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Effect of Pressure Distribution on the Energy Dissipation of Lap Joints under Equal Pre-tension Force

  • Delin Sun EMAIL logo and Minggao Zhu
Published/Copyright: June 17, 2019

Abstract

In this paper, the energy dissipation in a bolted lap joint is studied using a continuum microslip model. Five contact pressure distributions compliant with the power law are considered, and all of them have equal pretension forces. The effects of different pressure distributions on the interface stick-slip transitions and hysteretic characteristics are presented. The calculation formulation of the energy dissipation is introduced. The energy dissipation results are plotted on linear and log-log coordinates to investigate the effect of the pressure distribution on the energy distribution. It is shown that the energy dissipations of the lap joints are related to the minimum pressure in the overlapped area, the size of the contact area and the value of the power exponent. The work provides a theoretical basis for further effective use of the joint energy dissipation.

1 Introduction

Many engineering structures consist of multiple components that are fastened by bolts. The bolted joints have notable effects on the structures’ responses. In dynamic environments, bolted joints are the main source of damping, and contribute to 90% of the energy dissipation of jointed structures [1, 2]. Meanwhile, joint interfaces present very complicated, non-linear behaviors that vary with load amplitudes, which result in non-linear responses [3, 4].

Microslip is the main mechanism of the joint energy dissipation and non-linearity [5, 6]. According to experimental studies, the main factors affecting microslip and energy dissipation are normal loads, components materials, surface roughness and geometry dimensions of the joints (bolts, washers and components), etc. [7, 8, 9, 10, 11]. The normal load is usually characterized as the bolt pretension force. As is well known, bolt pre-tension force is negatively correlated with joint energy dissipation.

The pre-tension forces, components materials and geometry dimensions directly result in different interface pressure distributions [12]. Hence, use of the interface pressure distribution to characterize the normal load is more specific than any of these other factors. Significant effort has been expended in studying the relationship between interface pressure distribution and microslip. Menq analyzed the dynamic responses of a damper under a uniform pressure distribution [13]. Casba presented responses of a damper subjected to normal tractions with quadrature pressure distribution [14]. Song et al. studied a lap joint subjected to power- and Gaussian-function pressure distributions, and presented the power-law relationship between the energy dissipation and tangential forces [15]. Cigeroglu considered the effect of inertia of elastic rods and analyzed stick-slip transitions of the contact interfaces under convex, concave and uniform pressure distributions [16]. Xiao et al. analyzed the effect of pressure distributions with four different power-function exponents on energy dissipation of the lap joints [17].

Of the literature mentioned above, most of the studies emphasize the effect of pressure distribution compared with different types of functions of the energy dissipation. Xiao considered the distributions of power function with different exponents, in which the contact area and minimum pressure are assumed to be equal. So, in essence, Xiao’s research is more inclined to be about the effect of pre-tension force on the energy dissipation of the lap joint. It is of engineering benefits to study the effect of different pressure distributions on the energy dissipation under equal bolt pre-tention force, which helps further comprehend the mechanism of energy dissipation and effectively use energy dissipation to reduce the structure responses.

The purpose of this work is to evaluate the effect of the pressure distribution on the energy dissipation of bolted joints. A continuum model is employed to simulate the lap joint. Five power functions with different coefficients and exponents, to express different distribution characteristics, are considered. The static response of a microslip model is obtained, then the effects of pressure distributions on the interface stick-slip transitions, hysteretic characteristics and energy dissipation are analyzed in successive sections, leading to a brief conclusion.

2 Bolted lap joint microslip model

The study object is a shear lap joint under a longitudinal force, as shown in Figure 1. The length of the overlap zone is 2L. The upper and lower parts are approximated to elastic rods incapable of supporting bending moments. For convenience, the structure is simplified as the continuum model shown in Figure 2.

Figure 1 Sketch of the lap joint.
Figure 1

Sketch of the lap joint.

Figure 2 Microslip model of the lap joint.
Figure 2

Microslip model of the lap joint.

In this model, only the right half of the lap joint is considered. The model contains an elastic rod and a rigid base with a shear layer of negligible thickness between them. The elastic rod has a length of L, a uniform Young’s modulus E and a constant cross-sectional area A. τ denotes the stress on the shear layer, which has property similar to ideal elastic-plastic materials, as shown in Figure 3. u is the displacement at a certain point on the shear layer. The stiffness per unit length of the shear layer in the stick zone is k. τmax is the stress of a certain point on the shear layer when it is subjected to slip. τmax = μp, where μ and p denote the interface friction coefficient and the interface pressure respectively.

