Open AccessContact Image Sensor integration in Fused Filament Fabrication machines for layer inspection
Author(s) -
Fernando Peña,
J.C. Rico,
G. Valiño,
Pedro Riesgo Fernández,
Víctor Meana,
Pablo Zapico
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1193/1/012091
Subject(s) - scanner , software , image sensor , layer (electronics) , image processing , computer science , automated optical inspection , fabrication , artificial intelligence , engineering , computer vision , computer hardware , image (mathematics) , materials science , nanotechnology , programming language , medicine , alternative medicine , pathology
One of the limiting factors for industrial application of additive manufacturing (AM) is the lack of geometrical accuracy of manufactured parts. To improve precision, non-contact sensors should be integrated into AM machines, capable of performing in-situ inspection of the part and being able to detect and compensate for the actual geometrical errors. A non-contact digitizing system is proposed in this work for the inspection of the deposited material layers, based on a Contact Image Sensor (CIS) extracted from a commercial flatbed paper scanner. In order to integrate this sensor in an AM machine, a methodology was developed that includes the sensor operation analysis, the design of the necessary hardware and software to be externally controlled and the subsequent processing of the captured images. Results prove that the CIS sensor can be integrated in any device external to the original scanner.