ItemArticle

Artificial Intelligence based Smart Pneumatic Tools for Industrial Applications

Title
Artificial Intelligence based Smart Pneumatic Tools for Industrial Applications
Creator
Randhawa, Princy; Adusumilli, Sri Bhargav Krishna; Poddutoori, Jaipal Reddy; Podduturi, Mahipal; Dighe, Akshay Atul; Devesh, Sonal
Description
This study presents the development and evaluation of a next-generation pneumatic instrument integrated with intelligent technologies aimed at enhancing operational efficiency, adaptability, and sustainability in advanced manufacturing environments. The system features smart sensors, adaptive learning algorithms, and real-time adjustable control mechanisms, enabling it to function effectively under extreme operating conditions. It handles fluid velocities up to 15.2 m/s and pressures as high as 720 kPa, demonstrating robust structural integrity and reliability. Notably, the instrument maintains precise control over material deformation with an accuracy of 0.05 mm, even under mechanical stress levels reaching 180 MPa and at a Reynolds number of 350,000. The embedded smart sensors facilitate instantaneous responsiveness to fluctuations in material behavior, dynamically optimizing both force application and energy efficiency. This results in a significant 30% reduction in power consumption, with operational power decreasing from 280 W in high-pressure scenarios to just 150 W under standard conditions. Furthermore, the tool exhibits superior thermal management, maintaining operational temperatures below 65 C. Its self-calibrating functionality, driven by intelligent algorithms, ensures consistent output, minimized error margins, and enhanced safety over extended use. Compared to traditional electrically driven systems, this intelligent pneumatic tool offers a more sustainable and cost-effective solution by reducing energy demand and extending service life. The integration of advanced sensing and control systems transforms conventional pneumatic tools into adaptive, high-performance devices suitable for modern, eco-conscious manufacturing setups. This research highlights the transformative potential of intelligent pneumatic systems in driving productivity, reducing operational costs, and supporting the transition to greener, more sustainable industrial practices. The Author(s) 2025.
Source
Engineered Science;Volume;35;Issue;;Article No.;1368;
Date
01-01-2025
Publisher
Engineered Science Publisher
Subject
Adaptive control systems; Industrial automation; Next-generation pneumatic tools; Operational efficiency; Precision engineering; Sustainable manufacturing
Coverage
Randhawa P., Department of Mechatronics Engineering, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Adusumilli S.B.K., Mindquest Technology Solutions LLC, Phoenix, 85027, AZ, United States; Poddutoori J.R., BBU, 162 Bowery Lane, Downingtown, 19335, PA, United States; Podduturi M., Penske Corporation, 727 Houston St., Downingtown, 19335, PA, United States; Dighe A.A., Permobil Inc, New Berlin, 53151, WI, United States; Devesh S., School of Management, Christ University, Karnataka, Bengaluru, 560029, India
Rights
All Open Access; Gold Open Access
Relation
ISSN: 2576988X;
Format
online
Language
English
Type
Article

Citation

Randhawa, Princy; Adusumilli, Sri Bhargav Krishna; Poddutoori, Jaipal Reddy; Podduturi, Mahipal; Dighe, Akshay Atul; Devesh, Sonal, “Artificial Intelligence based Smart Pneumatic Tools for Industrial Applications,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23465.

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