检索结果-内蒙古大学图书馆

Injecting epoxy resin to specially designed voids of additively manufactured parts to improve mechanical properties

Procedia Manufacturing 2020年 51卷 692-697页

作者： Konstantinos Bailas Paraskevas Papanikos School of Engineering Department of Product and Systems Design Engineering Konstantinoupoleos 1 Syros 84100 Greece

Additive manufacturing (ΑΜ) technology is the future for mass production of innovative and customable products and its use is expanding and growing rapidly to large and small industry over the last years. The wide variety of high technology polymers used by AM technology produces more reliable and quality parts with better durability and increasing capabilities covering a wide range of products in industry. The improvement of the mechanical properties of the materials of ΑΜ parts, considering the low cost to manufacture, makes the use of polymers highly desirable in industry. Nevertheless, the limited strength of the produced parts is one of the main factors in the difficulty of disseminating this technology to mass production. In this paper, we describe a new methodology of constructing and strengthening products using AM technology by injecting epoxy resin to the inner structure of the produced parts to increase the strength and to optimise the mechanical properties of the products in a manageable and predictable way. The main objective is to design an inner grid consisting of tubular voids using the concept of design intent through a parametric CAD system and to fill those voids using epoxy resin controlling the mechanical behaviour of the produced parts.

关键词： Additive Manufacturing design Intent Mechanical Properties Finite element analysis Polymers CAD

来源：评论

学校读者我要写书评

暂无评论

Comparison of time series clustering algorithms for machine state detection 53

Comparison of time series clustering algorithms for machine ...

引用

53rd CIRP Conference on Manufacturing systems, CMS 2020

作者： Hennig, Martin Grafinger, Manfred Gerhard, Detlef Dumss, Stefan Rosenberger, Patrick TU Wien Institute of Engineering Design and Product Development Research Area Mechanical Engineering Informatics and Virtual Product Development Getreidemarkt 9/307 Vienna1060 Austria Ruhr-Universität Bochum Institute of Product and Service Engineering Department for Digital Engineering Systems Universitätsstraße 150 Bochum44801 Germany

New developments in domains like mathematics and statistical learning and availability of easy-to-use, often freely accessible software tools offer great potential to transform the manufacturing domain and their grasp on the increased manufacturing data repositories sustainably. One of the most exciting developments is in the area of machine learning. Time series clustering could be utilized in machine state detection which can be used in predictive maintenance or online optimization. This paper presents a comparison of freely available time series clustering algorithms, by applying several combinations of different algorithms to a database of public benchmark technical data. © 2020 The Authors.

关键词： Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

Fueling the technology growth using innovative IoT solutions: The SmartBin project

Fueling the technology growth using innovative IoT solutions...

引用

2020 International Conference on Technology and Entrepreneurship, ICTE 2020

作者： Ziouzios, Dimitris Baras, Nikolaos Dasygenis, Minas Manavis, Athanasios Vanidis, Charilaos Tsanaktsidis, Constantinos Electrical and Computer Engineering University of Western Macedonia Kozani Greece Product and Systems Design Engineering University of Western Macedonia Kozani Greece Chemical Engineering University of Western Macedonia Kozani Greece

ISBN: (纸本)9781728149028

Cleanliness and recycling is a crucial matter for modern cities. As there is an obvious and increasing need to preserve valuable resources and reduce waste and pollution, research is vivid in this area. In this paper, we present our innovative project, the Smartbin, which is using state of the art approaches of Internet of Things (Iot) and waste classification. The design of the system permits the low-cost manufacturing of the final product, while uses state of the art technologies such as neural networks and the LoRaWAN protocol. We have implemented environmental friendly and low-cost Smart Bin prototypes, where the users can monitor each bin and be notified for incidents requiring their attention. The system also remotely transmits valuable data to the corresponding authorities, which can improve their effectiveness in waste management. © 2020 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

An end-to-end point of interest (POI) conflation framework

arXiv

引用

arXiv 2021年

作者： Low, Raymond Cheah, Lynette Tekler, Zeynep D. Engineering Systems and Design Pillar Singapore University of Technology and Design 8 Somapah Rd Singapore487372 Singapore Engineering Product Development Pillar Singapore University of Technology and Design 8 Somapah Rd Singapore487372 Singapore

Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urban planning. With the availability of different data sources, POI conflation serves as a valuable technique for enriching data quality and coverage by merging the POI data from multiple sources. This study proposes a novel end-to-end POI conflation framework consisting of six steps, starting with data procurement, schema standardisation, taxonomy mapping, POI matching, POI unification, and data verification. The feasibility of the proposed framework was demonstrated in a case study conducted in the eastern region of Singapore, where the POI data from five data sources was conflated to form a unified POI dataset. Based on the evaluation conducted, the resulting unified dataset was found to be more comprehensive and complete than any of the five POI data sources alone. Furthermore, the proposed approach for identifying POI matches between different data sources outperformed all baseline approaches with a matching accuracy of 97.6% with an average run time below 3 minutes when matching over 12,000 POIs to result in 8,699 unique POIs, thereby demonstrating the framework's scalability for large scale implementation in dense urban contexts. © 2021, CC BY.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling

Analyzing Scientific Publications using Domain-Specific Word...

