Bibliographies thématiques / Industrial multi-component systems

Littérature scientifique sur le sujet « Industrial multi-component systems »

Auteur : Grafiati
Publié le 11 mars 2023

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Articles de revues sur le sujet "Industrial multi-component systems"

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Zhao, Jing Rui, Kai Ming Cheng, Yong Du et Li Jun Zhang. « Thermodynamic Calculation of Liquidus Projection of Multiple Aluminum Alloys ». Materials Science Forum 913 (février 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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Bucaioni, Alessio, Saad Mubeen, Federico Ciccozzi, Antonio Cicchetti et Mikael Sjödin. « Modelling multi-criticality vehicular software systems : evolution of an industrial component model ». Software and Systems Modeling 19, no 5 (30 avril 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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Niu, Gang, et Junjie Jiang. « Prognostic control-enhanced maintenance optimization for multi-component systems ». Reliability Engineering & ; System Safety 168 (décembre 2017) : 218–26. http://dx.doi.org/10.1016/j.ress.2017.04.011.

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Kramer, Vivian, et 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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Adjoul, Oussama, Khaled Benfriha, Chawki El Zant et Améziane Aoussat. « Algorithmic Strategy for Simultaneous Optimization of Design and Maintenance of Multi-Component Industrial Systems ». Reliability Engineering & ; System Safety 208 (avril 2021) : 107364. http://dx.doi.org/10.1016/j.ress.2020.107364.

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Si, Shubin, Gregory Levitin, Hongyan Dui et Shudong Sun. « Component state-based integrated importance measure for multi-state systems ». Reliability Engineering & ; System Safety 116 (août 2013) : 75–83. http://dx.doi.org/10.1016/j.ress.2013.02.023.

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Van Horenbeek, Adriaan, et Liliane Pintelon. « A dynamic predictive maintenance policy for complex multi-component systems ». Reliability Engineering & ; System Safety 120 (décembre 2013) : 39–50. http://dx.doi.org/10.1016/j.ress.2013.02.029.

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Zhu, Zhicheng, et Yisha Xiang. « Condition-based maintenance for multi-component systems : Modeling, structural properties, and algorithms ». IISE Transactions 53, no 1 (27 avril 2020) : 88–100. http://dx.doi.org/10.1080/24725854.2020.1741740.

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Assaf, Roy, Phuc Do, Samia Nefti-Meziani et 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 (août 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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Park, Jong-Kweon, Seung-Kook Ro, Byung-Sub Kim, Woo-Cheol Shin et Hyeon-Hwa Lee. « Precision Component Technologies for Microfactory Systems Developed at KIMM ». International Journal of Automation Technology 4, no 2 (5 mars 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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Thèses sur le sujet "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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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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Chapitres de livres sur le sujet "Industrial multi-component systems"

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Richter, Th, W. Ehrfeld, V. Hessel, H. Löwe, M. Storz et A. Wolf. « A Flexible Multi-Component Microreaction System for Liquid Phase Reactions ». Dans Microreaction Technology : Industrial Prospects, 636–44. Berlin, Heidelberg : Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59738-1_67.

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Fedorovich, O., O. Uruskyi, V. Kosenko, L. Lutai et I. Zamirets. « METHODOLOGY OF ARCHITECTURE-ORIENTED SYNTHESIS IN COMPONENT DESIGN OF AEROSPACE COMPLEXES ». Dans 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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Khalgui, Mohamed, et Olfa Mosbahi. « Reconfigurable Embedded Control Systems ». Dans Reconfigurable Embedded Control Systems, 235–73. 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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Morosanu, Irina, Carmen Teodosiu, Lavinia Tofan, Daniela Fighir et Carmen Paduraru. « Valorization of Rapeseed Waste Biomass in Sorption Processes for Wastewater Treatment ». Dans 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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Khalgui, Mohamed. « Multi-Agent Reconfigurable Embedded Systems ». Dans Reconfigurable Embedded Control Systems, 1–30. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-086-0.ch001.

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The chapter deals with reconfigurable embedded control systems following component-based technologies and/or Architecture Description Languages used today in industry. The author defines Control Components as software units to support control tasks of the system which is assumed to be a network of components with precedence constraints. The author defines an agent-based architecture to handle automatic reconfigurations under well-defined conditions by creating, deleting or updating components to bring the whole system into safe and optimal behaviors. To cover all reconfiguration forms, the agent is modelled by nested state machines such that states correspond to other state machines. Several complex networks can implement the system where each one is executed at a given time when a corresponding reconfiguration scenario is automatically applied by the agent. To check the correctness of each one of them, we apply in several steps a refinement-based approach that automatically specifies feasible Control Components according to NCES. The model checker SESA is automatically applied in each step to verify deadlock properties of new generated components, and it is manually used to verify CTL-based properties according to user requirements. We implement the reconfiguration agent by three modules that allow interpretations of environment evolutions, decisions of useful reconfiguration scenarios and finally their applications. Two Industrial Benchmark Production Systems FESTO and EnAS available in the author’s research laboratory are applied to explain the paper contribution.
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Schenzel, Karl, et René Hofmann. « Optimal Integration of a Stratified Thermal Energy Storage into a Multi-Component Industrial Energy System ». Dans Computer Aided Chemical Engineering, 1429–34. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-823377-1.50239-1.

