检索结果-内蒙古大学图书馆

2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Thielsch, Juliane Bittner, Florian Drossel, Welf-Guntram Fraunhofer Institute for Machine Tools and Forming Technology Iwu Dresden01187 Germany Chemnitz University of Technology Institute for Machine Tools and Production Processes Chemnitz09126 Germany

ISBN: (纸本)9798350338362

Statistical modelling was successfully applied to Laser Powder Bed Fusion (LPBF) of Nd-Fe-B permanent magnets to identify the potential impact of different process parameters and their interactions on resulting magnetic properties. Process models for the magnetic properties coercivity Hc, remanence Jr as well as for the shape of the demagnetization curve are obtained. The model quality for Hc is excellent (R2 = 0.99). The model for Jr only allows a rough statement on the impact of the LPBF process due to a weaker quality of the model (R2 = 0.77). It will not be possible to maximize Hc and Jr of LPBF manufactured Nd-Fe-B magnets at the same time due to their contrary dependencies on different LPBF parameters. We have predicted an optimized parameter set with a resulting high Hc of 816 kA/m and a maximized Jr of 0.65 T. From these properties and the calculated shape of the demagnetization curve we predict a (BH)max of 60.77 kJ/m3 for a magnet processed on a LPBF machine AconityMINI using MQP™-S powder. © 2023 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Process concatenation to reduce thermal changes in machine tools

引用

International Journal of Mechatronics and Manufacturing Systems 2022年第2-3期15卷 167-184页

作者： Wenkler, E. Selch, M. Hellmich, A. Ihlenfeldt, S. Institute for Machine Tools and Control Engineering Technische Universität Dresden Dresden01062 Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Dresden01069 Germany

Thermal effects in machine tools are responsible for a significant amount of produced scrap. Therefore, various approaches have been investigated and applied on machine tools to reduce thermal changes during manufacturing. Most of them target the machine tool and its operational state and can therefore just react to the thermal changes caused by the process. This paper shows how thermal changes can be reduced already in the manufacturing planning stage. With the use of a virtual numerical control (VNC) and loss models, power losses can be estimated, enabling the concatenation of processes to achieve minimal jumps in power loss from one process to another. Copyright © Inderscience Enterprises Ltd.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Computer-based design and development of a fully automated assembly of aircraft doors made of thermoplastic composite material 17

Computer-based design and development of a fully automated a...

引用

17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023

作者： Fritzsche, Rayk Jager, Erik Head of Group Adaptable Assembly Systems Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany Scientific Employeeat Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany

For production of aircraft doors using innovative lightweight materials, a fully automated assembly process was developed. Therefor a door structure of an overwing-exit-door is to be joined from thermoplastic composite material components. The innovative material enable the use of new joining concepts. The assembly process was virtually simulated in order to forecast production time, process sequence, provision of operating resources and investment costs. Relevant manufacturing equipment was designed and accessibilities of the clamping and joining tools as well as collision areas were determined and optimized. To quality management, process control concept was developed with which geometric deviations of the components can be automatically compensated. © 2024 Elsevier B.V.. All rights reserved.

关键词： Process control

来源：评论

学校读者我要写书评

暂无评论

Integrating Hybrid Physics-Data Approaches for Enhanced Cutting Force Modeling in Digital Twins of Helical End Mills 20

Integrating Hybrid Physics-Data Approaches for Enhanced Cutt...

引用

20th CIRP Conference on Modeling of Machining Operations in Mons, CIRP CMMO 2025

作者： Jing, Yuan Gong, Guanchen Hänel, Albrecht Ihlenfeldt, Steffen Fraunhofer Insitute for Machine Tools and Forming Technology IWU Chemnitz Germany Chair of Machine Tools Development and Adaptive Controls Institute Fo Mechatronic Engineering Technische Universität Dresden Dresden Germany

