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Journal articles on the topic 'Paper machine'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 May 2022

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1

Ishiguro, Kyuzabro. "Paper machine." JAPAN TAPPI JOURNAL 41, no. 10 (1987): 908–14. http://dx.doi.org/10.2524/jtappij.41.908.

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2

Skelton, John. "Paper Machine Clothing." Journal of The Textile Institute 89, no. 4 (January 1998): 715–17. http://dx.doi.org/10.1080/00405000.1998.11090913.

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3

N. N. JADEJA, N. N. JADEJA, M. C. Baraiya M.C.Baraiya, A. B. Jasoliya A.B.Jasoliya, R. U. Jagad R.U.Jagad, and V. R. Makwana V.R.Makwana. "Research Paper of Manually Operated Pipe Bending Machine." Paripex - Indian Journal Of Research 3, no. 5 (January 15, 2012): 66–67. http://dx.doi.org/10.15373/22501991/may2014/23.

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4

R, Ashokkumar, Barathan S, Suresh R, Sivapriya S, and Kavinkumar N. "Design and Fabrication of Paper Counting Machine." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 97–106. http://dx.doi.org/10.22214/ijraset.2022.41169.

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Abstract: For counting of papers in academic institutions and industries, there are no feasible machines available. The design is mainly focused on cost effectiveness and for light to medium usages. The machine is constructed by using rollers, battery, DC motor, LED display, Arduino and IR sensor. In this machine initially we need to keep bunch of papers in the paper feeding tray, then the Arduino is reset. The LED displays the number of papers counted. The machine works based on IR sensor & colour detection. The machine is designed for counting the standard A4 size paper. The roller helps in separating each sheet from a bunch of sheets. Keywords: Arduino, Colour detection, IR sensor, Paper counting
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5

Golemanov, L. A., and V. S. Valtchev. "Paper Machine Digital Control." IFAC Proceedings Volumes 20, no. 13 (October 1987): 135–39. http://dx.doi.org/10.1016/s1474-6670(17)55577-9.

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6

Koss, Mike. "THE PAPER ENIGMA MACHINE." Cryptologia 28, no. 3 (July 2004): 204–10. http://dx.doi.org/10.1080/0161-110491892881.

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7

Rippon, Lee D., Qiugang Lu, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, and Johan U. Backström. "Machine Direction Adaptive Control on a Paper Machine." Industrial & Engineering Chemistry Research 58, no. 26 (April 25, 2019): 11452–73. http://dx.doi.org/10.1021/acs.iecr.8b06067.

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8

Shi, Dawei, Jiadong Wang, Michael Forbes, Johan Backström, and Tongwen Chen. "Robust Tuning of Machine Directional Predictive Control of Paper Machines." Industrial & Engineering Chemistry Research 54, no. 15 (April 7, 2015): 3904–18. http://dx.doi.org/10.1021/ie5050583.

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9

Zhang, Huanhuan, Jigeng Li, and Mengna Hong. "Machine Learning-Based Energy System Model for Tissue Paper Machines." Processes 9, no. 4 (April 9, 2021): 655. http://dx.doi.org/10.3390/pr9040655.

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With the global energy crisis and environmental pollution intensifying, tissue papermaking enterprises urgently need to save energy. The energy consumption model is essential for the energy saving of tissue paper machines. The energy consumption of tissue paper machine is very complicated, and the workload and difficulty of using the mechanism model to establish the energy consumption model of tissue paper machine are very large. Therefore, this article aims to build an empirical energy consumption model for tissue paper machines. The energy consumption of this model includes electricity consumption and steam consumption. Since the process parameters have a great influence on the energy consumption of the tissue paper machines, this study uses three methods: linear regression, artificial neural network and extreme gradient boosting tree to establish the relationship between process parameters and power consumption, and process parameters and steam consumption. Then, the best power consumption model and the best steam consumption model are selected from the models established by linear regression, artificial neural network and the extreme gradient boosting tree. Further, they are combined into the energy consumption model of the tissue paper machine. Finally, the models established by the three methods are evaluated. The experimental results show that using the empirical model for tissue paper machine energy consumption modeling is feasible. The result also indicates that the power consumption model and steam consumption model established by the extreme gradient boosting tree are better than the models established by linear regression and artificial neural network. The experimental results show that the power consumption model and steam consumption model established by the extreme gradient boosting tree are better than the models established by linear regression and artificial neural network. The mean absolute percentage error of the electricity consumption model and the steam consumption model built by the extreme gradient boosting tree is approximately 2.72 and 1.87, respectively. The root mean square errors of these two models are about 4.74 and 0.03, respectively. The result also indicates that using the empirical model for tissue paper machine energy consumption modeling is feasible, and the extreme gradient boosting tree is an efficient method for modeling energy consumption of tissue paper machines.
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10

S., Muthulakshmi. "Survey Paper on Fraud Detection in Medicare Using Machine Learning." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 4170–74. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020130.

