Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Randhawa, Princy; Adusumilli, Sri Bhargav Krishna; Poddutoori, Jaipal Reddy; Podduturi, Mahipal; Dighe, Akshay Atul; Devesh, Sonal Title A name given to the resource Artificial Intelligence based Smart Pneumatic Tools for Industrial Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Engineered Science;Volume;35;Issue;;Article No.;1368; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.30919/es1368" target="_blank" rel="noreferrer noopener">https://doi.org/10.30919/es1368</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010416222?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010416222?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource Adaptive control systems; Industrial automation; Next-generation pneumatic tools; Operational efficiency; Precision engineering; Sustainable manufacturing Publisher An entity responsible for making the resource available Engineered Science Publisher Relation A related resource ISSN: 2576988X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online