The task of bin picking is to automatically unload objects from a container using a robotic manipulator. A widely used solution is to organize the objects into a predictable pattern, e.g., a workpiece carrier, in orde...
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The task of bin picking is to automatically unload objects from a container using a robotic manipulator. A widely used solution is to organize the objects into a predictable pattern, e.g., a workpiece carrier, in order to simplify all integral subtasks like object recognition, motion planning and grasping. In such a case, motion planning can even be solved offline as it is ensured that the objects are always at the same positions. However, there is a growing demand for non-structured bin picking, where the objects can be placed randomly in the bins. This arises from recent trends of transforming classical factories into smart production facilities allowing small lot sizes at the efficiency of mass production. Due to unknown positions of the objects in the non-structured bin picking scenario, trajectories for the manipulator cannot be precomputed, but they have to be computed online. Sampling-based motion planning methods like Rapidly Exploring Random Tree (RRT) can be used to plan the trajectories. In this paper, we propose a modification of RRT for distributed motion planning aiming to reduce the runtime. The planning task is first simplified by computing several guiding waypoints. The waypoints are distributed to a set of planners running in parallel and each planner computes a short trajectory between two given waypoints. Connecting the waypoints is easier than solving the original task, therefore each planner runs fast. In comparison to other parallel motion planning techniques, the proposed approach does not require any communication among the computational nodes, which is more suitable for cloud-based computing. The proposed work has been verified both in simulation and on a prototype of a bin picking system.
Micro-milling tools made of cemented carbide suffer from fast tool wear and random tool breakage during the machining process. The cutting material cemented carbide is composed of a hard material phase made of tungste...
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ISBN:
(纸本)9780995775107
Micro-milling tools made of cemented carbide suffer from fast tool wear and random tool breakage during the machining process. The cutting material cemented carbide is composed of a hard material phase made of tungsten carbide and a binder phase made of cobalt. An allotropical crystal lattice transformation of the binder phase at a temperature υ = 420 °C leads to increased tool wear. Commonly minimum quantity lubrication (MQL) is used as cooling lubricant technology in micro-milling. In this work a new liquid covered cooling lubricant (LCCL) technology and the commonly used MQL technology were compared regarding tool wear of cemented carbide tools for machining the steel STAVAX ESU. In the LCCL technology the cutting process is completely covered with cutting lubricant. It could be concluded that the new LCCL technology offers a high potential to reduce the tool wear in micro-milling of steel with cemented carbide micro-milling tools.
Product-Service systems (PSS) are offerings combining product, service and, in some cases, internet-of-things (IoT) functionalities to a uniform value proposition (e.g. car sharing), which promises higher customer val...
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Product-Service systems (PSS) are offerings combining product, service and, in some cases, internet-of-things (IoT) functionalities to a uniform value proposition (e.g. car sharing), which promises higher customer value, greater sustainability, constant revenue streams and other benefits. The development of PSS, however, adds extra complexity to development processes compared to stand-alone products. While a lot of research exists in the field of PSS development processes, application in industry is still low. One possible explanation for that is that the plan-driven logic behind process models, which differs from the trends regarding agility and new iterative management models. Hence, as a result it needs to be clarified if agile approaches can benefit PSS design models? Fourteen researchers in the domains of PSS development and process model design from the University of São Paulo and Technical University of Berlin met in two workshop sessions, lasting for four days each, in order to explore barriers for industry application of PSS development theory and to identify research opportunities regarding agile approaches for more practical PSS design models. The research team has conducted multiple sessions using different methods such as world café, concept map, cause-effect diagram, in order to identify research questions. Industry experts, who attended the workshop, as well as visits to PSS providers in Germany and Brazil, have been used to verify our findings assuring practical relevance. This paper presents a list of research opportunities identified that consolidate an initial research agenda. We found that it is necessary to explore the potentials of agile approaches in PSS design to better synchronize development cycles, to incorporate different stakeholders and their interfaces and to adapt development plans to dynamic environments. These research routes can be a solution for practical, flexible and simple PSS design models.
