Analytical modelling of the linear wear of the inside of a pipe transporting loose materials

• Autorzy: Chmielowiec A. , Homik W.

Identyfikatory

DOI

10.29354/diag/99087

Warianty tytułu

PL

Analityczne modelowanie ścieralności wnętrza rury transportującej materiały sypkie

• Języki publikacji: EN

Abstrakty

EN

This paper presents the results of an analysis of the linear wear of the inside of a pipe transporting loose materials. The aim is to present a mathematical model simulating the abrasive wear of individual elements of a transport pipe, depending on the volume of transported material. The model presented in this paper was developed based on the measurement data obtained from a dismantled transport system used in a railway handling terminal.

PL

W artykule przedstawiono wyniki analizy zużycia liniowego materiału wewnątrz rury służącej do transportu materiałów sypkich. Celem artykułu jest zaprezentowanie modelu matematycznego, który pozwala symulować zużycie poszczególnych elementów rury transportowej w zależności od ilości przesypanego materiału. Prezentowany w artykule model opracowany został w oparciu o dane pomiarowe uzyskane ze zdemontowanego systemu transportowego wykorzystywanego w kolejowym terminalu przeładunkowym.

Słowa kluczowe

EN

loose materials; linear wear; analytical model; grain flow

PL

materiał sypki; zużycie; zużycie liniowe; model analityczny; przepływ ziarna

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2018
• Tom: Vol. 19, No. 4
• Strony: 89--95
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Chmielowiec A.

• Rzeszow University of Technology

autor

Homik W.

