Готові списки джерел за темами / Hybrid Twins

Добірка наукової літератури з теми "Hybrid Twins"

Автор: Grafiati
Опубліковано: 7 липня 2024
Оновлено: 7 липня 2024

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  3. Книги
  4. Частини книг
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Статті в журналах з теми "Hybrid Twins":

1

Nespolo, Massimo. "Plesiotwinsversusdiperiodic twins." Acta Crystallographica Section A Foundations and Advances 74, no. 4 (July 1, 2018): 332–44. http://dx.doi.org/10.1107/s2053273318005351.

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Plesiotwins and diperiodic twins have in common the fact of being characterized by a low degree of lattice restoration. Plesiotwins differ from twins by the fact that the relative orientation of the individuals is obtained by a non-crystallographic rotation about the normal to the composition plane, whereas for twins this rotation is crystallographic, apart from possible small deviations coming from metric pseudosymmetries. In the case of plesiotwins, the low degree of lattice restoration comes from a large coincidence site lattice (CSL) in the composition plane. Diperiodic twins, instead, have a small CSL in the composition plane but the second plane of the same family contributing to the overall lattice restoration is too far away from the composition plane to be considered significant. It is shown that plesiotwins can occur as reflection twins if the composition plane is not parallel to the twin plane, and as rotation twins in the case of parallel hemitropy. Diperiodic twins can in principle occur in any category, but either the metric conditions to obtain a diperiodic twin are actually in contrast with the metric pseudosymmetry required for twinning or the result is actually a hybrid twin. This justifies why no confirmed examples of diperiodic twins are known to date.
2

Pignatelli, Isabella, Massimo Nespolo, and Giovanni Ferraris. "A survey of hybrid twins in silicate minerals." European Journal of Mineralogy 23, no. 5 (December 1, 2011): 779–94. http://dx.doi.org/10.1127/0935-1221/2011/0023-2142.

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3

Ferraris, G., and M. Nespolo. "Hybrid twins in minerals." Acta Crystallographica Section A Foundations of Crystallography 64, a1 (August 23, 2008): C491. http://dx.doi.org/10.1107/s0108767308084213.

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4

Nespolo, Massimo, and Giovanni Ferraris. "A survey of hybrid twins in non-silicate minerals." European Journal of Mineralogy 21, no. 4 (August 31, 2009): 673–90. http://dx.doi.org/10.1127/0935-1221/2009/0021-1937.

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5

Marzouki, Mohamed Amine, Bernd Souvignier, and Massimo Nespolo. "The staurolite enigma solved." Acta Crystallographica Section A Foundations and Advances 70, no. 4 (May 17, 2014): 348–53. http://dx.doi.org/10.1107/s2053273314007335.

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Staurolite has been long considered an enigma because of its remarkable pseudosymmetry and the frequent twinning. Staurolite gives two twins whose occurrence frequency seems to contradict the condition of lattice restoration requested by the reticular theory of twinning, in that the more frequent one (Saint Andrews cross twin) has a twin index of 12, whereas the less frequent one (Greek cross twin) has a twin index of 6. The hybrid theory of twinning shows that the former is actually a hybrid twin with two concurrent sublattices and an effective twin index of 6.0. However, this is still not sufficient to explain the observed higher occurrence frequency of the Saint Andrews twin. The (pseudo)-eigensymmetry of the crystallographic orbits of staurolite has been analysed and it was found that the whole substructure built on anions is restored (with small deviations) by both twin laws, which explains why twinning is frequent in staurolite. On the other hand, 45% of the cation sites are quasi-restored in the Saint Andrews cross twin, against only 19% for the Greek cross twin: this difference finally explains the different occurrence frequencies of the two twins.
6

Emir Isik, Gülbahar, and Henri Hubertus Achten. "OPERATIONALISING CONCEPTS OF DIGITAL TWINS ON DIFFERENT MATURITY LEVELS (FOETAL, CHILD, ADULT) FOR THE ARCHITECTURAL DESIGN PROCESS." Proceedings of the Design Society 3 (June 19, 2023): 2825–34. http://dx.doi.org/10.1017/pds.2023.283.

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AbstractA digital twin is the mapping of a physical twin between hybrid spaces. The lifecycle of digital and physical twins occurs through the concepts of foetal, child, and adult twins. This technology can be used to assist clients and designers with real-time data. The use of digital twin technology in architectural design can be realised at various stages, from design to operation. Designers will be able to gain knowledge of the past, present, and future using this technology. This will reveal possible design scenarios. In this study, a hypothetical scenario is designed, in which designers build a building while already having a digital twin template. To do this, Building Information Modelling (BIM) is used as a reference model for digital twins, along with the fidelity levels of digital twins and the level of detail-development of BIM. When designers want to design a new project related to their predecessors, they already use the same type of digital twin-building portfolio they can use for their new design. A digital twin will help optimise the new process. Therefore, the digital twin of a building with a similar building type can be used to extract relevant data for the design process.
7

Yun, Seong-Jin, Jin-Woo Kwon, and Won-Tae Kim. "A Novel Digital Twin Architecture with Similarity-Based Hybrid Modeling for Supporting Dependable Disaster Management Systems." Sensors 22, no. 13 (June 24, 2022): 4774. http://dx.doi.org/10.3390/s22134774.

