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Статті в журналах з теми "Industrial multi-component systems"

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Zhao, Jing Rui, Kai Ming Cheng, Yong Du, and Li Jun Zhang. "Thermodynamic Calculation of Liquidus Projection of Multiple Aluminum Alloys." Materials Science Forum 913 (February 2018): 589–95. http://dx.doi.org/10.4028/www.scientific.net/msf.913.589.

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Most aluminum alloys used in industrial manufacturing are multi-component systems. Unfortunately, multi-component systems are still lack of systematic research. The lack of research is especially evident for the liquidus surface projection of the multi-component system where most of the projections are currently drawn by hand. Thermodynamic calculations were performed for the Al–Cu–Mg–Mn quaternary system and the A1–Cu–Fe–Mg–Mn quinary system. The temperatures and compositions of the liquidus invariant reactions in the A1–rich corner for the two systems were calculated and compared with the experimental data. The current work provides a straightforward and accurate expression for the liquidus surface projections of multi-component systems. The expressions will facilitate the understanding of the multi-component alloy systems that are frequently used in industrial applications.
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Sanieva, Alina D. "CONTROL ALGORITHMS FOR MULTI-COMPONENT ELECTRIC DRIVE SYSTEMS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 11/9, no. 152 (2024): 11–17. https://doi.org/10.36871/ek.up.p.r.2024.11.09.002.

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The article is devoted to modern control algorithms for multi-component electric drive systems aimed at improving accuracy, reliability and energy efficiency. Basic control prin-ciples, such as synchronization and load distribution between drives, as well as more advanced methods - predictive, adaptive and distributed control are considered. Particular attention is paid to intelligent approaches using neural networks and machine learning algorithms to improve stability and optimize system operation. The prospects for integration with digital twins and the Industrial Internet of Things (IIoT), which allow real-time monitoring and control, are analyzed, as well as the prospects for creating autonomous systems based on AI that can function without operator intervention.
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Bucaioni, Alessio, Saad Mubeen, Federico Ciccozzi, Antonio Cicchetti, and Mikael Sjödin. "Modelling multi-criticality vehicular software systems: evolution of an industrial component model." Software and Systems Modeling 19, no. 5 (2020): 1283–302. http://dx.doi.org/10.1007/s10270-020-00795-5.

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Abstract Software in modern vehicles consists of multi-criticality functions, where a function can be safety-critical with stringent real-time requirements, less critical from the vehicle operation perspective, but still with real-time requirements, or not critical at all. Next-generation autonomous vehicles will require higher computational power to run multi-criticality functions and such a power can only be provided by parallel computing platforms such as multi-core architectures. However, current model-based software development solutions and related modelling languages have not been designed to effectively deal with challenges specific of multi-core, such as core-interdependency and controlled allocation of software to hardware. In this paper, we report on the evolution of the Rubus Component Model for the modelling, analysis, and development of vehicular software systems with multi-criticality for deployment on multi-core platforms. Our goal is to provide a lightweight and technology-preserving transition from model-based software development for single-core to multi-core. This is achieved by evolving the Rubus Component Model to capture explicit concepts for multi-core and parallel hardware and for expressing variable criticality of software functions. The paper illustrates these contributions through an industrial application in the vehicular domain.
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Hashemniya, Fatemeh, Erik Frisk, and Mattias Krysander. "Hierarchical Diagnosis Algorithm for Component-Based Multi-Mode Systems." IFAC-PapersOnLine 56, no. 2 (2023): 11317–23. http://dx.doi.org/10.1016/j.ifacol.2023.10.413.

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Ul Haque, Fahim, Aizizul Haque Raza, and Dr Md Mosharraf Hossain. "Optimizing Maintenance Cost in A Multi Component Environment." International Journal of Scientific and Management Research 08, no. 01 (2025): 99–120. https://doi.org/10.37502/ijsmr.2025.8105.

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This research presents a cost-centric approach to maintenance scheduling in multi-component systems, aimed at minimizing expenses while optimizing operational efficiency. By integrating predictive analytics and optimization techniques, we conduct a comprehensive analysis of production loss costs for diverse maintenance sequences, employing genetic algorithms to identify the most cost-effective strategy. Through rigorous exploratory data analysis, we refine our model and demonstrate its efficacy in achieving significant cost savings. A comparative case study showcases substantial reductions in maintenance expenses compared to traditional methods like RUL based scheduling, underscoring the potential of our approach in enhancing cost management and operational performance in industrial contexts. This study contributes valuable insights to the field of maintenance optimization and offers practical implications for industry practitioners seeking to improve cost-effectiveness and operational efficiency in multicomponent systems.
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Assaf, Roy, Phuc Do, Samia Nefti-Meziani, and Philip Scarf. "Wear rate–state interactions within a multi-component system: a study of a gearbox-accelerated life testing platform." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 4 (2018): 425–34. http://dx.doi.org/10.1177/1748006x18764061.