Micro electrical discharge milling is an alternative to die-sinking EDM for the machining of three-dimensional micro-structures or cavities with free-form surfaces. An important advantage provided by micro-EDM milling...
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ISBN:
(纸本)9780995775107
Micro electrical discharge milling is an alternative to die-sinking EDM for the machining of three-dimensional micro-structures or cavities with free-form surfaces. An important advantage provided by micro-EDM milling for this purpose is the possibility to use simple pin or tube electrodes with diameters de ≤ 500 μm. This reduces the manufacturing costs of the workpiece and decreases the setup time for positioning electrodes. The high density of conventional dielectric fluids and the resulting small working gap cause a severe contamination of the working gap with particles and as a consequence short-circuits and process instability. The use of gaseous dielectrics, like compressed air, leads to enhancements in the flushing conditions and the cooling of the tool and workpiece electrodes. The gas is injected through the tube electrode under high pressure, resulting in high flow velocities and a removal of melted material from the working gap. A new spindle with a maximum rotation speed of n ≤ 400,000 rpm was developed by the institute for Machine Tools and Factory Management IWF of the Technische Universität Berlin for the realization of micro dry-EDM milling with tube electrodes. The high speed rotation of the tool electrode stabilizes the process and increases the material removal rate due to better flushing conditions. This paper presents the equipment and machining results of dry-EDM milling of simple micro-scale features.
The physical vapour deposition (PVD) process is widely used for the coating of cutting tools. The increased hardness and temperature stability permitted a higher cutting speed and longer tool life in comparison to unc...
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ISBN:
(纸本)9780995775107
The physical vapour deposition (PVD) process is widely used for the coating of cutting tools. The increased hardness and temperature stability permitted a higher cutting speed and longer tool life in comparison to uncoated tools. Within the PVD-process droplets of the target can be deposited on the coated surface. The consequence is an inhomogeneous surface of the cutting tools with an increased surface roughness. In this study, the immersed tumbling process is used for the droplet removal of micro-milling tools. The results show the functionality of the process for the droplet removal depending of the lapping media and process parameters in connection with the amount and size of the droplets.
In summary, the components manufactured additively through SLM proved to have characteristics similar to conventionally manufactured parts in high temperatures. Especially when testing the material properties with tem...
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In summary, the components manufactured additively through SLM proved to have characteristics similar to conventionally manufactured parts in high temperatures. Especially when testing the material properties with temperatures higher than 300 °C. This assumption is not only supported by a quantitative analysis of the material properties, but also by characterizing the microstructure of the SLM samples. Moreover, a database is constituted, which can help to design and plan components built using SLM through extensive simulations. Future works, should study the different possibilities of constructing the tensile test samples. Moreover, studies could focus on other types of super alloys such as Inconel 718, which is often employed in the same context as Ti-6Al-4V.
In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We pro...
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In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.
Special machinery manufacturers provide customer specific solutions. These specific solutions create tremendous challenges for employees during first assembly, erection at the customer site and future service activiti...
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Special machinery manufacturers provide customer specific solutions. These specific solutions create tremendous challenges for employees during first assembly, erection at the customer site and future service activities. Especially in serial production, Learning Factories proved to be an effective solution to convey competencies for employees on how to improve production related processes. In special machinery, product specific competencies like working principle and built up of machines are additionally important. Therefore, to utilize the advantages of Learning Factories in special machinery it is necessary to shift the focus from processes to products. This results also in additional requirements regarding versatility of the technical infrastructure. A learning process planning approach which addresses requirements of special machinery assembly, has been designed. It was exemplarily applied for the knowledge transfer regarding the assembly process of an integrally geared compressor. As every product in special machinery is unique, learning process steps have to be adapted for each product. Therefore, a shorter assembly learning process is necessary to cope with continuing product innovations and customer requirements. Around a basic compressor casing that represents the least common denominator regarding product variety, specific interchangeable sub-assemblies for product variants are implemented that utilize digital content. This allows a fast adaption to different product variants.
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