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Disaster management systems require accurate disaster monitoring and prediction services to reduce damages caused by natural disasters. Digital twins of natural environments can provide the services for the systems with physics-based and data-driven disaster models. However, the digital twins might generate erroneous disaster prediction due to the impracticability of defining high-fidelity physics-based models for complex natural disaster behavior and the dependency of data-driven models on the training dataset. This causes disaster management systems to inappropriately use disaster response resources, including medical personnel, rescue equipment and relief supplies, to ensure that it may increase the damages from the natural disasters. This study proposes a digital twin architecture to provide accurate disaster prediction services with a similarity-based hybrid modeling scheme. The hybrid modeling scheme creates a hybrid disaster model that compensates for the errors of physics-based prediction results with a data-driven error correction model to enhance the prediction accuracy. The similarity-based hybrid modeling scheme reduces errors from the data dependency of the hybrid model by constructing a training dataset using similarity assessments between the target disaster and the historical disasters. Evaluations in wildfire scenarios show that the digital twin decreases prediction errors by approximately 50% compared with those of the existing schemes.
8

Nespolo, Massimo, and Giovanni Ferraris. "The derivation of twin laws in non-merohedric twins. Application to the analysis of hybrid twins." Acta Crystallographica Section A Foundations of Crystallography 62, no. 5 (August 23, 2006): 336–49. http://dx.doi.org/10.1107/s0108767306023774.

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9

Kluge, Michelle L., Evan Graber, Kathryn Foley, Lynnette V. Hansen, Heidi L. Sellers, Dragana Milosevic, Kendall W. Cradic, and Stefan K. Grebe. "Monozygotic twins discordant for congenital adrenal hyperplasia due to mosaicism." European Journal of Endocrinology 182, no. 2 (February 2020): K7—K13. http://dx.doi.org/10.1530/eje-19-0249.

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Introduction Genotype-phenotype discordance occurs occasionally in congenital adrenal hyperplasia (CAH). Its causes are largely unknown. We describe a case of monochorionic, diamniotic twins with discordant clinical presentations of CAH, and show evidence for this being due to mosaicism resulting from a postzygotic full gene deletion of CYP21A2 prior to twinning. Case description A 7-day-old 36-week gestation female infant (Twin A) presented to the emergency department with elevated 17-hydroxyprogesterone (17-OHP). Her identical twin (Twin B) had normal 17-OHP on newborn screening. Both twins showed signs of virilization, more pronounced in Twin B. Molecular genetic testing of both twins and their parents showed a WT paternally-inherited CYP21A2 and a maternally-inherited copy containing the c.293-13C>G mutation. Both twins were also found to have a 5′-CYP21A1P/CYP21A2-3′ hybrid (product of the common 30-kb deletion), derived from the deletion of the paternally-inherited CYP21A2. Neither mother nor father carried the deletion. Conclusions The genetic findings are consistent with mosaicism for two CYP21A2 cell lines in both twins. The first cell line is expected, based on parental results, while the second line is due to a postzygotic full gene deletion of the paternally-inherited WT CYP21A2. The resultant genotype, compound heterozygosity for c.293-13C>G and a CYP21A2 full gene deletion, is consistent with a salt-wasting CAH phenotype. Differential distribution of the second cell line between the twins is most likely the cause for their discrepant phenotypes. We believe this is the first report of somatic CYP21A2 mosaicism, and represents a novel cause for discrepant CAH phenotypes in monozygotic twins.
10

Torregrosa, Sergio, Victor Champaney, Amine Ammar, Vincent Herbert, and Francisco Chinesta. "Hybrid twins based on optimal transport." Computers & Mathematics with Applications 127 (December 2022): 12–24. http://dx.doi.org/10.1016/j.camwa.2022.09.026.

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Статті в журналах Дисертації

Дисертації з теми "Hybrid Twins":

1

Torregrosa, jordan Sergio. "Approches Hybrides et Méthodes d'Intelligence Artificielle Basées sur la Simulation Numérique pour l'Optimisation des Systèmes Aérodynamiques Complexes." Electronic Thesis or Diss., Paris, HESAM, 2024. http://www.theses.fr/2024HESAE002.

