Proceedings of the
9th International Conference of Asian Society for Precision Engineering and Nanotechnology (ASPEN2022)
15 – 18 November 2022, Singapore
doi:10.3850/978-981-18-6021-8_OR-02-0216
Design and Development of a Concrete Surface Roughness Assessment Device
Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, 138683, Singapore
ABSTRACT
In the construction industry, concrete surface grinding tasks result in a very dusty environment, posing health and safety risks to the workers. There are semi-automated and automated robotic solutions which aim to alleviate the strenuous polishing/grinding work through the use of supporting mechanisms, and even incorporating a vacuum system with the aim of minimizing the dust produced. However, the feedback of the grinding task is still done manually through visual and tactile means. This means that the automated solutions are still reliant on the human worker to provide the feedback. Looking to address this gap, this paper presents the design and development of a concrete surface roughness assessment device, based on a planar two degrees-of-freedom gantry robot configuration and fitted with a CMOS infra-red sensor to measure the surface depth. A hand-held prototype was developed, and the trial results indicated that the device was able to capture the man-made bulges and depressions at a mean distance of 10 cm of varying depths (up to a few centimeters) with measurement accuracy of approximately 5%.
Keywords: Mechatronics, Gantry Robot, Surface Assessment
Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, 138683, Singapore
ABSTRACT
In the construction industry, concrete surface grinding tasks result in a very dusty environment, posing health and safety risks to the workers. There are semi-automated and automated robotic solutions which aim to alleviate the strenuous polishing/grinding work through the use of supporting mechanisms, and even incorporating a vacuum system with the aim of minimizing the dust produced. However, the feedback of the grinding task is still done manually through visual and tactile means. This means that the automated solutions are still reliant on the human worker to provide the feedback. Looking to address this gap, this paper presents the design and development of a concrete surface roughness assessment device, based on a planar two degrees-of-freedom gantry robot configuration and fitted with a CMOS infra-red sensor to measure the surface depth. A hand-held prototype was developed, and the trial results indicated that the device was able to capture the man-made bulges and depressions at a mean distance of 10 cm of varying depths (up to a few centimeters) with measurement accuracy of approximately 5%.
Keywords: Mechatronics, Gantry Robot, Surface Assessment
