ANALYSIS OF MODERN APPROACHES TO QUALITY ASSURANCE OF COMPLEX PARTS IN ROBOTIC PRODUCTION SYSTEMS
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.2.1.4Keywords:
robotic manufacturing systems, complex parts, intelligent machining, offline programming, touch control, adaptive controlAbstract
The article is devoted to the study of modern approaches to ensuring the quality of processing of complex parts using robotic manufacturing systems, focusing on the innovative process of intelligent robotic molding. The article considered the integration of sensor systems, artificial intelligence and force feedback for adaptive processing of parts in real time, which allows achieving high geometric accuracy without additional calibration stages. In the context of the transition to intelligent manufacturing, where the need for high-precision processing of complex parts for the aviation, space and defense industries is growing, robotic manufacturing systems are gaining key importance due to their ability to provide flexibility, adaptability and high quality processing. Offline programming methods and artificial intelligence algorithms were used to plan trajectories and correlate forces and geometry. The aim of the study is to study intelligent processes of robotic molding for processing complex parts, which provides an adaptive response to the variability of material properties. The scientific novelty lies in the justification of the use of the intelligent iRoRoFo process, which integrates roll-based straightening into the forming cycle, using force feedback to determine the geometry in real time without optical measurements. A sensor solution based on artificial intelligence algorithms is proposed to process complex dependencies between force data and geometric parameters, which is innovative for robotic systems. The developed iRoRoFo process demonstrated the ability to adaptively adjust the geometry of parts in real time, ensuring compliance with design parameters. The use of force feedback eliminated the need for complex optical systems, and the integration of artificial intelligence provided an accurate correlation between the measured forces and the resulting geometry.The results confirm the promising approach for processing complex-profile parts, opening up opportunities for scaling in current industrial conditions.
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