Effectiveness of remote control for a concrete surface grinding machine

2010 ◽  
Vol 19 (6) ◽  
pp. 734-741 ◽  
Author(s):  
Sungwoo Moon ◽  
Byongsoo Yang ◽  
Jeonghwan Kim ◽  
Jongwon Seo
2016 ◽  
Vol 23 (2) ◽  
pp. 183-193 ◽  
Author(s):  
Sungwoo MOON ◽  
Jeonghwan KIM ◽  
Jongwon SEO

The surface of concrete pavement needs to be flattened for the smoothness and comfortability of highways. Surface grinding can provide flatness in the hardened concrete surface, and improve adhesion between the existing con­crete surface and the subsequent layer. The surface grinding process, however, is executed under hazardous work condi­tions and the outcome is affected by a machine operator’s skill. Automation of this process can provide a hazard-free work environment and increase the quality of the ground surface. This paper presents an application of an automated concrete surface grinding machine that an operator can remotely control with computer assistance. A combination of hardware and software technologies was applied to prototype automated functions of the machine. Field tests demon­strated that remote control of concrete surface grinding is feasible and can be utilized as a semi-automated scheme on actual construction sites.


Vestnik LSTU ◽  
2020 ◽  
pp. 32-37
Author(s):  
A.M. Korneev ◽  
T.A. Smetannikova ◽  
A.V. Sukhanov

2020 ◽  
Vol 13 (1) ◽  
pp. 45-49
Author(s):  
Attila Debreceni ◽  
Timotei István Erdei ◽  
Szabolcs Tóth ◽  
Géza Husi

AbstractWith the increasing use of 3D printing technology, a closely related problem is that of spreading. This problem is the presence of the polymer waste created by faulty prints, and support material used during printing. To create filament from this waste, it must first be chopped into fine pieces. In this project, an original polymer grinder was designed and built, adopting the innovations of Industry 4.0. Remote control and supervision were achieved using a Raspberry Pi I. type B and an Arduino Nano. The finished project can be seen in the faculty of engineering at the University of Debrecen.


2012 ◽  
Vol 2 (2) ◽  
Author(s):  
Yuting Yang ◽  
Jianzhong Lin ◽  
Shilong Xu

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