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Paper ID:IJSREM62623

Air Leakage Detection For Metal Container

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62623

Volume:

10 |

5 |

May 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62623

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Ayan Ayub Pathan

Ayan Ayub Pathan

Department of Electrical Engineering

TSSM’s Bhivarabai Sawant College of Engineering and Research

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Abhijeet Prakash Patil

Department of Electrical Engineering

TSSM’s Bhivarabai Sawant College of Engineering and Research

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Sandhya Ravishankar Prajapati

Sandhya Ravishankar Prajapati

Department of Electrical Engineering

TSSM’s Bhivarabai Sawant College of Engineering and Research

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Prof. Eva Gupta

Department of Electrical Engineering

TSSM’s Bhivarabai Sawant College of Engineering and Research

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Abstract

This paper presents the design and development of an automated air leak detection system for metal tanks using the pressure decay method. The system is designed to detect small leaks in metal tanks used in industrial applications. It uses a pressure sensor, microcontroller, relay-controlled pneumatic system, and display unit to monitor pressure variation. The system improves accuracy, reduces manual inspection time, and ensures reliable quality testing. The proposed system is cost-effective, user-friendly, and suitable for industrial automation.

KEYWORDS

Key Words: Leak Detection Pressure Decay Metal Tank Testing Pneumatic System Automation

Cite This Article

Ayan Ayub Pathan, Abhijeet Prakash Patil, Sandhya Ravishankar Prajapati, Prof. Eva Gupta, "Air Leakage Detection For Metal Container," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-5, May 2026. https://doi.org/10.55041/IJSREM62623

Full Article/Conclusion

In conclusion, the design and development of the air leak testing system for metal tanks represents a significant achievement in ensuring the integrity and safety of these critical components. This system, which was meticulously engineered and thoroughly tested, offers a reliable and efficient solution for detecting and preventing air leaks in metal tanks. Through this report, we have outlined the key aspects of the system's design, its development process, and the rigorous testing procedures that validate its performance. In summary, the design and development of the air leak testing system for metal tanks is a testament to the commitment to excellence in engineering and the pursuit of innovation in ensuring the quality and safety of critical infrastructure. This system is poised to make a substantial impact on the industry by enhancing the reliability and performance of metal tanks while minimizing the risks associated with air leaks. The results confirm that the proposed system provides reliable, accurate, and efficient leak detection, making it suitable for industrial applications.

References

1. AirLeakSlam: Automated Air Leak Detection Using Mobile Robots No author listed. (1990). In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA), 2019, 6703–6709. Springer.    2. Leak Detection in Storage Tank Bottoms by Pneumatic Enhancement of Acoustic Emissions Lewis, U.S. (1991). United States Patent No. 5,052,215.    3. Sensor Cable-Based Tank Leak Detection System No author listed. (No date). United States Patent No. 5,890,279.    4. Tank Provided with Leakage Detector States Patent No. 5,508,799. Link    5. Liu, Y.-f., Shi, L.x., Sa, Q.-e., Zhang, T.-n., Chal, Y.-q., Si, X.-f., Wang, Y.-m., & Li, B. J. (2023). Exploration and Application of Acoustic Emission Detection Technology in Leakage Detection of the Bottom Plate of Crude Oil Metal Storage Tanks. Journal of Hazardous Materials, 435, 129080    6. Adsul, S., Sharma, A. K., & Mevekari, R. G. (2016). Development of Leakage Detection System. Proceedings of the 2016 IEEE International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 673–677.    7. Rahimi, M., Alghassi, A., Ahsan, M., & Haider, J. (2020). Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal. Informatics, 7(4), 49.    8. Kumar, A., Sundarrajan, S., et al. (2007). Method and System for Leak Detection. United States Patent No. 7,267,032 B2. Link   9. Li, Z., Shui, A., Luo, K., Chen, J., & Li, M. (2011). SIR-Based Oil Tank Leak Detection Method. Proceedings of the 2011 IEEE International Conference on Industrial Technology (ICIT), 1–6.

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Publication Date

5/6/2026

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Review Rounds: 2

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