The Mathematical Modeling of Mechanical Group Debarking in a Barking Drum

Page:

577-582

DOI:

https://doi.org/10.18280/mmep.090303

Received:

2 November 2021

Revised:

3 April 2022

Accepted:

8 April 2022

Available online:

30 June 2022

© 2022 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract:

The process of wood debarking plays a crucial role in determining the price and quality of the final product. Hence, this work aims to elaborate on a theoretical basis for upgrading wood chips production technology. Consideration should be given to the influence of various debarking parameters when processing wood in barking drums. Such parameters as the number of wood collisions with each other and against a drum body, shear pressure, and others were chosen as equation coefficients to model the wood debarking time and knife sharpening angle. The treatment time is shown to depend on the number of collisions, the diameter of the log and indices that consider filling, the proportion of bark and the thickness, and wood hardness. It was established that the time required to debark the tree using knives is 1.5-3 times lower depending on the temperature of raw materials. Moreover, the process tends to be intensified with increasing knife sharpness.

Keywords:

*simulation, barking drum, debarking duration, knife sharpening angle*

1. Introduction

Humanity can benefit from forestry ecosystems in various ways. Wood products are used in the food industry (for people or domestic animals), commercial activities (tourist resorts, sanatoriums), and households (for heating). To provide future generations with quality forests, it is necessary to periodically perform forest maintenance work, which includes cutting old or sick trees and planting young trees [1-3].

Thousands of products can be obtained from wood, most of which are made with the help of chemical or mechanochemical treatment methods [4]. Since most wood is converted into a cheap product (wood chips) for furniture production or direct sales, its processing is regulated by strict quality requirements like the absence of rot or bark residues [5, 6].

The final cost is most significantly influenced by debarking wood to obtain wood chips as quite a labor and energy-intensive process [7]. The main factors affecting the quality of the end product and the duration of work in the woodworking plants are the performance of the equipment and the methods used when debarking [6].

Over time, this process has undergone numerous modifications: from manual wood processing to fully mechanized methods [8]. The choice of the appropriate method depends on many factors, such as the tree type, amount of bark, moisture content, and others [9]. The most common debarking method is processing a group of trees in the barking drums, significantly reducing costs [10].

A particular feature of implementing the group debarking method is the interaction of internal mounted knives and logs [11, 12]. Many compatriots were partly engaged in the study of this process. According to Vasilev et al. [13], this process is divided into several areas when logs are pushed against one another or when they contact the internal structures. Other authors have engaged in modeling this process. Thus, Pobedinskii and Iovlev [14] carried out simulations of rotating debarking machines using MATLAB. This enabled them to explore the possibility of dynamic simulation to determine the fundamental processes of debarking. Nikonova [15] points out that a model using and adapting algorithms and reducing linear dependency can be used to investigate this problem. Therefore, it is necessary to optimize the debarking process and increase the amount of work in this direction. This work aims to develop a theoretical basis for improving the efficiency of the wood chips production process.

2. Materials and Methods

Debarking quality and wood losses depend on the necessary number of impacts *(N)* of the force *P*, which a log of a specific diameter *(d)* and length *(l)* experiences during a specific period *(t)* in the drum of diameter *(D)* and length *(L)*.

In turn, moisture value *W* and the temperature *T* of pulpwood, capacity and a degree of debarking drum loading, and its rotation frequency *ω* affect values *N* and *P*. Taken together, they determine the speed *(v)* of the logs' mutual collision and the speed of logs' collision against internal components of the drum.

According to the statistical model of the logs' collisions occurring inside the drum, the debarking quality is associated with total processing time. The equation of mathematical expectation of debarking quality *(M)* was developed based on the binomial distribution of the number of impacts shared by the inner surface elements of the area Δ*s* over a period *t*:

$M=100\left[1-\exp (-\lambda t) \sum_{0}^{N-1} \frac{(\lambda t)^{i}}{i !}\right]$ (1)

where, $\lambda$ is the intensity of impacts.

λ=1/(τ) (2)

where, $\tau$ is a model parameter.

