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12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME)

作者： Huber, Steffen Wiemer, Hajo Schneider, Dorothea Ihlenfeldt, Steffen Tech Univ Dresden Inst Machine Tools & Control Engn D-01062 Dresden Germany

The value of data analytics is fundamental in cyber-physical production systems for tasks like optimization and predictive maintenance. The de facto standard for conducting data analytics in industrial applications is the CRISP-DM methodology. However, CRISP-DM does not specify a data acquisition phase within production scenarios. With this work, we present DMME as an extension to the CRISP-DM methodology specifically tailored for engineering applications. It provides a communication and planning foundation for data analytics within the production domain. We show the feasibility of our methodology for engineering applications within a case study in the field of work piece detection. (C) 2019 The Authors. Published by Elsevier B.V.

关键词： data mining Machine learning Manufacturing data management data driven process optimisation

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DMME: data mining methodology for engineering applications – a holistic extension to the CRISP-DM model

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Procedia CIRP 2019年 79卷 403-408页

作者： Steffen Huber Hajo Wiemer Dorothea Schneider Steffen Ihlenfeldt Technische Universität Dresden Institute for Machine Tools and Control Engineering 01062 Dresden Germany

关键词： data mining Machine learning Manufacturing data management data driven process optimisation

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A holistic and DoE-based approach to developing and putting into operation complex manufacturing process chains of composite components 1st

A holistic and DoE-based approach to developing and putting ...

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1st CIRP Conference on Composite Materials Parts Manufacturing (CIRP CCMPM)

作者： Wiemer, Hajo Schwarzenberger, Michael Dietz, Gunnar Juhrisch, Martin Ihlenfeldt, Steffen Tech Univ Dresden Inst Werkzeugmaschine & Steuerungstech D-01062 Dresden Germany Symate GmbH WittenbergerStr 97 D-01277 Dresden Germany

This paper presents model-based methods and algorithms for describing and analyzing complex technological interactions in production process chains for the manufacturing of composite materials and components. The presented holistic approach includes the modeling of the process chain, the construction of suitable designs of experiments, the logging and the collection of experimental and production data, the data analysis, as well as the visualization of analysis results and the deduction of the room of maneuver for production settings. Supported by these methods, the development and the putting into operation of complex process chains will become much more efficient. (C) 2017 Published by Elsevier B.V.

关键词： design of experiments manufacturing data management process chain modelling data driven process optimisation

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A Holistic and DoE-based Approach to Developing and Putting into Operation Complex Manufacturing process Chains of Composite Components

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Procedia CIRP 2017年 66卷 147-152页

作者： Hajo Wiemer Michael Schwarzenberger Gunnar Dietz Martin Juhrisch Steffen Ihlenfeldt Technische Universität Dresden Institut für Werkzeugmaschinen und Steuerungstechnik 01062 Dresden Germany Symate GmbH WittenbergerStr. 97 01277 Dresden Germany

关键词： design of experiments manufacturing data management process chain modelling data driven process optimisation

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Methods for Modelling and Analysing process Chains for Supporting the Development of New Technologies

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Procedia Materials Science 2013年 2卷 34-42页

作者： Knut Großmann Hajo Wiemer Kay K. Großmann Technische Universität Dresden Institut für Werkzeugmaschinen und Steuerungstechnik 01062 Dresden Germany

The paper wants to illustrate a new approach for modelling and analysing innovative technological process chains aiming at the determination of cause-effect relations between material properties and manufacturing conditions concerning the required component quality. The intention is to assist the domain specific experts at their research and development of novel technologies. A supporting software tool is under development. Using the example of the process chain of the manufacturing of a hybrid yarn textile thermoplastic composite component the application of the approach and the test of the software tool was performed for the modelling of the process chain and for the analysing of a selected process step. Therefrom requirements were derived for the further development of the methods and the software tool.

关键词： Manufacturing data management Domain specific process chain modelling data driven process optimisation

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