Figure 3 The stress-displacement relationship of the shear layer.
Figure 3

The stress-displacement relationship of the shear layer.

In order to express the pressure distribution under equal pre-tension force, the following power function is constructed:

(1) p ( x ) = c α c β p 0 ( 1 ( x l ) α ) 0 x l

where, cα is the coefficient of the power function, which is related to the power exponent.

c α = 1 α = 0 α + 1 α α > 0

cβ is the length coefficient, which is related to the length of the contact area. L = L/β and cβ = β.

p0 is the uniform normal pressure value distributed along the length of L. Namely, when α = 0 and β = 1, then p(x) = p0.

For generalization, different values are assigned to α and β as shown in the formulas below.

p ( x ) = p 0 α = 0 , β = 1 x L ( a ) 2 p 0 1 x l α = 1 , β = 1 x L ( b ) 3 p 0 1 ( x l ) 2 α = 2 , β = 2 x L 2 ( c ) 4 p 0 1 x l α = 1 , β = 2 x L 2 ( d ) 6 p 0 1 ( x l ) 1 / 2 α = 1 2 , β = 2 x L 2 ( e )

where (a) represents the uniform pressure distribution and also represents the contact pressure at the right-hand end of the overlap zone not yet attenuating to zero. The values of α in (b) and (d) are the same, which represent two modes of distribution with the same power exponent but different contact areas. The values of β in (c), (d) and (e) are

the same, representing distributions with the same contact area but different power exponents. For comparison, take (a), (b) and (d) as group one and (c), (d) and (e) as group two. Figure 4 shows the plots of the two groups.

Figure 4 Pressure distribution graphs.
Figure 4

Pressure distribution graphs.

The right end of the elastic rod is subject to a tangential load, F. The shear layer is divided into a stick zone and a slip zone. We assume the stick zone extends from x = 0 to some point x = ln (where ln is the length of the stick zone) and the region beyond that point constitutes the slip zone. The displacement of all points along the x direction can be calculated.

3 Calculation of the microslip responses

The governing equations defining the microslip situation are defined as

For the stick zone:

(2) E A u ( x ) k u ( x ) = 0 0 x l n

For slip zone:

(3) E A u ( x ) μ p ( x ) = 0 l n x l

The boundary conditions at both ends of the rod are

(4) E A u ( 0 ) = 0 , E A u ( l ) = F

The continuity condition at x = ln must be satisfied

(5) u ( l n ) = u ( l n ) + , u ( l n ) = u ( l n ) +

The superscripts + and – denote limiting values from right and left of transition point (x = ln) respectively.

Solving equation (2) and (3) with boundary and continuity conditions leads to the displacement at a point distance x from the left end of the beam.

When α ≠0,

(6) u ( x ) = [ F μ p 0 ( l l n ) ] cosh ( γ x ) E A γ sinh ( γ l n ) 0 x < l n D 2 x 2 + D 1 x + D 0 l n x l

Where,

D 0 = F p 0 μ ( l l n ) E A γ tanh ( γ l n ) p 0 μ l n 2 2 E A + ( F p 0 μ l ) l n E A , D 1 = F + P 0 μ l E A , D 2 = p 0 μ 2 E A , γ = k E A .

When α > 0,

(7) u ( x ) = cosh ( γ x ) γ sinh ( γ l n ) ( C L α 1 α + 1 l n α + 1 + C l n + F E A α C l α + 1 ) 0 x < l n D 3 x α + 2 + D 2 x 2 + D 1 x + D 0 l n x l

Where,

D 0 = 1 γ tanh ( γ l n ) C l α ( α + 1 ) l n α + 1 + C l n + F E A α C l α + 1 C l n α + 2 l α ( α + 1 ) ( α + 2 ) + C l n 2 2 + F l n E A α C l l n α + 1 D 1 = F E A C l α α + 1 , D 2 = C 2 , D 3 = C l α 1 ( α + 1 ) ( α + 2 ) , C = c α c β p 0 μ E A

4 Effect of interface pressure distributions on stick-slip transitions

As mentioned previously, the microslip is the main mechanism for the energy dissipation of the joint interface. When analyzing the energy dissipation associated with the microslip, we should first determine the slip zone. Therefore, investigating the effect of interface characteristics on the stick-slip transitions forms the premise for analyzing how it affects the energy dissipation.