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La conception industrielle d'un composant est un processus complexe, long et coûteux, contraint par des spécifications physiques, stylistiques et de développement précises en fonction de ses conditions et de son environnement d'utilisation futurs. En effet, un composant industriel est défini et caractérisé par de nombreux paramètres qui doivent être optimisés pour satisfaire au mieux toutes ces spécifications. Cependant, la complexité de ce problème d'optimisation multiparamétrique sous contraintes est telle que sa résolution analytique est compromise.Dans le passé, un tel problème était résolu expérimentalement par essais et erreurs, entraînant des processus de conception coûteux et chronophages. Depuis le milieu du 20e siècle, avec l'accès généralisé à des moyens de calcul de plus en plus puissants, les ``jumeaux virtuels'' ou simulations numériques basées sur la physique, sont devenus un outil essentiel pour la recherche, réduisant le besoin de mesures expérimentales. À la fin du XXe siècle, le volume de données augmente et se répands massivement dans la plupart des domaines. Ceci conduit à la prolifération des techniques d'Intelligence Artificielle (IA), ou ``jumeaux numériques'', remplaçant partiellement les ``jumeaux virtuels'' grâce à leur plus faible technicité. Aujourd'hui, ces évolutions ont abouti à un cadre où la théorie, l'expérimentation, la simulation et les données peuvent interagir en synergie et se renforcer mutuellement.Dans ce contexte, Stellantis vise à explorer comment l'IA peut améliorer le processus de conception d'un système complexe. A cette fin, l'objectif principal de cette thèse est de développer un modèle de substitution paramétrique de la géométrie d'un aérateur innovant. Le modèle renvoit la norme du champ de vitesse au niveau du visage du pilote afin d'explorer l'espace des géométries possibles tout en évaluant leurs performances en temps réel. Le développement d'un tel modèle basé sur des données pose plusieurs problèmes conceptuels qui peuvent être résolus par l'IA.L'utilisation de techniques de régression classiques peut conduire à des résultats non physiques dans certains domaines tels que la dynamique des fluides. Ainsi, le modèle de substitution paramétrique proposé est basé sur la théorie du Transport Optimal (OT) qui offre une approche mathématique pour mesurer des distances et interpoler d'une manière novatrice.Le succès d'un modèle basé sur des données dépend de la qualité des données d'entraînement. D'une part, les données expérimentales sont considérées comme les plus réalistes, mais elles sont extrêmement coûteuses et laborieuses. D'autre part, les simulations numériques sont plus accessibles et rapides, mais présentent un écart important par rapport à la réalité. Ainsi, une approche Jumeau Hybride est proposée, basée sur la théorie du OT, afin de combler l'ignorance entre la simulation et la mesure.Le processus d'échantillonnage des données d'entraînement est devenu une charge de travail centrale dans le processus de développement d'un modèle basé sur des données. Une méthodologie d'Apprentissage Actif est donc proposée pour sélectionner de manière itérative et intelligente les points d'entraînement, baséee sur les objectifs industriels attendus du composant étudié, afin de minimiser le nombre d'échantillons nécessaires. Ainsi, cette stratégie d'échantillonnage maximise les performances du modèle tout en convergeant vers la solution optimale du problème industriel.L'exactitude d'un modèle basé sur des données est généralement l’objectif principal lors de son entraînement. Or, la réalité est complexe et imprévisible, ce qui fait que des paramètres d'entrée peuvent être connus avec un certain degré d'incertitude. Par conséquent, une méthodologie de quantification des incertitudes, basée sur les estimateurs de Monte Carlo et l'OT, est proposée pour prendre en compte la propagation des incertitudes dans le modèle et pour quantifier leur impact sur sa précision
The industrial design of a component is a complex, time-consuming and costly process constrained to precise physical, styling and development specifications led by its future conditions and environment of use. Indeed, an industrial component is defined and characterized by many parameters which must be optimized to best satisfy all those specifications. However, the complexity of this multi-parametric constrained optimization problem is such that its analytical resolution is compromised.In the recent past, such a problem was solved experimentally, by trial and error, leading to expensive and time-consuming design processes. Since the mid-20th century, with the advancement and widespread access to increasingly powerful computing technologies, the ``virtual twins'', or physics-based numerical simulations, became an essential tool for research and development, significantly diminishing the need for experimental measurements. However, despite the computing power available today, ``virtual twins'' are still limited by the complexity of the problem solved and present some significant deviations from reality due to the ignorance of certain subjacent physics. In the late 20th century, the volume of data has surge enormously, massively spreading in the majority of fields and leading to a wide proliferation of Artificial Intelligence (AI) techniques, or ``digital twins'', partially substituting the ``virtual twins'' thanks to their lower intricacy. Nevertheless, they need an important training stage and can lead to some aversion since they operate as black boxes. Today, these technological evolutions have resulted in a framework where theory, experimentation, simulation and data can interact in synergy and reinforce each other.In this context, Stellantis aims to explore how AI can improve the design process of a complex aerodynamic system: an innovative cockpit air vent. To this purpose, the main goal of this thesis is to develop a parametric surrogate of the aerator geometry which outputs the norm of the velocity field at the pilot's face in order to explore the space of possible geometries while evaluating their performances in real time. The development of such a data-based metamodel entails several conceptual problems which can be addressed with AI.The use of classical regression techniques can lead to unphysical interpolation results in some domains such as fluid dynamics. Thus, the proposed parametric surrogate is based on Optimal Transport (OT) theory which offers a mathematical approach to measure distances and interpolate between general objects in a novel way.The success of a data-driven model relies on the quality of the training data. On the one hand, experimental data is considered as the most realistic but is extremely costly and time-consuming. On the other hand, numerical simulations are cheaper and faster but present a significant deviation from reality. Therefore, a Hybrid Twin approach is proposed based on Optimal Transport theory in order to bridge the ignorance gap between simulation and measurement.The sampling process of training data has become a central workload in the development process of a data-based model. Hence, an Active Learning methodology is proposed to iteratively and smartly select the training points, based on industrial objectives expected from the studied component, in order to minimize the number of needed samples. Thus, this sampling strategy maximizes the performance of the model while converging to the optimal solution of the industrial problem.The accuracy of a data-based model is usually the main concern of its training process. However, reality is complex and unpredictable leading to input parameters known with a certain degree of uncertainty. Therefore, a data-based Uncertainty Quantifcation methodology, based on Monte Carlo estimators and OT, is proposed to take into account the uncertainties propagation into the surrogate and to quantify their impact on its precision
2

