Work

Experimental Insights and Machine Learning Predictions on Flexural Strength of 3d-printed Polylactic Acid

Year: 2025

Type: article

Source: Surface Review and Letters

DOI: 10.1142/s0218625x25501525

Authors: J. NAGARJUN, N. SARAVANAKUMAR, S. THIRUMALAI KUMARAN, A. ANTO DILIP, A. BALASUADHAKAR

Institutions: PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH, AMET University

Language: English

Topic: Additive Manufacturing and 3D Printing Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408201240

FWCI:

Cites: 37

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Related to: 10