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11

Masuda, Koji. "Air Systems for Paper Machine." JAPAN TAPPI JOURNAL 54, no. 11 (2000): 1493–99. http://dx.doi.org/10.2524/jtappij.54.1493.

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12

Kasparov, Garry, and Frederic Friedel. "Reconstructing Turing’s “paper machine”1." ICGA Journal 40, no. 2 (February 7, 2019): 105–12. http://dx.doi.org/10.3233/icg-180044.

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13

Connelly, John T., Jason P. Rolland, and George M. Whitesides. "“Paper Machine” for Molecular Diagnostics." Analytical Chemistry 87, no. 15 (July 13, 2015): 7595–601. http://dx.doi.org/10.1021/acs.analchem.5b00411.

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14

Hehner, Reinhard. "Sound dampened paper-winding machine." Journal of the Acoustical Society of America 100, no. 6 (1996): 3485. http://dx.doi.org/10.1121/1.417300.

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15

Jignesh Patel et al.,, Jignesh Patel et al ,. "Automatic Paper Pot Transplanting Machine." International Journal of Mechanical and Production Engineering Research and Development 10, no. 3 (2020): 6085–90. http://dx.doi.org/10.24247/ijmperdjun2020576.

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16

Zhang, Xin Ju, and Xiu Hong Ma. "Design of Control System in Strapping Machine for Paper Bills." Advanced Materials Research 791-793 (September 2013): 603–6. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.603.

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The strapping machine for Paper Bills typically was designed to reduce labor intensity and enhance production automation level. The machines structure and working principle were described. There are three work posts in this equipment, they work continuously. This approach makes it very easy to split up a complex transformation into a series of simple transformations arranged in a loop line. The machine includes currency count/counterfeit distinguishing system, conveying system and strapping system. In the same time, the machine control system that adopts the PLC programmable controller can simplify the control system, and its reliability strengthens further. Practices show that the strapping machine has the advantages of simple structure, high efficiency, low cost and small vibrating noise.
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17

Tung, Tran, Luong Ngoc, Nguyen Quynh, and Tran Minh. "DESIGN AND ANALYSIS OF A PAPER SHREDDER MACHINE." Acta Tecnología 7, no. 3 (September 30, 2021): 93–97. http://dx.doi.org/10.22306/atec.v7i3.117.

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A paper shredder machine is a device that can shred documents such as paper and plastic into small strips or shreds. Private companies use it to shred confidential private documents or other sensitive documents into small strips or rubble. Thus, these machines help secure information effectively and waste to the environment. The article offers an alternative to the design and calculation of a shredder model. In addition, the options for optimizing the cutting blade and evaluating the strength of machine parts are also discussed to ensure the reasonable of the model. The analysis results are carried out with CATIA software. The results can serve as a prerequisite for an optimal model of the shredder that will go into series production in the future.
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18

Matsumoto, Kouji. "Dewatering Machine for Paper and Pulp." JAPAN TAPPI JOURNAL 57, no. 11 (2003): 1630–35. http://dx.doi.org/10.2524/jtappij.57.1630.

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19

Tagashira, Hiroaki. "Progress of OptiConcept Paper Making Machine." JAPAN TAPPI JOURNAL 59, no. 2 (2005): 201–8. http://dx.doi.org/10.2524/jtappij.59.201.

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20

Miura, Hiroshi. "SENSODEC-10 Paper Machine Efficiency System." JAPAN TAPPI JOURNAL 45, no. 8 (1991): 875–80. http://dx.doi.org/10.2524/jtappij.45.875.

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21

Ohkuma, Koji. "Operating Experience of YN Paper Machine." JAPAN TAPPI JOURNAL 46, no. 1 (1992): 35–41. http://dx.doi.org/10.2524/jtappij.46.35.