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The degradation process of complex multi-component systems is highly stochastic in nature. A major side effect of this complexity is that components of such systems may have unexpected reduced life and faults and failures that decrease the reliability of multi-component systems in industrial environments. In this work, we provide maintenance practitioners with an explanation of the nature of some of these unpredictable events, namely, the degradation interactions that take place between components. We begin by presenting a general wear model where the degradation process of a component may be dependent on the operating conditions, the component’s own state and the state of the other components. We then present our methodology for extracting accurate health indicators from multi-component systems by means of a time–frequency domain analysis. Finally, we present a multi-component system degradation analysis of experimental data generated by a gearbox-accelerated life testing platform. In doing so, we demonstrate the importance of modelling the interactions between the system components by showing their effect on component lifetime reduction.
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Niu, Gang, and Junjie Jiang. "Prognostic control-enhanced maintenance optimization for multi-component systems." Reliability Engineering & System Safety 168 (December 2017): 218–26. http://dx.doi.org/10.1016/j.ress.2017.04.011.

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Kramer, Vivian, and Annemarie Reimschuessel. "Characterization of multi-component polymer blends by multi-step staining techniques." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 930–31. http://dx.doi.org/10.1017/s0424820100106715.

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Morphology is one of the important parameters that affects polymer properties and performance. A standard procedure used when characterizing the morphology of many polymer blends by TEM is to stain one of the components with a heavy element rendering it opaque to the electron beam. Among the more common stains used are phosphotungstic acid (PTA) for nylon and OSO4 for unsaturated rubbers. Although these stains work well for simple two component systems, innovative techniques are often essential when the material contains three or more phases, as necessitated by ever expanding industrial demands. This paper describes two such techniques used in characterizing three multi-phase polymer systems.One multi-component system consisted of a polybutadiene-polymer blend, nylon, and a saturated rubber. OSO4 reacts with the double bonds of the butadiene rendering it opaque while slightly darkening its matrix. PTA reacts with the amine groups of nylon rendering it opaque.
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Park, Jong-Kweon, Seung-Kook Ro, Byung-Sub Kim, Woo-Cheol Shin, and Hyeon-Hwa Lee. "Precision Component Technologies for Microfactory Systems Developed at KIMM." International Journal of Automation Technology 4, no. 2 (2010): 127–37. http://dx.doi.org/10.20965/ijat.2010.p0127.

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This paper presents some of the recent research activities in the ongoing project for the development of high-tech component technologies for Microfactories at the Korea Institute of Machinery and Materials. Component technologies for Microfactory systems are key technologies for future development in this area, both in the R&D and industrial sectors, since many components are not currently available on the market. In this project, some key component technologies for Microfactory systems were chosen for development: multi-axis miniature air-bearing stages (including a planar motion stage), miniature high-speed spindles using air and magnetic bearings, shape memory alloy-based clamping devices for micro-tools and workpieces, optical multi-axis sensors for monitoring micro-tools and spindle rotation, and a numerical control system for the realization of flexible control algorithms. The design concepts and results for selected component technologies are briefly illustrated in this paper.
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Adjoul, Oussama, Khaled Benfriha, Chawki El Zant, and Améziane Aoussat. "Algorithmic Strategy for Simultaneous Optimization of Design and Maintenance of Multi-Component Industrial Systems." Reliability Engineering & System Safety 208 (April 2021): 107364. http://dx.doi.org/10.1016/j.ress.2020.107364.

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Дисертації з теми "Industrial multi-component systems"

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Yu, Jing. "A transform technique for obtaining reliability distributions for multi-component systems." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183476239.

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Nardin, Chiara. "Seismic experimental analyses and surrogate models of multi-component systems in special-risk industrial facilities." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/362462.

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Nowadays, earthquakes are one of the most catastrophic natural events that have a significant human, socio-economic and environmental impact. Besides, based on both observations of damage following recent major/moderate seismic events and numerical/experimental studies, it clearly emerges that critical non-structural components (NSCs) that are ubiquitous to most industrial facilities are particularly and even disproportionately vulnerable to those events. Nonetheless and despite their great importance, seismic provisions for industrial facilities and their process equipment are still based on the classical load-and-resistance factor design (LRFD) approach; a performance-based earthquake engineering (PBEE) approach should, instead, be preferred. Along this vein, in recent years, much research has been devoted to setting computational fragility frameworks for special-risk industrial components and structures. However, within a PBEE perspective, studies have clearly remarked: i) a lack of definition of performance objectives for NSCs; ii) the need for fully comprehensive testing campaigns data on coupling effects between main structures and NSCs. In this respect, this doctorate thesis introduces a computational framework for an efficient and accurate seismic state-dependent fragility analysis; it is based on a combination of data acquired from an extensive experimental shake table test campaign on a full-scale prototype industrial steel frame structure and the most recent surrogate-based UQ forward analysis advancements. Specifically, the framework is applied to a real-world application consisting of seismic shake table tests of a representative industrial multi-storey frame structure equipped with complex process components, carried out at the EUCENTRE facility in Italy, within the European SPIF project: Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities. The results of this experimental research campaign also aspire to improve the understanding of these complex systems and improve the knowledge of FE modelling techniques. The main goals aim to reduce the huge computational burden and to assess, as well, when the importance of coupling effects between NSCs and the main structure comes into play. Insights provided by innovative monitoring systems were then deployed to develop and validate numerical and analytical models. At the same time, the adoption of Der Kiureghian's stochastic site-based ground motion model (GMM) was deemed necessary to severely excite the process equipment and supplement the scarcity of real records with a specific frequency content capable of enhancing coupling effects. Finally, to assess the seismic risk of NSCs of those special facilities, this thesis introduces state-dependent fragility curves that consider the accumulation of damage effects due to sequential seismic events. To this end, the computational burden was alleviated by adopting polynomial chaos expansion (PCE) surrogate models. More precisely, the dimensionality of a seismic input random vector has been reduced by performing the principal component analysis (PCA) on the experimental realizations. Successively, by bootstrapping on the experimental design, separate PCE coefficients have been determined, yielding a full response sample at each point. Eventually, empirical state-dependent fragility curves were derived.
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Kothawade, Manish. "A Bayesian Method for Planning Reliability Demonstration Tests for Multi-Component Systems." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416154538.

