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DEM study on threshing performance of “compression–oscillation” thresher

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Abstract

Threshing of wheat is a fundamental post-harvest operation to isolate grains from straw, leading to further processing and storage. This study introduces a promising and power-efficient technology named as “Compression–Oscillation” threshing, which relies on cyclic frictional squeezing rather than beating as in conventional threshers. Discrete element method simulation was used to model the physical characteristics of wheat spikes and grains as well as interaction properties such as bonding, coefficient of restitution, static and rolling friction. Concave clearance and rotor drum speed sensitivity were studied in terms of compressive force and threshing performance in the system. The achieved threshing efficiency is 98.0% at rotor drum speed of 350 rpm at concave clearance of 4.5 mm and throughput of 6 tons per hour. Results indicate that this technology could supersede the existing beater technology. Determination of wheat grain detachment strength, role of oscillation on the wheat grain bonding strength and development of full-scale commercial machine are suggested as future work.

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Abbreviations

C c :

Concave clearance, mm

f cv :

Concave oscillation frequency, Hz

A cv :

Concave oscillation amplitude

Β :

Damping ratio

C n :

Normal damping coefficient

C t :

Tangential damping coefficient

E :

Young modulus, MPa

E :

Coefficient of restitution

e p :

Coefficient of particle–particle restitution

e d :

Coefficient of particle–drum restitution

F c :

Compressive force, N

F dn :

Normal damping forces, N

F dt :

Tangential damping forces, N

F n :

Normal force, N

P t :

Threshing power, KW

F s :

Friction force, N

F t :

Force tangential to surface, N

G :

Shear modulus, MPa

M c :

Moisture content, %

N :

Number of cycles to failure of wheat grain bond

K H :

Hertz constant

m i :

Unit mass of wheat spike, g

S e :

Endurance limit of wheat grain bond, MPa

S n :

Normal stiffness of the wheat grain bond, MPa

F crush :

Crushing threshold (N)

d s :

Grain to straw bond diameter (mm)

R B :

Radius of the glue

v n :

Normal velocity of particles, m/s

vt:

Normal velocity of particles, m/s

ρ s :

Solid density, kg/m3

R :

Radii of curvature on the contact point, m

δ :

Particle overlap, m

T :

Total time duration of simulation, s

t s :

Time step of simulation, s

τ :

Rotor drum torque, N-m

ν:

Poisson’s ratio

v :

Linear velocity of the particle

µ r :

Coefficient of rolling friction

µ rf :

Coefficient of particle–particle rolling friction

µ rd :

Coefficient of particle–wall rolling friction

µ s :

Coefficient of static friction

µ sp :

Coefficient of particle–particle static friction

µ sd :

Coefficient of particle–wall static friction

v n,rel :

Relative normal velocity, m/s

v t,rel :

Relative tangential velocity, m/s

N R :

Threshing drum speed (rpm)

J :

Polar moment of inertia

S t :

Shear stiffness of the grain bond, MPa

F det :

Detachment threshold force (N)

Q :

Thresher capacity (tons/hour)

A s :

Area of the grain–straw bond (mm2

References

  1. Huang J, Ridoutt BG, Thorp KR et al (2019) Water-scarcity footprints and water productivities indicate unsustainable wheat production in China. Agric Water Manag. https://doi.org/10.1016/j.agwat.2019.105744

    Article  Google Scholar 

  2. Philipp N, Weichert H, Bohra U, Weschke W, Schulthess AW, Weber H (2018) Grain number and grain yield distribution along the spike remain stable despite breeding for high yield in winter wheat. PLoS ONE. https://doi.org/10.1371/journal.pone.0205452

    Article  Google Scholar 

  3. Curtis T, Halford NG (2014) Food security: the challenge of increasing wheat yield and the importance of not compromising food safety. Ann Appl Biol. https://doi.org/10.1111/aab.12108

    Article  Google Scholar 

  4. Ray DK, Ramankutty N, Mueller ND, West PC, Foley JA (2012) Recent patterns of crop yield growth and stagnation. Nat Commun. https://doi.org/10.1038/ncomms2296

    Article  Google Scholar 

  5. Buchspies B, Kaltschmitt M, Junginger M (2020) Straw utilization for biofuel production: A consequential assessment of greenhouse gas emissions from bioethanol and biomethane provision with a focus on the time dependency of emissions. GCB Bioenergy. https://doi.org/10.1111/gcbb.12734

