In modern production environments employees work progressively closer together with autonomous robots and vehicles. Besides the technical specifications, the development of these products focuses on the human-machine ...
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In modern production environments employees work progressively closer together with autonomous robots and vehicles. Besides the technical specifications, the development of these products focuses on the human-machine interaction. Within the federally funded Project FOLLOWme an automated guided vehicle (AGV) for intralogistics that follows and interacts with the user is developed using virtual reality based prototypes. The benefits in comparison to using only physical prototypes are on the one hand specific user feedback regarding ergonomics and trust. On the other hand the validation of navigation and collision avoidance algorithms and optimization of technical parameters is achieved considering complex environmental conditions. This paper focuses on the latter in detail and deals with the optimization of a fuzzy logic controller using the game engine Unity3D to create the required virtual setup. This approach saves valuable time at early project stages and allows the optimization of a larger number of parameters compared to just physical tests. Furthermore it reduces resources like occupied physical infrastructure and improves the comprehension by using virtual reality.
The paper analyses different assessment methods for the overall equipment effectiveness (OEE), energy efficiency and productivity of equipment and production systems. The proposed model and systematic assessment appro...
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The paper analyses different assessment methods for the overall equipment effectiveness (OEE), energy efficiency and productivity of equipment and production systems. The proposed model and systematic assessment approach define the total and relative resource efficiency of equipment, technologies and production systems in the form of material, energy and information efficiency. This common resource efficiency assessment method is based on the physical and mathematical equivalence of efficiency indicators including probable events for resource usability. Three typical relations, determining any kind of efficiency, are obtained from those equivalents. Examples for resource efficiency assessment types are energy efficiency, productivity and accuracy. Integrated evaluation indicators for a comparative benchmarking of equipment, technologies and production systems are provided based on the equivalence assessment method and the proposed three typical relations. This method is also applicable to process chains.
In this contribution, a computational approach for the manufacturing of multi-material lightweight parts is presented. For an efficient online optimization procedure, a proper orthogonal decomposition on offline obtai...
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In this contribution, a computational approach for the manufacturing of multi-material lightweight parts is presented. For an efficient online optimization procedure, a proper orthogonal decomposition on offline obtained numerical results is carried out to construct a surrogate model. The functionality of the proposed framework is demonstrated on a use case study of a multi-material component consisting of a sheet metal basic structure and a plastic reinforcement structure. The manufacturing process chain consists of a deep drawing process followed by an injection molding process of short fiber reinforced plastics. The proposed methodology provides a fast and accurate computational model for structural properties with respect to the process settings.
Many approaches focus on more efficient production processes, on avoiding waste and scrap and on more efficient use/operation of products within one life cycle, i.e. from raw materials to the end of use. All these app...
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The cutting performance of PVD coated tools can be significantly improved by appropriate pre- and post- treatments of the substrates and coated surfaces respectively. Substrate pre-treatments aim, among others, at imp...
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We present the first VR training simulator for hip replacement surgeries. We solved the main challenges of this task - high and stable forces during the milling process while simultaneously a very sensitive feedback i...
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We present the first VR training simulator for hip replacement surgeries. We solved the main challenges of this task - high and stable forces during the milling process while simultaneously a very sensitive feedback is required - by using an industrial robot for the force output and the development of a novel massively parallel haptic rendering algorithm with support for material removal.
In order to respond to environmental requirements, a growing number of manufacturing companies operate on-site renewable energy generation as part of their own energy supply. As a vision, plants could be fully energy ...
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In order to respond to environmental requirements, a growing number of manufacturing companies operate on-site renewable energy generation as part of their own energy supply. As a vision, plants could be fully energy self-sufficient and independent from electricity suppliers. From perspective of manufacturing systems, this requires the ability to flexibly adapt the energy demand of production machines and processes to current electricity generation and availability from grid. Such energy flexible manufacturing systems can achieve different development levels of energy flexibility: energy demand flexibility, balanced energy self-sufficiency and real energy self-sufficiency. Within this work, scenario-based simulations are used to assess strategies towards energy self-sufficiency for the case of a manufacturing system in a learning factory environment. Several aspects regarding dimensioning of on-site renewable energy generation and resulting oversupply, productivity and demand side management are addressed to show occurring tradeoffs related with energy self-sufficiency. The study shows, that a coupling of demand side management and storage technologies is the most promising combination to achieve a high degree of energy self-sufficiency (88%) for the regarded manufacturing system.
Icing detection and de-icing techniques play an important role to assure a safe operation of airplanes and wind turbines [1, 2]. Integration of piezoceramics in structural parts allow for additional functionalities li...
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Scientific research results show that graded ultrafine grained aluminum-based materials offer technical advantages by possible material property improvements (e.g. yield strength, corrosion resistance) especially when...
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Scientific research results show that graded ultrafine grained aluminum-based materials offer technical advantages by possible material property improvements (e.g. yield strength, corrosion resistance) especially when applied to heavily stressed components like screws. The commercial screw production is currently conducted without gradation of the semi-finished workpiece. Until now there is no evaluation on whether and under which conditions graded materials (screws) can technically and economically compete with conventional materials. In this paper, an innovative process chain for the production of graded ultrafine grained components is presented and analyzed based on a methodology for an integrated technical-economic evaluation. The evaluation especially of the yield strength of graded materials, energy consumption of the forming steps, energy costs, and revenue effects of improved material properties will outline the technical and economic potential of the technology. Despite higher energy consumptions positive profit effects can be expected due to improved material properties.
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