Weißhuhn, J., T. Mark, M. Martin, P. Müller, A. Seifert, and S. Spange. "Ternary organic–inorganic nanostructured hybrid materials by simultaneous twin polymerization." Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-220068.

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The acid and base catalyzed simultaneous twin polymerization (STP) of various 2,2′-disubstituted 4H-1,3,2-benzodioxasiline derivatives 2a–d with 2,2′-spirobi[4H-1,3,2-benzodioxasiline] (1) are presented in this paper. The products are nanostructured ternary organic–inorganic hybrid materials consisting of a cross-linked organic polymer, silica and a disubstituted polysiloxane. It can be demonstrated whether and in which extent the copolymerization of the two inorganic fragments of 1 and 2 takes place among the STP and how the molar ratio of the two components determines the structure formation of the resulting hybrid material. Steric and electronic effects of the substituents at the silicon center of 2 on the molecular structure formation and the morphology of the resulting hybrid material were investigated by means of solid state CP MAS 29Si and 13C NMR spectroscopy as well as high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM). The mechanical properties (hardness and Young's modulus) of the hybrid materials were analyzed by means of nanoindentation measurements
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3

Sass, Monica A. "Seeing Double: Marie de France's Use of Twins and Hybrids in her Lais." University of Toledo Honors Theses / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=uthonors1418907558.

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4

USAI, VITTORIO. "Experimental Analysis and 1D Model Simulation of an Advanced Twin Stage Hybrid Boosting System." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1094853.

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Due to the increasingly restrictive limits of pollutant emissions, electrification of automotive engines is now mandatory. For this reason, adopting hybrid boosting systems to improve brake specific fuel consumption and time-to-boost is becoming common practice. In this thesis an innovative turbocharging system is analysed, consisting in an electrically assisted radial compressor and a traditional turbocharger. As a first step, the steady-state performance of each component was measured at the University of Genoa test rig. Due to problems related to over temperature, the working time of the e-compressor coupled to the electric motor is limited avoiding an accurate evaluation of compressor efficiency. For this reason a driving system (instead of the electric machine) was designed to provide a more accurate evaluation of the compressor map. Subsequently another experimental campaign was carried out to evaluate the transient response of the entire turbocharging system. Two different layouts were compared: upstream and downstream. In the upstream configuration the electrically assisted compressor was placed in front of the traditional turbocharger, in the downstream configuration the e-compressor was positioned after the traditional turbocharger. The two different coupling configurations, upstream and downstream, were then modelled in 1-D simulation software following the dimensions and characteristics of the experimental line from which the exploited data originates. The models were first validated by emulating the steady-state condition and subsequently the transient response was simulated and analysed. Secondly, the transient response of the two layouts was compared, removing the constraints imposed by the experimental activity.
5

Kitschke, Philipp, Marc Walter, Tobias Rüffer, Heinrich Lang, Maksym V. Kovalenko, and Michael Mehring. "From molecular germanates to microporous Ge@C via twin polymerization." Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-200917.

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Four molecular germanates based on salicyl alcoholates, bis(dimethylammonium) tris[2-(oxidomethyl)phenolate(2-)]germanate (1), bis(dimethylammonium) tris[4-methyl-2-(oxidomethyl)phenolate(2-)]germanate (2), bis(dimethylammonium) tris[4-bromo-2-(oxidomethyl)phenolate(2-)]germanate (3) and dimethylammonium bis[2-tert-butyl-4-methyl-6-(oxidomethyl)phenolate(2-)][2-tert-butyl-4-methyl-6-(hydroxymethyl)phenolate(1-)]germanate (4), were synthesized and characterized including single crystal X-ray diffraction analysis. In the solid state, compounds 1 and 2 exhibit one-dimensional hydrogen bonded networks, whereas compound 4 forms separate ion pairs, which are connected by hydrogen bonds between the dimethylammonium and the germanate moieties. The potential of these compounds for thermally induced twin polymerization (TP) was studied. Germanate 1 was converted by TP to give a hybrid material (HM-1) composed of phenolic resin and germanium dioxide. Subsequent reduction with hydrogen provided a microporous composite containing crystalline germanium and carbon (Ge@C – C-1, germanium content ∼20%). Studies on C-1 as an anode material for Li-ion batteries revealed reversible capacities of ∼370 mA h gGe@C−1 at a current density up to 1384 mA g−1 without apparent fading for 500 cycles
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6

DI, NAPOLI MARIA. "Modeling and experimental characterization of belt drive systems in micro-hybrid vehicles." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2715955.