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Wu, Xinying. "Heuristic for Multi-type Component Assignment Problems through the Birnbaum Importance." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1405257163.

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Alghanmi, Sameer Alghanmi. "OPPORTUNISTIC MAINTENANCE OPTIMIZATION BASED ON STOCHASTIC DEPENDENCE FOR MULTI-COMPONENT SYSTEM EXPOSED TO DIFFERENT FAILURE MODES." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1541695508236435.

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Dinh, Duc-Hanh. "Opportunistic Predictive Maintenance for Multi-Component Systems with Multiple Dependences." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0171.

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Анотація:
Les dépendances (économiques, stochastiques et/ou structurelles) entre composants influencent de manière significative le processus de dégradation des composants ainsi que le processus de prise de décision en maintenance. En ce sens, la non prise en compte des dépendances entre composants dans la modélisation de la maintenance pourrait entraîner des surcoûts de maintenance et un planning de maintenance sous-optimal. En lien avec ces considérations de nombreux travaux en maintenance prédictive de systèmes multi-composants avec des dépendances entre composants ont été récemment faits. Cependant, la plupart des modèles de maintenance prédictive existants ne permettent de prendre en compte qu'un seul type de dépendances, car la considération de plusieurs dépendances entraîne une complexité plus importante lors de la modélisation de la dégradation mais aussi la formalisation des processus de décision et d’optimisation de la maintenance. Cependant, dans les cas réels de systèmes industriels, plusieurs types de dépendances peuvent exister ensemble, notamment les dépendances économiques et structurelles. Par exemple, la plupart des systèmes mécaniques sont construits sur une structure hiérarchique impliquant que la maintenance d'un composant nécessite le démontage d'autres composants. L’objectif de cette thèse est donc d’intégrer à la fois des dépendances économiques et structurelles dans le processus de modélisation de la dégradation et le processus de décision en maintenance d'un système à composants multiples dans le cadre de la maintenance prédictive. Plus précisément, cet objectif repose sur deux axes scientifiques majeurs. Le premier consiste à étudier l'impact des dépendances structurelles et économiques sur le processus de dégradation des composants et sur la structure des coûts de maintenance. Le deuxième axe de recherche a pour objet d’intégrer les impacts des dépendances économiques et structurelles dans les processus de décision et d'optimisation de la maintenance. Face à ces problématiques, dans cette thèse nous avons proposé trois contributions principales : (1)-Formalisation et proposition de modèles mathématiques permettant de modéliser les dépendances structurelles et économiques entre composants; (2)-Développement d'un modèle de dégradation considérant les impacts de la dépendance structurelle entre composants; (3)-Développement d'une politique de maintenance prédictive opportuniste adaptée permettant de prendre en considération les impacts des dépendances économiques et structurelles dans les processus de prise de décision et d'optimisation de la maintenance. Enfin, pour évaluer la faisabilité et la valeur ajoutée ainsi que les limites des modèles proposées dans un cadre d'optimisation de la maintenance, une étude numérique sur un convoyeur industriel est investiguée<br>Recently, maintenance modeling for multi-component systems with dependences (economic, stochastic, and/or structural dependences) has been extensively studied. However, most of the existing studies only consider one type of dependence since combining more than one makes the models too complicated to analyze and solve. However, in practice, several types of dependences, especially, the economic and structural dependences, may exist together in the system. To face this issue, the main objective of this thesis is to consider both economic and structural dependences in maintenance modeling and optimization for multi-component systems in framework of predictive maintenance. For this purpose, the impacts of economic and structural dependences on the maintenance cost, duration and the degradation process of the components are firstly investigated. Mathematical models for quantifying the impacts of the economic and structural dependences are then developed. Finally, a multi-level opportunistic maintenance policy is proposed to consider the impacts of these dependences between components.Due to the structural dependence between components, when a maintenance (preventive or corrective action) occurs, only few components need to be disassembled. The disassembled components are subjected to both economic and structural dependences while the non-disassembled components are subjected to only economic dependence. In that way, the proposed maintenance policy is characterized by one preventive threshold, that is used to select survival components for preventive maintenance, and two opportunistic maintenance thresholds, that are used for opportunistic maintenance. When a maintenance occurs, the first opportunistic threshold is defined to select the non-disassembled components (with only economic dependence) while the second opportunistic threshold is then developed to consider the disassembled components for opportunistic maintenance (with both economic and structural dependences). To evaluate the performance of the proposed opportunistic maintenance policy, a cost model is developed. Particle swarm optimization algorithm is then implemented to find the optimal decision variables. Finally, the proposed opportunistic maintenance policy is illustrated through a conveyor system to show its feasibility and added value in maintenance optimization framework
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Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a provozní heuristiky. Tyto přístupy slouží jako základ pro zlepšování procesů. Avšak, jejich výkon lze dále zlepšit pomocí moderní výpočtové inteligence. Účelem této práce je tudíž aplikace pokročilých technik umělé inteligence a strojového učení za účelem zlepšování procesů v energeticky náročných průmyslových procesech. V této práci je využit přístup, který řeší tento problém simulací průmyslových systémů a přispívá následujícím: (i)Aplikace techniky strojového učení, která zahrnuje jednorázové učení a neuro-evoluci pro modelování a optimalizaci jednotlivých jednotek na základě dat. (ii) Aplikace redukce dimenze (např. Analýza hlavních komponent, autoendkodér) pro vícekriteriální optimalizaci procesu s více jednotkami. (iii) Návrh nového nástroje pro analýzu problematických částí systému za účelem jejich odstranění (bottleneck tree analysis – BOTA). Bylo také navrženo rozšíření nástroje, které umožňuje řešit vícerozměrné problémy pomocí přístupu založeného na datech. (iv) Prokázání účinnosti simulací Monte-Carlo, neuronové sítě a rozhodovacích stromů pro rozhodování při integraci nové technologie procesu do stávajících procesů. (v) Porovnání techniky HTM (Hierarchical Temporal Memory) a duální optimalizace s několika prediktivními nástroji pro podporu managementu provozu v reálném čase. (vi) Implementace umělé neuronové sítě v rámci rozhraní pro konvenční procesní graf (P-graf). (vii) Zdůraznění budoucnosti umělé inteligence a procesního inženýrství v biosystémech prostřednictvím komerčně založeného paradigmatu multi-omics.
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Частини книг з теми "Industrial multi-component systems"

