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Data Mining and Machine Learning Methods Applied to A Numerical Clinching Model
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作者 Marco Gotz Ferenc Leichsenring +5 位作者 Thomas Kropp Peter Müller Tobias Falk Wolfgang Graf Michael Kaliske welf-guntram drossel 《Computer Modeling in Engineering & Sciences》 SCIE EI 2018年第12期387-423,共37页
Numerical mechanical models used for design of structures and processes are very complex and high-dimensionally parametrised.The understanding of the model characteristics is of interest for engineering tasks and subs... Numerical mechanical models used for design of structures and processes are very complex and high-dimensionally parametrised.The understanding of the model characteristics is of interest for engineering tasks and subsequently for an efficient design.Multiple analysis methods are known and available to gain insight into existing models.In this contribution,selected methods from various fields are applied to a real world mechanical engineering example of a currently developed clinching process.The selection of introduced methods comprises techniques of machine learning and data mining,in which the utilization is aiming at a decreased numerical effort.The methods of choice are basically discussed and references are given as well as challenges in the context of meta-modelling and sensitivities are shown.An incremental knowledge gain is provided by a step-bystep application of the numerical methods,whereas resulting consequences for further applications are highlighted.Furthermore,a visualisation method aiming at an easy design guideline is proposed.These visual decision maps incorporate the uncertainty coming from the reduction of dimensionality and can be applied in early stage of design. 展开更多
关键词 DESIGN data mining computational intelligence META-MODELLING permissible design space sensitivity analysis self-organizing maps inverse problem early stage of design CLINCHING
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Monitoring concept for structural integration of PZT-fiber arrays in metal sheets:a numerical and experimental study
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作者 welf-guntram drossel Andreas Schubert +6 位作者 Matthias Putz Hans-Joachim Koriath Volker Wittstock Sebastian Hensel Alexander Pierer Benedikt Müller Marek Schmidt 《International Journal of Smart and Nano Materials》 SCIE EI 2018年第1期56-67,I0003,共13页
The technique joining by forming allows the structural integration of piezoceramic fibers into locally microstructured metal sheets without any elastic interlayers.A high-volume production of the joining partners caus... The technique joining by forming allows the structural integration of piezoceramic fibers into locally microstructured metal sheets without any elastic interlayers.A high-volume production of the joining partners causes in statistical deviations from the nominal dimensions.A numerical simulation on geometric process sensitivity shows that the deviations have a high significant influence on the resulting fiber stresses after the joining by forming operation and demonstrate the necessity of a monitoring concept.On this basis,the electromechanical behavior of piezoceramic array transducers is investigated experimentally before,during and after the joining process.The piezoceramic array transducer consists of an arrangement of five electrical interconnected piezoceramic fibers.The findings show that the impedance spectrum depends on the fiber stresses and can be used for in-process monitoring during the joining process.Based on the impedance values the preload state of the interconnected piezoceramic fibers can be specifically controlled and a fiber overload. 展开更多
关键词 Impedance spectroscopy joining by forming process monitoring function integration sensitivity
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