Relevant bibliographies by topics / Coiling(strip)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Coiling(strip)'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Coiling(strip)"

1

Zhang, Zhi Min, Feng Qin Wang, Fei Li, Shu Zhi Wang, and Xiao Jiang. "Reason Analysis and Solutions of Low Coiling Temperature at Tail of ZSAC1 Strip during U-Type Cooling." Advanced Materials Research 988 (July 2014): 290–95. http://dx.doi.org/10.4028/www.scientific.net/amr.988.290.

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Coiling temperature, finish rolling temperature and running speed of ZSAC1 strip during U-type cooling and number of valves which had been turned on were analyzed in order to find out the reason of low coiling temperature at tail of ZSAC1 strip in U-type cooling process. Results of research showed that running speed of strip and finish rolling temperature were main factors affecting accuracy of coiling temperature. Coiling temperature decreased with the increase of running speed of strip. Coiling temperature fluctuation would occur at the same part of strip when finish rolling temperature increased or decreased. Holding rolling speed and rolling temperature of strip stably can improve accuracy of coiling temperature during downstream U-type cooling.
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Zhao, Ke, Zhi Gang Wang, and Chang Ming Liu. "Applying BP Neural Network Model to Forecast the Largest Coiling Torque of down Coilers." Advanced Materials Research 936 (June 2014): 1614–19. http://dx.doi.org/10.4028/www.scientific.net/amr.936.1614.

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Down coiler is an important equipment of hot rolling mill. The coiling torque is changing constantly in the process of strip steel coiling, and the largest coiling torque depends on several factors, such as the material and specification of coiling strip, the coiling temperature and the process parameters and so on. Only when the largest coiling torque is less than the carrying capacity could the coiler work in security. A topology relationship of the largest coiling torque among the materials, the specification of the strip and the coiling temperature is established. Based on the BP(backward propagation of errors) artificial neural network, a predicted formula model of the largest coiling torque in coiling high strength strip is built, which provides a theoretical basis for the development and utilization of the largest working potential of the down coiler. Keywords: Down Coiler; BP Neural Network; Coiling Torque; Forecast
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Sun, Tie Jun, Wei Dong Yang, Hai Gao, and Hong Tao Mi. "Coiling Temperature Prediction and Application Based on Genetic-Neural Network on Hot Strip Mill." Applied Mechanics and Materials 448-453 (October 2013): 3417–20. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3417.

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Coiling temperature control (CTC) is very important to the quality of the strip steel in Hot Strip Rolling Mill. In the paper, genetic algorithm and neural network method to predict coiling temperature on hot strip mill were put forward. The genetic-neural network was trained and checked with actual production data. The result indicates that the method can real-time predict the strip coiling temperature. The on-line prediction model and step track method has been put into use. The result shows that the method can settle lag influence in feedback control and the CTC control precision is improved greatly.
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Liu, En Yang, Wen Peng, Ning Cao, Si Rong Yu, Jun Xu, Liang Gui Peng, and Dian Hua Zhang. "Prediction of Coiling Temperature of Hot Rolled Strip Based on BP Neural Network." Applied Mechanics and Materials 633-634 (September 2014): 679–83. http://dx.doi.org/10.4028/www.scientific.net/amm.633-634.679.

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Coiling temperature of hot rolled strip is one of the important parameters which affect performances of hot rolled strip. The control of coiling temperature is highly nonlinear and time-varying. Based on the laminar cooling control system of a hot rolling plant, a coiling temperature prediction model based on BP neural network was established. Many factors which affect coiling temperature control were taken into account, and the BP neural network was trained by actual production data. The simulation was carried out, which indicates that coiling temperature can be predicted precisely, and the BP neural network model has the prospect of online application.
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Hou, Jing, Jin Xiang Pian, Yan Ling Sun, and Ke Xu. "Intelligent Setting Method of Laminar Cooling Process for Hot Rolled Strip." Advanced Materials Research 756-759 (September 2013): 4377–81. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.4377.

