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@article{179733,
        author = {Pranav Sudhanva Godbole and Pramod Kanjalkar and Aryaa Kher and Saumitra Kulkarni and Neeraj Pathak},
        title = {Physical Modelling of a Digital Twin for an Electro-pneumatic Actuation System using MATLAB, JSON Logging and Web-based Visualization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7485-7490},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179733},
        abstract = {In modern smart manufacturing, digital twins serve as the core of predictive maintenance and intelligent automation. This study presents a MATLAB-based digital twin for an electro-pneumatic actuator system, incorporating real-time physical modeling, JSON-based data logging, and ThingSpeak-enabled visualization. The model accepts parameters such as environmental temperature, humidity, air pressure, and lubrication type, and simulates cylinder behavior under a mechanical load. Voltage and current control a solenoid valve to actuate the system. Real-time warnings are issued upon detecting faults such as under-pressure, high temperature, or seal degradation. All operational data is stored in structured MATLAB tables and exported as JSON for interoperability. The model provides predictive insights, enabling scheduled maintenance and enhancing actuator lifespan.},
        keywords = {Digital Twin, Predictive Maintenance, pneumatic system, health monitoring.},
        month = {May},
        }