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2021 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Xuewen Wang, Bo Li, Rui Xia, Haozhou Ma

Erschienen in: Engineering Applications of Discrete Element Method

Verlag: Springer Singapore

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Abstract

Discrete element method (DEM), as a numerical simulation method for non-continuous medium, has been widely used to simulate particle flow in particle system and dust. It can effectively analyze the movement and force of particles, and extract the flow information of particles which cannot be obtained in experiments. In this chapter, the basic theory and development trend of DEM were introduced in detail, and the current calibration methods of DEM were summarized.

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Nächstes Kapitel Application of DEM in Coal and Agricultural Machinery

Cundall PA (1971) A computer model for simulating progressive largescale movements in blocky system. Muller Led Proc Symp Int Soc Rock Mechanics. Rotterdam, Netherlands: Balkama A A. 1:8–12

Cundall, P.A. (1971). The measurement and analysis of acceleration in rock slopes. Dissertation. University of London

Cundall PA (1974) Rational design of tunnel supports: A computer model for rock mass behavior using interactive graphics for the input and output of geometrical data. Tech Report MRD-2–74, Missouri River Division, US Army Corps of Engineers

Cundall PA (1977) Computer Interactive Graphics and the Distinct Element Method. Rock Engineering for Foundations and Slopes, ASCE. 2:193–199

Cundall PA, Voegele MD, Fairhurst C (1977) Computerized Design of Rock Slopes Using Interactive Graphics for the Input and Output of Geometrical Data. Design Methods in Rock Mechanics, ASCE., 1–10

Cundall PA, Marti J, Beresford PJ, Last N, Asgian M (1978) Computer modeling of jointed rock masses. Tech Report N-78–4, US Army Engineer Waterways Experiment Station, Vicksburg, Mississippi

Strack ODL, Cundall PA (1978) The distinct element method as a tool for research in granular media, Part I. University of Minnesota, Report to the National Science Foundation, Minnesota

Cundall PA, Strack ODL (1979) The distinct element method as a tool for research in granular media, Part II. University of Minnesota, Report to the National Science Foundation, Minnesota

Cundall PA, Strack ODL (1979) A discrete numerical model for granular assembles. Geotechnique 29(1):47–65CrossRef

10.

Kawai T (1977) New Element Models in Discrete Structural Analysis. J. Soc. Naval Arch. Jpn. 141:187–193

11.

Cundall, P.A. (1978). UDEC—A generalized distinct element program for modeling jointed rock. Report PCAR-1-80, Peter Cundall Associates, European Research Office, US Army

12.

Dowding CH, Belytschko TB, Yen HJ (1983) Dynamic computational analysis of opening in joint rock. J Geotech Engng. 109(12):1551–1566CrossRef

13.

Belytschko T, Plesha M, Dowding CH (1984) A computer method for the stability analysis of caverns in jointed rock. Int. J. Num. Anal. Meth. Geomech. 22(1):473–492CrossRef

14.

Dowding, C.H., &Gilbert, C. (1988). Dynamic stability of rock slopes and high frequency traveling waves. J Geotech Engng., 114(10), 1069-1 088

15.

Shi, G. (1988). Discontinuous Deformation Analysis: a New Numerical Model for the Statics and Dynamics of Block Systems. Dissertation. University of California

16.

Shi G (1992) Discontinuous deformation analysis: a new numerical model for the statics and dynamics of deformable block structures. Eng Comput 9(2):157–168MathSciNetCrossRef

17.

Gilbert, C.M. (1988). Development of a three-dimensional small displacement rigid block model for dynamic analysis. Dissertation. Northwestern University

18.

Thornton C (1991) Interparticle Sliding in the Presence of Adhesion. J Phys D Appl Phys 24:1942–1946CrossRef

19.

Thornton C, Yin KK (1991) Impact of Elastic Spheres with and without Adhesion. Powder Technol 65:153–166CrossRef

20.

Thornton C (1993) On the Relationship between the Modulus of Particulate Media and Surface Energy of the Constituent Particles. J Phys D Appl Phys 26:1587–1591CrossRef

21.