    Article  Google Scholar 

  6. Du M, Noguchi N (2017) Monitoring of wheat growth status and mapping of wheat yield’s within-field spatial variations using color images acquired from UAV-camera System. Remote Sens. https://doi.org/10.3390/rs9030289

    Article  Google Scholar 

  7. Lin M, Zhang D, Liu S, Zhang G, Yu J, Fritz AK, Bai G (2016) Genome-wide association analysis on pre-harvest sprouting resistance and grain color in U.S. winter wheat. BMC Genom. https://doi.org/10.1186/s12864-016-3148-6

    Article  Google Scholar 

  8. Lei X, Liao Y, Liao Q (2016) Simulation of seed motion in seed feeding device with DEM-CFD coupling approach for rapeseed and wheat. Comput Electron Agric 131:29–39

    Article  Google Scholar 

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

    Article  Google Scholar 

  10. Ahmad SA, Iqbal M, Shafi A (2017) Redevelopment and economic analysis of a beater wheat thresher. NFC IEFR J Eng Sci Res 2

  11. Sattar M, Ali M, Ali L, Waqar MQ, Ali MA, Khalid L (2015) Grain losses of wheat as affected by different harvesting and threshing techniques. Int J Res Agric For 2:20–26

    Google Scholar 

  12. Osueke CO (2011) Frictional impact modeling of a cereal thresher. Am J Eng Applied Sci. https://doi.org/10.3844/ajeassp.2011.405.412

    Article  Google Scholar 

  13. Masek J, Kumhala F, Novak P, Fic T (2016) Influence of different threshing system design on grain damage. Eng Rural Dev 2016:756–761

    Google Scholar 

  14. Fu J, Chen Z, Han LJ, Ren LQ (2018) Review of grain threshing theory and technology. Int J Agric Biol Eng 11:12–20

    Google Scholar 

  15. Osueke ECO (2011) Application of frictional modeling in simulation and optimization of the design and performance of a cereal thresher. Int J Sci Eng Res 2:1–15

    Google Scholar 

  16. Ahmad SA, Iqbal M, Ahmad M, Tanveer A, Sial JK (2013) Design improvement of indigenous beater wheat thresher in Pakistan. Pakistan J Agric Sci 50:711–721

    Google Scholar 

  17. El-Sheikha MA, El-Morsy HE, Al-Rajhi MAI (2010) Some physical and mechanical properties of wheat grain. J Soil Sci Agric Eng 1(3):299–309

    Google Scholar 

  18. Morris CF, Pitts MJ, Bettge AD, Pecka K, King GE, McCluskey PJ (2008) Compressive strength of wheat endosperm: analysis of endosperm bricks. Cereal Chem 85:351–358

    Article  Google Scholar 

  19. Shahbazi F, Saffar A, Analooei M (2011) Mechanical damage to pinto beans as affected by moisture content and impact energy. Agric Eng Int CIGR J

  20. Savickas D, Steponavičius D, Kliopova I, Saldukaitė L (2020) Combine harvester fuel consumption and air pollution reduction. Water Air Soil Pollut. https://doi.org/10.1007/s11270-020-4466-5

    Article  Google Scholar 

  21. Sial JK, Abbas MA, Sarghana MA (1991) environmental pollution in the rural sector. Pakistan J Agric Sci 28:260–263

    Google Scholar 

  22. Romuli S, Karaj S, Müller J (2017) Discrete element method simulation of the hulling process of Jatropha curcas L. fruits. Biosyst Eng 155:55–67

    Article  Google Scholar 

  23. Karaj S, Müller J (2011) Optimizing mechanical oil extraction of Jatropha curcas L. seeds with respect to press capacity, oil recovery and energy efficiency. Ind Crops Prod. https://doi.org/10.1016/j.indcrop.2011.03.009

    Article  Google Scholar 

  24. Boac JM, Casada ME, Maghirang RG, Harner JP (2010) Material and interaction properties of selected grains and oilseeds for modeling discrete particles. Trans ASABE 53:1201–1216

    Article  Google Scholar 

  25. Raji AO, Favier JF (2004) Model for the deformation in agricultural and food particulate materials under bulk compressive loading using discrete element method. I: theory, model development and validation. J Food Eng 64:359–371