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Belt Drive Systems (BDS) constitute the traditional automotive mechanism used to power the main internal accessories (such as the alternator, water pump and air conditioning pump) taking power from the engine's crankshaft rotational motion. BDS usually work in the severe ambient conditions of the engine compartment and are subject to highly dynamic excitations coming from the crankshaft harmonics. The substitution of the traditional alternator with an electric machine, namely Belt Starter Generator (BSG), is the most promising micro-hybrid technology towards a quick and effective satisfaction of the current regulations of fuel consumption and pollutant emissions reduction. The use of a BSG leads to increased stresses in the already complex front end accessory drive. As a matter of fact, a BSG is an electrical machine able to work both as motor and as generator and defines two distinct functioning modes of the drive, namely motor and alternator modes. The relative alternation of tight and slack spans profoundly changes the functionality of the overall drive and affects its transmissions capability and efficiency, furthermore resulting in NVH (noise vibration harshness) effects that need to be carefully addressed. Traditional automatic tensioners acting on the slack span of the alternator mode application are not capable of facing the irregular stresses of a BSG-based BDS which requires the use of a tensioning device capable of keeping the belt tension inside a safe range and of preventing slippage during all the operating conditions of the drive. With this goal many solutions are currently being investigated, such as the cooperation of two tensioners one for each span, active tensioners, double arm tensioners or hydraulic tensioners. The critical issues due to the involvement of BSG in BDS require a deep study focused on the tension conditions of the belt and its influence on the overall efficiency of the system. The aim of the research described in this thesis is to obtain a defined modelling approach of belt drive systems for micro-hybrid vehicles and to validate it through extensive experimental analysis. To obtain a reliable testing environment, a dedicated full-electric test rig was designed and realized. The test rig presented in this work is capable of assuring the repeatability and accuracy of the measurements leaving aside the uncertainties deriving from the irregularities of the ICE behaviour that usually affect the experimental activities conducted on front engine accessory drives. After providing both the modelling and testing environment as assets for the analysis, several experimental activities are carried out with the goal of assessing the dynamic behaviour of belt drive systems and their efficiency, comparing the performances of different tensioning solutions, understanding the behaviour in static and dynamic conditions of a traditional automatic tensioner and one example of an omega twin arm tensioner, which is the tensioning solution most explored by the manufacturers at present. The ultimate goal of gaining a complete understanding of belt drive systems in the special case of micro-hybrid vehicles is eventually fulfilled by an experimental validation of the static and dynamic models proposed.
7

Mackey, Grant. "TWIN AND NARROW ROW WIDTH EFFECTS ON CORN (ZEA MAYS L.) YIELD AND WEED MANAGEMENT." UKnowledge, 2013. http://uknowledge.uky.edu/pss_etds/22.

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Corn or maize (Zea mays L.) has been grown in North America for many centuries, and an increase in corn production will continue to be needed. Agriculture producers must meet the demands of feeding and providing for an increasing population of people. In order to meet those needs, different production practices are being investigated as a way to increase grain yield. Field plots were conducted across the state of Kentucky in 2011 and 2012 to evaluate the interaction between hybrid, row width, and plant density on corn yield. The primary objectives were to test if 1) narrower rows increase grain yield, 2) higher plant densities increase yield in narrow and twin rows, and 3) the interactions among all factors. Three hybrids were evaluated in three row widths (76, 38 cm or twin) at target densities ranging from 74 000 to 124 000 plants ha-1. Interactions between hybrid, row width, and plant density occurred; however, effects on grain yield and plant physiological characteristics were small and variable across all environments. Plant density had the greatest impact on IPAR and grain yield. Field trials were conducted near Lexington and Princeton, Kentucky in 2011 and 2012 to evaluate the effects of row width on different weed management treatments in corn. The objectives were to 1) evaluate five weed management methods in three row widths (76, 38 cm or twin) and 2) estimate the effect of these practices on corn yield. Herbicides used within each weed management strategy included the residual herbicide S-metholachlor + atrazine (1.4 + 1.8 kg/ha) applied preemergence (PRE) and/or glyphosate (0.86 kg/ha) postemergence (POST). Weed management treatments consisted of a PRE only, PRE followed by POST, POST only, POST + PRE, and an untreated control. Row spacing had little effect on weed suppression and control except for two cases. In general, PRE followed by POST and POST + Residual treatments controlled weeds better compared to PRE only and POST only treatments. Corn yields were higher when a herbicide was used compared to applying no herbicide application. KEYWORDS: Row spacing, Plant Density, Corn Hybrids, Weed Management, Herbicide Application Timing
8

Gregorio, Jean-Loup. "Contribution à la définition d'un jumeau numérique pour la maîtrise de la qualité géométrique des structures aéronautiques lors de leurs processus d'assemblage." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASN008.

