检索结果-内蒙古大学图书馆

IEEE/SICE International Symposium on System Integration

作者： Darius Deubert Denis Pfeifer Christian Scheifele Jörg Fehr Alexander Verl Bosch Rexroth AG 97816 Lohr am Main Germany and Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany Denis Pfeifer is with ISG Industrielle Steuerungstechnik GmbH 70563 Stuttgart and Institute of Engineering and Computational Mechanics University of Stuttgart Stuttgart Germany ISG Industrielle Steuerungstechnik GmbH Stuttgart Institute of Engineering and Computational Mechanics University of Stuttgart Stuttgart Germany Alexander Verl is with Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

Considering energy consumption and dynamical behavior within the simulation of manufacturing systems emerges as an important objective for their development, commissioning, and operation. Currently, these aspects are often neglected in many fields including virtual commissioning. This work presents an approach to extend highly detailed virtual commissioning models of components from industrial automation by dynamics models for the calculation of energy consumption in an offline simulation and for reuse in an online simulation. To validate the presented approach, an exemplary offline virtual commissioning simulation of a pick-and-place robot application is implemented and subsequently transferred to an online simulation. The validation shows a good accuracy of the simulated energy consumption, enabling virtual commissioning engineers to analyze and optimize energy consumption already in the design phase of manufacturing systems. Additionally, the dynamical behavior was well reflected in the online simulation, contributing to the capability of simulation in the operation phase.

关键词： Energy consumption Automation Accuracy Service robots System integration manufacturing systems

来源：评论

学校读者我要写书评

暂无评论

Adaptive CAM planning to support co-design in the building industry

引用

Procedia CIRP 2022年 109卷 78-83页

作者： Alexander Reichle Carsten Ellwein Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Seidenstr. 36 D-70174 Stuttgart Germany

Co-design describes a collaborative design process between different stakeholders. These stakeholders usually come from various domains. To enable co-design, data has to be exchanged between the stakeholders. Current approaches to data management in the building industry are usually oriented along the process chain and therefore only allow a unidirectional flow of information. This is an obstacle in the implementation of co-design within the building industry. As more and more buildings are built by utilizing prefabricated modules to accelerate the on-site building process and to reduce the cost, a major effort in terms of implementing co-design is to link the design information of the building industry with the production information of the manufacturing industry. The problem occurs as the building industry mainly uses the fndustry Foundation Classes and the manufacturing industry uses the Standard for the Exchange of Product Model Data as a data format to exchange information. This leads to a break in the flow of information. Furthermore, information about the manufacturability of products, that is generated during the computer-aided manufacturing process, cannot be easily returned to the architect who can utilize the information to adapt the design in the computer-aided design process. This paper addresses these problems by defining a data processing pipeline that enables the conversion of the geometric design information stored in IFC into the STEP data format. From there, the CAM strategy can be defined and results in an executable G-Code. The information of the CAM planning is returned to the architect, who can adapt the design by interpreting the results of the CAM processing. To close the co-design loop, the G-Code for the design adaptions can be generated automatically by reusing the predefined CAM strategy.

关键词： Co-Design IFC STEP CAD CAM Data Processing

来源：评论

学校读者我要写书评

暂无评论

Determination of circular economy targets based on absolute sustainability: A case study on plastics

引用

Procedia CIRP 2024年 122卷 743-747页

作者： Sebastian Weise Ali Abdur-Rahman Felipe Cerdas Christoph Herrmann Institute of Machine Tools and Production Technology (IWF) Chair of Sustainable Manufacturing and Life Cycle Engineering Technische Universität Braunschweig Braunschweig 38106 Germany

