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Journal articles on the topic 'Loss Coefficients'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Azami, Rahmat. "Using nodal marginal loss coefficients for transmission loss allocation." Indian Journal of Science and Technology 5, no. 3 (March 20, 2012): 1–4. http://dx.doi.org/10.17485/ijst/2012/v5i3.16.

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2

Jethmalani, C. H. Ram, Poornima Dumpa, Sishaj P. Simon, and K. Sundareswaran. "Transmission Loss Calculation using A and B Loss Coefficients in Dynamic Economic Dispatch Problem." International Journal of Emerging Electric Power Systems 17, no. 2 (April 1, 2016): 205–16. http://dx.doi.org/10.1515/ijeeps-2015-0181.

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Abstract This paper analyzes the performance of A-loss coefficients while evaluating transmission losses in a Dynamic Economic Dispatch (DED) Problem. The performance analysis is carried out by comparing the losses computed using nominal A loss coefficients and nominal B loss coefficients in reference with load flow solution obtained by standard Newton-Raphson (NR) method. Density based clustering method based on connected regions with sufficiently high density (DBSCAN) is employed in identifying the best regions of A and B loss coefficients. Based on the results obtained through cluster analysis, a novel approach in improving the accuracy of network loss calculation is proposed. Here, based on the change in per unit load values between the load intervals, loss coefficients are updated for calculating the transmission losses. The proposed algorithm is tested and validated on IEEE 6 bus system, IEEE 14 bus, system IEEE 30 bus system and IEEE 118 bus system. All simulations are carried out using SCILAB 5.4 (www.scilab.org) which is an open source software.

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3

Mumma, Stanley A., Thomas A. Mahank, and Yu-Pei Ke. "Analytical determination of duct fitting loss-coefficients." Applied Energy 61, no. 4 (December 1998): 229–47. http://dx.doi.org/10.1016/s0306-2619(98)00041-5.

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4

Zavesky, Richard R., and Alvin S. Goodman. "WATER-SURFACE PROFILES WITHOUT ENERGY LOSS COEFFICIENTS." Journal of the American Water Resources Association 24, no. 6 (December 1988): 1281–87. http://dx.doi.org/10.1111/j.1752-1688.1988.tb03048.x.

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5

Jasinski, Joseph M. "Surface loss coefficients for the silyl radical." Journal of Physical Chemistry 97, no. 29 (July 1993): 7385–87. http://dx.doi.org/10.1021/j100131a002.

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6

Uriarte, Irati, Aitor Erkoreka, Asier Legorburu, Koldo Martin-Escudero, Catalina Giraldo-Soto, and Moises Odriozola-Maritorena. "Decoupling the heat loss coefficient of an in-use office building into its transmission and infiltration heat loss coefficients." Journal of Building Engineering 43 (November 2021): 102591. http://dx.doi.org/10.1016/j.jobe.2021.102591.

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7

Toumiya, Tatsumi, Takeshi Matsuo, and Takayuki Suzuki. "An Estimation Technique of Windmill Torque Loss Coefficients (Torque Coefficient) for Propeller Type Windmill." IEEJ Transactions on Power and Energy 111, no. 6 (1991): 661–69. http://dx.doi.org/10.1541/ieejpes1990.111.6_661.

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8

Channiwala, S. A., and N. I. Doshi. "Heat loss coefficients for box-type solar cookers." Solar Energy 42, no. 6 (1989): 495–501. http://dx.doi.org/10.1016/0038-092x(89)90050-9.

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9

Toumiya, T., T. Matsuo, and T. Suzuki. "A method of measuring windmill torque loss coefficients." Renewable Energy 1, no. 2 (January 1991): 237–41. http://dx.doi.org/10.1016/0960-1481(91)90081-y.

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10

Kim, Yong-Tae, Gyu-Won Cho, and Gyu-Tak Kim. "The Estimation Method Comparison of Iron Loss Coefficients through the Iron Loss Calculation." Journal of Electrical Engineering and Technology 8, no. 6 (November 1, 2013): 1409–14. http://dx.doi.org/10.5370/jeet.2013.8.6.1409.