• Rzeszow University of Technology

Bibliografia

• 1. Anand A, Curtis JS, Wassgren CR, Hancock BC, Ketterhagen WR, Predicting discharge dynamics from a rectangular hopper using the discrete element method (DEM). Chem. Eng. Sci. 2008; 63: 5821-5830.
• 2. Anshu A, et al. Predicting discharge dynamics of wet cohesive particles from a rectangular hopper using the discrete element method (DEM). Chemical Engineering Science 2009; 64(24): 5268-5275.
• 3. Beverloo WA, Leniger HA, Van de Velde J. The flow of granular solids through orifices. Chemical Engineering Science. 1961; 15: 260-269.
• 4. Brown RL, Richards JC. Profile of flow of granules through apertures. Trans. Inst. Chem. Eng. 1960; 38: 243-256.
• 5. Calderon C, Olivares M, Unac R, Vidales A. Correlations between flow rate parameters and the shape of the grains in a silo discharge. Powder Technology. 2017; 320: 43-50. https://doi.org/10.1016/j.powtec.2017.07.004
• 6. Colonnello C, Reyes LI, Clement E, Gutierrez G. Behavior of grains in contact with the wall of a silo during the initial instants of a discharge-driven collapse. Physica A. 2014; 398: 35-42. https://doi.org/10.1016/j.physa.2013.12.010
• 7. Chang CS, Converse HH, Lai FS. Flow rate of corn through orifices as affected by moisture content. Trans. of ASAE. 1984; 27(5): 1586-1589.
• 8. Chang SC, Converse HH, Flow rates of wheat and sorghum through horizontal orifices. Trans. of ASAE. 1988; 31(1): 300-304.
• 9. Glasser BJ, Goldhirsch I. Scale dependence, correlations, and fluctuations of stresses in rapid granular flows. Phys. Fluids. 2001; 13: 407-420.
• 10. Huang Z, Shuiqing L. DEM simulation of wet granular-fluid flows in spouted beds: Numerical studies and experimental verifications. Powder Technology 2017; 318: 337-349. https://doi.org/10.1016/j.powtec.2017.05.009
• 11. Kozicki J, Donze FV. Yade-open DEM: an opensource software using a discrete element method to simulate granular material. Eng. Comp. 2009; 26 (7- 8): 786-805.
• 12. Kruggel-Emden H, Wirtz S, Scherer V. A study on tangential force laws applicable to the discrete element method (DEM) for materials with viscoelastic or plastic behavior. Chem. Eng. Sci. 2008; 63:1523-1541.
• 13. Landolt D, Mischler S, Stemp M. Electrochemical methods in tribocorrosion: a critical appraisal, Electrochimica Acta 2001; 46(24-25): 3913-3929.
• 14. Lawrence J, Maier DE, Hardin J, Jones CL. Development and validation of a headspace model for a stored grain silo filled to its eave. Journal of Stored Products Research 2012; 49: 176-183. https://doi.org/10.1016/j.jspr.2012.02.002
• 15. Mankoc C, et al, The flow rate of granular materials through an orifice, Granul. Matter 2007; 9: 407-414.
• 16. Markauskas D, Ramirez-Gomez A, Kacianauskas R, Zdancevicius E. Maize grain shape approaches for DEM modelling. Computers and Electronics in Agriculture. 2015; 118: 247-258. https://doi.org/10.1016/j.compag.2015.09.004
• 17. Mischler S, Debaud S, Landolt D, Wear-accelerated corrosion of passive metals in tribocorrosion systems, Journal of the Electrochemical Society. 1998; 145(3): 750-758.
• 18. Mort P. et al. Dense granular flow - A collaborative study. Powder Technology. 2015; 284: 571-584.
• 19. Neto L, Nascimento J, Marques J, Costa C, Mechanical properties of grain in silos for simulation designs. Engenharia Agricola. 2016; 36(4): 573-580.
• 20. Oldal I, Keppler I, Csizmadia B, Fenyvesi L. Outflow properties of silos: the effect of arching. Adv. Powder Technol. 2012; 23: 290-297. https://doi.org/10.1016/j.apt.2011.03.013
• 21. Remy B, Khinast JG, Glasser BJ. Discrete element simulation of free flowing grains in a four-bladed mixer. American Institute of Chemical Engineers Journal. 2009; 55(8): 2035-2048.
• 22. Schwedes J. Influence of wall friction on silo design in process and structural engineering. German Chem. Eng. 1985; 3: 132-138.
• 23. Stachowiak A, Zwierzyniecki W. Corrosive and mechanical wear calculation the integrated conception. Problems of Corrosion and Corrosion Protection of Materials. Special Issue of Journal Physicochemical Mechanics of Materials. 2004; 4(1): 98-101.
• 24. Stachowiak A. New means for calculating sliding pairs corrosive and mechanical wear. Zagadnienia Eksploatacji Maszyn. 2007; 42: 44-51.
• 25. Tardos GI, McNamara S, Talu I. Slow and intermediate flow of a frictional bulk powder in the Couette geometry. Powder Technol. 2003; 131:23-39.
• 26. Tianqi T, Yurong H., Tong T., Dongsheng W. DEM numerical investigation of wet particle flow behaviors in multiple-spout fluidized beds. Chemical Engineering Science. 2017; 172: 79-99. https://doi.org/10.1016/j.ces.2017.06.025
• 27. Trinh T, Boltenhagen P, Delannay R, Valance A. Erosion and deposition processes in surface granular flows. Phys. Rev. E. 2017; 96(4): 042904. https://doi.org/10.1103/PhysRevE.96.042904
• 28. Widulinski L, Kozicki J, Tejchman J. Numerical Simulations of Triaxial Test with Sand Using DEM. Archives of Hydro-Engineering and Environmental Mechanics. 2009; 56(3-4): 149-171.
• 29. Zhu HP, Zhou ZY, Yang RY, Yu AB. Discrete particle simulation of particulate systems: Theoretical developments, Chemical Engineering Science. 2007; 62: 3378-3396.
• 30. Zhu HP, Zhou ZY, Yang RY, Yu AB. Discrete particle simulation of particulate systems: A review of major applications and findings, Chemical Engineering Science. 2008; 63: 5728-5770.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).