Shrinkage prediction and correction in material extrusion of cellulose-chitin biopolymers using neural network regression
Author:
Affiliation:
1. Architecture and Sustainable Design, Singapore University of Technology and Design, Singapore, Singapore
2. Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore
Funder
Singapore Ministry of Education
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Modeling and Simulation,Signal Processing
Link
https://www.tandfonline.com/doi/pdf/10.1080/17452759.2023.2225039
Reference43 articles.
1. Additive manufacturing methods and modelling approaches: a critical review
2. A new method for determining and improving the accuracy of a powder bed additive manufacturing machine
3. Process parameters optimization for improving surface quality and manufacturing accuracy of binder jetting additive manufacturing process
4. Artificial Neural Network Based Geometric Compensation for Thermal Deformation in Additive Manufacturing Processes
5. Design and testing of a digital twin for monitoring and quality assessment of material extrusion process
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