Wyniki wyszukiwania - Biblioteka Nauki

1

Role of ontologies for CPS implementation in manufacturing

100%

Garetti M. , Fumagalli L. , Negri E.

Management and Production Engineering Review

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2015

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tom Vol. 6, No. 4

26--32

EN

Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.

2

Big Data: the current wave front of the tsunami

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Caldarola E. G. , Sacco M. , Terkaj W.

Applied Computer Science

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2014

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tom Vol. 10, no 4

7--16

EN

In recent years, a real tsunami has flooded many human activities. Genomics, Astronomy, Particle Physics and Social Sciences are just a few examples of fields which have been intensively invaded by a massive amount of data coming from simulation, experiments or exploration. This huge pile of data requires a new way to deal with, a real paradigmatic shift respect to the past as for theories, technologies or approaches in data management. This work outlines the current wave front of Big Data, starting from a possible characterization of this new paradigm to its most compelling applications and tools, with an exploratory research of Big Data challenges in manufacturing engineering.

3

Reconstructing a Manufacturing Laboratory to a Learning Factory: a TTK UAS Case Study

88%

Kangru T. , Moor M. , Rudz A. , Jänes A.

Journal of Machine Engineering

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2024

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tom Vol. 24, No. 3

133--140

EN

The rapidly developing manufacturing industry constantly needs top specialists to ensure sustainability (resource optimisation, production efficiency, sustainable products) and to implement the latest know-how (digitalisation, big data analytics, artificial intelligence). Those requirements, in turn, place higher demands on universities, curricula, teaching staff and, above all, laboratories to teach the concept of a smart factory. TTK University of Applied Sciences (TTK UAS) has come to an understanding that renovation of existing production laboratories is unavoidable. Keeping this in mind, a study needs to be conducted to investigate best practices and strategies to develop a new concept that best suits TTK UAS. In this article, the authors examine how to renovate and update the existing university laboratories (production, measurement, CAD/CAM) using simulation software with a Learning Factory concept in mind while still ensuring research development capability. Using the case-study methodology, factory automation simulation software, and a new pedagogical approach, the TTK UAS industrial engineering laboratories are functioning as a cluster, achieving higher learning and R&D efficiency.

4

Describing the technological scope of Industry 4.0 - a review of survey publications

63%

Schlund S. , Baaij F.

LogForum

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2018

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tom Vol. 14, no. 3

341--353

EN

Background: The paper addresses common difficulties of understanding the scope and the underlying technologies of "Industry 4.0". Existing definitions comprise a variety of technologies and applications, processes as well as business models. Their difficult differentiation has led to a complicated understanding of the topic altogether. Therefore, this study aims at a structuring of the scope of "Industry 4.0" using the average importance of its underlying technologies, as it is represented in 38 survey publications dedicated on Industry 4.0. Methods: Based on a review of existing survey literature on Industry 4.0, relevant technologies are identified. Next, these technologies are recapped in five technology areas. Furthermore, all technologies are assessed according to their relevance to Industry 4.0 using citation indices of the respective publication. Finally, two-dimensional figures are used to present an overview structure of all cited technologies, their structural connections and their relevance. In summary, a structuring of "Industry 4.0" through the cited technologies and their evolution over the years 2013 until 2016 is displayed to facilitate the understanding of significant research trends and promising application areas within "Industry 4.0". Conclusion: Compared to existing reviews and empirical approaches on the topic, this paper focusses on a review of survey literature specifically dedicated to an understanding of the concept of Industry 4.0. The results allow an overview of the respective relevance of technologies within the comprehensive scope of the topic. It shows the most often used technologies (web services with a relative importance of 3.46/5) as well as the evolvement of the importance of each technology within the period of 2013-2016.

PL

Wstęp: Powszechnie można się spotkać z trudnościami ze zrozumieniem pojęcia Industry 4.0 zarówno pod względem jego zakresu jak i związanych z nim technologii. Istniejące definicje obejmują różne technologie, aplikacje, procesy jak i modele biznesowe. Ich skomplikowane rozgraniczenie prowadzi do trudności ze zrozumieniem całości zagadnienia. Celem tej pracy jest ustrukturyzowanie zakresu Industry 4.0. poprzez zastosowanie średniej ważności powiązanych technologii w oparciu o 38 prac badawczych poświęconych zagadnieniu Industry 4.0. Metody: W oparciu o analizę istniejącej literatury naukowej, zidentyfikowano istotne technologie. Następnie, technologie te zostały uporządkowane w pięć obszarów technologicznych. Dodatkowo, wszystkie technologie zostały oszacowane w odniesieniu do ich istotności dla Industry 4.0 w oparciu o wskaźnik cytowalności odpowiedniej publikacji. W kolejnym kroku, dwuwymiarowe dane zostały użyte do zaprezentowania przeglądowej struktury wszystkich cytowanych technologii, ich strukturalnych połączeń i istotności. Następnie zaprezentowano strukturę Industry 4.0 poprzez cytowane technologie i ich ewolucję w latach 2013-2016 w celu ułatwienia zrozumienia istotnych trendów badań jak i obiecujących obszarów aplikacji związanych z Industry 4.0. Wnioski: W porównaniu do istniejących analiz porównawczych i podejść empirycznych, prezentowana praca skupia się na przeglądzie i analizie literatury z naciskiem na zrozumienie koncepcji Industry 4.0. Wyniki umożliwiają przegląd odpowiednich istotności technologii w obrębie badanego obszaru tematycznego. Prezentuje najczęściej stosowane technologie (usługi sieciowe ze względną ważnością 3,46/5) jak również rozwój istotności każdej z technologii w okresie 2013-16.

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Numerical and experimental study on high-speed nailing process for aluminum/steel structures induced by electromagnetic impact

63%

Cui J. , Li B. , Jiang H. , Li G.

Archives of Civil and Mechanical Engineering

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2020

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tom Vol. 20, no. 2

366--379

EN

The innovation of traditional machinery manufacturing and the promotion of advanced manufacturing technology are becoming the booster for the sustainable development of automobile industry. This paper aims to propose a promising manufacturing technology driven by electromagnetic impact, which is called as electromagnetic high-speed nailing. In this paper, the connection mechanism and joint performance (e.g., microtopography and mechanical properties) of the aluminum alloy 5052 (Al)/high-strength steel DP590 (HSS) structure were studied using simulation and experiment methods. A two-dimensional axisymmetric model based on mechanical–thermal finite element analysis was proposed to explore the formation process of the joints. Microscopic observations and effective plastic strain field analysis showed that excessive deformation of the Al sheet caused serious damage to the HSS sheet, thereby making the joint more susceptible to failure. Through mechanical properties tests, it was found that the mechanical properties of the joints with different discharge energies varies. Specifically, the joints at the discharge energy of 5.3 kJ had the highest maximum shear load. While the joints at the discharge energy of 5.1 kJ showed higher push-out strength because of the better wrapping and higher interlocking degree.