Industry 4.0 has significantly improved data efficiency by leveraging key technologies such as the Internet of Things and machine Learning. Among these key technologies, digital twins stand out by offering a promising approach to intelligently utilize this data. In the virtual representation of a physical asset, data reflects the conditions of the physical entity, while models simulate and predict its behavior. In this paper, a hybrid cutting force model is proposed for digital twins of helical end mills, focusing on cutting force analysis during the utilization phase of the machining process. This model combines a fairly mature physical process modelling approach with a data-driven method, specifically a neural network trained on real process data, to address the limitations inherent in their respective applications. The physics-based model provides meaningful constraints on the neural network's training, ensuring reliable cutting force prediction, particularly in scenarios with limited process data availability. The cutter's profile, generated by the geometric model, and the cutter-workpiece engagement maps, derived from the virtual machining model, together serve as inputs for the hybrid cutting force model. © 2025 The Author(s).

关键词： Machining centers

来源：评论

学校读者我要写书评

暂无评论

Combined Evaluation of Digitalization and Sustainability Maturity of Small and Medium Sized Enterprises 19th

Combined Evaluation of Digitalization and Sustainability Mat...

引用

19th Global Conference on Sustainable Manufacturing, GCSM 2023

作者： Münnich, Marc Schönfelder, Annabell Stange, Maximilian Süße, Marian Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany

ISBN: (纸本)9783031774287

Sustainability and digitalization are of high importance for companies to stay competitive and cope with market requirements from internal and external stakeholders. Especially the current changes in reporting standards and frameworks increase pressure to quickly adapt internal processes and acquire the relevant data. In this context, Industry 4.0 (I4.0) is discussed to enable companies to also foster sustainability. But many small and medium sized enterprises (SME) lack of experience and capacity and need support from experienced partners to develop suitable strategies and implement technologies. Appropriate support comprises general guidance through these domains and an evaluation of current and desired state of expertise to choose suitable actions. Maturity models (MM) are well-established to initiate and support the transformation of corporate structures. There are many models available that support digital and sustainable transformation, but almost no models are available that include both dimensions what results in decoupled developments in these domains. Hence, this contribution introduces a combined model for both domains and systematically describes the extension of an existing digitalization MM (DMM) that also considers rebound effects. The MM is tested within an industrial context use case. The results are evaluated and discussed for further development of the model and workflow. © The Author(s) 2025.

关键词： Sustainable development goals

来源：评论

学校读者我要写书评

暂无评论

Intelligent dressing for continuous generating grinding with convolutional neural networks and knowledge distillation 17

Intelligent dressing for continuous generating grinding with...

引用

17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023

作者： Boesler, Martin Schumann, Marco Klimant, Philipp Dix, Martin Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany Institute for Machine Tools and Production Processes Chemnitz University of Technology Reichenhainer Str. 70 Chemnitz09126 Germany

Continuous generating grinding is a highly productive and precise way to finish hardened gears. However, the dressing of the tool has a huge potential for optimization. Detecting the optimal point to stop the dressing process would save cost and reduce machine downtime. This paper provides a proof of concept of how machine learning models can achieve these goals based on acoustic emission data. Therefore, different ML-Classifiers were trained and compared. Particular emphasis was placed on the robustness of the models. In addition, the trade-off between fast and robust models was examined. © 2024 Elsevier B.V.. All rights reserved.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Intelligent parameter determination and quality control of an injection molding process 17

Intelligent parameter determination and quality control of a...

引用

17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023

作者： Nahvi, Sina Schumann, Marco Dix, Martin Klimant, Philipp Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany Institute for Machine Tools and Production Processes Chemnitz University of Technology Reichenhainer Str. 70 Chemnitz09126 Germany

One of the most extensively utilized techniques for material processing is injection molding, which is used to manufacture highly accurate and complex plastic items. In order to produce qualified items and ensure quality of the products, process parameter determination is crucial. We propose and compare two approaches for intelligently determining the parameters and controlling the quality within the injection molding process while aiming towards zero defects. These approaches are combinations of the process model trained using Automated machine Learning (AutoML) with optimization techniques based on Bayesian and genetic algorithms. © 2024 Elsevier B.V.. All rights reserved.