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Oubari, Fouad, Raphael Meunier, Rodrigue Décatoire, and Mathilde Mougeot. "A Meta-VAE for Multi-component Industrial Systems Generation." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62281-6_17.

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Kataoka, Takayuki. "A Mathematical Model Considering Multi-skilled Operators and Industrial Robots on Reconfigurable Manufacturing Cells." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_39.

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AbstractA sustainable reconfigurable manufacturing system is one of the most important topics concerning sustainability. Basically, the reconfigurable manufacturing systems have two streams. One is the machine-intensive and the other is the labour-intensive. The machine-intensive means a cell formation problem (CFP) or a reconfigurable manufacturing system (RMS). On the other hand, the labour-intensive means a cellular manufacturing (CM) or a Cell Production System (CPS). Almost all manufacturing sites have these assembly lines separately, however, some advanced manufacturing sites have adopted both CM and CPS in order to absorb variability of demand and operators under the environment of limited multi-skilled operators. When the operators are replaced by industrial robots in the real world, they are called robotic cells and focused as an important component of the cyber-physical system in the large number of recent papers. Therefore, this paper tackles to indicate a multi-period mixed integer programming model to solve simultaneously 2-type cell systems considering multi-skilled operators and industrial robots on reconfigurable manufacturing cells sustainably. Firstly, the traditional model is redefined by new parameters. Secondly, the proposed model is solved by 2-phase optimization problems. Finally, the proposed model is compared with the traditional model by using numerical experiments.
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Richter, Th, W. Ehrfeld, V. Hessel, H. Löwe, M. Storz, and A. Wolf. "A Flexible Multi-Component Microreaction System for Liquid Phase Reactions." In Microreaction Technology: Industrial Prospects. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59738-1_67.

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Yuan, Xin’an, Wei Li, Jianming Zhao, Xiaokang Yin, Xiao Li, and Jianchao Zhao. "Novel Phase Reversal Feature for Inspection of Cracks Using Multi-frequency Alternating Current Field Measurement Technique." In Recent Development of Alternating Current Field Measurement Combine with New Technology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4224-0_5.

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AbstractAluminum and its alloys have been widely used in aerospace and other industrial fields. Aluminum and its alloy structures are prone to surface and subsurface cracks when they are used in harsh environments. In this paper, a novel phase reversal feature is found to classify and evaluate cracks using the multi-frequency alternating current field measurement (ACFM) technique. The theoretical model of the phase reversal feature is developed. The distorted electromagnetic field and response signals of surface and subsurface cracks are analyzed by the finite element method. The multi-frequency ACFM testing system is set up. The experiments are carried out to test surface and subsurface cracks. The results show that the response signals of the surface and subsurface cracks have distinct characteristic due to the phase reversal feature using the multi-frequency ACFM technique. The surface and subsurface cracks can be classified by the amplitude reversal phenomenon of the Bz signal caused by the novel phase reversal feature. The buried depth of the subsurface crack can be evaluated accurately by the reversal frequency component.
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Nakashima, Takuya, Hideaki Murayama, Ryota Wada, and Bryan Moser. "Multi-Layered Integration of System Models and Roadmaps for the Implementation of Autonomous Ships." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde240844.

