Abstract: Journal of Autonomous Vehicles, Drones, and Intelligent Mobility

Abstract:
The construction industry lags in adopting automation compared to other sectors, continuing to face challeng es such as inefficiency and quality inconsistencies. 3D Concrete Printing (3DCP) has emerged as a ground breaking technology, offering advantages like improved speed, design flexibility, and reduced waste. Despite its potential, 3DCP encounters issues with process precision and scalability. This research proposes inte grating Cyber-Physical Systems (CPS) into 3DCP to address these challenges. The CPS framework employs real-time sensing, data processing, and feedback control to monitor and adjust key parameters during print ing. By utilizing advanced algorithms and adaptive mechanisms, CPS ensures precision, minimizes material waste, and enhances scalability. Validation and testing confirm significant improvements in layer consistency and automation. This work contributes to developing smart, efficient 3DCP processes suitable for large-scale applications and sets the stage for future AI-driven enhancements in real-world construction environments.