Since the parameters *N* and $\lambda$ partially reflect the process of group debarking, a model of layered mixing with full consideration of raw material properties was suggested. The obtained formula contains a dimensionless parameter *θ* indicating a resistance degree of the bark element to the impact and aims to determine the velocity of bark and wood movements. The dimensionless parameter *θ* is equal to multiplying the cyclic vibration frequency by the period of impact duration.

The number of impacts *N* is taken equal to the ratio of shock impact *I _{i}*, N∙s, necessary for developing the debarking spot of the size Δ

$N_{\Sigma}=\frac{360}{\left[\arccos \left(1-\frac{K_{d}^{2}}{2\left(1-K_{d}\right)^{2}}\right) K_{l}\right]},$ (3)

where, *K _{d}*=

The factor *N*_{∑} specifies the conditions to be employed in the debarking process. Besides, the decrease in the size of pulpwood is accompanied by an increase in the frequency of shock impacts.

3. Results and Discussion

The total volume of bark in the drum (∑*V _{b}*) is determined by the internal space of the drum

The experimental value of *I _{i}* and the debarking point formation mechanism are evaluated relative to bark and wood destruction when contacting the drum knives located at an angle of 85° to the surface. During this process, the pulpwood undergoes significant loads due to the high stiffness of the drum shell. The log becomes a subject of unequal distribution of impact forces on the surface. Consequently, the process of "crumbling" can be observed at the end parts of the log. The process of log collision does not reflect traces of contact destruction of the bark and the wood itself, which have their own unique properties and affect the debarking.

The log is considered as a cylinder with equal diameter and height *d*, i.e., as a set of balls at equal volume with diameter $D_{b}=\sqrt{1.5} d$. The number of balls per one log is the summary size of the entire log and the log-to-ball volume ratio (*V _{lg}/V_{b}*). The two edge balls are called the end balls, and the rest will be called internal balls. All balls are considered soft relative to the hard surface of the drum.

Suppose the drum is considered a solid ball of infinitely large diameter *D _{h}*=∞, the interaction schemes between balls (logs) and the inner drum surface can be described as follows:

Scheme I: "*D _{b}-D_{b}*" is the interaction of two logs;

Scheme II: "*D _{b}-D_{h}*" is the interaction of logs and drum surface;

Scheme III "*D _{b}-D_{hi}*" is the interaction of logs and drum knives.

Considering the model as a quasi-static problem of collision of spherical bodies, scheme II is of particular interest in such a case.

The depth and radius of the contact point are the values of contact approach *h* and the radius of the contact area *a* under an impact load *P*. They are dependent upon each other. However, the impact processes in the mechanics of contact fracture are calculated by the value of approach *h*. In terms of debarking quality, consideration shall be given to debarking to the full bark depth. Therefore, the parameter *h* is considered the main geometric characteristic of the contact. The contact force *F* tend to increase along with the debarking spot development:

$F=k h^{\frac{3}{2}}$ (4)

where, the coefficient of proportionality *k* is determined as:

$k=\frac{4 E \sqrt{D_{b} / 2}}{3\left(1-\mu^{2}\right)}$ (5)

where, *E* is the value of Young's modulus, and $\mu$ is Poisson's ratio.

The equation of medium movement at the contact boundary during the formation of the debarking area has a differential nature:

$\frac{d h}{d \tau}=\sqrt{\frac{v^{2}-4 k h^{5 / 2}}{\mathrm{~T}}}$ (6)

where, *v* is the velocity of the log's mass *m* movement at the moment of impact.

The highest value *h=h _{о}* is reached at the time when the velocity of the approach $\frac{d h}{d \tau}=0$. As such, the value of the maximum contact approach from a single impact is equal to:

$h_{0}=\left(\frac{5}{4 k} m v^{2}\right)^{2 / 5}$ (7)

The total duration of impact $\tau=\tau_{o}$ is:

$\tau_{0}=3.2\left(\frac{m^{2}}{v k^{2}}\right)^{1 / 5}$ (8)

Differential Eq. (6) can be integrated considering Eq. (7) under the following initial conditions: at the moment *τ*=0, the approach *h*=0 allows obtaining the function of change in the time of contact approach *h*=*h*(*τ*):

$h=h_{0} \sin \left(\frac{v \pi \tau}{2.94 h_{0}}\right)$ (9)

which is considered in the section where *h* increases from 0 to *h _{o}*.