There is a stress-continuity condition at the critical point x = ln.

(8) k u ( l n ) = μ p ( l n ) +

When α = 0, combining equations (1) and (6) yields

(9) F = E A p 0 μ γ tanh ( γ l n ) k + p 0 μ ( l l n )

When α > 0, combining equations (1) and (7) yields

(10) F = E A p ( l n ) μ γ tanh ( γ l n ) k + E A C l α l n α + 1 α + 1 + E A α C l α + 1 E A C l n

Equations (9) and (10) represent the nonlinear relationship between the length of the stick zone length ln and the force F.

If ln = l, then the minimum force required to start a microslip can be determined.

When α = 0,

(11) F min = E A p 0 μ γ tanh ( γ l ) k

As it can be seen that the minimum load is proportional to p0.

When α > 0,

(12) F min = 0

That is, if the contact pressure attenuates to zero within the overlap zone, a microslip starts while load is applied.

When ln = 0, the load inducing the macroslip can be determined.

(13) F max = c β l p 0 μ = L p 0 μ

The tangential force required to start a microslip is related to the pre-tension force, i.e. Lp0 As the pre-tension forces for the five pressure distributions are the same, so the tangential forces to start macroslips are the same too.

Figure 5 shows instances of stick-slip transitions under tangential loads for the two groups of pressure distributions. Throughout this paper, we take E = 2 × 1011 MPa, A = 1 mm2, L = 30 mm, p0 = 150 MPa, k = 10 GPa and μ = 0.3.

Figure 5 Instances of the relationship between the length of the stick zone and tangential force.
Figure 5

Instances of the relationship between the length of the stick zone and tangential force.

For comparison, the length of the stick zone is normalized as χ, i.e. χ = ln l. In figure 5, the horizontal axis is χ. The vertical axis is the tangential load F. Each curve represents a critical curve of the stick-slip transition on which the left side corresponds to the stick zone and the right side corresponds to the slip zone. Each critical curve starts on the left side, which indicates initialization of the microslip, and is the stick-microslip transition point. The right end point, which indicates the start of the macroslip, is the microslipmacroslip transition point.

It is obvious that the distributions affect the microslips of the interfaces. For group one, distribution (a) needs a certain force, i.e. F = 618 N in this instance, to start the mi-croslip. Before that, the interface is completely stuck. For (b) and (d), only the value of β is different. It shows that the normalized length of the slip zone is relatively large when β = 1 under the same force, except for the start point and the end point. For distribution (a), the normalized length of the slip zone is always less than that of (b) and (d), because its minimum normal pressure of the overlapped area is non-zero.

For group two, only the power exponents are different. Under the same tangential forces, distribution (c), i.e. α = 1/2, has the largest length of the slip zone. Distribution (e), i.e. α = 2, has the smallest one. That is to say, for group two, the length of the slip zone is negatively correlated with the exponents. This is mainly because, if α is relatively small, the pressure of the right-hand area of the elastic rod is smaller and the yield stress is smaller as well. Thus microslip is more likely to happen.

5 Effect of pressure distributions on the hysteretic characteristics

The interface stick-slip transition results in force-displacement hysteresis. The hysteretic loop formed by force and displacement reflects stiffness softening and energy dissipation of the structure experienced repeatedly during loading process. The force-displacement curve obtained due to a monotonically increasing tangential force is called a hysteretic skeleton curve.

5.1 The hysteretic skeleton curve

Let x in formula (6) and (7) be l, and the force-displacement relationship at the right-hand end of the elastic rod can be obtained as

(14) F = k f u ( l ) + C f

Where

k f = 1 l l n E A + 1 E A γ tanh ( γ l n )
(15) C f = p 0 μ ( l l n ) 2 2 E A + p 0 μ ( l l n ) E A γ tanh ( γ l n ) l l n E A + 1 E A γ tanh ( γ l n ) α = 0 C l 2 ( α + 1 ) ( α + 2 ) C ( l 2 l n 2 ) 2 + α C l ( l l n ) α + 1 + C l n α + 1 l α ( α + 1 ) C l n + α C l α + 1 γ tanh ( γ l n ) C l n α + 2 l α ( α + 1 ) ( α + 2 ) l l n E A + 1 E A γ tanh ( γ l n ) α > 0

Supposing ln = l, for the pressure distribution of (α), i.e. at α = 0, the model is completely stuck. For other distributions, the microslip starts.