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Les opérations d'assemblage de structures aéronautiques font aujourd'hui appel à une planification particulière se basant sur la maquette numérique des produits considérés. Pour permettre une bonne réalisation de ces opérations, la géométrie du produit physique doit rester aussi fidèle que possible à la géométrie de référence contenue dans la maquette numérique. Du fait de la complexité des produits considérés, des écarts géométriques non-anticipés peuvent cependant apparaitre et occasionner un allongement des délais et une augmentation des coûts d’assemblage.L’intégration croissante de systèmes de traitement de l’information ouvre des perspectives nouvelles quant à la façon d’organiser les systèmes de production. Ces perspectives incluent notamment la possibilité d’optimiser les opérations de fabrication et d’assemblage en temps réel à travers l’utilisation de jumeaux numériques des produits manufacturés. Nous proposons dans ces travaux la mise en place d’un jumeau numérique géométrique, capable de refléter la géométrie du produit physique en cours d’assemblage et d’optimiser la géométrie de certains composants restant à assembler.Dans cette optique, la maquette numérique initiale est actualisée afin d’obtenir une représentation dite hybride du produit. Cette représentation inclut les différents états des composants, que nous nommons textit{as-designed}, textit{as-built} et textit{interface}. Les composants textit{as-built} sont plus particulièrement actualisés de manière à refléter la géométrie du produit physique en cours d’assemblage. Une méthode d’actualisation, s’appuyant sur des données numérisées est proposée. A partir de là, la géométrie de composants dits textit{interfaces} est également actualisée afin de garantir le respect des exigences fonctionnelles sur le produit assemblé. Une méthode d’actualisation est également proposée à cet effet.La faisabilité de l’approche ainsi que des outils proposés est évaluée à travers deux cas d’application, dont un est directement représentatif du contexte industriel des travaux. Les résultats obtenus permettent notamment d’envisager d’enrichir l’approche proposée avec la prise en compte de contraintes non-géométriques dans le but d’optimiser le déroulement des opérations d’assemblage
Assembly operations of aerostructures are nowadays planned using the Digital Mock Up of the considered products. To allow a good realization of the aforementioned operations, the geometry of the physical product must remain as faithful as possible to the reference geometry contained in the Digital Mock Up. Because of the complexity of the considered products, unanticipated geometrical deviations may however appear. These geometrical deviations lead to longer cycle times and higher assembly costs.The increasing integration of data processing system gives new prospects on how to organize production systems. These prospects include the possibility to optimize the manufacturing and assembly operations in real time thanks to the use of digital twins of the manufactured products. In this work, we propose the implementation of a geometrical digital twin. This digital twin is capable of mirroring the geometry of the physical product being assembled and optimizing the geometry of some components remaining to be assembled.With this in mind, the initial Digital Mock Up is updated in order to obtain a hybrid representation of the product. This representation includes the different states of the components, which are called as-designed, as-built and interface. The as-built components are more particularly updated in order to mirror the geometry of the physical product being assembled. A method using digitized data is proposed. From there, the geometry of interface components is updated so that the final product complies with the functional requirements which were defined. A method is also proposed for this purpose.The feasibility of the approach as well as the proposed tools is evaluated through two application cases, one of which is directly representative of the industrial context of the works. The obtained results allow to consider enriching the proposed approach by considering non-geometrical constraints in order to optimize assembly operations
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Göring, M., A. Seifert, K. Schreiter, P. Müller, and S. Spange. "A non-aqueous procedure to synthesize amino group bearing nanostructured organic–inorganic hybrid materials." Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-152006.

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Amino-functionalized organic–inorganic hybrid materials with a narrow distributed nanostructure of 2–4 nm in size were obtained by means of a template-free and non-aqueous procedure. Simultaneous twin polymerization of novel amino group containing twin monomers with 2,2′-spirobi[4H-1,3,2-benzodioxasiline] has been applied for this purpose. The amino groups of the organic–inorganic hybrid material are useful for post derivatization
Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
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An, Jeongki [Verfasser], Andreas [Akademischer Betreuer] Binder, and Harald [Akademischer Betreuer] Neudorfer. "Design of a permanent magnet synchronous machine for hybrid electric vehicles with twin electric machines and a range extender / Jeongki An ; Andreas Binder, Harald Neudorfer." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020. http://d-nb.info/1213907667/34.

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Книги з теми "Hybrid Twins":

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Mehring, Michael, Stefan Spange, Alexander Auer, Matthias Birkner, and Giovanni Bistoni. Twin Polymerization: New Strategy for Hybrid Material Synthesis. De Gruyter, Inc., 2018.

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Mehring, Michael, Stefan Spange, Alexander Auer, Matthias Birkner, and Giovanni Bistoni. Twin Polymerization: New Strategy for Hybrid Materials Synthesis. de Gruyter GmbH, Walter, 2018.