Thornton C, Ning ZA (1998) Theoretical Model for the Stick/ Bounce Behaviour of Adhesive. Elastic plastic Spheres. Powder Technol. 99:154–162CrossRef

22.

Thornton C (1991) Coefficient of Restitution for Collinear Collisions of Elastic perfectly plastic spheres. J Appl Mech 64:383–386MATHCrossRef

23.

Savkoor AR, Briggs GAD (1977) The Effect of Tangental Force on the Contact of Elastic Solids in Adhesion. Proc R Soc Lond A 356:103–114MATHCrossRef

24.

Tsuji Y, Tanaka T, Ishida T (1992) Lagrangian Numerical Simulation of Plug Flow of Cohesionless Particles in a Horizontal Pipe. Powder Technol 71(3):239–250CrossRef

25.

Tsuji Y, Kawaguchi T, Tanaka T (1993) Discrete Particle Simulation of Two-Dimensional Fluidized Bed. Powder Technol 77(1):79–87CrossRef

26.

Oda M, Konishi J, Nemat-Nasser S (1982) Experimental Micromechanical Evaluation of the Strength of Granular Materials: Effects of Particle Rolling. Mech Mater 1:269–283CrossRef

27.

Oda, M., &Iwashita, K. (1999). Mechanics of Granular Materials, An introduction. Balkema A A, Rotterdam, 147–223

28.

Oda, M., Iwashita, K., &Kakiuchi, T. (1997) Importance of Particle Rotation in the Mechanics of Franular Materials. Behringer R P, JenkinsJ T, eds. Powder & Grain 97., 207–214

29.

Oda M, Kazama H (1998) Microstructure of Shear Bands and its Relation to the Mechanisms of Dilatancy and Failure of Dense Granular Soils. Geotechnique 48:465–481CrossRef

30.

Oda M, Iwashita K (2000) Study on couple stress and shear band development in granular media based on numerical simulation analyses. Int J Eng Sci 38:1713–1740CrossRef

31.

Lu J, Zhang C, Wang G, Jin F (1996) Three-dimensional distinct element numerical model for static and dynamic analysis of rock bodies. Journal of Tsinghua University (Science and Technology) 36:98–104 (in Chinese)

32.

Lu, J. (1996). A study of numerical model of distinct element method and its application in engineering. Dissertation. Tsinghua University

33.

Hertz H (1882) On the contact of elastic solids. J Reine Angew Math. 92:156–171MathSciNetMATHCrossRef

34.

Mindlin RD, Deresiewicz H (1953) Elastic Spheres in Contact under Varying Oblique Forces. J Appl Mech 20(3):327–344MathSciNetMATHCrossRef

35.

Archard JF (1953) Contact and rubbing of flat surfaces. J Appl Phys 24:981–988CrossRef

36.

Potyondy DO, Cundall PA (2004) A bonded-particle model for rock. Int J Rock Mech Min Sci 41(8):1329–1364CrossRef

37.

Horabik J, Molenda M (2016) Parameters and contact models for DEM simulations of agricultural granular materials: A review. Biosyst Eng 147:206–225CrossRef

38.

Patwa A, Ambrose RPK, Dogan H, Casada ME (2014) Wheat Mill Stream Properties for Discrete Element Method Modeling. Trans. ASABE. 57(3):891–899

39.

Ye Y, Zeng Y (2017) A size-dependent viscoelastic normal contact model for particle collision. Int J Impact Eng 106:120–132CrossRef

40.

Coetzee CJ (2016) Calibration of the discrete element method and the effect of particle shape. Powder Technol 297:50–70CrossRef

41.

Combarros M, Feise HJ, Zetzener H, Kwade A (2014) Segregation of particulate solids: Experiments and DEM simulations. Particuology. 12:25–32CrossRef

42.

Cabiscol R, Finke JH, Kwade A (2017) Calibration and interpretation of DEM parameters for simulations of cylindrical tablets with multi-sphere approach. Powder Technol 327:232–245CrossRef

43.

Horabik J, Beczek M, Mazur R, Parafiniuk P, Ryzak M, Molenda M (2017) Determination of the restitution coefficient of seeds and coefficients of visco-elastic Hertz contact models for DEM simulations. Biosyst Eng 2017(161):106–119CrossRef

44.

