Rachmat, Muhamad Lutfi and Nasution, Henry and Setiawan, Widi (2021) Design Clutch Wear Monitoring to Provide the Right Time to Change the Clutch and Prevent Unscheduled Breakdown on Heavy Duty Trucks. Masters thesis, Swiss German University.

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Abstract

Heavy-duty trucks are a long-term investment capital in the field of heavy equipment. In fact, there are still many trucks that experience breakdowns. The most common damage is clutch damage. Based on data clutch failure occurred average at 1333 hours meter and mean clutch repair time (downtime unit) was 586 hours. This research using experimental methods to designs a clutch wear monitoring tool that can send real-time notifications (using internet of things). This device uses ultrasonic sensor to detect clutch wear and combined with SIM800L GSM Module as a data sender to the internet. Vehicle owners or foreman mechanics can monitor via Blynk application. This notification is in the form of a clutch condition that is still in a clutch normal, clutch warning and clutch limit. The accuracy of the clutch wear monitoring device when measuring the clutch limit condition is 48 mm with percentage of an inaccuracy (systematic error) 0.22% and standard deviation (statistical error) 1.27 mm. This data will be used as the basis for preparing a clutch replacement schedule, preparing a new clutch component, and preparing the working mechanic.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Accuracy, Heavy-Duty Truck Clutch, Internet of Things, SIM800L, Ultrasonic Sensor
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL230 Trucks T Technology > TS Manufactures > TS192 Plant maintenance--Management
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	17 Jan 2022 07:25
Last Modified:	17 Jan 2022 07:25
URI:	http://repository.sgu.ac.id/id/eprint/2322

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