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11

Wu, Guangkuan, Jianjun Feng, and Xingqi Luo. "Effects of Inlet-Loss Coefficient on Dynamic Coefficients and Stability of Multistage Pump Annular Seal." Iranian Journal of Science and Technology, Transactions of Mechanical Engineering 43, no. 4 (August 9, 2018): 719–27. http://dx.doi.org/10.1007/s40997-018-0226-1.

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12

Vaheddoost, Babak, Mir Jafar Sadegh Safari, and Rasoul Ilkhanipour Zeynali. "Discharge coefficient for vertical sluice gate under submerged condition using contraction and energy loss coefficients." Flow Measurement and Instrumentation 80 (August 2021): 102007. http://dx.doi.org/10.1016/j.flowmeasinst.2021.102007.

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13

Bassett, M. D., D. E. Winterbone, and R. J. Pearson. "Calculation of steady flow pressure loss coefficients for pipe junctions." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 215, no. 8 (August 1, 2001): 861–81. http://dx.doi.org/10.1177/095440620121500801.

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Pipe junctions are found in many engineering systems. It is often desirable to predict the pressures within such systems. Steady flow pressure loss coefficients can be defined that attempt to characterize the effects of the junction on the flow. These coefficients are usually established experimentally, but empirical and analytical expressions exist that allow some of the loss coefficients for junctions to be calculated. In the paper, simple expressions are presented that allow all of the loss coefficients for a three pipe T-junction, with any lateral branch angle or area ratio, to be calculated. The coefficients obtained using these expressions are compared with measured values. The steady flow pressure loss coefficients calculated in this way have been applied to the simulation of the propagation of a shock wave through a T-junction. Predictions of the mean pressure levels show good correlation with measurements.

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14

Jung, In Hyuk, Joo Hoon Park, Young Soo Kim, Youhwan Shin, and Jin Taek Chung. "Theoretical Analysis of Loss Coefficients Affecting Pelton Turbine Performance." Transactions of the Korean Society of Mechanical Engineers - B 42, no. 5 (May 31, 2018): 325–31. http://dx.doi.org/10.3795/ksme-b.2018.42.5.325.

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15

Booman, R. A., G. A. Olson, and Dror Sarid. "Determination of loss coefficients of long-range surface plasmons." Applied Optics 25, no. 16 (August 15, 1986): 2729. http://dx.doi.org/10.1364/ao.25.002729.

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16

Schwelb, O. "Fresnel Coefficients for Anisotropic Media with Gain or Loss." Journal of Modern Optics 34, no. 3 (March 1987): 443–53. http://dx.doi.org/10.1080/09500348714550421.

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17

Mika, Łukasz. "Loss coefficients of ice slurry in sudden pipe contractions." Archives of Thermodynamics 31, no. 3 (September 1, 2010): 73–86. http://dx.doi.org/10.2478/v10173-010-0015-8.

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Loss coefficients of ice slurry in sudden pipe contractionsIn this paper, flow systems which are commonly used in fittings elements such as contractions in ice slurry pipelines, are experimentally investigated. In the study reported in this paper, the consideration was given to the specific features of the ice slurry flow in which the flow behaviour depends mainly on the volume fraction of solid particles. The results of the experimental studies on the flow resistance, presented herein, enabled to determine the loss coefficient during the ice slurry flow through the sudden pipe contraction. The mass fraction of solid particles in the slurry ranged from 5 to 30%. The experimental studies were conducted on a few variants of the most common contractions of copper pipes: 28/22 mm, 28/18 mm, 28/15 mm, 22/18 mm, 22/15 mm and 18/15 mm. The recommended (with respect to minimal flow resistance) range of the Reynolds number (Re about 3000-4000) for the ice slurry flow through sudden contractions was presented in this paper.