引用

IEEE International Conference on Big Data

作者： Trisha Singhal Junhua Liu Lucienne T. M. Blessing Kwan Hui Lim SUTD-MIT International Design Centre Singapore University of Technology and Design Singapore Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore Engineering Product Development Pillar Singapore University of Technology and Design Singapore

ISBN: (纸本)9781665445993

The scientific world is changing a tarapid pace, with new technology being developed and new trends being set at an increasing frequency. This paper presents a framework for conducting scientific analyses of academic publications, which is crucial to monitor research trends and identify potential innovations. This framework adopts and combines various techniques of Natural Language Processing, such as word embedding and topic modelling. Word embedding is used to capture semantic meanings of domain-specific words. We propose two novel scientific publication embedding, i.e., P UB-G and P UB-W, which are capable of learning semantic meanings of general as well as domain-specific words in various research fields. Thereafter, topic modelling is used to identify clusters of research topics within these larger research fields. We curated apublication dataset consisting of two conferences and two journals from 1995 to 2020 from two research domains. Experimental results show that our PUB-G and PUB-W embeddings are superior in comparison to other baseline embeddings by a margin of ~0.18-1.03 based on topic coherence.

关键词： Technological innovation Analytical models Conferences Semantics Coherence Big Data Market research

来源：评论

学校读者我要写书评

暂无评论

Self-consumption rises due to energy crises? An evaluation of prosumers’ consumption behavior in 2022

Self-consumption rises due to energy crises? An evaluation o...

引用

International Conference on European Electricity Market, EEM

作者： Sabine Pelka Peter Conradie Laurens de Vries Vasilios Anatolitis Emma Martens Emile Chappin Merkouris Karaliopoulos Filippos Anagnostopoulos Sabine Preuß Energy and Industry Group Faculty of Technology Policy and Management Delft University of Technology Delft the Netherlands Fraunhofer Institute for Systems and Innovation Research Karlsruhe Germany Department of Industrial Systems Engineering and Product Design Faculty of Engineering and Architecture Ghent University Belgium Imec-Mict-UGent Ghent Belgium Department of Informatics Athens University of Economics and Business Athens Greece Institute for European Energy and Climate Policy (IEECP) Amsterdam Netherlands

Prosumers with photovoltaic systems can reduce their electricity expenses by increasing their consumption of self-generated electricity. This makes them more resilient to price shocks, like the 2022 European energy crisis. We evaluate how prosumers adapt their consumption behavior in response to such political uncertainty and increasing electricity prices. The collected survey and smart meter data allow us to evaluate the perceived self-reported and measured impact on *** intentions due to the energy crisis are more clearly displayed by the survey than by the measured self-consumption. While solar radiation predominantly explains self-consumption changes, Google searches on electricity-related topics have limited explanatory power. However, considering time lags and the interaction with solar radiation leads to more nuanced insights on the effect of Google searches. Depending on the level of solar radiation, the effect of Google searches ranges from decreasing the daily self-consumption by 26.45 Wh to increasing it by 69.45 Wh.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Substantial Capabilities of 3-Axis Robotic Arm in Industry Automation Applications

Substantial Capabilities of 3-Axis Robotic Arm in Industry A...

引用

International Conference on Innovative Sustainable Computational Technologies (CISCT)

作者： Gaurav Sharma A. Sri Ganesh Sandeep Kumar Manjeet Kharub A. Anitha Vivek Kanwar DICE Department Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Intern Product Engineer Cadence Design Systems Hyderabad India School of Engineering and Technology BML Munjal University Gurugram Haryana India Department of Operation Management Institute of Management Technology Ghaziabad India ECE Department CVR College of Engineering Hyderabad Telangana India Dept. of Electronics and Communication Engineering Chandigarh University Mohali Punjab

New technologies are being used in industry automation, like service, and communications. Industry 4.0 is the next fourth industrial revolution that promotes organisational effectiveness. Automation is an exponentially growing field with various challenges. Robotic arms also known as articulated robotic arms, are widely used in the process of automation in industry 4.0. The main function of automation using robotic arms is to perform a given task repeatedly, which is greatly reducing the manual efforts and increasing the efficiency of the task performed. This paper consists of the development of a three-axis robotic arm for industry 4.0, which performs the instantly learned task repeatedly. This is designed using a servo system for more accuracy and an analog system to control the servo system using an Arduino UNO microcontroller. The designed 3-axis robotic arm performs various operations and basic services which may be difficult for human being to do so and shows accurate and fast performance in industry operations to enhance more productivity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

design of 3D Printed Cellular Meta-materials for Improved Tool-Handle Ergonomics

Design of 3D Printed Cellular Meta-materials for Improved To...