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Brunello, Andrea, Paolo Gallo, Enrico Marzano, Angelo Montanari et Nicola Vitacolonna. « An Event-Based Data Warehouse to Support Decisions in Multi-Channel, Multi-Service Contact Centers ». Dans Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering, 880–900. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9023-2.ch043.

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Multi-channel contact centers are an increasingly important component of today's business world. They serve as a primary customer-facing channel for firms in many different industries, and employ millions of operators across the globe. During their operation, they generate vast amounts of data, ranging from automatically registered logs to handwritten notes and voice recordings. Unfortunately, in most firms, data of interest is unstructured, and stored in several databases, making their exploitation very hard. This article presents a decision support system for a multi-channel, multi-service contact center for front office business process outsourcing, along with its prospective extension to a decision management system. Its core is an enterprise-wide data warehouse, based on the general concept of an event. The proposed system supports a broad new set of advanced analysis tasks, ranging from operator performance assessment to call-flow simulation and data mining, providing operational and management staff the basis for taking effective operative and strategic decisions.
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Reeberg de Mello, Alexandre, et Marcelo Ricardo Stemmer. « Automated Visual Inspection System for Printed Circuit Boards for Small Series Production ». Dans Developing and Applying Optoelectronics in Machine Vision, 79–107. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0632-4.ch003.

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There is a crescent need to produce Printed Circuit Boards (PCB) in a customized and efficient way, therefore, there is an effort from the scientific and industrial community to improve image processing techniques for PCB inspection. The methods proposed at this chapter aim the formation of a system to inspect SMD (Surface Mounted Devices) components in a SSP (Small Series Production), ensuring a satisfactory production quality. This way, a 3-step inspection system is proposed, formed by image preprocessing, feature extraction and evaluation components, based on characteristics related to shape, positioning and histogram of the component. The inspection machine used in this project is inserted in a cooperation among machines context, in order to provide a fully autonomous factory, coordinated by a multi-agent system. Experimental obtained results show that the proposed inspection system is suitable for the case, reaching a success rate above 89% when using actual components.
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Garg, Harish. « Bi-Criteria Optimization for Finding the Optimal Replacement Interval for Maintaining the Performance of the Process Industries ». Dans Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, 643–75. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9644-0.ch025.

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The optimization of the maintenance decision making can be defined as an attempt to resolve the conflicts of decision situation in such a way that variable under the control of the decision maker take their best possible value. One of the most important controllable parameters is the time interval between maintenance. Most of the researchers have kept the fact that whenever the suitable maintenance interval is reached, the system is replaced with the original one. However the improvement of a system life not only depends on the replacement of deteriorated components, but also on the effectiveness of the maintenance. Taking care about this fact, the effects of maintenance of a multi-component system by combining the three main different PM actions, namely (1a), (1b) and (2p)-maintenance actions. Thus, the main purpose of an effective maintenance program is to present a technique for finding the optimal maintenance interval for the system by considering the multiple goals of the organization viz. maximum availability, minimum maintenance cost.
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Actes de conférences sur le sujet "Industrial multi-component systems"

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Clark, James D., et Bernard H. Stark. « Component sizing for multi-source renewable energy systems ». Dans 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, et Xiaoyan Zhu. « Working-Condition Importance Measures for Multi-Component Systems ». Dans 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 et Noureddine Zerhouni. « Prognostics of health status of multi-component systems with degradation interactions ». Dans 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, et Nan Chen. « A survey of condition-based maintenance modeling of multi-component systems ». Dans 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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Gong, Wenjun, Yunxia Chen, Yi Yang et Rui Kang. « Economic life prediction of repairable multi-component systems based on extension theory ». Dans 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 et B. Jung. « Affinity analysis using apriori algorithm to identify failure dependence in multi-component systems ». Dans 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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Mund, Friederike C., Anestis I. Kalfas, Reza S. Abhari, Yasemin Turcan, Jean Hourmouziadis, Isabelle Tre´binjac et Andre´ Vouillarmet. « A Multi-Component and Multi-Disciplinary Student Design Project Within an International Academic and Industrial Collaboration ». Dans ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38163.