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18

McKinnon, W. R., D. X. Xu, C. Storey, E. Post, A. Densmore, A. Delâge, P. Waldron, J. H. Schmid, and S. Janz. "Extracting coupling and loss coefficients from a ring resonator." Optics Express 17, no. 21 (October 6, 2009): 18971. http://dx.doi.org/10.1364/oe.17.018971.

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19

Qiu, H. B., J. Luo, and J. Zhang. "Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss." Ukrainian Mathematical Journal 67, no. 1 (June 2015): 146–53. http://dx.doi.org/10.1007/s11253-015-1069-1.

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20

Fricke, J., R. Caps, D. Büttner, U. Heinemann, E. Hümmer, and A. Kadur. "Thermal loss coefficients of monolithic and granular aerogel systems." Solar Energy Materials 16, no. 1-3 (August 1987): 267–74. http://dx.doi.org/10.1016/0165-1633(87)90026-8.

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21

Büttner, D., R. Caps, U. Heinemann, E. Hümmer, A. Kadur, and J. Fricke. "Thermal loss coefficients of low-density silica aerogel tiles." Solar Energy 40, no. 1 (1988): 13–15. http://dx.doi.org/10.1016/0038-092x(88)90066-7.

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22

Kang, Bo-Han, Yong-Tae Kim, Gyu-Won Cho, Jung-Gyu Lee, Ki-Bong Jang, and Gyu-Tak Kim. "Estimation Iron Loss Coefficients and Iron Loss Calculation of IPMSM According to Core Material." Transactions of The Korean Institute of Electrical Engineers 61, no. 9 (September 1, 2012): 1269–74. http://dx.doi.org/10.5370/kiee.2012.61.9.1269.

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23

McNeil, D. A., and A. D. Stuart. "Highly viscous liquid flow in pipeline components." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 219, no. 3 (March 1, 2005): 267–81. http://dx.doi.org/10.1243/095440605x16875.

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Water and an aqueous glycerine solution were used to obtain liquids with nominal viscosities of 1 and 550 mPa s. These fluids were used to obtain friction factors for pipe flows, discharge coefficients for orifice plates and nozzles, and loss coefficients for an abrupt enlargement, a nozzle, an orifice plate, and a globe valve in the Reynolds number range 10-200. Existing methods are shown to be adequate for the prediction of friction factors and discharge coefficients, but inadequate for the prediction of loss coefficients. Insight is given into the flow behaviour that is associated with the loss coefficients.

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24

Fulcher, Lewis P., Ronald C. Scherer, and Nicholas V. Anderson. "Entrance loss coefficients and exit coefficients for a physical model of the glottis with convergent angles." Journal of the Acoustical Society of America 136, no. 3 (September 2014): 1312–19. http://dx.doi.org/10.1121/1.4887477.

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25

Chen, Shibo, Kai Wang, and Haiyang Sun. "Iron loss prediction in high-speed permanent-magnet machines using loss model with variable coefficients." IET Electric Power Applications 14, no. 10 (October 1, 2020): 1837–45. http://dx.doi.org/10.1049/iet-epa.2020.0038.

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26

Eller, Matthias. "Loss of derivatives for hyperbolic boundary problems with constant coefficients." Discrete & Continuous Dynamical Systems - B 23, no. 3 (2018): 1347–61. http://dx.doi.org/10.3934/dcdsb.2018154.

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27

Shihab, Sylvain, and Abdelkader Benabou. "Linking the differential permeability and loss coefficients in Bertotti’s approach." Journal of Magnetism and Magnetic Materials 503 (June 2020): 166540. http://dx.doi.org/10.1016/j.jmmm.2020.166540.

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28

Ayala, Alejandro, Isabel Dominguez, Jamal Jalilian-Marian, and Maria Elena Tejeda-Yeomans. "Transport coefficients from energy loss studies in an expanding QGP." Nuclear and Particle Physics Proceedings 289-290 (August 2017): 125–28. http://dx.doi.org/10.1016/j.nuclphysbps.2017.05.025.