引用

AHFE Virtual Conference on production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling systems and 3D Prototyping, 2020

作者： Cupar, Andrej Kaljun, Jasmin Dolšak, Bojan Harih, Gregor LIO - Laboratory for Product Design Faculty for Mechanical Engineering University of Maribor Maribor2000 Slovenia Laboratory for Intelligent CAD Systems Faculty for Mechanical Engineering University of Maribor Maribor2000 Slovenia

ISBN: (纸本)9783030519803

Researchers focussed on the sizes and shapes of the tool-handle, however they neglected the tool-handle materials, which could further improve the ergonomics. It has been shown that foam rubber grip can be used to provide more uniform distribution of forces and pressures on the hand resulting in higher comfort ratings. Well-chosen foam and limited foam thickness can maintain low deformation rate for maintaining desired rate of stability of the hand tool in the hands. Therefore, we designed and manufactured a 3D printed cellular metamaterial with deformable inner structure and pre-engineered mechanical response, where at initial low grasping forces, the material stays firm and starts to deform only when critical contact pressure is reached to provide greater contact area and provide more uniform pressure distribution. Test subjects rated the 3D printed handles as more comfortable compared to handles made from plastic. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Ergonomics

来源：评论

学校读者我要写书评

暂无评论

Additive Manufacturing of Ceramics opens the door to Components for Biomanufacturing Applications with high Functionality

引用

Procedia CIRP 2024年 125卷 284-289页

作者： Uwe Scheithauer Stefan Holtzhausen Hajo Wiemer Fraunhofer Institute for Ceramic Technologies and Systems Group Additive and Hybrid Manufacturing Winterbergstr. 28 01277 Dresden Germany TUD Dresden University of Technology Institute of Machine Elements and Machine Design Chair of Virtual Product Development Group Advanced Geometric Modeling And Analysis 01062 Dresden Germany TUD Dresden University of Technology Institute of Mechatronic Engineering Chair of Machine Tools Development and Adaptive Controls Department of Machine Data Processing 01062 Dresden Germany

Significant advancements in production technology, materials, component design, and data science foster innovation across industries, including biomanufacturing. Ceramic materials, adapted additive manufacturing processes, and novel construction methods hold immense innovation potential due to ceramics’ exceptional thermal, chemical, and mechanical properties. Additive manufacturing enables the creation of intricate ceramic components with unprecedented functionality. Hybridizing manufacturing technologies and materials facilitates direct integration of additional features like sensors and actuators. Despite their potential, ceramic materials remain underutilized. This article aims to spark a discourse on leveraging high-performance ceramic components in biomanufacturing, leveraging superior material properties, innovative design methods, additive manufacturing, process data analysis, and AI.

关键词： ceramics: additive manufacturing component design data science biomanufacturing

来源：评论

学校读者我要写书评

暂无评论

Systematics for an Integrative Modelling of product and production System

引用

Procedia CIRP 2023年 118卷 104-109页

作者： Louis Schäfer Matthias Günther Alex Martin Mariella Lüpfert Constantin Mandel Simon Rapp Gisela Lanza Harald Anacker Albert Albers Daniel Köchling wbk – Institute of Production Science Karlsruhe Institute of Technology (KIT) Kaiserstr. 12 76131 Karlsruhe Germany Fraunhofer Institute for Mechatronic Systems Design (IEM) Zukunftsmeile 1 33102 Paderborn Germany IPEK – Institute of Product Engineering Karlsruhe Institute of Technology (KIT) Kaiserstr. 10 76131 Karlsruhe Germany BENTELER Automobiltechnik GmbH An der Talle 27 – 31 33102 Paderborn Germany

Due to shorter product life-cycles, manufacturing companies nowadays must maximize efficiency in development and planning of products and production systems. To achieve this, new methods and tools are required to cope with increasing product variants and system complexity. Therefore, we propose a holistic systematics to develop a consistent, model-based architecture for products, production systems and their interdependencies. For this, we give a domain-specific ontology containing model elements, relationships and attributes. Ontology and systematics are applied to a use-case from the automotive industry. In summary, the approach deals with modern-day demands in engineering by considering interdependencies between product and production systems.

关键词： Model-Based systems engineering Advanced systems engineering product-production-Codesign

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：