Plastic production significantly contributes to greenhouse gas emissions, making up around 4.5% of total emissions. As plastic consumption is expected to rise, it’s crucial to address the environmental impact of this industry urgently. Circular economy strategies, like recycling, are proposed solutions to reduce plastic’s carbon footprint. However, these strategies lack specific carbon footprint targets for plastics used in various applications. This study focuses on plastics in the automotive industry, establishing specific carbon footprint goals for plastics used in passenger cars. It also examines mechanical recycling’s role and the share of secondary plastics in meeting these absolute targets. The analysis of mechanical recycling technology reveals that even with 100% recycled plastics, the carbon footprint targets aren’t achieved due to high process energy consumption. Investigating grid emission factors, results show that meeting targets requires emission factors lower than 0.13 kgCO2-eq./kWh. Despite successful scenarios, it’s presently infeasible to use 100% recycled plastics in passenger car production. This necessitates the need to further improve plastic recycling technologies and increase the share of secondary plastics used in passenger car production.

关键词： absolute sustainability circular economy plastics recycling lca environmental impact

来源：评论

学校读者我要写书评

暂无评论

Toward Automating the Composition of Digital Twins Within System-of-Systems

Toward Automating the Composition of Digital Twins Within Sy...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Milapji Singh Gill Jingxi Zhang Andreas Wortmann Alexander Fay Institute of Automation Technology Helmut Schmidt University Hamburg Germany Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Germany Chair of Automation Ruhr University Bochum Germany

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Cyber-Physical Production Systems necessitate efficient configuration and continuous reconfiguration to adapt to evolving requirements and shifting goals. This process involves integrating various system structures to derive new functions and behaviors. The concept of the Digital Twin, which allows for effective integration and testing, is instrumental in facilitating this task. However, a fundamental prerequisite is that Digital Twins of individual system components must be composed efficiently and in accordance with dynamic System-of-Systems. We address this challenge by introducing an approach for the automated horizontal and vertical composition of Digital Twins, aimed at minimizing manual intervention and enhancing adaptability. Therefore, a pipeline specifically designed for this goal is proposed, which includes the generation of new functions and behaviors. This approach is intended to provide a foundation for future research.

关键词： Production systems Instruments Pipelines Digital twins manufacturing automation Testing

来源：评论

学校读者我要写书评

暂无评论

Introduction of an industrial transfer learning use case systematization for machine tools

引用

Procedia CIRP 2023年 120卷 398-403页

作者： Dr.-Ing. Markus Netzer Jonas Michelberger Alexander Puchta Prof. Dr.-Ing. Alexander Verl Prof. Dr.-Ing. Jürgen Fleischer wbk Institute of Production Science Karlsruhe Institute of Technology Kaiserstraße 12 76131 Karlsruhe Germany ISW Institute for Control Engineering of Machine Tools and Manufacturing Units Keplerstraße 7 70174 Stuttgart Germany

Traditional intelligent systems such as fault detection are mainly developed for isolated use on single machines and are mostly trained individually. A cross-machine knowledge transfer of intelligent systems holds an immense potential and can reduce implementation effort of intelligent systems. To enable a structured analysis of real-world transfer problems, an industry-relevant, far-reaching systematization of typical machine tool use cases is developed. This provides the overview over different typical use case classes from the industrial use case perspective. Based on the derived transfer criteria of each use case class, a conceptual approach of concrete transfer methods is proposed.

关键词： Transfer learning industrial transfer learning knowledge transfer transfer learning systemization machine tools

来源：评论

学校读者我要写书评

暂无评论

Direct Trajectory Generation on Parametric Compound Surfaces in a Numerical control to Improve Surface Homogeneity for Material Extrusion

SSRN

引用

SSRN 2023年

作者： Elser, Anja Lechler, Armin Verl, Alexander Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Seidenstr. 36 Stuttgart Baden-Württemberg70174 Germany