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Анотація:
Maritime transport is critical for global and Japanese transportation infrastructure, facing crew and driver limits. Although autonomous ships are expected as a solution to tackle these limitations, the enabling environment, such as regulations, governance, and social acceptance is essential for their implementation along with technology. Industrial roadmaps can guide the design of autonomous ships, aligning user needs with technology. This study proposes a multi-layered approach to clarify the relationship among industrial systems, navigation systems, and component system performance and to design the concept of autonomous vessels and industrial policies in an integrated manner. The industrial model explores the appropriate decision-making set for maritime stakeholders and presents possible introduction roadmaps. The navigation model evaluates the performance of subsystems to achieve safety goals. This comprehensive approach defines the necessary steps for technology realization and supports achieving broader social goals. Future work will focus on validating these models through interactive workshops with decision-makers and expanding simulation scenarios to enhance the realism and practicality of the simulations.
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Khalgui, Mohamed, and Olfa Mosbahi. "Reconfigurable Embedded Control Systems." In Reconfigurable Embedded Control Systems. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-086-0.ch010.

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The chapter deals with distributed multi-agent reconfigurable embedded control systems following the component-based International Industrial Standard IEC61499 in which a Function Block (abbreviated by FB) is an event-triggered software component owning data and a control application is a distributed network of Function Blocks that have classically to satisfy functional and to meet temporal properties described in user requirements. The authors define a new reconfiguration semantic where a crucial criterion to consider is the automatic improvement of the system’s performance at run-time, in addition to its protection when hardware faults occur. To handle all possible cases in industry, the authors classify thereafter the reconfiguration scenarios into three forms before the authors define an architecture of reconfigurable multi-agent systems where a Reconfiguration Agent is affected to each device of the execution environment to apply local reconfigurations, and a Coordination Agent is proposed for any coordination between devices in order to guarantee safe and adequate distributed reconfigurations. A Communication Protocol is proposed in our research work to handle coordinations between agents by using well-defined Coordination Matrices. The authors specify both the reconfiguration agents to be modelled by nested state machines, and the Coordination Agent according to the formalism Net Condition/Event Systems (Abbreviated by NCES) which is an extension of Petri nets. To verify the whole architecture, the author check by applying the model checker SESA in each device functional and temporal properties described in the temporal logic “Computation Tree Logic”, but the authors have also to check any coordination between devices by verifying that whenever a reconfiguration is applied in a device, the Coordination Agent and other concerned devices should react as described in user requirements. The chapter’s contributions are applied to two Benchmark Production Systems available in our research laboratory.
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Fedorovich, O., O. Uruskyi, V. Kosenko, L. Lutai, and I. Zamirets. "METHODOLOGY OF ARCHITECTURE-ORIENTED SYNTHESIS IN COMPONENT DESIGN OF AEROSPACE COMPLEXES." In Innovative integrated computer systems in strategic project management. Press of the Kharkiv National University of Radioelectronics, 2022. http://dx.doi.org/10.30837/mmp.2022.035.

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The monograph is devoted to the problem of complex aerospace technique (AST) design usingmodern design tool based on component representation of multilevel AST structure.The relevance of the research topic is related to the increasing complexity of designed ASTproducts and requirements to reduce development time and minimize design risks.The aim of the study is to create a new methodology for architecture-oriented synthesis based on acomponent-based representation of a complex AST structure.In realizing the goal of the research, the tasks of AST component architecture decomposition;forming a set of components from past experience as well as innovative components; forminga database and knowledge of past experience based on precedents; creating a technology forsystem design of AST multilevel structure; minimizing design risks and ensuring project feasibilityfor creating innovative AST products were considered. The methodological basis of the conductedresearch is a systematic representation of the component multilevel structure of AST with activeuse of the experience of past developments. The competitiveness of new AST products is achieved byan optimal combination of components from past developments and new innovative components.By using the system technology of top-down synthesis, a multi-level component structure of AST isformed. The new AST product uses a multi-level precedent base of proven components from pastAST developments to find the right components. New AST components lead to increased timeand risk in the design and affect the feasibility of the project, which is investigated at all stagesof the AST development lifecycle. Scientific novelty and originality of the study are associatedwith the formation of a new system methodology based on the component design of complexhigh-tech products AST and the active use of positive experience of past developments.The mathematical methods used are: system analysis, component design, precedent approach,project management theory, cluster analysis, methods of qualitative evaluations, optimizationmethods, simulation modeling methods. For managers and specialists of research organizationsand industrial enterprises, teachers, students, masters and graduate students of highereducational institutions.
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Traber, Bruno, Heiko Jung, and Raphael Schaller. "Isocyanate-Free, Room-Temperature Curing Polyurethanes for Structural Applications." In Adhesives - Properties, Modifications, Typical and Innovative Applications [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1008852.