The size of the contact spot depends on *h* and is described by the Eq. (10):

$a=k \sqrt{\frac{h\left(1-\mu^{2}\right)}{\mathrm{E}}}$ (10)

The impact force *P* is calculated in the following way. First, the value *v=(*2*gH)*^{0.5} was determined based on the law of conservation of energy law. Here, *H* is the height of the logs' collision (the maximum value *H*=D-*d*). The force *P=mv/τ _{o}* was determined according to the law of conservation of momentum, where

All calculations were done based on Eqns. (4) and (10), taking into account experimental data obtained by other researchers. In particular, consideration was given to the processing conditions of the summer pulpwood with the moisture content of *W*=40-60%, diameter *d*=0.16 m, length *l*=1.9 m, and diameter *D*=2.1 m and the length *L*=4 m inside the drum.

Bark thickness was taken as *h _{b}*=0.021 m. The influence of moisture

The inconsistency of the contact convergence in plane *z* with the contact zone in direction *r* was determined by studying the dependences *h(τ)* and *a(τ)*. It was also found that the shear loads *q _{s}*, which can occur in the bark during impacts, are strong enough to fracture it to a depth

Vertical pressure *q _{z}* during shock interaction is defined as:

$q_{z}=\frac{P}{\pi h D_{b}}$ (11)

Radial pressure is determined as follows:

$q_{r}=-\frac{v}{1-v} q_{z}$ (12)

Taking into account Eqns. (11) and (12), it is possible to determine the shear pressure *q _{s}* as:

$q_{s}=\sqrt{q_{z^{2}}+q_{r}^{2}}$ (13)

When comparing the shear strength for pine bark with the obtained values, the inequality *q _{s}≥σ_{ss}* (0.33 MPa for unfrozen wood) is observed up to the moment of maximum convergence. It means that at depth

For the frozen pine, the value of 1.1 MPa≤*σ _{ss}*≤1.8 MPa. In this case, the value of shear pressure is insufficient within Δ

A single impact on the melted pine wood against the inner surface of the drum is enough to meet the debarking condition within Δs.

The bark volume was ∑*V _{b}*=0.06 m

The process of striking the hard surface of the drum is supposed to be fully reproduced at each cycle. The duration of process *T _{d}* is the primary indicator of group debarking. In the case of frozen mass, the debarking time increases, leading to the previously mentioned consequences. The following formula determines the time for the mathematical model:

$T_{o}=\frac{f_{1} f_{2} f_{3}}{8 n \Delta s}$ (14)

where,

$f_{1}=\frac{1}{a} \ln \left(\frac{100 \sum_{0}^{N-1} \frac{a^{i}}{i !}}{100-K}\right)$ (15)

where, parameter *a* indicates the average number of impacts: $a=\frac{N K}{100}$.

$f_{2}=\frac{0.85 D^{2} l \beta}{d}$ (16)

where, $\beta=\arccos \left(1-\frac{d^{2}}{2(D-d)^{2}}\right)$.

$f_{3}=f\left(K_{i}\right)$ (17)

where, *i*=1, 2, 3, 4 indicate dimensionless values: the coefficient of filling (*K _{1}*); the coefficient corresponding to the share of bark from the log mass (

From Eqns. (14)-(17), the main characteristics of collisions are *N* and Δ*s*. Modeling of pine and aspen debarking showed an exponential character of Δ*s* (*σ _{ss}*). It indicates that during group debarking of frozen pulpwood in the impact interaction process, the volume of pulpwood destruction is sharply reduced. Consequently, a higher number of impacts takes place, which is confirmed by simulations of pine and aspen debarking:

The calculations showed that in the processing of frozen wood, the duration of the logs' impact interaction time increases by multiple times. It leads to the corresponding increase in *T _{d}* required for debarking with allowance for processing quality. The research of dependence of debarking time on the temperature of pine and aspen has shown that decreasing temperature increases the process duration. As can be seen from Figure 1, the debarking time increases considerably at temperatures below –10°C. The time reduction is about 1.5–3 times when debarking logs without knives and their sharpening at an angle of 30°. Hence, the efficiency of the operation is considerably higher, and the costs are significantly reduced.