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In order to improve the control accuracy of the coiling temperature of strip in the laminar cooling process when working condition is varying, an intelligent setting method of the cooling water volume is researched in this paper. The strip coiling temperature mechanism model is built firstly. Secondly, the key model parameters are identified with case-based reasoning (CBR) technology to improve the model accuracy. Lastly, the cooling water volume setting method based the model is proposed where disturbance input method is applied. The simulation result showed that the proposed method can improve the strip coiling temperature accuracy when the operation condition is changing. The strip coiling temperature accuracy can be improved due to the CBR technology which can adjust the key model parameters according to the varying operation condition. So, the setting values based the improved model are adjusted with the changing working condition, with self-adaptive ability.
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Liu, Xiao Hua, Feng Dong, and Dong Cheng Wang. "Effect of Edge Masking on Residual Stress of Hot-Rolled Strip on Run-Out Table." Advanced Materials Research 1095 (March 2015): 732–35. http://dx.doi.org/10.4028/www.scientific.net/amr.1095.732.

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A numerical model including thermal and microstructural model is established for precisely prediction of residual stress of hot-rolled strip on run-out table. Temperature and phase transformation fraction are coupled and formulated for the calculation of thermal and transformation expansion that could induce internal stress. Residual stress for hot-rolled strip before and after coiling are calculated using C++ program. Influence of edge masking on residual stress is analyzed. It is concluded that edge masking makes the strip flatness better after coiling.
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Yu, Xiang Long, Zheng Yi Jiang, Xiao Dong Wang, Dong Bin Wei, and Quan Yang. "Effect of Coiling Temperature on Oxide Scale of Hot-Rolled Strip." Advanced Materials Research 415-417 (December 2011): 853–58. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.853.

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The influence of the coiling temperature, ranging from 550 to 570°C, on the morphology and the phase composition of the oxide scale formed on the microalloyed low carbon steel for automobiles after hot strip rolling was investigated. Physicochemical characteristics of the oxide scales were examined and their formation mechanism was discussed. Thickness of the oxide scale is in the range of 8-11µm and decreases with a decrease of coiling temperature. The microstructure and phase composition, XRD analysis shows a large amount of magnetite (Fe3O4) and some sparse hematite (Fe2O3) exist on the surface of hot rolled strip when the coiling temperature reduces from 570 to 550°C. The coiling temperature substantially affects the internal microstructure and magnetite phase.
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Xie, Hai Bo, Zheng Yi Jiang, Xiang Hua Liu, Guo Dong Wang, Tian Guo Zhou, and A. Kiet Tieu. "On-Line Optimization of Coiling Temperature Control on Run-Out Table for Hot Strip Mills." Key Engineering Materials 340-341 (June 2007): 701–6. http://dx.doi.org/10.4028/www.scientific.net/kem.340-341.701.

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Based on optimization setup technology, an online adaptive calculation method for improving accuracy of strip coiling temperature control on the run-out table (ROT) has been developed and implemented in hot strip mill (HSM). Multi-objective control strategies, which include coiling temperature, middle target temperature and appropriate cooling rates have been finalised. Cooling strategies, elements tracking, and dynamic correction are employed in the control system. In addition, the model optimization and soft-measure method are also introduced in the study. Rolling tests with various grades of steel covering a wide range of thickness show that the developed model can improve the accuracy of coiling temperature control to obtain an uniform mechanical properties. Good correlation has been found between the predicted temperatures and the actual coiling ones.
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Imanari, Hiroyuki, and Hiroaki Fujiyama. "Coiling Temperature Control in Hot Strip Mill." IEEJ Transactions on Industry Applications 125, no. 12 (2005): 1105–12. http://dx.doi.org/10.1541/ieejias.125.1105.

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10

Medenkov, A. A., A. I. Traino, and D. I. Alekseeva. "Regimes for coiling thin hot-rolled strip." Metallurgist 30, no. 5 (May 1986): 162–63. http://dx.doi.org/10.1007/bf00741083.

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Dissertations / Theses on the topic "Coiling(strip)"

1

Bitsindou, Pierre. "Contribution a l'etude et l'exploration de capteurs a courants de foucault utilisant des bobines plates pour la realisation d'un dispositif de detection selective et de positionnement en regard d'ecrous." Reims, 1989. http://www.theses.fr/1989REIMS002.

