Mitigating Frame Cracks in Off-Highway Vehicle: A Combined Approach of Finite Element Analysis and IoT-based Chassis Health Monitoring System

Raj vigneshwar R, Rohith S.M, Ravi Shankar K, Mahi Kaarthik G, Shanthi P
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Abstract

A Heavy-duty cargo truck manufactured by the Chinese company SHACMAN X3000 is designed and analyzed in this paper. Here, this paper developed a Chassis Health Monitoring System (CHMS). The objective of the system is improving the safety measures by combining computational techniques using FEA on static structural and Modal analysis followed by experimental work by implementation of IoT for monitoring and validation purposes. In this paper, for analysis purpose, we selected four critical points based on the survey and underwent the analysis by computational tool. The CHMS consists of a Force sensor, a Flux sensor, and RGB with Arduino, which is to collect and analyze to monitor the frame. The analyzed results give the optimal value in the frame near the critical areas, which results the crack. The CHMS, it a pre-alert system and safe guard the chassis.
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减轻非公路车辆的车架裂缝:有限元分析和基于物联网的底盘健康监测系统的组合方法
本文设计并分析了中国公司 SHACMAN X3000 生产的重型货运卡车。本文开发了底盘健康监测系统(CHMS)。该系统的目标是通过结合使用有限元分析静态结构和模态分析的计算技术,以及通过物联网监控和验证的实验工作来提高安全措施。在本文中,为了进行分析,我们根据调查选择了四个关键点,并使用计算工具进行了分析。CHMS 由一个力传感器、一个流量传感器和带有 Arduino 的 RGB 组成,用于收集和分析监控框架。分析结果会给出车架临界区域附近的最佳值,从而产生裂缝。CHMS 是一个预先警报系统,可以保护底盘的安全。
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