HighlightsSurface quality in the sense of homogeneity and exactness of Material Extrusion processes depends on material extrusion control as well as trajectory generation. In this paper, the authors improve the trajectory generation process, that can then be combined with existing material extrusion control to maximize surface quality while at the same time ensuring high process velocity. In the currently established Slicer-CNC interface, the tool path description is transferred by the use of discrete points. There are four main deficits that result from this discretization: (i) The path error is unknown in the CNC. (ii) The computed tool path tends to oscillate. (iii) Parallel paths are processed differently in the CNC. (iv) Transitions between two surface patches of a compound surface are blurred. To overcome these drawbacks, in this paper, the surface description of curved compound surfaces is transferred to the CNC. A CNC architecture dealing with this description is presented, including the information flow, the definition of manufacturing paths, and different smoothing methods. Smoothing methods on a single surface as well as across surface boundaries are defined. In particular, a corner smoothing method is developed, that results in $G^2$-continuous transitions for arbitrary boundary conditions, such as non-zero curvatures. The smoothing methods are validated experimentally and discussed. The produced parts show remarkable increase in surface quality. © 2023, The Authors. All rights reserved.

关键词： Surface properties

来源：评论

学校读者我要写书评

暂无评论

Semantic Integration and Interdisciplinary Collaboration in Production Planning: A Graph-Based Approach for Enhanced Data Consistency

引用

Procedia CIRP 2024年 130卷 1364-1371页

作者： Valesko Dausch Joachim Lentes Oliver Riedel Matthias Kreimeyer Institute for Engineering Design and Industrial Design of University of Stuttgart Pfaffenwaldring 9 DE-70569 Stuttgart Germany Fraunhofer Institute for Industrial Engineering Nobelstrasse 12 DE-70569 Stuttgart Germany Institute for Control Engineering of Machine Tools and Manufacturing Units of University of Stuttgart Seidenstrasse 36 DE-70174 Stuttgart Germany

Based on increasing individualization, shorter innovation cycles and integrating services into products complexity in the development of products and production processes increases. In combination with digitalization, this results in an increased need for interdisciplinary work. A high level of data consistency is required to cope with the resulting diverse and complex data structures, leading to the need for a consistent data model that orchestrates information flows. PLM-systems fall short in their ambition of reaching an overarching data management across the product lifecycle. This results in a lot of administrative work in planning instead of value-adding as well as in inconsistencies and incomplete change processes. To improve interdisciplinary collaboration in production planning, goal of this work is to develop a method leading to a comprehensive data model and to show it’s applicability by means of a case study. The steps of the research performed follow the typical circle of action research: diagnosis, planning, action, evaluation, and reflection. The data model resulting of the application of the method uses semantics to make relationships understandable for both humans and machines. This is necessary for downstream automation and the use of artificial intelligence. The three essential steps of the method are, firstly, an as-is modeling of the processes of interest. Then, the process models are used to evaluate the consistency and efficiency of the planning processes. The method is completed by a guideline for setting up the data model. The proposed approach aims to improve efficiency and quality in assembly planning processes, resulting in its importance for industrial companies.

关键词： Data driven development knowledge management data continuity method

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Based Instance Segmentation for Feature Extraction of Branched Deformable Linear Objects for Robotic Manipulation

Deep Learning-Based Instance Segmentation for Feature Extrac...

引用

IEEE International Conference on Automation Science and engineering (CASE)

作者： Manuel Zürn Annika Kienzlen Lars Klingel Armin Lechler Alexander Verl Shiyi Ren Weiliang Xu Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany Department of Mechanical and Mechatronics Engineering The University of Auckland Auckland New Zealand