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29

Yung-Chung Chang, Wei-Tzen Yang, and Chun-Chang Liu. "A new method for calculating loss coefficients [of power systems]." IEEE Transactions on Power Systems 9, no. 3 (1994): 1665–71. http://dx.doi.org/10.1109/59.336090.

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30

Nikfetrat, Koorosh, Michael C. Johnson, and Zachary B. Sharp. "Computer Simulations Using Pattern Specific Loss Coefficients for Cross Junctions." Journal of Hydraulic Engineering 141, no. 9 (September 2015): 04015018. http://dx.doi.org/10.1061/(asce)hy.1943-7900.0001033.

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31

Hazarika, D., and P. K. Bordoloi. "Modified loss coefficients in the determination of optimum generation scheduling." IEE Proceedings C Generation, Transmission and Distribution 138, no. 2 (1991): 166. http://dx.doi.org/10.1049/ip-c.1991.0019.

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32

Gullbrekken, Lars, Sivert Uvsløkk, Stig Geving, and Tore Kvande. "Local loss coefficients inside air cavity of ventilated pitched roofs." Journal of Building Physics 42, no. 3 (December 1, 2017): 197–219. http://dx.doi.org/10.1177/1744259117740506.

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Pitched roofs with a ventilated air cavity to avoid snow melt and ensure dry conditions beneath the roofing are a widely used construction in northern parts of Europe and America. The purpose of this study has been to determine pressure losses at the inlet (eaves) and inside the air cavity consisting of friction losses and passing of tile battens. These results are necessary to increase the accuracy of ventilation calculations of pitched roofs. Laboratory measurements, numerical analysis as well as calculations by use of empirical expressions have been used in the study. A large difference in the local loss coefficients depending on the edge design and height of the tile batten was found. The local loss coefficients of the round-edged tile battens were approximately 40% lower than the local loss coefficients of the sharp-edged tile battens. Furthermore, the local loss factor increased by increasing height of the tile batten. The numerical analysis was found to reliably reproduce the results from the measurements.

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33

Chukarin, A. N., A. P. Sychev, and S. F. Podust. "Effective energy-loss coefficients in the vibration of rod structures." Russian Engineering Research 35, no. 10 (October 2015): 737–39. http://dx.doi.org/10.3103/s1068798x15100081.

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34

Kulkarni, D., and Stephen Idem. "Loss coefficients of bends in fully stretched nonmetallic flexible ducts." Science and Technology for the Built Environment 21, no. 4 (January 26, 2015): 413–19. http://dx.doi.org/10.1080/23744731.2014.1000796.

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35

Chaturvedi, Anoop, and Shalabh. "Bayesian Estimation of Regression Coefficients Under Extended Balanced Loss Function." Communications in Statistics - Theory and Methods 43, no. 20 (September 30, 2014): 4253–64. http://dx.doi.org/10.1080/03610926.2012.725498.

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36

Zhan, Jinlong, and Chen Jianbao. "Admissibility of linear estimators of regression coefficients under quadratic loss." Acta Mathematicae Applicatae Sinica 8, no. 3 (July 1992): 237–44. http://dx.doi.org/10.1007/bf02014581.

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37

van der Poorten, A. J., and I. E. Shparlinski. "On linear recurrence sequences with polynomial coefficients." Glasgow Mathematical Journal 38, no. 2 (May 1996): 147–55. http://dx.doi.org/10.1017/s0017089500031372.

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We consider sequences (Ah)defined over the field ℚ of rational numbers and satisfying a linear homogeneous recurrence relationwith polynomial coefficients sj;. We shall assume without loss of generality, as we may, that the sj, are defined over ℤ and the initial values A0A]…, An−1 are integer numbers. Also, without loss of generality we may assume that S0 and Sn have no non-negative integer zero. Indeed, any other case can be reduced to this one by making a shift h → h – l – 1 where l is an upper bound for zeros of the corresponding polynomials (and which can be effectively estimated in terms of their heights)

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38

Celik, Sebahattin, Ayesha Sohail, Fatima Arif, and Abdülselam Özdemir. "BENCHMARKING COEFFICIENTS FOR FORECASTING WEIGHT LOSS AFTER SLEEVE GASTRECTOMY BIOMEDICAL ENGINEERING." Biomedical Engineering: Applications, Basis and Communications 32, no. 01 (February 2020): 2050004. http://dx.doi.org/10.4015/s1016237220500040.

