DESIGN OF A LOAD CELL WITH LARGE OVERLOAD CAPACITY

Author:

Aghili Farhad1

Affiliation:

1. Canadian Space Agency (CSA), Saint-Hubert, Quebec, Canada, J3Y 8Y9

Abstract

To increase the signal-to-noise (S/N) ratio and sensitivity of a load cell, it is desirable to design a structure that generates large strain close to maximum allowable strain of the sensor material for a given rating load force. However, accommodating the margin of safety with respect to overloading, compromises the sensitivity. This paper presents the design, analysis, and prototype testing of a load cell which can provide large overload protection capacity without compromising the sensitivity of the sensor. This is achieved by a special design of sensor structure that becomes virtually rigid after its flexures reach their maximum deflection, thereby the sensor can be protected against a large over load. The sensor dimensions, which maximizes the sensor’s sensitivity, for given values of rating load and overload are obtained through mechanical strength analysis. A load cell prototype is fabricated and then tested to measure its linearity and overload characteristics. The experimental results show an accuracy of 0.2% of full scale and overload protection of the sensor flexures.

Publisher

Canadian Science Publishing

Subject

Mechanical Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development and Analysis of an On-Road Torque Measurement Device for Trucks;Experimental Mechanics;2024-02-27

2. Design and Implementation of Efficient IoT-Based Smart Oil Skimmer;Smart Sensors Measurement and Instrumentation;2023

3. Design and Shape Optimization of Strain Gauge Load Cell for Axial Force Measurement for Test Benches;Sensors;2022-10-03

4. IoT Based Patient Safety Monitoring System in Hospitals;2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC);2022-01-21

5. Design, machining and calibration of a strain gauge loadcell;10th International Scientific Conference “TechSys 2021” – Engineering, Technologies and Systems;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3