processes

MSR Roney, AMMN Ahsan… - International …, 2024 - asmedigitalcollection.asme.org

Thermal gradient and solidification time dictate the prominent mechanical properties and
printing qualities of metal parts produced through the Laser Powder Bed Fusion (LPBF) …

[PDF] researchgate.net

[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 …