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On realise un capteur a courant de foucault permettant la detection selective et le positionnement des ecrous, des rivets et des trous places sur des plaques metalliques. Le capteur est constitue d'une bobine plate, formee de 2 spirales gravees sur les faces opposees d'un circuit imprime et inseree dans un circuit oscillant; on etudie la reponse frequentielle pour divers materiaux cibles
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Nam, Alexander. "Prozessübergreifende Berechnung der Temperatur und des Gefüges im Laufe des reversierenden Warmwalzens am Beispiel der Magnesiumlegierung AZ31." 2019. https://tubaf.qucosa.de/id/qucosa%3A36594.

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In der vorliegenden Arbeit wird ein prozessübergreifendes Simulationsmodell für die Temperatur- und Gefügeentwicklung im Band und Coil beim reversierenden Warmwalzen entwickelt. In der Software werden die erstmals aufgestellten Modelle der Bandab- und aufwicklung implementiert. Die Temperatur- und Gefügeveränderungen im gewalzten Warmband werden lokal und prozessübergreifend betrachtet. Die für das gesamte Modell notwendigen Koeffizienten zur Beschreibung der Wärmeübertragung wurden mittels der inversen Methode bestimmt. Die Bestimmung der radialen Wärmeübertragung im Coil erfolgte mit Hilfe von Laboruntersuchungen in Abhängigkeit von der Temperatur, der Banddicke und des radialen Druckes. Die Validierung des Modells für die Temperatur- und Gefügeentwicklung erfolgte am Beispiel des reversierenden Warmwalzens der Magnesiumlegierung AZ31. Zu diesem Zweck wurden Versuche zu Temperaturmessungen in den einzelnen Phasen der Prozesskette durchgeführt. Die Ermittlung der Einflüsse der Umformbedingungen auf die Temperatur- und Gefügeentwicklung während des reversierenden Warmbandwalzens erfolgte abschließend mit Hilfe des entwickelten Modells. Die Ergebnisse zeigen auf, wie sich die Walzbedingungen auf die Entwicklung der Temperatur und des Gefüges auswirken.
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Book chapters on the topic "Coiling(strip)"

1

Holl, H. J., G. Finstermann, K. Mayrhofer, and H. Irschik. "Nonlinear Vibrations During the Pass in a Steckel Mill Strip Coiling Process." In Nonlinear Dynamics of Production Systems, 305–16. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527602585.ch17.

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Xie, H. B., Zheng Yi Jiang, Xiang Hua Liu, Guo Dong Wang, Tian Guo Zhou, and Anh Kiet Tieu. "On-Line Optimization of Coiling Temperature Control on Run-Out Table for Hot Strip Mills." In Engineering Plasticity and Its Applications, 701–6. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-433-2.701.

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Bureerat, Sujin, Nantiwat Pholdee, Won-Woong Park, and Dong-Kyu Kim. "An Improved Teaching-Learning Based Optimization for Optimization of Flatness of a Strip During a Coiling Process." In Lecture Notes in Computer Science, 12–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49397-8_2.

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Méndez, Gerardo M., Luis Leduc-Lezama, Rafael Colas, Gabriel Murillo-Pérez, Jorge Ramírez-Cuellar, and José J. López. "Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill." In Lecture Notes in Computer Science, 352–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02319-4_42.

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Conference papers on the topic "Coiling(strip)"

1

Mukhopadhyay, A., S. Sikdar, and S. Sen. "An On-Line Model to Calculate the Strip Temperature at Run-Out Table of Tisco’s Hot Strip Mill." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47387.

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A Mathematical model has been developed to predict the temperature profile of the strip during water-cooling on the Run-out Table (ROT) of the Hot Strip Mill (HSM). This work describes the development and implementation of the model at Tisco’s HSM. The model has been developed using Explicit Finite Difference technique to predict the coiling temperature (CT). The model has been implemented successfully after having been validated with the actual coiling temperature (CT) for several thousand coils. A number of grades of steel with various thicknesses have been tested with this on-line model and the agreement of actual CT with the predicted ones was found very good. The on-line model is used to calculate the cooling rates at different segments of the strip that are used to obtain microstructure and mechanical properties.
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Feng, Xianzhang, Linlin He, and Yanmei Cui. "Analysis of Pressure Distribution during Coiling for Hot Continuous Strip." In 2009 Third International Symposium on Intelligent Information Technology Application. IEEE, 2009. http://dx.doi.org/10.1109/iita.2009.14.