**Figure 1.** Wood debarking time vs. temperature of the wood

Knives placed on the inner part of the drum are used to speed up the process. In such a case, consideration should be given to the angle of sharpness *φ _{1 }*of the knife, interacting with the bark, thickness

The corresponding axial pressures *q _{z}* and

$q_{z}=-\frac{q_{o} f(\zeta, \rho)}{2\left(1-v^{2}\right)}$ (18)

where, *f *(ζ, ρ) is a two-dimensional function of dimensionless vertical $\varsigma={ }^{Z} / h_{o}$ and horizontal $\rho=r / h_{o}$ coordinates:

$f(\zeta, \rho)=0,5 \ln \left(\frac{b_{0}^{2}+2 b_{0} b_{1} \cos (\beta-\alpha)+b_{1}^{2}}{\zeta+\sqrt{\zeta^{2}+\rho^{2}}}\right.\left.+\zeta\left(\frac{1}{\sqrt{\zeta^{2}+\rho^{2}}}-\frac{\cos \alpha}{b_{0}}\right)\right)$ (19)

The values *b _{0}*,

$b_{1}=1+\varsigma^{2}$ (20)

$b_{0}=\left(\varsigma^{2}+\rho^{2}-1\right)^{2}+4 \varsigma^{2}$ (21)

$\operatorname{\varsigma t g} \beta=1$ (22)

$\left(\varsigma^{2}+\rho^{2}-1\right) \operatorname{tg} \alpha=2 \varsigma$ (23)

The value of the initial contact pressure *q _{ois}* is defined as follows:

$q_{0}=\frac{3 k}{\pi D_{b}}\left(\frac{5 m v^{2}}{4 k}\right)^{1 / 5}$ (24)

The values *q _{r}* and

Figure 2 shows the dependence of the coefficients *k _{q}* (curve 1) and

**Figure 2.** Parameters of debarking vs. knife angle

The increase in the coefficients with the angle reduction leads to higher contact pressure and elemental zone size, reducing, thus, the debarking time.

In a work by Vasiliev et al., the effect of the logs' collision with internal parts of the barking drum and between each other on the process simulation was ignored. Considering the logs as spherical bodies, they were shown to affect the group debarking process in terms of quality and duration [13].

Nikonova considered the influence of the drum body rigidity on the behavior of the logs inside. It was indicated that increased stiffness leads to higher wood losses due to the specific distribution of forces. At the same time, the influence of the logs' stiffness in collision with each other was neglected. In this study, the influence of drum stiffness on the process was not considered. However, the number and force of logs striking each other and drum surface were taken into account [15].

Kharrat et al. studied the dependence of radial force on the angle of barking drum knives. It was shown that the closer the angle value to the perpendicular arrangement, the less wood loss and higher debarking quality can be achieved. That is particularly true for trees at –20 °C with a low value of radial force. Although consideration was given to the influence of knife sharpening angles, the angle of the knives on the drum body was neglected. In this case, the radial force was interpreted as the pressure in the radial direction [11].

4. Conclusions

The efficiency of technological processes in woodworking companies and the quality of the finished products depend directly on the treatment regimen of raw materials.

The value of bark's shear pressure changes rapidly (by almost 0.5 m/s in a short period), and the pressure amounts to 80%.

It was found that changes in the size of the debarking area are exponential relative to the ultimate shear strength for trees of different types. However, this value is 2.5-3 times lower for perennial trees than for short-lived ones.

Decreasing temperature from 0 to –20°C increases the log processing time from 11 to 61 minutes (for debarking drums with knives) and from 35 to 92 minutes (for debarking drums without knives).

When the knife sharpening angle increases, the depth of bark destruction decreases, and the pressure on the debarking area also diminishes.

Further research is needed with other tree species used for wood chips production, as well as for establishing dependencies of woody plant features in other climatic zones.

Acknowledgment

The work was carried out within the confines of the scientific school “Advances in lumber industry and forestry”. This paper was supported by the grant of the Russian Science Foundation № 22-26-00009, https://rscf.ru/project/22-26-00009/.

Nomenclature

P |
force |

d |
diameter |

l |
length |

t |
period |

D |
drum of diameter |

L |
length |

W |
moisture value |

T |
temperature |

v |
speed |

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