The performance of cutting tool materials (CTMs) influences the quality and lifetime of parts produced with their help. Unexpected fracturing or other failures of the tools lead to defects of parts that exaggerate materials fatigue and fracture processes. For the purpose of Industry 4 and future generations of factories it is important to enable in-situ monitoring of cutting processes while hyperspectral imaging can serve as a powerful tool. Cubic boron nitride (cBN) has extreme hardness and can provide improved wear resistance if mixed with other CTMs. Besides, such materials can be used without cooling liquids that helps to mitigate workplace health risks. The aim of the current work was to understand how well current hyperspectral imaging technologies can track the changes in performance of CTMs with addition of cBN. The paper presents the results of multiple in-situ (obtained during cutting with real lathe) and static (before or after cutting) tests performed with hyperspectral camera. The wear rate of CTMs and roughness of workpieces were measured with the help of scanning electron microscope and 3D optical profiler respectively. The effect of cBN content and effect of TiN or ZrO2 additives on performance of alumina-based CTMs produced by spark plasma sintering technique is presented.
This paper discusses the use of collaborative robots in areas where un-trained users can safely interact with industrial robots. As an example of a demonstration, it was used in an application where the robot plays a game with a museum visitor. The robot continuously interacts with the user and performs its pre-defined task while communicating with PC interface where the system informs its state to the user. Similar architecture can be applied in various industrial applications where it needs to collaborate human operators with industrial robots. The collaborative robot used in this task was ABB Yumi, the dual arm robot. During the study, it was emphasized to avoid the use of sensors while examining possible ways to simplify the system to realize the task outcome with software development. The objective of this project was achieved with provided resources in Mechatronics and Autonomous Systems Centre of Tallinn University of Technology. This paper presents the methodology, hardware and software scheme deployed in the project. This project has been demonstrated for TalTech 100 years exhibition.
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