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The design of modern aircraft engines increasingly involves highly sophisticated methodologies to match the current development pace. International company relations affect the collaboration between design offices all around the world. An important part of academic mission of modern engineering education is to produce graduates with skills compatible with industrial needs. Education may readjust accordingly to meet the higher requirements. However, a realistic scenario of the design process of an aircraft engine cannot possibly be transferred one-to-one into the student education process. A unique attempt to overcome this discrepancy was the International Gas Turbine Project. Within this project, undergraduate students have designed the cooling system of the HPT blades for a 30,000 lb thrust two-spool turbofan aeroengine. This project was collaboration between the Jet Propulsion Laboratory of TU Berlin, the Turbomachinery Group of EC Lyon and the Turbomachinery Laboratory of ETH Zurich. It also involved mentoring industry professionals from Rolls-Royce Deutschland, MTU, SNECMA and Alstom Power. Similar to modern aeroengine company structures, the design tasks included multi-component, multi-disciplinary and international interfaces of different educational systems. The student teams considered various aerothermodynamic and mechanical integrity aspects of the design. Particular attention was paid to design of the compressor, the secondary air system and the HP turbine including blade cooling. The three Universities integrated the project differently into their education curriculum and approached the tasks with different levels of software involvement. In this paper, the technical details of the design process, and the different approaches adopted are presented. Besides the application of turbomachinery-related knowledge, the impact of student interactions on the technical aspects of the project is discussed. The interfaces, including information management and the involvement of industrial partners are also addressed. Team spirit developed between the students from an initial competitive behavior to a final feeling of sitting in the same boat. It was observed that increased effort was required from academic staff in comparison to the conventional academic instruction. Nevertheless, students greatly benefited from the social interaction and an early training-on-the-job tuned to current industrial needs.
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Ragozin, A. N., V. F. Telezhkin et P. S. Podkorytov. « Forecasting complex multi-component time series within systems designed to detect anomalies in dataflows of industrial automated systems ». Dans the 12th International Conference. New York, New York, USA : ACM Press, 2019. http://dx.doi.org/10.1145/3357613.3357615.

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Feng, Xiaolong, Daniel Wa¨ppling, Hans Andersson, Johan O¨lvander et Mehdi Tarkian. « Multi-Objective Optimization in Industrial Robotic Cell Design ». Dans ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28488.

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It has become a common practice to conduct simulation-based design of industrial robotic cells, where Mechatronic system model of an industrial robot is used to accurately predict robot performance characteristics like cycle time, critical component lifetime, and energy efficiency. However, current robot programming systems do not usually provide functionality for finding the optimal design of robotic cells. Robot cell designers therefore still face significant challenge to manually search in design space for achieving optimal robot cell design in consideration of productivity measured by the cycle time, lifetime, and energy efficiency. In addition, robot cell designers experience even more challenge to consider the trade-offs between cycle time and lifetime as well as cycle time and energy efficiency. In this work, utilization of multi-objective optimization to optimal design of the work cell of an industrial robot is investigated. Solution space and Pareto front are obtained and used to demonstrate the trade-offs between cycle-time and critical component lifetime as well as cycle-time and energy efficiency of an industrial robot. Two types of multi-objective optimization have been investigated and benchmarked using optimal design problem of robotic work cells: 1) single-objective optimization constructed using Weighted Compromise Programming (WCP) of multiple objectives and 2) Pareto front optimization using multi-objective generic algorithm (MOGA-II). Of the industrial robotics significance, a combined design optimization problem is investigated, where design space consisting of design variables defining robot task placement and robot drive-train are simultaneously searched. Optimization efficiency and interesting trade-offs have been explored and successful results demonstrated.
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Nardin, Chiara, Oreste S. Bursi, Fabrizio Paolacci, Gianluca Quinci, Igor Lanese et Alberto Pavese. « Shake Table Testing for a Multi-Component Prototype Industrial Plant : Input and System Modelling Issues ». Dans ASME 2021 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/pvp2021-61702.

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Abstract Recent destructive earthquakes in China (Sichuan, 2008 and Yushu, 2010), Japan (Tohoku, 2011) and Italy (Emilia, 2012) highlighted the social and the political consequences of seismic risk due especially to industrial facilities. More precisely, critical interactions between the supporting structure and process components reveal to be extremely vulnerable in a seismic scenario and capable to lead serious damage of process equipment and potential release of hazardous substances. This latter circumstance, underestimated by current codes, in addition to loss of production, pose a serious danger to humans and the surrounding environment. Based on these premises, the SPIF project — Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities — was proposed within the framework of the European H2020 - SERA funding scheme. In greater detail, the goal of the project is the investigation of both the seismic behavior and the dynamic interactions of a representative industrial substructure equipped with complex process technology by means of shaking table tests. A full-scale mock-up composed by two single-bay moment resisting frames with three floors equipped with tanks, flanges, pipes, cabinet etc. was built and tested using a unidirectional shaking table activated with several earthquake levels. More precisely, the salient features investigated by shaking table testing are: i) the interaction between a primary moment resisting frame steel structure and secondary process components that influence the performance of the whole system; ii) input and system modelling capable to faithfully reproduce the seismic response of SPIF tested structure. The comprehensive testing campaign demonstrated a clear dynamic interaction between the primary steel structure and secondary process units that emphasizes the need of further investigations and studies.
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