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Li, Xudong, Shuzhi Wang, Fang Xu, Lijie Dong, Bo Gong, Changli Zhang, Ziying Liu, and Fengqin Wang. "Multiple Setup Model for Coiling Temperature Control in Hot Strip Mill." In 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/meees-18.2018.22.

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Zhang, Dazhi, and Ren Lianlei. "Research on Strip Head Telescope Control of Hot Strip Coiling Based on Orowan Uniform Compression Theory." In 2018 5th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2018. http://dx.doi.org/10.1109/icisce.2018.00200.

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Shimoda, Y., N. Suzuki, A. Xiong, and W. Guiling. "Data-Driven Dynamic Feedforward Compensation Method for Coiling Temperature Control in Hot Strip Mills." In AISTech2019. AIST, 2019. http://dx.doi.org/10.33313/377/156.

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Zhang, Zhimin, Changli Zhang, Fengqin Wang, Yanhui Hu, and Jinsheng Yang. "Improvement on accuracy of coiling temperature at tail of strip during U-type cooling process." In 5th International Conference on Advanced Design and Manufacturing Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icadme-15.2015.310.

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Davies, D. Ll, J. Watton, Y. Xue, and G. A. Williams. "Experimental Investigation Into Improved Wrapper Control of Hot Strip Steel Rolling Mill Downcoilers." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2517.

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With increasing international competition in steel production mainly from developing nations, it is important for steel plants to keep up to date with new technologies, and continuously improve on current practices and manufacturing techniques to remain competitive. This paper looks specifically at improvements to the hot rolling mill downcoilers, which is where the strip is coiled at the end of the rolling process. Hydraulic and pneumatic technology is combined to give accurate position control of guide wrappers that aid the initial coiling process. The paper presents an experimental test rig, using an actual wrapper guide, constructed to evaluate the specific design approach.
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Dazhi, Zhang, Ye Haili, and Xiang Xiaofei. "Coiling Temperature Optimal Setting Control Model Based on Genetic Algorithms and Application in Hot Strip Rolling Mill." In 2010 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icece.2010.151.

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Ro, Kwang Seop, Nagaraj Nayak K., Bharath Arikere, Saad Al-Shammary, Bimal K. Sarkar, and Adel A. Al-Butairi. "Optimization of Hot Rolling Process for API-X60 Grade Line Pipe Steel With Lower Yield/Tensile Ratio for ERW Pipe Application." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0094.

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The real challenge of achieving yield to tensile ratio (YR) lower than 0.85 along with YS & TS as per specification especially for ERW pipes was performed because the major concern with higher yield ratio is the resultant lower uniform elongation, lower work hardening exponent and also possible deformation under load (safety) when pipelines are used underground. A study was performed by controlling the HSM process parameters. To ensure tensile properties as per X60 grade with lower yield ratio, and good impact toughness, Finish Rolling Temperature (FRT), Coiling Temperature (CT) and Cooling Rate (CR) were varied at Hot Strip Mill in production scale. Generally, micro-alloyed steels show good strength as desired for X60 grade, along with high yield ratio up to 0.90 especially for lower thickness like 6.4mm due to thermomechanical rolling technology. The HSM process parameters for reducing yield ratio was focused on finding the effect of grain size and uniform microstructure. The results of coil form material showed that higher deformation temperature with normal CT and consistent water-cooling pattern could give optimum YS, TS with lower. YR. Comparatively, there was relatively high amount of change in YS, TS & YR with different combination of FRT, CT and CR. At customer end, after pipe making, it was found that yield ratio was lower than 0.85 with minimized YS drop due to Bauschinger effect. Interestingly, the tensile properties & yield ratio values were differing with respect to ERW pipe manufacturing methods (Cage forming & Linear forming processes). These were attributed to the differences in straining during pipe forming. The study indicated that API-X60 grade steel can be supplied with optimization of HSM process parameter to get desired yield and tensile properties as per specification with yield ratio of 0.84∼0.88 and also achieve desired yield and tensile results after ERW pipe making with yield ratio of 0.85 max.
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