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Background/Aim: In treatment practice of obesity, losing excess weight and then maintaining an ideal body weight are very important. By the sleeve gastrectomy initial weight loss is easier, but the progress of patients have diverse variability in terms of maintaining weight loss. Predicting models for weight changes may provide doctors and patients a good tool to modify their approach to obesity treatment.The main objective of this research is to verify the dependence of weight loss on sleeve coefficients and to forecast the weight loss. The weight loss and its dependence on remnant gastric volume compartmants (antral and body parts), after laparoscopic sleeve gastrectomy (LSG) is discussed in this paper. Data was obtained from a previous study which included 63 patients. Deep analysis of weight loss after LSG and its relation with remnant gastric volume is still a challenge due to weight loss dependence on multiple factors. During this research, with the aid of machine learning regression classifier, the relationship(s) between the sleeve coefficients’ formulae and weight loss formulae (%EWL and %TWL), are developed in a novel way. Other factors such as age and gender are also taken into account. A robust approach of artificial intelligence, i.e. the “Neural Network Bayesian Regularization” is adopted to utilize the third month, sixth month and first year weight loss data, to forecast the second year weight loss. Models are proposed to demonstrate the dependance of total weight loss on crucial parameters of components of remanat gastric volumes. A comparative study is conducted for the appropriate selection of artificial intelligence training algorithm.

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39

Lu, Xiao-lu, Kun Zhang, Wen-hui Wang, Shao-ming Wang, and Kang-yao Deng. "Preliminary Experimental Study on Pressure Loss Coefficients of Exhaust Manifold Junction." International Journal of Rotating Machinery 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/316498.

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The flow characteristic of exhaust system has an important impact on inlet boundary of the turbine. In this paper, high speed flow in a diesel exhaust manifold junction was tested and simulated. The pressure loss coefficient of the junction flow was analyzed. The steady experimental results indicated that both of static pressure loss coefficientsL13andL23first increased and then decreased with the increase of mass flow ratio of lateral branch and public manifold. The total pressure loss coefficientK13always increased with the increase of mass flow ratio of junctions 1 and 3. The total pressure loss coefficientK23first increased and then decreased with the increase of mass flow ratio of junctions 2 and 3. These pressure loss coefficients of the exhaust pipe junctions can be used in exhaust flow and turbine inlet boundary conditions analysis. In addition, simulating calculation was conducted to analyze the effect of branch angle on total pressure loss coefficient. According to the calculation results, total pressure loss coefficient was almost the same at low mass flow rate of branch manifold 1 but increased with lateral branch angle at high mass flow rate of branch manifold 1.

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40

Schobeiri, M. T. "Advanced Compressor Loss Correlations, Part II: Experimental Verifications." International Journal of Rotating Machinery 3, no. 3 (1997): 179–87. http://dx.doi.org/10.1155/s1023621x97000171.

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Reliable efficiency calculation of high-subsonic and transonic compressor stages requires a detailed and accurate prediction of the flow field within these stages. Despite the tremendous progress in turbomachinery computational fluid mechanics, the compressor designer still uses different loss correlations to estimate the total pressure losses and thus the efficiency of the compressor stage. The new shock loss model and the modified diffusion factor, developed in Part I, were implemented into a loss calculation procedure. In this part, correlations for total pressure loss, profile loss, and secondary loss coefficients are presented, using the available experimental data. Based on the profile loss coefficients, correlations were also established for boundary layer momentum thickness. These correlations allow the compressor designer to accurately estimate the blade losses and therefore the stage efficiency.

