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RISS 인기검색어
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- 저자 : Daniel Zontar (검색결과 3 건)
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Evaluation of Industry 4.0 Data formats for Digital Twin of Optical Components
Arno Schmetz,Tae Hun Lee,Maximilian Hoeren,Marvin Berger,Susanne Ehret,Daniel Zontar,Soo-Hong Min,Sung-Hoon Ahn,Christian Brecher 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.3
A wide range of software and hardware components are present in today’s production systems and plants using a variety of interfaces and data formats for information exchange on diff erent levels of the system. To increase the traceability, the lifecycle management and providing a single point of source of component-specifi c data, the Digital Twin technology is proposed, linking diff erent data sets tailored to the requirements of diff erent kind of users (e.g., machines, technicians, logistics, manufacturing execution systems). The data exchange between entities in the manufacturing network relies on machine-readable, fl exible and self-describing data formats. When implementing or integrating diff erent components into complex systems, the interoperability challenge is a major concern to address by the system designers and becomes a central task for the creation and integration of Digital Twin technology. In this paper, we evaluate diff erent formats that are used in real environments and create a requirements framework for an ideal format for exchanging fl exible and self-describing data in context of optical components manufacturing process and their special requirements.
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Min, Soo-Hong,Lee, Tae Hun,Lee, Sangwook,Song, Ji-Hyeon,Lee, Gil-Yong,Zontar, Daniel,Brecher, Christian,Ahn, Sung-Hoon Elsevier 2019 Composites Part B, Engineering Vol.174 No.-
<P><B>Abstract</B></P> <P>The nanocomposite based on conductive nanoparticles and nanotubes are widely used for stretchable strain sensors application. Since electrical properties varies by the geometrical properties of nanomaterials, it is important to understand the effects of nanomaterials by strain to optimise the sensor performance. However, it is difficult to fabricate strain sensor using nanomaterials with exactly desired properties. Hence, in this study, we have developed a simulation method for conductive nanoparticles and nanotubes composite using Lennard-Jones potential model and the voter model. First, we optimised the distribution of nanocomposites using Lennard-Jones potential model in the boundary conditions according to external strain. Then, we counted the average attachment among nanomaterials by strain using the voter model which is directly influence electrical conductivity of strain sensors. Moreover, we validated proposed simulation method using experimental value of fabricated strain sensor with various nanocomposite composition ratio and packing ratio. Using the suggested method, the effect of geometrical properties of nanomaterials can be accurately estimated with low simulation cost. Finally, we obtained the simulation value for strain sensor performance by various diameter of nanoparticle, diameter of nanotube, and length of nanotube. We demonstrated that the diameter of nanoparticle is a primary factor for sensor performance while the diameter of nanotubes does not have great influence. Based on the simulation results, it was confirmed that the change of electrical conductivity according to the strain is the largest at small and uniform nanomaterials. The developed simulation method can be applied to the general analysis of electrical properties for nanocomposites.</P>
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Appropriate Smart Factory for SMEs: Concept, Application and Perspective
정우균,Dong-Ryul Kim,Hyunsu Lee,Tae Hun Lee,Insoon Yang,Byeng D. Youn,Daniel Zontar,Matthias Brockmann,Christian Brecher,Sung-Hoon Ahn 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.1
In the manufacturing industry, the smart factory is considered the final stage of the Fourth Industrial Revolution. Manufacturing companies are pursuing breakthroughs by introducing various advanced technologies to ensure their competitiveness. However, it is difficult for small and medium-sized enterprises (SMEs) to adopt smart-factory technologies, owing to financial and technical burdens. This paper proposes a smart factory that can be applied technically and strategically to the introduction of a smart factory for SMEs. The concept of an ‘appropriate smart factory’ involves applying appropriate measures in terms of cost and scale with consideration of the situations faced by SMEs. The goal is to build a smart factory that has necessary functions (Essential) but can be easily operated (Simple) at a low cost (Affordable) and has compatibility (Interoperable). This paper presents technical application measures such as appropriate smart sensors, appropriate IoT (Internet of Things), and small data processing, along with the definition of an appropriate smart factory. In addition, a case study was examined where the quality inspection equipment for garment manufacturing SMEs was developed by applying the appropriate smart factory concept.
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