Search or ask a question

How do you hook up a capacitor to a furnace?

Reduction (complexity)

Answers from top 17 papers

PDF

Open Access

More filters

Papers (17)	Insight
Open access•Journal Article•DOI Prediction of Pre-reduction Shaft Furnace with Top Gas Recycling Technology Aiming to Cut Down CO2 Emission Shengli Wu, Jian Xu, Jun-ichiro Yagi, Xinying Guo, Lihua Zhang - Show less +4 more 01 Jan 2011-Isij International 23 Citations	As a typical nitrogen free ironmaking process, pre-reduction shaft furnace of COREX process (COREX shaft furnace) for short is suitable to adopt the technology aiming to cut down CO2 emission.
Proceedings Article•DOI 3-dimensional vertical parallel plate capacitors in an SOI CMOS technology for integrated RF circuits Jonghae Kim, Jean-Olivier Plouchart, Noah Zamdmer, Melanie J. Sherony, Liang-Hung Lu, Yue Tan, Meeyoung H. Yoon, Keith A. Jenkins, Mahender Kumar, Asit Kumar Ray, Lawrence F. Wagner - Show less +10 more 12 Jun 2003 38 Citations	Also, a VPP capacitor model is proposed for the first time to design the VPP capacitor.
Open access•Journal Article•DOI Low Inductive and Resistance Energy Capacitor Alexander Bolonkin 20 Dec 2018-Intelligenza Artificiale	The proposed capacitor allows you to reduce the installation of energy supply to a nuclear reactor and its cost a thousand times.
Journal Article•DOI Optimization of furnace design and growth parameters for Si Cz growth, using numerical simulation O.V. Smirnova, N.V. Durnev, K.E. Shandrakova, E.L. Mizitov, V.D. Soklakov - Show less +4 more 01 Apr 2008-Journal of Crystal Growth 31 Citations	A modification of the furnace geometry is suggested to increase the growth rate.
Journal Article•DOI Modelling of a moving bed furnace for the production of uranium tetrafluoride. Part 2: Application of the model B. Dussoubs, J. Jourde, Fabrice Patisson, J.-L. Houzelot, D. Ablitzer - Show less +4 more 01 Jun 2003-Chemical Engineering Science	A sensibility study of various operating parameters shows how some can influence the UF 4 quality and underlines the strong coupling between the different zones of the furnace.
Proceedings Article•DOI A single-stage power factor corrected converter with continuous conduction mode operation and regenerative clamping Chongming Qiao, Keyue Smedley, F. Maddaleno, T. Brooks, T. Shimpo - Show less +4 more 10 Sep 2000	Therefore, a low cost capacitor can be used.
Open access•Journal Article•DOI Investigation on Behavior of Unburnt Pulverized Coal in Blast Furnace Yuji Iwanaga 01 Jan 1991-Tetsu To Hagane-journal of The Iron and Steel Institute of Japan	However, since the ash could built up in front of tuyeres, it is necessary to examine an actual blast furnace by sampling in-furnace materials to mitigate combustion conditions, to expand the range of usable quality of burden materials and to search possibility of blowing a great amount of PC.
Journal Article•DOI Simultaneous multi-element determination with coherent forward scattering spectrometry employing chromatically corrected polarizers and a fast scanning spectrometer Jens Bernhardt, Gerd Hermann, G. Lasnitschka - Show less +2 more 10 May 1999-Spectrochimica Acta Part B: Atomic Spectroscopy	Owing to modular construction the graphite furnace can be exchanged by a flame.
