SCoPE - Smart Components within Smart Production Processes and EnvironmentsProposal within the frame of the BRAGECRIM initiativeApproval period 8/2016-7/2018
SCoPE - Smart Components within Smart Production Processes and EnvironmentsProposal within the frame of the BRAGECRIM initiativeApproval period 8/2016-7/2018
批准号:
262397873
负责人:
Professor Dr.-Ing. Reiner Anderl
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2014
资助国家:
德国
项目状态:
已结题
起止时间:
2013-12-31 至 2020-12-31
中文摘要
SCoPE项目的主要目标是将单个物理组件转变为信息载体,促进它们成为网络物理生产环境中的活跃代理。承载信息的组件包含有关其物理特性、用途和制造历史的数据,并能够在智能生产过程中处理这些数据。这些智能组件可以控制应用于它们的制造过程,并可以在智能生产环境中导航。智能组件聚合为智能组件和智能产品。对于智能组件在智能生产流程和环境中的应用,有两个有前途的用例:智能生产场景中单个组件的可追溯性和收集组件数据的处理,以实现复杂组件中智能组件的最佳配对。在信息物理生产系统中引入智能组件作为信息载体可能会导致工程领域的范式转变。现代互联网技术在智能组件之间的数据交换和通信的应用改变了产品的制造方式以及人类与这些智能产品的交互。智能组件网络的部署有望全面提高生产力,提高资源和生产资料的利用率,并改善灵活生产中的互操作性。SCoPE项目第一阶段的目标是开发集成组件数据模型,以指定智能组件在智能生产环境中应用所需的数据结构,并定义智能组件的智能生产流程。第一阶段侧重于单个部件及其制造过程的方法和程序。第二阶段的目标是从智能部件向智能装配的延伸,以及从智能制造向智能装配过程的过渡。为了获得全面的科学理解,必须考察两种不同的观点。德国达姆施塔特科技大学(Universität)计算机集成设计系(DiK)将提供以数据为中心的视角,具备在集成组件数据模型中捕获和构建可用组件数据多样性的能力。以过程为中心的观点将由巴西皮拉西卡巴卫理公会大学计算机集成设计与制造实验室(SCPM)的专业知识提供,用于研究智能组件与智能生产环境和人类的相互作用,并开发智能生产过程。因此,SCoPE项目代表了BRAGECRIM倡议中结合SCPM和DiK的能力的绝佳机会,并继续成功的长期合作,在巴西和德国宣传工业4.0的愿景。
英文摘要
Main objective of the SCoPE project is to turn individual physical components into information carriers, to promote them as active agents in cyber-physical production environments. Information carrying components contain data about their physical properties, purpose and manufacturing history and are able to process this data in smart production processes. These smart components can control the manufacturing procedures applied to them and can navigate through a smart production environment. Smart components are aggregated to smart assemblies and smart products. For the application of smart components in smart production processes and environments two promising use cases are targeted: the traceability of individual components in smart production scenarios and the processing of collected component data for optimal pairings of smart components in complex assemblies. The introduction of smart components as information carriers in cyber-physical production systems may lead to a paradigm shift in engineering. The application of modern internet technologies for data exchange and communication between smart components changes the way how products are manufactured and the interaction of humans with these smart products. Overall increases in productivity, improved utilization of resources and means of production, and improvement of interoperability in a flexible production are expected from the deployment of a network of smart components.Objectives of the 1st phase of the SCoPE project were the development of an integrated component data model to specify the required data structures for the application of smart components in smart production environments and the definition of smart production processes for smart components. The 1st phase focusses on methods and procedures for individual components as single parts and their manufacturing processes. In the 2nd phase the extension from smart components to smart assemblies and the transition from smart manufacturing to smart assembly processes are targeted. To gather a comprehensive scientific understanding, two different perspectives have to be examined. The Department of Computer Integrated Design (DiK) of Technische Universität Darmstadt, Germany will contribute the data-centric perspective with competences for capturing and structuring the multiplicity of available component data in the integrated component data model. The process-centric perspective will be provided by the expertise of the Laboratory for Computer Integrated Design and Manufacturing (SCPM) of Methodist University of Piracicaba, Brazil for examining interactions of smart components with smart production environments and humans, and for developing smart production processes. Hence, the SCoPE project represents an excellent opportunity within the BRAGECRIM initiative to combine the competencies of SCPM and DiK, and to continue the successful, long-term collaboration to propagate the vision of Industrie 4.0 in Brazil and Germany.
期刊论文(7)
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DOI:
10.1007/978-3-319-72905-3_58
发表时间:
2017-07
期刊:
影响因子:
--
作者:
[Luiz Fernando C. S. Durão;S. Haag;R. Anderl;K. Schützer;E. Zancul]
通讯作者:
Luiz Fernando C. S. Durão;S. Haag;R. Anderl;K. Schützer;E. Zancul
Professional skills in the Product Development Process: the contribution of learning environments to professional skills in the Industry 4.0 scenario
产品开发过程中的专业技能:工业4.0场景中学习环境对专业技能的贡献
DOI:
10.1016/j.procir.2019.03.214
发表时间:
2019
期刊:
Procedia CIRP
影响因子:
--
作者:
[Sallati, Bertazzi, Schützer]
通讯作者:
Schützer
DOI:
10.1007/978-3-030-01614-2_19
发表时间:
2018-07
期刊:
影响因子:
--
作者:
[Luiz Fernando C. S. Durão;S. Haag;R. Anderl;K. Schützer;E. Zancul]
通讯作者:
Luiz Fernando C. S. Durão;S. Haag;R. Anderl;K. Schützer;E. Zancul
DOI:
10.1016/j.procir.2019.03.212
发表时间:
2019
期刊:
Procedia CIRP
影响因子:
--
作者:
[K. Schützer;Júlia de Andrade Bertazzi;Carolina Sallati;R. Anderl;E. Zancul]
通讯作者:
K. Schützer;Júlia de Andrade Bertazzi;Carolina Sallati;R. Anderl;E. Zancul
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Knowledge-based and agent-supported modeling in parametric 3D-CAD systems
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财政年份:2002
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依托单位:
Integration von Produktentwicklungsmethoden über Gestaltungs-Berechnungs-Beziehungen
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批准号:5131668
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负责人:Professor Dr.-Ing. Reiner Anderl
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