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This study presents the development and characterization of novel hybrid non-isocyanate polyurethanes (NIPUs) for structural adhesive applications. A one-pot synthesis method at room temperature was developed, combining polyfunctional cyclic carbonates, diethylenetriamine, and epoxy. Kinetic investigations revealed significant differences between bi- and tricyclic carbonates, with tricyclic variants demonstrating superior curing kinetics. The hybrid NIPUs exhibited remarkable lap-shear strengths of 14–16 MPa on untreated aluminum and planed beech wood after 12 hours of room-temperature curing. The absence of isocyanates offers health and safety advantages in various applications. The versatility of hybrid NIPUs was demonstrated through their broad adhesion spectrum and adaptable mechanical properties, positioning them as promising candidates for diverse industrial applications, including battery component encapsulation and multi-material laminates. While challenges remain, particularly in the availability of higher-functional cyclic carbonates, this research opens new avenues for high-performance adhesive systems.
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Sopan Mahato, Satya, Disha Mahata, Sanjibani Panda, and Shrabani Mahata. "Perspective Chapter: Sol-Gel Science and Technology in Context of Nanomaterials – Recent Advances." In Sol-Gel Method - Recent Advances. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.111378.

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Sol-gel method is a novel technology of producing new materials in a convenient and cost-effective way. This method allows a highly ordered and well-connected network structure to be developed and better controlled. It is a simple procedure to produce homogenous multi-component systems. Homogenous mixed oxides can be developed by combining different molecular precursor solutions. The advantages of sol-gel method include its simplicity, affordability, controllability, and ability to mass production of nano-sized particles with large surface areas. Due to this simplicity and versatility, sol-gel technology has higher admiration and industrial application compared to many prevailing methods and is widely being used in various fields. Sol-gel procedure has been comprehensively used as a common and practical way for the development of nano-structured materials for a wide range of applications. This chapter primarily concentrates on the fundamentals of sol-gel science, particularly with respect to the development of nanoparticles, and their numerous applications, with a focus on more recent, sophisticated, and advanced applications.
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Morosanu, Irina, Carmen Teodosiu, Lavinia Tofan, Daniela Fighir, and Carmen Paduraru. "Valorization of Rapeseed Waste Biomass in Sorption Processes for Wastewater Treatment." In Environmental Change and Sustainability [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94942.

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Circular economy provides an efficient framework for effective biomass valorization, through strategic use and processing of resources and waste reuse. Being the second largest energetic crop, rapeseed (RS) presents a high potential in this sense. However, good management of the large quantity of generated wastes from agro-industrial activities is required. The most common management strategies in this sense refer to the reuse of RS wastes (mainly stems and press-cake) for animal feed, compost, soil amendment and fertilizer. Valorization of RS wastes as adsorbent for wastewater treatment is attractive. Despite the fact that only few articles on this subject exist in literature, they are sufficient to reflect the potential of this adsorbent to remove both inorganic and organic compounds from aqueous phase. The rapeseed wastes were used in native form (for diluted effluents) or modified by chemical or thermal treatment (for concentrated effluents or large molecule contaminants). This chapter will provide a review on the RS wastes management strategies, highlighting the applications for removing contaminants from wastewater in single and multi-component systems, in static or continuous operation mode.
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Тези доповідей конференцій з теми "Industrial multi-component systems"

1

Nogaja, Akash, Mohit Tawarmalani, and Rakesh Agrawal. "An MINLP Formulation for Global Optimization of Heat Integration-Heat Pump Assisted Distillations." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.182820.

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Thermal separation processes, such as distillation, play a pivotal role in the chemical and petrochemical sectors, constituting a substantial portion of the industrial energy consumption. Consequently, owing to their huge application scales, these processes contribute significantly to greenhouse gas (GHG) emissions. Decarbonizing distillation units could mitigate carbon emissions substantially. Heat Pumps (HP), that recycle lower quality heat from the condenser to the reboiler by electric work present a unique opportunity to electrify distillation systems. In this research we try to answer the following question in the context of multi-component distillation � Do HPs actually reduce the effective fuel consumption or just merely shift the fuel demand from chemical industry to the power plant? If they do, what strategies consume minimum energy? To address these inquiries, we construct various simplified surrogate and shortcut models designed to effectively encapsulate the fundamental physics of the system. These models are integrated into a superstructure-based Mixed-Integer Nonlinear Programming (MINLP) formulation, which is amenable to global optimization algorithms aimed at minimizing the effective fuel consumption of the system. Moreover, through the examination of a toy 4-component alcohol separation example, we demonstrate how HPs can notably reduce carbon emissions, even when the consumed electricity is generated by burning fossil fuels.
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2

Wilds, Neil. "Performance of Next Generation CUI Mitigation Systems." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09331.

