Work

Automated Fiber Placement Defects: Automated Inspection and Characterization

Year: 2018

Type: article

Source: NASA Technical Reports Server (NASA)

Authors: Christopher Sacco, Anis Baz Radwan, Ramy Harik, Michael Van Tooren

Institution: University of South Carolina

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2965525866

FWCI: 1.904

Cites: 5

Cited by: 23

Related to: 10