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22

Hiromatsu, Nobutaka. "Operating Experience of N1 Paper Machine." JAPAN TAPPI JOURNAL 47, no. 7 (1993): 856–61. http://dx.doi.org/10.2524/jtappij.47.856.

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23

Fujisaki, Natuo. "Operating Experience of N5 Paper Machine." JAPAN TAPPI JOURNAL 50, no. 1 (1996): 78–82. http://dx.doi.org/10.2524/jtappij.50.78.

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24

Sun, You-Xian, Qing-Guo Wan, Yi-Qun Ying, and Chun-Hui Zhou. "Dynamics and Control of Paper Machine." IFAC Proceedings Volumes 18, no. 9 (August 1985): 117–23. http://dx.doi.org/10.1016/s1474-6670(17)60270-2.

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25

Toivanen, Jari, Jari P. Hämäläinen, Kaisa Miettinen, and Pasi Tarvainen. "Designing Paper Machine Headbox Using GA." Materials and Manufacturing Processes 18, no. 3 (January 8, 2003): 533–41. http://dx.doi.org/10.1081/amp-120022027.

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26

Fonselius, Jaakko. "COMMUNICATION NETWORKS BETWEEN PAPER MACHINE SPECIALISTS." IFAC Proceedings Volumes 39, no. 14 (2006): 179–84. http://dx.doi.org/10.3182/20060830-2-sf-4903.00032.

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27

H�m�l�inen, J., R. A. E. M�kinen, and P. Tarvainen. "Optimal design of paper machine headboxes." International Journal for Numerical Methods in Fluids 34, no. 8 (2000): 685–700. http://dx.doi.org/10.1002/1097-0363(20001230)34:8<685::aid-fld75>3.0.co;2-o.

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28

Sakurai, Hidekatsu. "Energy Saving Solution for Paper Machine." JAPAN TAPPI JOURNAL 67, no. 7 (2013): 732–40. http://dx.doi.org/10.2524/jtappij.67.732.

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29

Heard, Reiner. "FIT Position Paper on Machine Translation." Babel. Revue internationale de la traduction / International Journal of Translation 63, no. 1 (June 29, 2017): 130–35. http://dx.doi.org/10.1075/babel.63.1.09hea.

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30

Schulgasser, Kalman. "Fibre orientation in machine-made paper." Journal of Materials Science 20, no. 3 (March 1985): 859–66. http://dx.doi.org/10.1007/bf00585727.

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31

Sandberg, Mats, Karl Håkansson, and Hjalmar Granberg. "Paper machine manufactured photocatalysts - Lateral variations." Journal of Environmental Chemical Engineering 8, no. 5 (October 2020): 104075. http://dx.doi.org/10.1016/j.jece.2020.104075.

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32

Whidborne, J. F., I. Postlethwaite, and D. W. Gu. "Robust control of a paper machine." Control Engineering Practice 3, no. 10 (October 1995): 1475–78. http://dx.doi.org/10.1016/0967-0661(95)00153-l.

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33

Nam, Teckjin, Sukte Lee, Sangtaek Geum, Jongkyu Kim, and Sekwang Park. "Paper No P11: BLU Inspection Machine." SID Symposium Digest of Technical Papers 44 (September 2013): 41–45. http://dx.doi.org/10.1002/sdtp.40.

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34

Gopaluni, R. B., M. S. Davies, P. D. Loewen, G. E. Stewart, and G. A. Dumont. "A note on separating machine direction and cross machine data on a paper machine." Nordic Pulp & Paper Research Journal 24, no. 3 (August 1, 2009): 273–77. http://dx.doi.org/10.3183/npprj-2009-24-03-p273-277.

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35

SYROPOULOS, APOSTOLOS. "HYPERCOMPUTATION: FANTASY OR REALITY? A POSITION PAPER." Parallel Processing Letters 23, no. 01 (March 2013): 1350005. http://dx.doi.org/10.1142/s0129626413500059.

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Hypercomputation is about the feasibility of machines and systems that are either more expressive or computationally more powerful than the Turing machine. A number of researchers and thinkers have put forth a number of supposedly knock-out arguments against hypercomputation. Nevertheless, these arguments are not unwavering as they seem to be and here I explain why.
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36

Baki, H., H. Wang, M. T. Söylemez, and N. Munro. "Implementing machine-directional basis weight control for a pilot paper machine." Control Engineering Practice 9, no. 6 (June 2001): 621–30. http://dx.doi.org/10.1016/s0967-0661(01)00025-9.