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3

Mehring, Michael, Stefan Spange, Alexander Auer, Matthias Birkner, and Giovanni Bistoni. Twin Polymerization: New Strategy for Hybrid Materials Synthesis. de Gruyter GmbH, Walter, 2018.

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Частини книг з теми "Hybrid Twins":

1

Pohlkötter, Fabian J., Dominik Straubinger, Alexander M. Kuhn, Christian Imgrund, and William Tekouo. "Unlocking the Potential of Digital Twins." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, 190–99. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_18.

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AbstractIncreasing competitive pressure is confronting the automotive industry with major challenges. As a result, conventional reactive maintenance is being transformed into predictive maintenance. In this context, wearing and aging effects no longer lead to plant failure since they are predicted at an earlier stage based on comprehensive data analysis.Furthermore, the evolution towards Smart Factory has given rise to virtual commissioning in the planning phase of production plants. In this process, a Hardware-in-the-Loop (HiL) system combines the real controls (e.g., PLC) and a virtual model of the plant. These HiL systems are used to simulate commissioning activities in advance, thus saving time and money during actual commissioning. The resulting complex virtual models are not further used in the series production.This paper builds upon virtual commissioning models to develop a Digital Twin, which provides inputs for predictive maintenance. The resulting approach is a methodology for building a hybrid predictive maintenance system. A hybrid prediction model combines the advantages of data-driven and physical models. Data-driven models analyse and predict wearing patterns based on real machine data. Physical models are used to reproduce the behaviour of a system. From the simulation of the hybrid model, additional insights for the predictions can be derived.The conceptual methodology for a hybrid predictive maintenance system is validated by the successful implementation in a bottleneck process of the electric engine production for an automotive manufacturer. Ultimately, an outlook on further possible applications of the hybrid model is presented.
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Ali, Muhammad A., Rehan Umer, and Kamran A. Khan. "Experimental-Empirical Hybrid Approach." In CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0, 153–70. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8021-5_7.

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Ali, Muhammad A., Rehan Umer, and Kamran A. Khan. "Experimental-Numerical Hybrid Reinforcement Characterization Framework." In CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0, 73–94. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8021-5_4.

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4

Bellavista, Paolo. "Enabling Distributed and Hybrid Digital Twins in the Industry5.0 Cloud Continuum." In Lecture Notes in Computer Science, 139–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12429-7_10.

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Jain, Rajat, Nikhil Bharat, and P. Subhash Chandra Bose. "Digital Twins of Hybrid Additive and Subtractive Manufacturing Systems–A Review." In Lecture Notes in Mechanical Engineering, 173–83. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6094-1_18.

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Pfeifer, Denis, Andreas Baumann, Marco Giani, Christian Scheifele, and Jörg Fehr. "Hybrid Digital Twins Using FMUs to Increase the Validity and Domain of Virtual Commissioning Simulations." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, 200–209. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_19.

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AbstractThe main objective of virtual commissioning is to help design and validate the control systems of entire production plants. Therefore, simulations on a logical and kinematic level are performed, typically in a Software- or Hardware-in-the-Loop configuration using the original control software and controller [1].However, the lack of level of detail means that this type of simulation is insufficient for an integrated system dynamics and control algorithms design. These engineering tasks are currently performed in separate tools, e.g. by finite element analysis, multibody simulations or by a combination, i.e. elastic multibody systems (EMBS) [2]. However, the designed components are only considered individually and not in the context of the control technology used. Therefore, primarily synthetic inputs are used and not the original control behavior. With a higher level of simulation detail, further questions about the system, such as the effect of control algorithms on the dynamic processes, can be virtually validated.Therefore, this paper explores hybrid component-based digital twins to combine the advantages of both VC and EMBS. Hybrid components allow the simulation of the interactions between process, machine and control system with a high level of detail where this is beneficial. Such integration is achieved using the Functional Mock-up Interface (FMI) to couple different simulation models in a co-simulation environment [3]. This is demonstrated in a simulation use case of an inverted pendulum. The level of detail of individual components in the virtual commissioning tool ISG-virtuos [4] is increased by the modular integration of elastic multibody simulations via FMI so that the swing-up controller can be designed in the simulation.
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Schumann, Dorit, Marco Bleckmann, and Peter Nyhuis. "Hybrid Production Structures as a Solution for Flexibility and Transformability for Longer Life Cycles of Production Systems." In Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, 289–99. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62582-4_26.

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Abhilash, P. M., Jibin Boban, Afzaal Ahmed, and Xichun Luo. "Digital twin-driven additive manufacturing." In Hybrid Metal Additive Manufacturing, 196–221. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003406488-12.

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Chinesta, Francisco, Fouad El Khaldi, and Elias Cueto. "Hybrid Twin: An Intimate Alliance of Knowledge and Data." In The Digital Twin, 279–98. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21343-4_11.

