Model-Based Systems engineering (MBSE) has been known in aerospace and automotive industries for more than a decade and is based on a model-driven approach to integrate all engineering disciplines. This paper shows a ...
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Model-Based Systems engineering (MBSE) has been known in aerospace and automotive industries for more than a decade and is based on a model-driven approach to integrate all engineering disciplines. This paper shows a promising approach to meet the ongoing challenges in the development of production systems. First, the current sequential, mechatronic engineering process of production systems is summarized and deficits are pointed out. Then, the paper outlines a roadmap with necessary steps to adapt the MBSE approach to the engineering of production systems, called Model-Based Production engineering (MBPE). This roadmap includes the definition of a design language for production systems.
The systematic analysis of robotic arc welding processes requires unified structured data, which is currently not available due to the diversity of data sources. This paper proposes an integrated data structure for th...
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The systematic analysis of robotic arc welding processes requires unified structured data, which is currently not available due to the diversity of data sources. This paper proposes an integrated data structure for the specific domain of robotic gas metal arc welding. The presented data structure contains a description of the welding system, the design of the welded parts, welding instructions, and time series of measured process data. Collected data enriched with semantic context is stored and analyzed using this data structure. The usefulness is exemplified but not limited by a use-case suggesting welding process parameters to the worker.
During manufacturing, geometrical deviations occur, e.g. due to heating processes. In multi-stage production systems, these errors propagate and lead to expensive rework or, even, to unusable products. In this paper, ...
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During manufacturing, geometrical deviations occur, e.g. due to heating processes. In multi-stage production systems, these errors propagate and lead to expensive rework or, even, to unusable products. In this paper, a method for smart centering of rotation-symmetric parts is introduced. The method is used in the scope of achieving zero-defect manufacturing processes. For this purpose, the products are measured and automatically compared with the required specifications. Based on the identified deviations, process parameters can be adjusted and thus, defects can be compensated in downstream production steps. The method is exemplified in the context of an industrial use case.
Robot programming is still an expert dependent and not automatically optimized task. In order to make this process more automatic and intuitive for the end-user, this paper presents a novel approach to determine a clo...
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Robot programming is still an expert dependent and not automatically optimized task. In order to make this process more automatic and intuitive for the end-user, this paper presents a novel approach to determine a close-optimal workpiece pose for different robotic manufacturing processes like welding and milling. The approach is based on a model-based interpretation of the Product, Process, and Resource (PPR) components defined in an internally developed Computer-Aided manufacturing (CAM) software. After the interpretation addressed to simplify the path planning, an algorithm uses sample-based motion planning techniques and optimization algorithms, in order to find optimal motions in reaction to infeasible states of the robot (i.e. maximum joint limits and reachability) and a close-optimal workpiece pose. The optimized path planning is achieved by exploring an interpreted Configuration Space (C-space) using a Degree of Freedom (DoF) of the Robot manufacturing Processes (RMP) and by interpreting its constraints. Simulation results are presented for robotic welding and milling task by optimizing welding orientations and robot stiffness respectively in the path planning and the joint movements and gravity cost criteria in the workpiece positioning. Optimization of these criteria could be used in RMP to address improvement of the process quality.
Future production systems demand for a standardized digital representation of I4.0 components including their capabilities. Many concepts of such a digital representation have been published under the term administrat...
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Future production systems demand for a standardized digital representation of I4.0 components including their capabilities. Many concepts of such a digital representation have been published under the term administration shell. However, these concepts do not explicitly cover the use of administration shells to orchestrate real-time capable I4.0 components. In this paper, we recap an existing I4.0 framework that enables the dynamic orchestration of non-real-time I4.0 components. As main contribution, we integrate real-time capable I4.0 components into this framework. Thereby, the entire communication is standard-compliant to the new real-time technology Time-Sensitive Networking (IEEE 802.1). The advantages of our approach are demonstrated by a dynamic plug-and-produce scenario in which real-time axes are controlled based on G-code.
Nowadays a growing number of additional features, provided by intelligent tools, are used in machinetools to improve the quality of machined products or to enhance functionality of machinetools. This brings some pro...
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Robots in daily human environments need to fulfill a lot of requirements and boundary conditions to be accepted and useful. To meet these, in this paper, a mechanism similar to a spherical joint is proposed and compar...
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Robots in daily human environments need to fulfill a lot of requirements and boundary conditions to be accepted and useful. To meet these, in this paper, a mechanism similar to a spherical joint is proposed and compared to others. It can be used to extend the workspace of manipulators and add a wide coverage for sensors mounted on the head of the system while being safe by design and enabling an agile and expressive display of gestures. Beside a generic description of the geometry and the main dimensions of the mechanism, also the kinematic calculation and properties of the workspace are shown and discussed.
In the context of the optimization of multi-stage production systems, a large number of process, workpiece and machine data are recorded using sensor systems. However, since not all influencing factors and possible de...
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In the context of the optimization of multi-stage production systems, a large number of process, workpiece and machine data are recorded using sensor systems. However, since not all influencing factors and possible defects, especially in highly complex process chains, can be detected by physical sensors, the machine operator’s experience and his ability to identify non-conformances play a decisive role for achieving zero-defect manufacturing of high-quality parts. In order to make use of these aspects for defect and process analyses as well as for downstream compensation, rework measures and data-driven optimization strategies, a user interface connected to a central database is required. The user interface aims to enable standardized recording of identified defects and performed rework. For this purpose, a game engine is used to allow a user-friendly operation using touch gestures and a three-dimensional visualization of the workpiece. The web-based tool is implemented on the front end of a database enabling a cross-platform access from various devices.
Based on the amount of production steps and the related complexity, multi-stage production systems are very error-prone. In order to compensate for this disadvantage and to achieve zero-defect manufacturing, a data-dr...
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Based on the amount of production steps and the related complexity, multi-stage production systems are very error-prone. In order to compensate for this disadvantage and to achieve zero-defect manufacturing, a data-driven approach is needed. The increasing availability of sensor and machine data provides a high informational content of the individual processes, which can be evaluated with appropriate methods. Literature shows various methods of data analysis for examining the correlations of data sets. These methods and strategies are analyzed, hierarchically structured and extended by four developed algorithms. Finally, the data-driven analysis tool is presented and validated using two industrial use cases.
Ahstract- Current developments in ankle prosthetics are focusing on integrated actuators to fully control torques and angles. This enables terrain adaptive strategies e.g. for stairs and ramps. EMG and motion sensor i...
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Ahstract- Current developments in ankle prosthetics are focusing on integrated actuators to fully control torques and angles. This enables terrain adaptive strategies e.g. for stairs and ramps. EMG and motion sensor input are state of the art approaches to classify different terrain or terrain changes, but these approaches have limited capabilities and detection accuracy. We present a novel approach for the detection of obstacles using a wearable Frequency-Modulated Continuous Wave (FMCW) radar integrated into a lower limb prosthetic device. With the continuous rotational motion of the tibia during the swing and stance phase, the radar scans the profile of the terrain in sagittal plane in front of the prosthesis. Gait phases are detected using a neural network classifiers based on inertial sensor data. Performance of the system is demonstrated in a single stair detection scenario.
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