Conductive ink print on PA66 gear for manufacturing condition monitoring sensors

Shintaro Futagawa; Daisuke Iba; Takahiro Kamimoto; Morimasa Nakamura; Nanako Miura; Takashi Iizuka; Arata Masuda; Akira Sone; Ichiro Moriwaki

doi:10.1117/12.2295771

27 March 2018 Conductive ink print on PA66 gear for manufacturing condition monitoring sensors

Shintaro Futagawa, Daisuke Iba, Takahiro Kamimoto, Morimasa Nakamura, Nanako Miura, Takashi Iizuka, Arata Masuda, Akira Sone, Ichiro Moriwaki

Author Affiliations +

Proceedings Volume 10602, Smart Structures and NDE for Industry 4.0; 106020R (2018) https://doi.org/10.1117/12.2295771
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2018, Denver, Colorado, United States

Abstract

Failures detection of rotating machine elements, such as gears, is an important issue. The purpose of this study was to try to solve this issue by printing conductive ink on gears to manufacture condition-monitoring sensors. In this work, three types of crack detection sensor were designed and the sprayed conductive ink was directly sintered on polyimide (PI) - coated polyamide (PA) 66 gears by laser. The result showed that it was possible to produce narrow circuit lines of the conductive ink including Ag by laser sintering technique and the complex shape sensors on the lateral side of the PA66 gears, module 1.0 mm and tooth number 48. A preliminary operation test was carried out for investigation of the function of the sensors. As a result of the test, the sensors printed in this work should be effective for detecting cracks at tooth root of the gears and will allow for the development of better equipment and detection techniques for health monitoring of gears.

Citation Download Citation

Shintaro Futagawa, Daisuke Iba, Takahiro Kamimoto, Morimasa Nakamura, Nanako Miura, Takashi Iizuka, Arata Masuda, Akira Sone, and Ichiro Moriwaki "Conductive ink print on PA66 gear for manufacturing condition monitoring sensors", Proc. SPIE 10602, Smart Structures and NDE for Industry 4.0, 106020R (27 March 2018); https://doi.org/10.1117/12.2295771

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