Journal Article•DOI Designing modern furnace cooling systems J. Merry, J. Sarvinis, N. Voermann - Show less +2 more 01 Feb 2000-JOM 20 Citations	The retrofit of the BHP Hartley electric furnace and the Kidd Creek copper converting furnace are successful examples of an integrated approach to furnace cooling design.
Journal Article•DOI Solar furnaces and their applications Felix Trombe 01 Apr 1957-Solar Energy 15 Citations	A short review of solar furnace applications and of the economics of their operations indicates increased importance and use for this type of furnace.
Journal Article•DOI Investigation of Furnace Uniformity and its Effect on High-Temperature Fixed-Point Performance B. Khlevnoy, M. K. Sakharov, S. A. Ogarev, V. Sapritsky, Yoshiro Yamada, K. Anhalt - Show less +5 more 09 Jan 2008-International Journal of Thermophysics 23 Citations	The agreement in plateau shapes demonstrates the capability of the BB3500YY furnace to also function as a filling furnace.
Journal Article•DOI A Power Conversion System for AC Furnace With Enhanced Arc Stability Yongsug Suh, Hyeoncheol Park, Yongjoong Lee, Peter Steimer - Show less +3 more 07 Sep 2010-IEEE Transactions on Industry Applications 21 Citations	The proposed converter topology having a high degree of arc stability is expected to bring about reliable operation of ac arc furnace and enhanced productivity of the total furnace system.
Journal Article•DOI Progress of Combustion in an Oxy-fuel Circulating Fluidized-Bed Furnace: Measurements and Modeling in a 4 MWth Boiler K Sadegh Seddighi, David Pallarès, Fredrik Normann, Filip Johnsson - Show less +3 more 01 Oct 2013-Energy & Fuels 33 Citations	The model result shows that a higher inlet O2 concentration generates combustion of greater intensity up through the furnace with a lower level of CO at the furnace exit.
Journal Article•DOI Three-Dimensional Asymmetric Flow and Temperature Fields in Cracking Furnaces† Arno J. M. Oprins, Geraldine Heynderickx, Guy Marin - Show less +2 more 13 Jul 2001-Industrial & Engineering Chemistry Research 37 Citations	A furnace simulation under conditions of nonuniform heating confirms the compensating nature of radiative heat streams in the furnace.
Journal Article•DOI On the effects of furnace gradients on interface shape during the growth of cadmium zinc telluride in EDG furnaces Lisa Lun, Andrew Yeckel, Michael D. Reed, Csaba Szeles, Prodromos Daoutidis, Jeffrey J. Derby - Show less +5 more 15 Apr 2006-Journal of Crystal Growth 29 Citations	explain how larger furnace gradients in these systems tend to flatten the shape of the solid–liquid interface.
Proceedings Article•DOI Gyrator-Capacitor Simulation Model of Nonlinear Magnetic Core Qianhong Chen, Xu Ligang, Xinbo Ruan, Siu-Chung Wong, Chi K. Tse - Show less +4 more 21 Mar 2009	This paper proposes an improved gyrator-capacitor core model, with a nonlinear resistor to simulate the hysteresis characteristic, with a nonlinear capacitor to simulate the core saturation.
Proceedings Article•DOI Dynamic modeling of reheat-furnace using neural network based on PSO algorithm Sun Xuegang, Yun Chao, Cui Yihui - Show less +2 more 18 Sep 2009	Verification results show that the model has a favorable adaptation to dynamics of furnace, and capability of predicting furnace temperatures precisely.