关键词： Injection molding

来源：评论

学校读者我要写书评

暂无评论

Methods for the environmental and economic assessment in early product design - A case study-based overview for wind turbines in urban areas 31

Methods for the environmental and economic assessment in ear...

引用

31st CIRP Conference on Life Cycle Engineering, LCE 2024

作者： Zumpe, Martin Stange, Maximilian Burak Ertem, Ahmet Süße, Marian Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany

The assessment of environmental impacts has become an inevitable necessity for many manufacturing companies - not only from a mere retrospective viewpoint but also for product design decisions. At the same time, economic feasibility must be constantly considered throughout all product design phases. For both dimensions, many different decision-support methods exist. However, there is a lack of combined assessment methods especially in early product design phases, when product characteristics, manufacturing technologies and corresponding data are still uncertain. The paper provides an overview and qualitative evaluation of different methods for economic and ecological assessment in product design stages. Based on this, a generalized procedure for combined economic and ecological decision-making during product design is derived, highlighting possible coping mechanisms for uncertain or insufficient data. Both, the evaluation of available assessment methods as well as the derived procedure are transferred to the specific requirements of wind turbines in urban areas. As a result, open research aspects and the next steps for method development are derived. © 2024 The Author(s).

关键词： Product design

来源：评论

学校读者我要写书评

暂无评论

Combining material flow simulation and optimization for sustainable manufacturing - Application in automotive paint shops 31

Combining material flow simulation and optimization for sust...

引用

31st CIRP Conference on Life Cycle Engineering, LCE 2024

作者： Süße, Marian Xie, Xinyi Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany

The necessity for sophisticated decision support in industrial manufacturing has been described manifoldly and simulation approaches as well as optimization methods are continuously developed. This can be especially promising when it comes to decision-making with multidimensional requirements of economic and ecological efficiency. However, due to the required expert knowledge, there is still a gap between theoretically applicable and industrially applied methods. The paper therefore presents results of two use cases as part of the European project ECOFACT where different approaches for the combination of simulation and (heuristic) optimization were applied with industry partners. An overview of recent works and systematic literature reviews of sustainable manufacturing and the approaches for combining simulation and optimization is given. Correspondingly, the investigated use cases of automobile paint shops refer to the reduction of environmental impacts by optimized heating processes and an improved batching process to minimize paint waste. In the first case, setup times for heating color pools and ovens were shifted to avoid load peaks in a calculation time of less than one minute. In the second use case batch size was increased by around 25%. © 2024 Elsevier B.V.. All rights reserved.

关键词： Paint

来源：评论

学校读者我要写书评

暂无评论

reProd® – Resource-Autarkic Production Based on Secondary Semi-finished Products 18th

reProd® – Resource-Autarkic Production Based on Secondary ...

引用

18th Global Conference on Sustainable Manufacturing, GCSM 2022

作者： Werner, Markus Haase, Rico Hermeling, Christian Fraunhofer Institute for Machine Tools and Forming Technology Reichenhainer Str. 88 Chemnitz09126 Germany

ISBN: (纸本)9783031288388

This paper presents a novel approach of a smart shortened material loop for producing second-life metallic components by saving a significant amount of energy and CO2 emissions. The focus is on metallic components and manufacturing chains based on adapted forming technologies. Sourcing and using secondary semi-finished products instead of virgin metallic materials facilitates the omission of process steps, such as iron smelting, steel making, continuous casting, hot and cold rolling, which involve the highest energy consumption and the highest CO2 emissions. Besides the positive impacts on sustainability, there are still scientific and technological challenges. One challenge lies in matching providers of secondary semi-finished material to market needs;the other comprises engineering the forming process chain while some material characteristics are not clearly specified or vary in a wide range. In contrast to the heavily restricted properties of virgin material, the characteristics of secondary semi-finished materials vary in a wider range and need to be elaborated. In the end, a new component will be produced, differing in design, function, and properties from conventional, single-life cycle products. Therefore, this paper introduces a novel, circular material loop for metals. The paper finishes with a short concept note on digital material and product passports to store and provide the required information on properties. © 2023, The Author(s).

关键词： Continuous casting

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：