Branched deformable linear objects, like wire harnesses, are vastly used in the electrical industry to interconnect multiple electronic components while allowing small relative motions. Their deformable nature gives them an infinite-dimensional configuration space, which is challenging for robotic manipulation and requires sensor feedback about the actual configuration. Cameras have been used before in automation attempts as sensor feedback of branched deformable linear objects. However, image processing is sensible to occlusions and unstructured environments. This paper presents a method of using deep learning-based instance segmentation networks to extract topological features like connectors, clips, branch points and overlapping points on the branched deformable linear object. The topological features originate from features that can be used for matching a stretched representation of the branched deformable linear object to its sensor representation. Our results show that the network is capable of extracting the features for different datasets with high accuracy. Furthermore, this paper evaluates the use of preliminary results in the training process to facilitate annotation by predicting the labels. For now, this paper only uses 2D images of the branched deformable linear objects. Future work will also use depth images, such that individual deformable linear object features, such as length or radius, can be extracted from the images. We anticipate the usage of wire harness automation with robotic manipulation, augmented reality support of the worker or quality control of wire harnesses.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Software Architecture For Deformable Linear Object Manipulation: A Shape Manipulation Case Study

Software Architecture For Deformable Linear Object Manipulat...

引用

Workshop on Robotics Software engineering (RoSE)

作者： Manuel Zü rn Markus Wnuk Armin Lechler Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units Stuttgart Baden-Württemberg Germany

Deformable linear object manipulation is challenging due to their high dimensional configuration space and their underactuated nature when manipulated by a robotic gripper. Due to the complexity of the task, robotic manipulation relies on sensors and computationally demanding models, which end up in multiple different software components interacting with each other. Research in deformable object manipulation usually focuses on modeling, planning or control, without focusing on a software architecture. This paper presents a novel software architecture for deformable linear object manipulation. The software architecture includes components for deformable linear object manipulation, namely perception-, observation-, robot control-, planning-, communication- and decision component. On top of these components, a layered software architecture consisting of a decision layer, a skill layer and a functional layer is presented The proposed concept aims to be a blueprint for a unified software architecture satisfying the requirements of robotic systems to achieve deformable linear object manipulation. The validation of the software architecture is done in a case study of an autonomous shape manipulation task, where one robot and a stereo camera shape a deformable linear object to a predefined desired shape. This use case is inspired by an automated cable routing process, which today in the industry is still mainly handled manually and therefore offers a vast potential for automation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach for Unsupervised Sensor Error Classification 57

A Novel Approach for Unsupervised Sensor Error Classificatio...

引用

18th IFAC Workshop on Time Delay Systems, TDS 2024

作者： Durnagöz, Samiha Eberhardt, Tobias Fuchs, Felix Reimann, Peter Ackermann, Thomas Fiedler, Maik Mayer, Mathias Huber, Marco F. Verl, Alexander Graduate School of Excellence Advanced Manufacturing Engineering GSaME University of Stuttgart Nobelstraße 12 Stuttgart70569 Germany Institute for Control Engineering of Machine Tools and Manufacturing Units ISW University of Stuttgart Seidenstraße 36 Stuttgart70174 Germany Institute of Industrial Manufacturing and Management IFF University of Stuttgart Allmandring 35 Stuttgart70569 Germany Universitätsstraße 38 Stuttgart70569 Germany AUDI AG NSU-Straße 1 Neckarsulm74172 Germany J. Schmalz GmbH Johannes-Schmalz-Straße 1 Glatten72293 Germany

The precise detection and classification of sensor errors is crucial for the optimal operation of smart manufacturing systems. Sensor errors, which can manifest in various forms, such as drifts or constant values, significantly challenge data integrity. This work introduces a novel approach that combines unsupervised learning and system simulations to detect and classify relevant sensor errors. Our approach avoids extensive manual labeling and uses only error-free simulated time series data to create initial embeddings of sensor data. This establishes a baseline for normal sensor behavior. To facilitate a precise identification of error types through a classifier, simulated sensor errors are introduced to create context-aware embeddings. We further analyze and compare conventional to advanced embedding methods such as TS2Vec. We apply our approach to a synthetic dataset obtained from a vacuum handling system and accurately identify and classify relevant sensor error types. Our work contributes to advancing operational efficiency and reliability in automated manufacturing processes within the Industry 4.0 framework by improving the detection capabilities for sensor errors. © 2024 The Authors.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：