Vibro Machine for Part Sequencing

Abstract

This project presents the development of a vibro machine designed for controlled vibration applications, such as material handling, sorting, and compacting. The system utilizes a 12V coil electromagnet with a 15kg pulling capacity to generate vibrations, which are transmitted through a bowl. To facilitate efficient oscillations, an FR4 sheet acts as a spring mechanism, providing the necessary restoring force. The Arduino Nano serves as the main control unit, generating adjustable pulse signals to regulate the electromagnet’s activation. A MOSFET IRFZ44 is used as a switching device between the microcontroller and the electromagnet, ensuring efficient power delivery and control. By adjusting the pulse width and frequency, the vibration intensity can be finetuned based on application requirements.

Introduction

This project presents a cost-effective, energy-efficient, and modular vibro machine designed for industrial automation tasks like material handling, sorting, feeding, and compacting. The system uses a 12V coil electromagnet (15kg pull capacity) controlled by an Arduino Nano and MOSFET IRFZ44 to produce precise, controlled vibrations.

A flexible FR4 sheet acts as a spring mechanism to maintain oscillation while minimizing energy loss. The Arduino generates PWM (Pulse Width Modulation) signals to control vibration intensity and frequency, allowing for high precision and customizability.

Key Components & Working Principle:

• Arduino Nano: Generates PWM signals to control vibration.

• MOSFET IRFZ44: Efficiently switches power to the electromagnet.

• Electromagnet (12V, 15kg): Creates vibration via rapid on/off cycles.

• FR4 Sheet: Acts as a spring to maintain vibration with low energy loss.

Advantages:

• Low-cost components make it economically viable.

• Energy-efficient operation through optimized power switching.

• Customizable and scalable to different industrial applications.

• Low maintenance due to absence of mechanical gears/motors.

Expected Outcomes:

• Fully functional vibro machine with adjustable vibration control.

• Enhanced power efficiency and reduced operational costs.

• Flexible application in industrial automation and material processing.

Problem Statement:

Traditional vibratory systems are expensive, complex, and often inefficient. This project addresses the need for a simple, flexible, and low-power alternative for controlled vibration in automation systems.

Literature Review Insights:

• Vibration systems improve material handling efficiency and metal recovery.

• Precise control of vibrations can prevent equipment damage.

• Vibration-based machines are already in use in sectors like tea processing, metal recycling, and engineering simulations.

Future Scope:

The system can be improved with:

• Advanced control algorithms (e.g., AI or ML integration).

• Wireless connectivity for remote monitoring and tuning.

• Use of new materials for improved durability and performance.

• Expansion to more complex industrial and agricultural tasks.

Conclusion

The proposed vibro machine system provides an efficient and cost-effective solution for generating vibrations using an electromagnetic mechanism, controlled through Arduino Nano and a MOSFET switching system. The adjustability of vibration frequency and intensity, along with energy-efficient design, makes the system highly adaptable for various industrial applications such as material handling, sorting, and automated processes. By leveraging PWM control, the system achieves precise vibration control, while the MOSFET IRFZ44 ensures reliable power switching, minimizing energy losses. The spring mechanism (FR4 sheet) optimizes vibration dynamics, ensuring smooth oscillations with minimal maintenance. With a low-maintenance, compact, and reliable design, the vibro machine is well-suited for environments where cost, efficiency, and flexibility are essential. Additionally, its future potential to integrate with IoT, machine learning, and AI technologies opens up new opportunities for intelligent vibration control, predictive maintenance, and automation in industrial systems. The development of this vibro machine marks a significant step towards creating smarter, energyefficient, and customizable vibration solutions for a variety of applications.

References

[1] Antoni, RB Randall Mechanicalsystems and signal processing 18 (1), 103-117, 2004 [2] Ildar Badrtdinov, Salavat Mudarisov, Eduard Khasanov Salavat Akchurin Mathematical Modelling f Engineering Problems 9 (1), 2022 [3] AFedotov, GDenisov EMC’91: Non-Ferrous Metallurgy—Present and Future, 257, 2012 [4] Cristea Aurora Felicia, B?lc?u Carmen Monica, Haragâ? Simion communications and Computers (CSCC), 1-6, 2023 [5] CA Gulo, M Rahayu, S Martini, MI Kurniawan IOP Conference Series: Materials Science and Engineering 528 (1), 012009, 2019

Copyright

Copyright © 2025 Nirmale Priyanka S, Makote Kajal S, Chougule Vaishnavi S, Patil Mahi S, Pandhare A M S, Khot A B S. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.