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- Industry 4.0 Machine-to-Machine Communication Protocols and Architectures on the Shop FloorPublication . Cavalcanti, Marcella; Costelha, Hugo; Neves, CarlosThe concept of Industry 4.0 and the introduction of the Internet of Things (IoT) on industrial applications, known as Industrial Internet of Things (IIoT), have been changing the scenario of industrial automation. This new paradigm is expected to optimize industrial processes, increase productivity, lower costs and improve operations integration. For that, structured Machine-to-Machine (M2M) communication is key to ensure agility, interoperability and reliability, with several solutions currently available in the literature and in industry. This paper reviews the state of the art on industrial communication protocols and architectures, providing a classification and comparison of these different solutions based on their most relevant features in the context of Industry 4.0.
- A review on Robot-Assisted Additive Manufacturing Systems and TechnologiesPublication . Cavalcanti, M.; Costelha, Hugo; Neves, CarlosAbstract. The general use of robot manipulators in the Additive Manufacturing (AM) world could cause a paradigm shift on how these technologies are used today. Adding more degrees of freedom to the AM systems decreases the limita tions of current mainstream additive technologies, such as restricted build volume, high manufacturing times, and the use of support structures. However, existing traditional techniques for slicing 3D models and path planning generation do not translate smoothly into the requirements and constraints of robot manipulator systems. This paper presents a state-of-the-art review on the current systems and technologies, as well as advantages and challenges on the use of robot manipulators in AM, focusing on extrusion-based processes.
- Trajectory Generation for Robotic Additive Manufacturing: A Comparative StudyPublication . Cavalcanti, Marcella; Costelha, Hugo; Neves, CarlosThe integration of robot manipulators into additive manufacturing processes, particularly in fused filament fabrication, presents opportunities to overcome limitations of traditional three-axis systems. By leveraging the additional degrees of freedom, more versatile and efficient manufacturing solutions can be developed. However, this increased complexity introduces new challenges, including the need for trajectory planning that accounts for reachability, singularities, collision avoidance, and material deposition in various build orientations. This study focuses on the development and evaluation of trajectory generation approaches for robotic FFF using an ABB CRB 15000 manipulator. All approaches began with the same G-code input, and tests were conducted both in simulation and on the real robot. The results were analyzed in terms of trajectory accuracy, joint speed and acceleration profiles, parameters influence, and the Quality of the printed parts.
- Industrial Robot Trajectory Generation and Execution for 3D Printing using an ABB IRB 1200Publication . Cavalcanti, Marcella; Costelha, Hugo; Neves, CarlosThe use of industrial robots in additive manufacturing processes has become increasingly important, offering more flexibility and the capability of multi-directional printing. This integration facilitates the production of more complex geometries, free from the limitations of small build volumes and support structures, opening new possibilities for innovation in advanced manufacturing systems. As the complexity of the printed structures grows, optimizing robot trajectories is essential to ensure high-quality results. This work presents a comparative analysis of robot trajectory generation and execution using ABB's 3D Printing Power Pack and generated RAPID coding in both simulated and real environments. The objective is to assess the use of the Power Pack in term of trajectory accuracy and efficiency, as well as how the simulated results compare with the real ones, considering the use-case of 3D printing. To support this analysis, a "test pattern" was designed to account for different trajectories, consisting of a single line extrusion path featuring long linear segments, corners, and curved sections. The path was converted into both G-code and RAPID code. The G-code was first validated on a standard 3D printer and then used as input in the 3D Printing Power Pack application to generate a RAPID program for the robot. Separately, another RAPID program was created manually to execute the same path, based on the G-code. Both programs were executed on a simulated environment in RobotStudio, and on an ABB IRB 1200 robot. Throughout the tests, the robot’s Tool Center Point (TCP) position was captured using ABB’s Externally Guided Motion (EGM) application.