Adaptive fabrication of material extrusion-AM process using machine learning algorithms for print process optimization

Material extrusion (ME) is an extensively used technique in additive manufacturing for making parts and prototypes. Optimizing the relationship between build time and material usage in ME is challenging but essential for improving production performance. This study aims to find the ideal parameter s...

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Bibliographic Details
Published in:	Journal of intelligent manufacturing Vol. 36; no. 7; pp. 5087 - 5111
Main Authors:	Sridhar, S., Venkatesh, K., Revathy, G., Venkatesan, M., Venkatraman, R.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2025 Springer Nature B.V
Subjects:	3-D printers Accuracy Algorithms Business and Management Consumption Control Datasets Design of experiments Evolutionary algorithms Extrusion Fabrication Fused deposition Genetic algorithms Heuristic Investigations Machine learning Machines Manufacturing Mechanical properties Mechatronics Neural networks Optimization Optimization techniques Parameter identification Process parameters Processes Production Response surface methodology Robotics Sorting algorithms Statistical analysis Taguchi methods Tensile strength Variance analysis Material extrusion Optimization Machine learning Material consumption Build time
ISSN:	0956-5515, 1572-8145
Online Access:	Get full text
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