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41

Senave, Marieline, Glenn Reynders, Peder Bacher, Staf Roels, Stijn Verbeke, and Dirk Saelens. "Towards the characterization of the heat loss coefficient via on-board monitoring: Physical interpretation of ARX model coefficients." Energy and Buildings 195 (July 2019): 180–94. http://dx.doi.org/10.1016/j.enbuild.2019.05.001.

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42

Pal, R., and C. Y. J. Hwang. "Loss Coefficients for Flow of Surfactant-Stabilized Emulsions Through Pipe Components." Chemical Engineering Research and Design 77, no. 8 (November 1999): 685–91. http://dx.doi.org/10.1205/026387699526818.

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43

MacVicar, Bruce. "Local Head Loss Coefficients of Riffle Pools in Gravel-Bed Rivers." Journal of Hydraulic Engineering 139, no. 11 (November 2013): 1193–98. http://dx.doi.org/10.1061/(asce)hy.1943-7900.0000787.

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44

Singh, Harmeet, J. W. Coburn, and David B. Graves. "Surface loss coefficients of CFx and F radicals on stainless steel." Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films 18, no. 6 (November 2000): 2680–84. http://dx.doi.org/10.1116/1.1308585.

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45

Wakeland, Ray Scott, and Robert M. Keolian. "Minor-loss coefficients for the exit from heat exchangers in thermoacoustics." Journal of the Acoustical Society of America 111, no. 5 (2002): 2419. http://dx.doi.org/10.1121/1.4809174.

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46

Koch, P. "Comparisons and choice of pressure loss coefficients, Ζ for ductwork components." Building Services Engineering Research and Technology 22, no. 3 (August 2001): 167–83. http://dx.doi.org/10.1191/014362401701524208.

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47

Gyasi-Agyei, Yeboah. "A Bayesian approach for identifying drip emitter insertion head loss coefficients." Biosystems Engineering 116, no. 1 (September 2013): 75–87. http://dx.doi.org/10.1016/j.biosystemseng.2013.06.013.

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48

Yan, B. H., and H. Y. Gu. "Effect of rolling motion on the expansion and contraction loss coefficients." Annals of Nuclear Energy 53 (March 2013): 259–66. http://dx.doi.org/10.1016/j.anucene.2012.09.019.

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49

Mika, Ł. "Pressure loss coefficients of ice slurry in horizontally installed flow dividers." Experimental Thermal and Fluid Science 45 (February 2013): 249–58. http://dx.doi.org/10.1016/j.expthermflusci.2012.11.017.

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50

Mahmood, G. I., and S. Acharya. "Experimental Investigation of Secondary Flow Structure in a Blade Passage With and Without Leading Edge Fillets." Journal of Fluids Engineering 129, no. 3 (June 8, 2006): 253–62. http://dx.doi.org/10.1115/1.2427075.

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Velocity and pressure measurements are presented for a blade passage with and without leading edge contouring in a low speed linear cascade. The contouring is achieved through fillets placed at the junction of the leading edge and the endwall. Two fillet shapes, one with a linear streamwise cross-section (fillet 1) and the other with a parabolic cross-section (fillet 2), are examined. Measurements are taken at a constant Reynolds number of 233,000 based on the blade chord and the inlet velocity. Data presented at different axial planes include the pressure loss coefficient, axial vorticity, velocity vectors, and yaw and pitch angles. In the early stages of the development of the secondary flows, the fillets are seen to reduce the size and strength of the suction-side leg of the horseshoe vortex with associated reductions in the pressure loss coefficients and pitch angles. Further downstream, the total pressure loss coefficients and vorticity show that the fillets lift the passage vortex higher above the endwall and move it closer to the suction side in the passage. Near the trailing edge of the passage, the size and strength of the passage vortex is smaller with the fillets, and the corresponding reductions in pressure loss coefficients extend beyond the mid-span of the blade. While both fillets reduce pressure loss coefficients and vorticity, fillet 1 (linear fillet profile) appears to exhibit greater reductions in pressure loss coefficients and pitch angles.

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