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Badawy, Ibrahim, A. M. Bassiuny, Rania Darwish, and A. S. Tolba. "A Digital Twin of a Remote Real-Time Accessible Labs." In Towards a Hybrid, Flexible and Socially Engaged Higher Education, 200–212. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52667-1_21.

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Тези доповідей конференцій з теми "Hybrid Twins":

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Lin, Yu-Wen, Tsz Ling Elaine Tang, and Costas J. Spanos. "Hybrid Approach for Digital Twins in the Built Environment." In e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447555.3466585.

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2

Nafors, Daniel, Bjorn Johansson, Per Gullander, and Sven Erixon. "Simulation in Hybrid Digital Twins for Factory Layout Planning." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9384075.

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3

Abburu, Sailesh, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic, and Nenad Stojanovic. "COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry." In 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2020. http://dx.doi.org/10.1109/ice/itmc49519.2020.9198403.

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Zhang, Guobin, and Xinying Wang. "Digital Twin Modeling for Photovoltaic Panels Based on Hybrid Neural Network." In 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI). IEEE, 2021. http://dx.doi.org/10.1109/dtpi52967.2021.9540210.

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Thummerer, Tobias, Artem Kolesnikov, Julia Gundermann, Denis Ritz, and Lars Mikelsons. "Paving the way for Hybrid Twins using Neural Functional Mock-Up Units." In 15th International Modelica Conference 2023, Aachen, October 9-11. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp204141.

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Porting Neural Ordinary Differential Equations (NeuralODEs), the combination of an artificial neural network and an ODE solver, to real engineering applications is still a challenging venture. However, we will show that Neural Functional Mock-up Units (NeuralFMUs), an evolved subgroup of NeuralODEs that contain Functional Mock-up Units (FMUs), are able to cope with these challenges. This paper briefly introduces to the topics NeuralODE and NeuralFMU and describes the procedure and considerations to apply this technique to a real engineering use case. Further, different workflows to apply NeuralFMUs dependent on tool capabilities and use case requirements are discussed. The presented method is illustrated with the creation of a Hybrid Twin of an hydraulic excavator arm, which has various challenges such as discontinuity, nonlinearity, oscillations and characteristic maps. Finally we will show, that the created Hybrid Twin, on basis of measurement data from a real system, gives more accurate results compared to a conventional simulation model based on first principles.
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Wang, Yuxiao, Xingyuan Dai, Kara Wang, Hub Ali, and Fenghua Zhu. "Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning." In 2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI). IEEE, 2023. http://dx.doi.org/10.1109/dtpi59677.2023.10365415.

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Grimmeisen, Philipp, Yuliang Ma, Mihai A. Diaconeasa, and Andrey Morozov. "Automated Generation of Hybrid Probabilistic Risk Models From SysML V2 Models of Software-Defined Manufacturing Systems." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95433.

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Abstract The concepts of Software-Defined Manufacturing (SDM) and Digital Twins emphasize the current trend in production system development. These systems are characterized by frequent software updates to address adjustable production processes and higher system flexibility. These software-intensive systems are safety-critical and require a thorough reliability analysis. This implies the necessity to automatically re-evaluate the reliability before each software update. In this paper, we introduce a new Model-to-Model (M2M) transformation method that enables the automatic generation of hybrid reliability models from the Digital Twin formalism based on SysML v2. The models of the Digital Twin are extended with reliability data. The method includes (i) transformation of behavioral models to Markov chains, (ii) transformation of structural models to fault trees, and (iii) the generation of hybrid reliability models based on the software and system structure. Besides, this paper describes an SDM-system, based on a robotic manipulator, that fulfills two different tasks depending on the uploaded software. This case study shows that our M2M transformation method enables continuous reliability assessment of SDM-systems.
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Semenkov, Kirill, Vitaly Promyslov, and Alexey Poletykin. "Verification of Large Scale Control Systems with Hybrid Digital Models and Digital Twins." In 2020 International Russian Automation Conference (RusAutoCon). IEEE, 2020. http://dx.doi.org/10.1109/rusautocon49822.2020.9208167.

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Mustafee, Navonil, Alison Harper, and Joe Viana. "Hybrid Models with Real-time Data: Characterising Real-time Simulation and Digital Twins." In SW23 The OR Society Simulation Workshop. Operational Research Society, 2023. http://dx.doi.org/10.36819/sw23.031.

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Chenxi, Hu, Yang Qiliang, Xing Jianchun, Qin Xia, Li Suliang, and Jia Haining. "A Hybrid Knowledge-Data Model to Driving the Self-Evolution of Building Digital Twins." In 2022 34th Chinese Control and Decision Conference (CCDC). IEEE, 2022. http://dx.doi.org/10.1109/ccdc55256.2022.10034336.

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Звіти організацій з теми "Hybrid Twins":

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Mohanty, Subhasish. Hybrid AI-ML and FE-based Digital Twin Predictive Modeling Framework for a PWR Coolant System Components: Updates on Multi-Time-Series-3D-Location Dependent Usages Factor Prediction. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1874565.

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