Work

Integrating machine learning and digital twin for strength prediction of CFRP /aluminum adhesive joints under hygrothermal conditions

Year: 2025

Type: article

Source: Polymer Composites

DOI: 10.1002/pc.29928

Authors: Noor Hadi Aysa, Sajjad Karimi

Institutions: University of Babylon, University of Hertfordshire

Language: English

Topic: Mechanical Behavior of Composites

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409446057

FWCI: 3.229

Cites: 47

Cited by: 10

Related to: 10