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Abstract Corrosion under Insulation (CUI) is one of the costliest problems facing the Oil &amp; Gas and Process industries today. According to corrosion engineers, problems such as major equipment outages and unexpected maintenance costs stemming from CUI account for more unplanned downtime than all other causes. Thermal insulation of piping, valves, tanks or vessels is achieved by an INTEGRAL SYSTEM comprising of corrosion mitigation coating, thermal insulation media, and external cladding. If there is a failure of any of the three components this will result in the failure of the entire system or loss of long-term purpose of the system. Corrosion under insulation (CUI) generally originates as a result of ingress of water from various sources such as rainfall, cooling tower drift, steam discharge, wash downs and, because insulation is not vapour tight, condensation. In the past manufacturers of the three separate components frequently compete between themselves who has the best component, forgetting that the failure of the two remaining components may negate superiority of their particular component. There are numerous corrosion mitigation coatings, a wide variety of different types of thermal insulation media, or types of external cladding. It is often the best combination of the three which results in the BEST THERMAL INSULATION SYSTEM that has the best chance in minimizing the CUI and fulfilling the long-term thermal insulation function. Apart from the costs incurred by equipment or process outages there are also other costs that are sometimes not considered and this is time taken to apply and handle the CUI coating system and the amount of repairs to CUI coatings in the field that occur adding to installed costs of the CUI system and increased project costs. Coatings utilised for the mitigation of CUI have been prominent for decades and are described in detail in NACE Standard SP0198-20101, “The Control of Corrosion Under Thermal Insulation and Fireproofing Materials - A Systems Approach” More recently, from the early 2000's, dedicated CUI coatings have been formulated but have been seen to be either; Too soft, often difficult to handle without damage in new construction or refurbishment scenarios such as piping and valves resulting in delays to installation of the coated specimenToo hard and brittle, often difficult to handle without damage in new construction or refurbishment scenarios such as piping and valves resulting in increased repairs The challenge laid down by the customers to the coating manufacturers is to develop next generation CUI coatings combining both flexibility and also mechanical performance without detracting from the thermal and anti-corrosion performance which will lead to a decrease in in field remedial works. This however this is only one part of the CUI mitigation system and does not get away from the fact that one of the major potential contributors to CUI is the type of insulation itself. This paper will detail the performance differences between 1st generation and the next generation of ‘Multi Polymeric Inorganic Copolymer ‘and the proven benefits observed by the end user in the field but will also look at the alternatives to traditional insulation in the fight against CUI.
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Eslami, Maryam, and Marc Singer. "Influence of Experimental Injection Method on the Inhibition Efficiency of Volatile Corrosion Inhibitors for Top-of-the Line Corrosion Mitigation." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19452.

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Abstract The extent of Top-of-the-Line Corrosion (TLC) can be reduced using volatile corrosion inhibitors (VCIs). The selection of the correct VCIs depends of course on the operating conditions (pCO2, pH2S, temperature, hydrocarbon co-condensation, organic acid concentration) and on the intrinsic properties of the inhibitor itself (water solubility, volatility, active components). Yet, the method used to inject the VCIs inside the producing pipeline could also be of practical importance, especially considering the complex environment of a multi-component condensing system. A concern among the related industries is the lack of a methodology that would allow for conducting experiments mimicking the field conditions and provide a guideline for extrapolating the experimental results to a larger scale. In this study, a methodology was developed to investigate the effect of injection methods on the inhibition efficiency of VCIs (model compounds decanethiol and hexanethiol). For this purpose, a system of two connected glass cells was designed enabling the injection of the VCIs into the system either through the liquid or directly into the gas phase. The experiments were conducted in the presence of a condensable hydrocarbon (n-Heptane) to investigate the partitioning effect. The results show that injection of the inhibitor through the gas or liquid phase has no influence on its inhibition efficiency, as long as the VCI is sufficiently volatile. Moreover, regardless of the injection method, the hydrocarbon phase interferes with the inhibition by decanethiol while it has no influence on hexanethiol. For a larger scale, it can be concluded that any length of pipe can be protected by an inhibitor injected through the liquid or gas phase if the inhibitor is an effective VCI.
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4

Clark, James D., and Bernard H. Stark. "Component sizing for multi-source renewable energy systems." In 2009 7th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2009. http://dx.doi.org/10.1109/indin.2009.5195784.

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Chen, Zhiqiang, and Xiaoyan Zhu. "Working-Condition Importance Measures for Multi-Component Systems." In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2019. http://dx.doi.org/10.1109/ieem44572.2019.8978591.

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Hafsa, Wael, Brigitte Chebel-Morello, Christophe Varnier, Kamal Medjaher, and Noureddine Zerhouni. "Prognostics of health status of multi-component systems with degradation interactions." In 2015 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2015. http://dx.doi.org/10.1109/iesm.2015.7380258.

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Wang, Rui, and Nan Chen. "A survey of condition-based maintenance modeling of multi-component systems." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7798160.

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Özgür-Ünlüakın, Demet, and Busenur Türkali Özbek. "A Threshold Based Proactive Maintenance Policy for Multi-Component Systems using DBNs." In 6th European International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2023. http://dx.doi.org/10.46254/eu6.20230257.

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Gong, Wenjun, Yunxia Chen, Yi Yang, and Rui Kang. "Economic life prediction of repairable multi-component systems based on extension theory." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7797927.

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Lopes, R. S., P. Do, C. A. V. Cavalcante, and B. Jung. "Affinity analysis using apriori algorithm to identify failure dependence in multi-component systems." In 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability. Institute of Mathematics & its Applications, 2021. http://dx.doi.org/10.19124/ima.2021.01.4.