My columns

Related Questions

Do all furnaces have capacitors?9 answers

How do I know if I have a bad run capacitor in my furnace?7 answers

How do you hook up a capacitor to HVAC?18 answers

How do you hook up a pool pump capacitor?8 answers

How do you install a capacitor on an AC unit?10 answers

How long does furnace capacitor last?9 answers

See what other people are reading

How effective are mobile phone chargers that use electromagnetic energy in emergency situations?

Mobile phone chargers utilizing electromagnetic energy offer innovative solutions for emergency situations. Various approaches have been proposed, such as systems capturing Wi-Fi, mobile telephony, and international mobile communications signals for energy conversion. Additionally, a hand strength practice charger integrates physical exercise with emergency charging capabilities. These methods aim to address the challenge of maintaining mobile phone functionality during emergencies, where traditional power sources may be unavailable. Furthermore, strategies for alternative mobile phone charging in disaster scenarios have been surveyed, emphasizing the importance of reliable charging solutions beyond mains electricity supply. Overall, these diverse approaches showcase the potential of electromagnetic energy-based chargers to provide essential power during critical situations, ensuring mobile devices remain operational when needed most.What is the importance of water quality monitoring in aquaculture?

Water quality monitoring in aquaculture is crucial for ensuring optimal conditions for fish growth, health, and survival. Monitoring parameters like temperature, pH, and ammonia concentration allows for timely interventions to maintain water quality. Advanced control strategies help reduce operating costs, fish loss, and increase production efficiency, ultimately enhancing fish welfare and health. Real-time monitoring systems utilizing IoT and artificial intelligence enable continuous data collection and analysis, providing alerts for critical situations. Additionally, forecasting models based on advanced technologies like long short-term memory can further improve water quality management by predicting changes and enabling proactive measures to prevent fish mortality. Overall, water quality monitoring plays a vital role in aquaculture by promoting healthy fish growth, reducing mortality rates, and optimizing production efficiency.What are the mechanisms by which bacteria develop resistance to drugs?

Bacteria develop resistance to drugs through various mechanisms, including mutation of drug targets, secretion of hydrolases, efflux pump-mediated antibiotic expulsion, alteration/modification of drug targets, quorum sensing, and enzymatic degradation of antibiotics. The misuse of antibiotics provides an ideal environment for bacteria to exchange resistance genes through mutations and gene transfer, leading to antimicrobial resistance. Efflux pumps play a crucial role in bacterial resistance by extruding antibiotics from cells, contributing significantly to drug ineffectiveness. Overuse of antibiotics, extended hospitalization, and unintended prescriptions are major factors driving drug resistance in bacteria, necessitating strict regulations, ethical considerations, and awareness campaigns to combat this global health threat.How can remote sensing studies on determining sediment concentration be categorized?

Remote sensing studies on determining sediment concentration can be categorized into three main types based on the algorithms used: empirical, semi-analytical, and analytical algorithms. These algorithms utilize different approaches to quantify suspended sediment concentration in water bodies. Additionally, the data sources for establishing these inversion models can be divided into measured spectral data and satellite data, including marine satellite data, Landsat data, and meteorological satellite data. Furthermore, remote sensing techniques in the visible range of the electromagnetic spectrum have been utilized to analyze the relative concentration of sediments in water bodies, providing a cost-effective alternative to traditional field methods. By leveraging satellite imagery and reflectance data, these studies enable the estimation of suspended sediment concentration spatially and temporally, aiding in assessing water quality parameters efficiently.How to define global distribution in federated learning?

In federated learning, defining the global distribution involves addressing challenges like label distribution skew and non-IID data among clients. To tackle these issues, novel approaches like FedMGD, FedDKT, and a global perspective-based aggregation algorithmhave been proposed. These methods leverage techniques such as Generative Adversarial Networks (GANs) to model global data distribution without compromising privacy, extract and transfer distribution knowledge from diverse data to enhance model training, and consider the data distribution of participating clients to improve convergence speed and performance. By incorporating these advancements, federated learning can better capture the underlying global data distribution while respecting the privacy constraints and data heterogeneity across clients.What factors influence the successful and accurate reconstruction of terrain and surface from point clouds?

The successful and accurate reconstruction of terrain and surfaces from point clouds is influenced by several key factors. Traditional methods rely on handcrafted priors to address challenges like noise and missing data. However, deep learning approaches have emerged, allowing direct learning of priors from training data, enhancing robustness to defects and improving accuracy. Incorporating sensor visibility information into point clouds can significantly enhance surface reconstruction accuracy and generalization capabilities. Moreover, the ability to reconstruct surfaces from sparse point clouds with high accuracy is crucial. Methods that leverage on-surface priors and neural networks to learn Signed Distance Functions (SDFs) have shown state-of-the-art reconstruction accuracy, especially for sparse point clouds. These factors collectively contribute to achieving precise and reliable terrain and surface reconstructions from point clouds.How effective are mobile chargers that use electromagnetic energy in emergency situations?