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37

Sandberg, Mats, Daniel Tordera, Hjalmar Granberg, Anurak Sawatdee, Dina Dedic, Magnus Berggren, and Magnus P. Jonsson. "Photoconductive zinc oxide-composite paper by pilot paper machine manufacturing." Flexible and Printed Electronics 1, no. 4 (December 1, 2016): 044003. http://dx.doi.org/10.1088/2058-8585/1/4/044003.

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38

Kalai, D. M. "Low Cost Automated Paper Bag Making Machine." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 3556–62. http://dx.doi.org/10.22214/ijraset.2019.4596.

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39

Makino, Tetsuo. "Operating Experience of Mitsubishi Pilot Paper Machine." JAPAN TAPPI JOURNAL 54, no. 4 (2000): 445–50. http://dx.doi.org/10.2524/jtappij.54.445.

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40

Ide, Masahiro. "Dewatering machine for paper pulp. ROTARY PRESS." JAPAN TAPPI JOURNAL 56, no. 8 (2002): 1165–68. http://dx.doi.org/10.2524/jtappij.56.1165.

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41

Garner, A. "Thiosulfate Corrosion in Paper-Machine White Water." Corrosion 41, no. 10 (October 1, 1985): 587–91. http://dx.doi.org/10.5006/1.3582988.

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Abstract Potentiostatic, potentiodynamic, and immersion tests were conducted on a range of alloys used in paper-machine service. It was found that thiosulfate contamination of white water can cause pitting in AISI 304 and CA-15 stainless steels (SS), and, by comparison, salts such as NaCl, Na2SO, and Al2(SO4)3 are much less corrosive. For sensitized AISI 304, thiosulfate levels in the range of 3 to 75 ppm cause pitting, 5 to 20 ppm S2O3= being particularly aggressive. Thiosulfate pitting occurred in the absence of chlorides when sulfate was present at SO4=:S2O3= molar ratios from 1.6 to 58. Compared to AISI 304, significantly greater resistance to thiosulfate pitting was found in AISI 316 and 317 L, Ferralium 255, and cast duplex SS, KCR-A171 and Alloy 75.
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42

Yamada, Akira. "Technical trend of paper-machine drive system." JAPAN TAPPI JOURNAL 45, no. 2 (1991): 263–68. http://dx.doi.org/10.2524/jtappij.45.263.

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43

Kärnä, Anssi. "Printing paper machine for the 90's." JAPAN TAPPI JOURNAL 45, no. 1 (1991): 92–102. http://dx.doi.org/10.2524/jtappij.45.92.

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44

Mykkänen, Juha. "Advanced Profile Control Systems for Paper Machine." JAPAN TAPPI JOURNAL 47, no. 11 (1993): 1323–29. http://dx.doi.org/10.2524/jtappij.47.1323.

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45

Uozumi, Masami. "Operating Experience of No.8 Paper Machine." JAPAN TAPPI JOURNAL 47, no. 5 (1993): 583–88. http://dx.doi.org/10.2524/jtappij.47.583.

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46

Kawaguchi, Yasushi. "Operating Experience of No. 4 Paper Machine." JAPAN TAPPI JOURNAL 48, no. 1 (1994): 36–41. http://dx.doi.org/10.2524/jtappij.48.36.

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47

Mori, Ryoichi. "New Moisture Control Method for Paper Machine." JAPAN TAPPI JOURNAL 50, no. 1 (1996): 120–24. http://dx.doi.org/10.2524/jtappij.50.120.

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48

Raut, Mr Ankit B. "Design and Fabrication of Paper Shredder Machine." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 485–92. http://dx.doi.org/10.22214/ijraset.2018.4084.

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49

Mendes, Afonso H. T., Song W. Park, Paulo J. T. Ferreira, and Fabio S. Almeida. "Hygroexpansivity profiles on a commercial paper machine." Nordic Pulp & Paper Research Journal 26, no. 3 (August 1, 2011): 312–18. http://dx.doi.org/10.3183/npprj-2011-26-03-p312-318.

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50

Bissessur, Y., E. B. Martin, and A. J. Morris. "Machine condition monitoring for consistent paper production." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 213, no. 3 (August 1999): 141–51. http://dx.doi.org/10.1243/0954408991529898.

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