Dong M, Mei Y, Li X, Shang Y, Li S (2018) Experimental measurement of the normal coefficient of restitution of micro-particles impacting on plate surface in different humidity. Powder Technol 335:250–257CrossRef

45.

Li X, Dong M, Li S, Shang Y (2019) Experimental and theoretical studies of the relationship between dry and humid normal restitution coefficients. J Aerosol Sci 129:16–27CrossRef

46.

Aryaei A, Hashemnia K, Jafarpur K (2010) Experimental and numerical study of ball size effect on restitution coefficient in low velocity impacts. Int J Impact Eng 37(10):1037–1044CrossRef

47.

Téllez-Medina DI, Byrne E, Fitzpatrick J, Catak M, Cronin K (2010) Relationship between mechanical properties and shape descriptors of granules obtained by fluidized bed wet granulation. Chem Eng J 164(2–3):425–431CrossRef

48.

Gollwitzer, F., Rehberg, I., Kruelle, C.A., &Huang K. (2012). Coefficient of restitution for wet particles. Phys. Rev. E., 86(1)

49.

Šibanc R, Kitak T, Govedarica B, Srcic S, Dreu R (2013) Physical properties of pharmaceutical pellets. Chem Eng Sci 86:50–60CrossRef

50.

Sutkar VS, Deen NG, Padding JT, Kuipers JAM, Salikov V, Cruger B, Antonyuk S, Heinrich S (2015) A novel approach to determine wet restitution coefficients through a unified correlation and energy analysis. AIChE J 61(3):769–779CrossRef

51.

Crüger B, Salikov V, Heinrich S, Antonyuk S, Sutkar VS, Deen NG, Kuipers JAM (2016) Coefficient of restitution for particles impacting on wet surfaces: An improved experimental approach. Particuology 25:1–9CrossRef

52.

Li, H. (2012). Research of Modern Design Method for Air-and Screen Cleaning Device. Dissertation. Nanjing Agricultural University

53.

Yang, J. (2012). Simulation study of particles flow on the vertical dryer based on DEM. Dissertation. Huazhong Agricultural University

54.

Zhang T, Liu F, Zhao M, Ma Q, Wang W, Fan Q, Yan P (2018) Determination of corn stalk contact parameters and calibration of Discrete Element Method simulation. J. China Agric. Univ. 23(4):120–127 (in Chinese)

55.

Grima AP, Wypych PW (2011) Development and validation of calibration methods for discrete element modelling. Granul. Matter. 13(2):127–132CrossRef

56.

Han Y, Jia F, Tang Y, Liu Y, Zhang Q (2014) Influence of granular coefficient of rolling friction on accumulation characteristics. Acta Phys. Sin. 63(17):165–171 (in Chinese)

57.

Zhou, W. (2015). The Experiment and Analysis of Paddy Field Deep Fertilizing Device Based on Discrete Element Method. Dissertation. Northeast Agricultural University

58.

Yang, E. (2015). The experimental research and DEM simulation of the granular material’s mixing uniformity in the rotary bowl. Dissertation. Xiangtan University

59.

Li Y, Xu Y, Thornton C (2005) A comparison of discrete element simulations and experiments for ‘sandpiles’ composed of spherical particles. Powder Technol 160(3):219–228CrossRef

60.

Liu, X. (2015). Study and application agricultural material mechanics. Dissertation. Shanxi Agricultural University

61.

Barrios GKP, de Carvalho RM, Kwade A, Tavares LM (2013) Contact parameter estimation for DEM simulation of iron ore pellet handling. Powder Technol 248(2):84–93CrossRef

62.

Suzzi D, Toschkoff G, Radl S, Machold D, Fraser SD, Glasser BJ, Khinast JG (2012) DEM simulation of continuous tablet coating: Effects of tablet shape and fill level on inter-tablet coating variability. Chem Eng Sci 69(1):107–121CrossRef

63.

Just S, Toschkoff G, Funke A, Djuric D, Scharrer G, Khinast J, Knop K, Kleinebudde P (2013) Experimental Analysis of Tablet Properties for Discrete Element Modeling of an Active Coating Process. AAPS PharmSciTech 14(1):402–411CrossRef

64.