Mobile chargers utilizing electromagnetic energy can be effective in emergency situations. Various methods have been proposed, such as using remote charging stations with magnetic fields, capturing electromagnetic waves from the environment with flat antennas and Villard voltage multipliers, and charging mobile phones via air to avoid power bank usage. Additionally, a method involving charging between two mobile phones has been suggested, allowing an electrical phone to charge an electroless one for emergency use. Furthermore, a mobile emergency power supply device has been designed, featuring battery systems, charging devices, and communication management units for flexible and efficient emergency power provision. These approaches showcase the potential of electromagnetic energy-based mobile chargers in addressing urgent charging needs during emergencies.What is Hallucination?

Hallucination is a perceptual phenomenon where individuals experience sensory perceptions without any external stimuli. Specifically, auditory hallucinations involve hearing sounds or voices that are not real, commonly seen in mental disorders like schizophrenia and bipolar disorder. These hallucinations can vary in valence, indicating the emotional tone of the voices heard, which can help assess the severity of the mental illness. Studies have shown that auditory hallucinations are prevalent in conditions like schizophrenia, other psychoses, affective disorders, dementia, substance-induced psychotic disorders, and delirium. Nursing interventions, such as therapeutic communication and generalist therapy, play a crucial role in managing auditory hallucinations and reducing associated symptoms like low self-esteem and self-care deficits.How does deep residual learning improve the accuracy of image recognition compared to traditional convolutional neural networks?

Deep residual learning enhances image recognition accuracy by addressing issues like gradient disappearance and capturing rich features. Residual networks incorporate residual blocks that allow for the learning of detailed information from shallow layers, improving classification accuracy. These networks utilize multi-scale feature fusion to prevent gradient vanishing and exploding problems, leading to improved accuracy in image classification tasks. Additionally, the use of residual structures with channel attention mechanisms and innovative pre-processing activation strategies further boosts precision in image steganalysis, surpassing traditional machine learning approaches. By combining local and global residual learning, deep residual networks can efficiently transfer information and extract rich feature texture information, resulting in better image reconstruction compared to traditional neural networks.What is XGBoost in multiclass?

XGBoost, or Extreme Gradient Boosting, is a powerful algorithm used in multiclass classification tasks. It has been applied in various fields such as predicting anemia and iron deficiency in women in Indonesia, identifying bus bunching rates, and classifying self-admitted technical debt (SATD) in software development. XGBoost enhances classification performance by handling issues like missing data, feature selection, and data imbalance through techniques like MissForest imputation, Boruta feature selection, and SMOTE algorithm. By utilizing XGBoost, researchers have achieved significant improvements in accuracy, AUC values, and measurement indicators of identification performance, making it a popular choice for multiclass classification tasks in different domains. Additionally, XGBoost has been successfully employed in building secure Intrusion Detection Systems (IDS) for imbalanced multiclass IIoT datasets, showcasing exceptional attack detection performance.How much data is required to train RetinaNet?

Training RetinaNet, a deep learning model for tasks like diagnosing eye diseases from retinal images, typically requires a significant amount of data. However, recent research has shown advancements in training deep learning models with limited datasets. For instance, a study proposed a Coherent Network (CoNet) for joint segmentation of retinal layers using less than a hundred training samples, achieving superior performance. Another approach involved a self-supervised training scheme that accurately predicted retinal thickness measurements from unlabeled cross-modal medical imaging data, outperforming traditional classifiers with scarce training data. Additionally, generative deep learning techniques have been explored to synthesize large datasets of artificial retina images, aiding in training diagnostic models without the need for extensive human-graded datasets. These innovative methods showcase the potential to train RetinaNet effectively with varying amounts of data.