    Article  Google Scholar 

  26. Boac J, Ambrose R, Casada M, Maghirang R, Maier D (2014) Applications of discrete element method in modeling of grain postharvest operations. Food Eng Rev 6:128–149

    Article  Google Scholar 

  27. Delaney G, Morrison R, Sinnott M, Cummins S, Cleary P (2015) DEM modelling of non-spherical particle breakage and flow in an industrial scale cone crusher. Miner Eng. https://doi.org/10.1016/j.mineng.2015.01.013

    Article  Google Scholar 

  28. Schuijs MJ, Willart MA, Vergote K et al (2015) Farm dust and endotoxin protect against allergy through A20 induction in lung epithelial cells. Science 349:1106–1110. https://doi.org/10.1126/science.aac6623

    Article  Google Scholar 

  29. Zhong W, Yu A, Liu X, Tong Z, Zhang H (2016) DEM/CFD-DEM modelling of non-spherical particulate systems: theoretical developments and applications. Powder Technol 302:108–152

    Article  Google Scholar 

  30. Abbaspour-Fard MH (2004) Theoretical validation of a multi-sphere, discrete element model suitable for biomaterials handling simulation. Biosyst Eng 88:153–161

    Article  Google Scholar 

  31. Yu Y, Fu H, Yu J (2015) DEM-based simulation of the corn threshing process. Adv Powder Technol 26:1400–1409

    Article  Google Scholar 

  32. Cleary P, Sinnott M, Morrison R, Cummins S, Delaney G (2017) Analysis of cone crusher performance with changes in material properties and operating conditions using DEM. Miner Eng. https://doi.org/10.1016/j.mineng.2016.10.005

    Article  Google Scholar 

  33. Lu G, Third JR, Müller CR (2015) Discrete element models for non-spherical particle systems: from theoretical developments to applications. Chem Eng Sci 127:425–465

    Article  Google Scholar 

  34. Zhu HP, Zhou ZY, Yang RY, Yu AB (2007) Discrete particle simulation of particulate systems: theoretical developments. Chem Eng Sci 62:3378–3396

    Article  Google Scholar 

  35. Weerasekara NS, Liu LX, Powell MS (2016) Estimating energy in grinding using DEM modelling. Miner Eng 85:23–33

    Article  Google Scholar 

  36. Cleary P (1998) Predicting charge motion, power draw, segregation and wear in ball mills using discrete element methods. Miner Eng. https://doi.org/10.1016/s0892-6875(98)00093-4

    Article  Google Scholar 

  37. Tavakoli H, Mohtasebi SS, Jafari A (2009) Physical and mechanical properties of wheat straw as influenced by moisture content. Int Agrophys 23:175–181

    Google Scholar 

  38. Voicu G, Tudosie E, Ungureanu N, Constantin G (2013) Some mechanical characteristics of wheat seeds. UPB Sci Bull 75:265–278

    Google Scholar 

  39. O’dogherty MJ, Huber JA, Dyson J, Marshall CJ (1995) A study of the physical and mechanical properties of wheat straw. J Agric Eng Res 62(2):133–142

    Article  Google Scholar 

  40. EDEM (2014) EDEM 2020 theory reference guide. DEM Solut

  41. Markauskas D, Kačianauskas R, Džiugys A, Navakas R (2010) Investigation of adequacy of multi-sphere approximation of elliptical particles for DEM simulations. Granul Matter. https://doi.org/10.1007/s10035-009-0158-y

    Article  MATH  Google Scholar 

  42. Markauskas D, Ramírez-Gómez Á, Kačianauskas R, Zdancevičius E (2015) Maize grain shape approaches for DEM modelling. Comput Electron Agric. https://doi.org/10.1016/j.compag.2015.09.004

    Article  Google Scholar 

  43. Hu G, Hu Z, Jian B, Liu L, Wan H (2011) On the determination of the damping coefficient of non-linear spring-dashpot system to model hertz contact for simulation by discrete element method. J Comput. https://doi.org/10.4304/jcp.6.5.984-988

    Article  Google Scholar 

  44. Tsuji Y, Kawaguchi T, Tanaka T (1993) Discrete particle simulation of two-dimensional fluidized bed. Powder Technol. https://doi.org/10.1016/0032-5910(93)85010-7