Frankowski, P, &Morgeneyer, M. (2013). Calibration and Validation of DEM Rolling and Sliding Friction Coefficients in Angle of Repose and Shear Measurements. Aip powders and grains 2013: proceedings of the 7th international conference on micromechanics of granular media, 851–854

65.

Ucgul M, Fielke JM, Saunders C (2014) Three-dimensional discrete element modelling of tillage: Determination of a suitable contact model and parameters for a cohesionless soil. Biosyst Eng 121:105–117CrossRef

66.

Budinski KG (2005) An inclined plane test for the breakaway coefficient of rolling friction of rolling element bearings. Wear 259(7):1443–1447CrossRef

67.

Ketterhagen WR, Bharadwaj R, Hancock BC (2010) The coefficient of rolling resistance (CoRR) of some pharmaceutical tablets. Int J Pharm 392(1–2):107–110CrossRef

68.

Zhang, X. (2017). Study on the Drying Process and Equipment for Organic Fertilizer Pellets. Dissertation. China Agricultural University

69.

Kim DH, Gratchev I, Berends J, Balasubramaniam A (2015) Calibration of restitution coefficients using rockfall simulations based on 3D photogrammetry model: a case study. Nat Hazards 78(3):1931–1946CrossRef

70.

Grima AP, Wypych PW (2011) Investigation into calibration of discrete element model parameters for scale-up and validation of particle-structure interactions under impact conditions[J]. Powder Technol 212(1):198–209CrossRef

71.

Coetzee CJ, Els DNJ, Dymond GF (2010) Discrete element parameter calibration and the modelling of dragline bucket filling. J. Terramech. 47(1):33–44CrossRef

72.

Wang L, Li R, Wu B, Wu Z, Ding Z (2018) Determination of the coefficient of rolling friction of an irregularly shaped maize particle group using physical experiment and simulations. Particuology 38:185–195CrossRef

73.

Santos KG, Campos AVP, Oliveira OS, Ferreira LV, Francisquetti MC, Barrozo MAS (2015) Dem simulations of dynamic angle of repose of acerola residue: a parametric study using a response surface technique. Blucher Chemical Engineering Proceedings 1(2):11326–11333

74.

Wu W, Guo B, Gao Z, Zheng M, Yang H, Li D (2019) Sand modeling and parameter calibration based on DEM. Journal of Chinese Agricultural Mechanization 40(08):182–187 (in Chinese)

75.

Xiang W, Wu M, Lv J, Quan W, Ma L, Liu J (2019) Calibration of simulation physical parameters of clay loam based on soil accumulation test. Trans. Chin. Soc. Agric. Eng. 35(12):116–123 (in Chinese)

76.

Rackl M, Hanley KJ (2017) A methodical calibration procedure for discrete element models. Powder Technol 307:73–83CrossRef

77.

Zhou H, Hu Z, Chen J, Lv X, Xie N (2018) Calibration of DEM models for irregular particles based on experimental design method and bulk experiments. Powder Technol 332:210–223CrossRef

78.

Benvenuti L, Kloss C, Pirker S (2016) Identification of DEM simulation parameters by Artificial Neural Networks and bulk experiments. Powder Technol 291:456–465CrossRef

79.

Tarantola, A. (2005). Inverse Problem Theory and Methods for Model Parameter Estimation Society for Industrial and Applied Mathematics, Philadelphia

80.

Aster, R., Borchers, B., &Thurber, C.H. (2013). Parameter Estimation and Inverse Problem (Second Edition), Elsevier

81.

Do HQ, Aragón AM, Schott DL (2018) A calibration framework for discrete element model parameters using genetic algorithms. Adv Powder Technol 29:1393–1403CrossRef

Titel: Introduction
verfasst von: Xuewen Wang
Bo Li
Rui Xia
Haozhou Ma
Verlag: Springer Singapore
Buch: Engineering Applications of Discrete Element Method
Print ISBN: 978-981-15-7976-9

Electronic ISBN: 978-981-15-7977-6

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-15-7977-6_1

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