Design and Shape Optimization of Strain Gauge Load Cell for Axial Force Measurement for Test Benches
Journal article
Al-Dahiree, O., Tokhi, M., Hassan Hadi, N., Rasheid Hmoad, N., Ariffin Raja Ghazilla, R., Yap, H. and Abdullah Albaadani, E. (2022). Design and Shape Optimization of Strain Gauge Load Cell for Axial Force Measurement for Test Benches. Sensors. 22 (19), p. 7508. https://doi.org/10.3390/s22197508
Authors | Al-Dahiree, O., Tokhi, M., Hassan Hadi, N., Rasheid Hmoad, N., Ariffin Raja Ghazilla, R., Yap, H. and Abdullah Albaadani, E. |
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Abstract | The load cell is an indispensable component of many engineering machinery and industrial automation for measuring and sensing force and torque. This paper describes the design and analysis of the strain gauge load cell, from the conceptional design stage to shape optimization (based on the finite element method (FEM) technique) and calibration, providing ample load capacity with low-cost material (aluminum 6061) and highly accurate force measurement. The amplifier circuit of the half Wheatstone bridge configuration with two strain gauges was implemented experimentally with an actual load cell prototype. The calibration test was conducted to evaluate the load cell characteristics and derive the governing equation for sensing the unknown load depending on the measured output voltage. The measured sensitivity of the load cell is approximately 15 mV/N and 446.8 µV/V at a maximum applied load of 30 kg. The findings are supported by FEM results and experiments with an acceptable percentage of errors, which revealed an overall error of 6% in the worst situation. Therefore, the proposed load cell meets the design considerations for axial force measurement for the laboratory test bench, which has a light weight of 20 g and a maximum axial force capacity of 300 N with good sensor characteristics |
Year | 2022 |
Journal | Sensors |
Journal citation | 22 (19), p. 7508 |
Publisher | MDPI |
ISSN | 1424-8220 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/s22197508 |
Web address (URL) | https://www.mdpi.com/1424-8220/22/19/7508 |
Publication dates | |
Online | 03 Oct 2022 |
Publication process dates | |
Accepted | 30 Sep 2022 |
Deposited | 10 Oct 2022 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/92224
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