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Remote Access to Real Time Data Logger for Cam-Jump Phenomenon using IoT

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 05 | May 2024

p-ISSN: 2395-0072

www.irjet.net

Remote Access to Real Time Data Logger for Cam-Jump Phenomenon using IoT Vishal P. Jadhav1, Prasad P. Kale2, Roshni A. Kutpelli3 , Utkarsha N. Zambare4, Prof. (Dr.) Nilesh Alone5 1,2,3,4 Students, Mechanical Engineering, JSPM Jaywantrao Sawant College Of Engineering, Pune, Maharashtra,

India

5 Professor, Dept. of. Mechanical Engineering, JSPMs Jaywantrao Sawant College Of Engineering, Pune,

Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------➢ This project is to develop cam-follower analysis ABSTRACT experimental setup using IoT and make them advanced and of new technology for getting reducing error make simple to understand experiment. and involve IoT in mechanical Labs.

In this project we design and develop cam-follower analysis experimental setup. Moreover, we show that this system could be successfully used as an advanced method to study the experiment for students. The project design of this study included the following steps:

➢ This development achieved by the IoT and sensors which is done on the cam-follower analysis experimental setup, which is also work as preventive maintenance by avoiding cam jump phenomenon.

Our project help to study the cam jump phenomenon , this design plot the graph of the weight(gm) vs speed(rpm) in digital form show on attached PC or on mobile using IoT.

1.1 PROBLEM STATEMENT

This system typically includes the experimental setup , Data logger , proximity Sensor, ESP8266 controller , Wificonnections and Computer or Mobile for plot graph.

Develop an IoT-based cam-follower analysis experimental setup to measure the speed (rpm) of a camshaft and plot a graph of weight versus speed for cam jump phenomenon. This system aims to eliminate human errors, reduce effort, and save time associated with manual RPM measurement and graph plotting. By using sensors and IoT technology, the setup will facilitate fast, accurate, and real-time data logging and digital graph plotting of weight(gm) vs speed(rpm)

This project setup help to study the variations of the change in applied weight vs speed. This technology reduce the errors in readings of the parameter which involve in manually reading , and improve accuracy.

1.1.1 Visualization Context and Motivation: In traditional cam analysis experiments, measuring the speed of the camshaft using a tachometer is sometimes prone to human errors. Manually plotting graphs of weight versus speed on paper is time-consuming. These challenges necessitate an automated solution to enhance accuracy and real time data visualization when conducting cam-follower analysis experiments.

Key Words: cam jump , IoT , sensors , Arduino, Rpm. 1. INTRODUCTION This Cam and follower mechanism is a preferred mechanism due to its important functions of all most all the reciprocating machines used in transportation, medical, and production industries etc. A cam is a rotating or translating part of the cam follower mechanism that can transmit from one type motion to another.

1.2 OBJECTIVES ➢Combining Classroom and Laboratories together.

➢ Cam jump phenomenon is starting in the cam follower mechanism after their some speed range this project is develop for to plot this cam jump critical speed on applying different weight.

➢Develop cam-follower analysis experimental setup and make it advanced. ➢ Bringing information on screen more quickly than system depending on human intervention.

➢ The idea of the Internet of Things has changed as a result of the confluence of several technologies, including embedded systems, wireless communication, and the Internet. (For example, automation of control systems, wireless sensor networks, and embedded systems).

© 2024, IRJET

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Impact Factor value: 8.226

➢ Enable remote monitoring and control on cam jump phenomenon of cam-follower analysis experimental setup setup , offering accuracy.

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