Multi-target machine learning for predicting mechanical properties of FDM-printed polymer components.

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Bibliographic Details
Title: Multi-target machine learning for predicting mechanical properties of FDM-printed polymer components.
Authors: Naidu AL; Department of Mechanical Engineering, GMRIT Deemed to be University, Rajam, Andhra Pradesh, 532127, India., Kalabarige LR; Department of Computer Science Engineering, GMRIT Deemed to be University, Rajam, Andhra Pradesh, 532127, India., Saraswathi DS; Department of Mathematics, Aditya University, Surampalem, Andhra Pradesh, 533437, India., Bhattacharya A; Department of Computational Sciences, Brainware University, Kolkata, West Bengal, 700125, India., Kumar P; Department of Mechanical Engineering, GMRIT Deemed to be University, Rajam, Andhra Pradesh, 532127, India., Singotia PK; Department of Mechanical Engineering, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, 531162, India., Sharma SS; Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India. shyamsunder.sharma@jaipur.manipal.edu.
Source: Scientific reports [Sci Rep] 2026 Apr 22; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 22.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-49134-6