Artificial Intelligence based Smart Pneumatic Tools for Industrial Applications
Abstract
This study presents an advanced pneumatic instrument incorporating intelligent technologies such as smart sensors, adaptive learning algorithms, and real-time adjustable control systems, designed to optimize performance under extreme operating conditions. The tool efficiently handles fluid velocities of up to 15.2 m/s and pressures as high as 720 kPa, demonstrating an exceptional durability. It can accurately manage deformation with a precision of 0.05 mm, even under stresses of 180 MPa, while operating at a Reynolds number of 350,000. The integration of smart sensors enables immediate adaptation to the changes in material properties, optimizing force application and energy usage. This dynamic responsiveness results in a significant reduction in the power consumption by up to 30%, with the power usage dropping from 280 W during the high-pressure operation to 150 W under standard conditions. Moreover, the tool operates within an optimal thermal range, maintaining a stable temperature below 65°C, showcasing a superior thermal management. The self-calibrating capabilities of the tool, driven by adaptive algorithms, ensure a consistent performance, reduced error margins, and enhanced safety. This intelligent design not only improves the operational efficiency but also reduces the energy consumption, making it a more sustainable alternative to traditional electric machines. This study discusses the potential of smart pneumatic tools to improve productivity, reduce costs, and enhance product quality. The integration of intelligent systems into pneumatic tools represents a significant advancement in eco-friendly manufacturing, positioning them as crucial elements in the future of sustainable, high-performance manufacturing technologies.