Strona 2_redak - Instytut Agrofizyki im. Bohdana DobrzaÅskiego ...

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144 Table 16.35. Mean values (± St. Dev.) of the elasticity modulus E and the Poisson’s ratio ν of rape seeds variety Licosmos at the moisture content of 6-16% Material Moisture content (%) Modulus of elasticity Ε (MPa) Poisson’s ratio ν Rape seeds Licosmos 6 9 12 16 9.0 ± 0.6 8.7 ± 0.8 7.1 ± 0.6 6.6 ± 0.9 0.24 ± 0.03 0.17 ± 0.02 0.16 ± 0.01 0.10 ± 0.01 Table 16.36. Mean values (± St. Dev.) of the elasticity modulus E and the Poisson’s ratio ν of selected seeds Material Moisture content (%) Modulus of elasticity Ε (MPa) Poisson’s ratio ν Amaranth. Rawa White mustard. Borowska Pea. Piast Buckwheat. Kora Lentils.Tina Soybeans. Aldana 8 9 10 10 8 8 30.8 ± 1.8 13.1 ± 0.5 16.8 ± 2.1 20.6 ± 2.3 16.3 ± 0.7 32.6 ± 1.4 0.27 ± 0.02 0.24 ± 0.01 0.26 ± 0.03 0.20 ± 0.02 0.24 ± 0.01 0.15 ± 0.02 Table 16.37. Mean values (±St. Dev.) of the elasticity modulus E and the Poisson’s ratio ν of selected food powders Material Moisture content (%) Modulus of elasticity Ε (MPa) Poisson’s ratio ν Flour Coarse flour Semolina Wheat groats Pearl barley groats Oat meal Icing sugar 12.7 13.4 12.7 13.6 13.2 11.0 0.4 18.5 ± 0.7 16.5 ± 1.5 15.3 ± 0.5 18.9 ± 0.5 14.9 ± 1.2 7.7 ± 1.2 28.2 ± 4.8 0.16 ± 0.01 0.19 ± 0.02 0.20 ± 0.01 0.21 ± 0.01 0.23 ± 0.03 0.23 ± 0.01 0.20 ± 0.01 Table sugar Potato starch Powder milk Granulated milk Table salt Corn meal Soybean meal 0.4 18.2 4.4 7.9 0.2 11.7 8.5 30.8 ± 1.6 21.7 ± 1.3 22.1 ± 1.1 18.4 ± 0.8 31.9 ± 2.3 12.1 ± 1.1 10.0 ± 2.1 0.21 ± 0.01 0.24 ± 0.01 0.18 ± 0.01 0.17 ± 0.01 0.23 ± 0.04 0.21 ± 0.01 0.26 ± 0.02
145 Address of Authors Marek Molenda Józef Horabik Institute of Agrophysics, Polish Academy of Sciences XO'RZLDGF]DOQD-290 Lublin, Poland tel. +48 81 7445061 fax +48 81 7445067 e-mail: m.molenda@demeter.ipan.lublin.pl
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EC Centre of Excellence AGROPHYSICS
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4 9.3. Factors influencing the coef
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6 BASIC NOTATION c - cohesion [kPa]
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8 Numerous granular materials when
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10 the tensor of plastic strain inc
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12 Fig. 2.1. Yield curves with comp
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14 Stable or unstable behaviour of
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16 In turn, the model of Lade, also
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18 same porosity need not have iden
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20 where: A = ∫ E( β) sin βdβ
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22 (β = 0 o ), positioning the out
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24 grain was poured into the mould
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26 axes of the ellipse characterizi
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28 [176] for the determination of p
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30 A different approach to the desc
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32 where: I - moment of inertia, k
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34 a) b) f s f s m M f n f n Contac
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36 The micropolar model yields resu
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38 Fig. 3.17. Model of shear band f
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40 In the case of agricultural mate
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42 5.2. Density of consolidated mat
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44 (cereal grain, sand, soil), the
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46 Multiple wetting and drying of g
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48 vertical pressure within the ran
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50 of the curve defined by A, where
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52 6. Vertical consolidation refere
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54 poured into the box without vibr
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56 7.2.2. Bulk density Stress-strai
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58 near the box wall and lifted alo
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60 and the upper boundary was 18.5
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62 A -1 5 -1 0 -5 1 0 5 -5 5 1 0 1
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64 Fig. 8.2. Yield locus and effect
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66 in such a way that friction woul
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68 a) b) µ = tg ϕw ϕ w c) d) e)
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70 9.3. Factors influencing the coe
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72 galvanized steel received from d
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74 9.3.4. Velocity of sliding Becau
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76 1+ sinϕ k = . 1 − sinϕ (10.3
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78 N ϕ VLQϕ 3UHVVXUHUDWLRN
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80 10.4.1. Friction force mobilizat
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82 10.4.3. Moisture content With in
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84 Table 10.1. Measured (k s ) and
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86 conventional engineering analyse
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88 a, b - product-dependent coeffic
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90 also be performed as a function
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92 reliable processing and stable v
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Page 96 and 97: 96 The Chute Index (CI) is recommen
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Page 102 and 103: 102 In the field of experimental in
Page 104 and 105: 104 22. Britton M.G., Moysey E.B.:
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Page 110 and 111: 110 158. 6WSQLHZVNL$ Influence of m
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Page 126 and 127: 126 Table 16.16. Cont. 1 2 3 4 Icin
Page 136 and 137: 136 Table 16.25. Cont. 1 2 3 4 Icin
Page 140 and 141: 140 Table 16.29. Cont. Table sugar
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