In industrial machining operations, many turning processes are carried out under wet conditions. In contrast, most simulation tools are only suitable for dry cutting processes due to challenges of modeling fluid-struc...
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Modern production systems rely heavily on data from the machines, processes and other sources. The amount and resolution of the data increases continuously allowing complex models like machine Learning models to be tr...
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Modern production systems rely heavily on data from the machines, processes and other sources. The amount and resolution of the data increases continuously allowing complex models like machine Learning models to be trained and applied in production. All analytics and models that rely on the production data implicitly require a suitable data quality. Central level of data generation and acquisition is the machine level where data from machine and sensors are generated and need to be aggregated. In this paper, we define the Time Synchronization Problem that arise from the different data sources and technical properties of computerized systems in manufacturing directly impacting the quality of Time-Series data. Further, we cluster current approaches and discuss their applicability in data-intense manufacturing.
The electronic health record (EHR) targets the systematized collection of patient-specific electronically-stored health data. Currently the EHR is an evolving concept driven by ongoing technical developments and open ...
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Due to the international competition, continuous increases in productivity, product quality and reduction of production costs are required. Especially, the development of milling tools made of innovative cutting mater...
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The micro-milling process is widely used in industry for the manufacturing of complex geometries for a wide range of materials. To increase the tool life and cutting length the cutting edge preparation could be succes...
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Smart Product Service Systems (Smart PSS) have the potential to contribute to a Circular Economy (CE), but in the design of these systems engineering teams often lack information and knowledge on CE strategies and pro...
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Servo screw presses with freely programmable force and motion functions lead to innovative forming technologies for deep drawing of sheet metals. The advanced application potential of the machine type is mainly based ...
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Servo screw presses with freely programmable force and motion functions lead to innovative forming technologies for deep drawing of sheet metals. The advanced application potential of the machine type is mainly based on the accuracy and flexibility. Due to the increase of process parameters in deep-drawing processes with variable force and motion functions, the standards for method planning (consideration of machine properties, parameterization of the movement functions) in comparison to conventional deep-drawing processes increase. The high number of parameters motivates the aim: A systematic design of deep-drawing processes with free force and motion functions on servo presses based on computational science methods. In the context of this publication, the determination of optimal parameters (force and motion functions) for a deep-drawing process with superimposed vibrations on servo screw presses will be investigated. With the help of evolutionary optimization approaches a process-design for a deep-drawing process with superposition of low-frequency oscillations will be carry out. The results of the evolutionary optimization approaches are validated by experiments with cross die part.
Tool wear during fine blanking impairs the quality of the sheared part, which is assessed in regular samples in an industrial environment. This leads to scrap production and low planning reliability due to low wear pr...
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Tool wear during fine blanking impairs the quality of the sheared part, which is assessed in regular samples in an industrial environment. This leads to scrap production and low planning reliability due to low wear predictability. A tool condition monitoring based on acoustic emission (AE) data for the prediction of the remaining useful life of the tool would mitigate those effects. In a production series, AE signals were recorded, and the tool wear observed. The AE signals were then preprocessed using feature engineering and visualized using linear and nonlinear dimensionality reduction techniques. These visualizations preserve information about the data structure even in two dimensions and resemble the temporal dependent observed tool wear during fine blanking.
CAM software is widely used through the last 40 years for a broad field of applications. The networkability of machinetools and the digitally integrated production as an existing trend for the next years and exponent...
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