    Article  Google Scholar 

  45. Remy B, Khinast JG, Glasser BJ (2009) Discrete element simulation of free flowing grains in a four-bladed mixer. AIChE J. https://doi.org/10.1002/aic.11876

    Article  Google Scholar 

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

    Article  Google Scholar 

  47. Quist J, Evertsson CM (2016) Cone crusher modelling and simulation using DEM. Miner Eng. https://doi.org/10.1016/j.mineng.2015.11.004

    Article  Google Scholar 

  48. Sudajan S, Salokhe VM, Triratanasirichai K (2002) Effect of type of drum, drum speed and feed rate on sunflower threshing. Biosyst Eng. https://doi.org/10.1006/bioe.2002.0133

    Article  Google Scholar 

  49. Miu PI, Kutzbach HD (2008) Modeling and simulation of grain threshing and separation in axial threshing units. Part II. Application to tangential feeding. Comput Electron Agric 60:105–109

    Article  Google Scholar 

  50. Voicu G, Biris S, Stefan M, Alexandru G, Ungureanu N (2013) Grinding characteristics of wheat in industrial mills. Food Ind. https://doi.org/10.5772/53160

    Article  Google Scholar 

  51. Ivan G (2016) Mathematical modelling of the threshing process made by the threshing systems with multiple rotors. INMATEH—Agric Eng 49:83–90

    Google Scholar 

  52. Saeidirad MH, Esaghzade M, Arabhosseini A, Zarifneshat S (2013) Influence of machine-crop parameters on the threshability of sorghum. Agric Eng Int CIGR J 15:55–59

    Google Scholar 

  53. Xu L, Li Y (2011) Finite element analysis on damage of rice kernel impacting on spike tooth. Nongye Gongcheng Xuebao/Trans Chin Soc Agric Eng. https://doi.org/10.3969/j.issn.1002-6819.2011.10.005

    Article  Google Scholar 

  54. Fox RE (1969) Development of a compression type corn threshing cylinder.

  55. Chowdhury MH, Buchele WF (1975) Effects of the operating parameters of the rubber roller sheller. Trans ASAE 18:0482–0486

    Article  Google Scholar 

  56. Corn D, Clark SJ, Stephens LE, Fairbanks GE (1978) Parameters for measuring threshing characteristics of wheat. ASAE Paper No. 781567. St. Joseph, Mich.: ASAE

  57. Mohtasebi SS, Behroozi-Lar M, Alidadi JAVAD, Besharti K (2006) A New design for grain combine thresher. Int J Agric Biol 8:680–683

    Google Scholar 

  58. Miu PI, Kutzbach HD (2000) Simulation of threshing and separation processes in threshing units. Agrartechnische Forschung 6:1–7

    Google Scholar 

  59. Gore KL, Gupta CP, Singh G (1990) Development of power-operated groundnut sheller. AMA Africa Lat Am 21:38–44

    Google Scholar 

  60. Cleary P, Morrisson R, Morrell S (2003) Comparison of DEM and experiment for a scale model SAG mill. Int J Miner Process. https://doi.org/10.1016/S0301-7516(02)00065-0

    Article  Google Scholar 

  61. Han Y, Jia F, Zeng Y, Jiang L, Zhang Y, Cao B (2017) DEM study of particle conveying in a feed screw section of vertical rice mill. Powder Technol. https://doi.org/10.1016/j.powtec.2017.01.058

    Article  Google Scholar 

  62. Miu PI, Kutzbach HD (2008) Modeling and simulation of grain threshing and separation in threshing units-part I. Comput Electron Agric 60:96–104

    Article  Google Scholar 

  63. Lim BY, Shamsudin R, Baharudin BTHT, Yunus R (2015) A review of processing and machinery for Jatropha curcas L. fruits and seeds in biodiesel production: harvesting, shelling, pretreatment and storage. Renew Sustain Energy Rev. https://doi.org/10.1016/j.rser.2015.07.077

    Article  Google Scholar 

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Acknowledgements

The paper is the part of PhD studies of the first author (Adil Naseer Khawaja).

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The authors have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

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Khawaja, A.N., Khan, Z.M. DEM study on threshing performance of “compression–oscillation” thresher. Comp. Part. Mech. 9, 1233–1248 (2022). https://doi.org/10.1007/s40571-021-00456-4

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