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Звіти організацій з теми "Industrial multi-component systems"

1

Bray, Jonathan, Ross Boulanger, Misko Cubrinovski, et al. U.S.—New Zealand— Japan International Workshop, Liquefaction-Induced Ground Movement Effects, University of California, Berkeley, California, 2-4 November 2016. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2017. http://dx.doi.org/10.55461/gzzx9906.

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There is much to learn from the recent New Zealand and Japan earthquakes. These earthquakes produced differing levels of liquefaction-induced ground movements that damaged buildings, bridges, and buried utilities. Along with the often spectacular observations of infrastructure damage, there were many cases where well-built facilities located in areas of liquefaction-induced ground failure were not damaged. Researchers are working on characterizing and learning from these observations of both poor and good performance. The “Liquefaction-Induced Ground Movements Effects” workshop provided an opportunity to take advantage of recent research investments following these earthquake events to develop a path forward for an integrated understanding of how infrastructure performs with various levels of liquefaction. Fifty-five researchers in the field, two-thirds from the U.S. and one-third from New Zealand and Japan, convened in Berkeley, California, in November 2016. The objective of the workshop was to identify research thrusts offering the greatest potential for advancing our capabilities for understanding, evaluating, and mitigating the effects of liquefaction-induced ground movements on structures and lifelines. The workshop also advanced the development of younger researchers by identifying promising research opportunities and approaches, and promoting future collaborations among participants. During the workshop, participants identified five cross-cutting research priorities that need to be addressed to advance our scientific understanding of and engineering procedures for soil liquefaction effects during earthquakes. Accordingly, this report was organized to address five research themes: (1) case history data; (2) integrated site characterization; (3) numerical analysis; (4) challenging soils; and (5) effects and mitigation of liquefaction in the built environment and communities. These research themes provide an integrated approach toward transformative advances in addressing liquefaction hazards worldwide. The archival documentation of liquefaction case history datasets in electronic data repositories for use by the broader research community is critical to accelerating advances in liquefaction research. Many of the available liquefaction case history datasets are not fully documented, published, or shared. Developing and sharing well-documented liquefaction datasets reflect significant research efforts. Therefore, datasets should be published with a permanent DOI, with appropriate citation language for proper acknowledgment in publications that use the data. Integrated site characterization procedures that incorporate qualitative geologic information about the soil deposits at a site and the quantitative information from in situ and laboratory engineering tests of these soils are essential for quantifying and minimizing the uncertainties associated site characterization. Such information is vitally important to help identify potential failure modes and guide in situ testing. At the site scale, one potential way to do this is to use proxies for depositional environments. At the fabric and microstructure scale, the use of multiple in situ tests that induce different levels of strain should be used to characterize soil properties. The development of new in situ testing tools and methods that are more sensitive to soil fabric and microstructure should be continued. The development of robust, validated analytical procedures for evaluating the effects of liquefaction on civil infrastructure persists as a critical research topic. Robust validated analytical procedures would translate into more reliable evaluations of critical civil infrastructure iv performance, support the development of mechanics-based, practice-oriented engineering models, help eliminate suspected biases in our current engineering practices, and facilitate greater integration with structural, hydraulic, and wind engineering analysis capabilities for addressing multi-hazard problems. Effective collaboration across countries and disciplines is essential for developing analytical procedures that are robust across the full spectrum of geologic, infrastructure, and natural hazard loading conditions encountered in practice There are soils that are challenging to characterize, to model, and to evaluate, because their responses differ significantly from those of clean sands: they cannot be sampled and tested effectively using existing procedures, their properties cannot be estimated confidently using existing in situ testing methods, or constitutive models to describe their responses have not yet been developed or validated. Challenging soils include but are not limited to: interbedded soil deposits, intermediate (silty) soils, mine tailings, gravelly soils, crushable soils, aged soils, and cemented soils. New field and laboratory test procedures are required to characterize the responses of these materials to earthquake loadings, physical experiments are required to explore mechanisms, and new soil constitutive models tailored to describe the behavior of such soils are required. Well-documented case histories involving challenging soils where both the poor and good performance of engineered systems are documented are also of high priority. Characterizing and mitigating the effects of liquefaction on the built environment requires understanding its components and interactions as a system, including residential housing, commercial and industrial buildings, public buildings and facilities, and spatially distributed infrastructure, such as electric power, gas and liquid fuel, telecommunication, transportation, water supply, wastewater conveyance/treatment, and flood protection systems. Research to improve the characterization and mitigation of liquefaction effects on the built environment is essential for achieving resiliency. For example, the complex mechanisms of ground deformation caused by liquefaction and building response need to be clarified and the potential bias and dispersion in practice-oriented procedures for quantifying building response to liquefaction need to be quantified. Component-focused and system-performance research on lifeline response to liquefaction is required. Research on component behavior can be advanced by numerical simulations in combination with centrifuge and large-scale soil–structure interaction testing. System response requires advanced network analysis that accounts for the propagation of uncertainty in assessing the effects of liquefaction on large, geographically distributed systems. Lastly, research on liquefaction mitigation strategies, including aspects of ground improvement, structural modification, system health monitoring, and rapid recovery planning, is needed to identify the most effective, cost-efficient, and sustainable measures to improve the response and resiliency of the built environment.
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