(16) k f = E A γ tanh ( γ l )

This indicates that initial tangential stiffness of the contact area is related to the length of l.

If ln = 0, the model is in macroslip.

(17) k f = 0

Figure 6 shows the skeleton curves for different pressure distributions. From the reduction of the curve slopes with increasing amplitude, we can see the stiffness softening behavior of the model.

Figure 6 Skeleton curves for different pressure distributions (⊕ denotes microslip starting for distribution (α)).
Figure 6

Skeleton curves for different pressure distributions ( denotes microslip starting for distribution (α)).

For group one, with increasing force, the skeleton curve of distribution (α) is divided into linear, nonlinear and constant sections for stick, microslip and macroslip. The initial slopes of the curves for (b) and (α) are identical, because both have the same contact area, l. For distribution (d), the length of the contact area l = L/2. In order to compare (d) with the former two in the length of L, a section of L/2 length of elastic rod, not in contact with the

rigid base, is added at the right-hand end of the original rod. Because the section of elastic rod has no contact stiffness, the slope of the skeleton curve for (d) is obviously lower than that of (α) and (b).

As predicted, the distributions of group two present the same initial stiffness and their contact areas are the same. With increase of the tangential load, the joint stiffness is positively correlated with α. As described in section 4, it is easier to induce microslip at the right-hand side of the elastic rod when α is smaller, which results in a decrease of joint stiffness.

5.2 The hysteretic loops

It will be helpful to further understand the dynamic of the interface with the hysteretic loops, which can be obtained based on the skeleton curves and the Masing rule [18, 19]. The mathematical expression for the unloading can be expressed as

(18) F u = F 0 2 k f ( u ( l ) 0 u ( l ) u 2 ) 2 C f

Where, F 0 and u(L)0 are the force and displacement values at which the loading process reversed. Fu and u(L)u are the unloading force and displacement, respectively. After unloading, the reloading process can be expressed as

(19) F r = F 0 + 2 k f ( u ( l ) 0 + u ( l ) u 2 ) + 2 C f

Figure 7 shows the hysteretic curves of the microslip model for different pressure distributions. Here, the load amplitudes are chosen to be 800 N. The area of the hysteretic loop represents the amount of energy dissipation per cycle. As it can be seen from the figure, under the chosen force amplitude, the energy dissipation varies with the pressure distribution modes. For group one, the energy dissipation of distribution (α) is the lowest. (b) and (d) have the same power exponent. The distribution which has larger contact area, i.e. (b), dissipates more energy than (d). For group two, it is obvious that the energy dissipation is negatively correlated with power exponent α.

Figure 7 Hysteretic loops for different pressure distributions.
Figure 7

Hysteretic loops for different pressure distributions.

The advantage of energy dissipation based on a hysteretic loop is that the loop can be plotted directly by the skeleton curve. There is a certain force amplitude for each loop. It is hard to get the energy dissipation results of the forces from microslip to macroslip. This problem can be solved by using the friction work to calculate the energy dissipation, as shown in the next section.

6 The effect of pressure distributions on the joint disspation

The displacement at position x is the sum of the elastic displacement and the slip displacement

(20) u ( x ) = u c ( x ) + u s ( x )

Where, uc(x) is the critical displacement when point x is transformed from stick to slip, uc(x) = μp(x)/k. This is the elastic displacement and has no relation with energy dissipation. us(x) is the slip displacement which will generate energy dissipation. The energy dissipation per cycle generated by the interface friction is

(21) Δ E D = 4 l n l μ p ( x ) u s ( x ) d x = 4 l n l μ p ( x ) u ( x ) u c ( x ) d x

Therefore, the energy dissipation under different pressure distributions can be obtained.

6.1 The energy dissipation per cycle on linear coordinates

Figure 8 shows the energy dissipation per cycle ΔED as a function of force amplitudes F for different pressure distributions. From the figure it can be seen that, with increasing force, the energy dissipation increases, and a nonlinear relationship exists.

Figure 8 Instances of energy dissipation per cycle for different pressure distributions.
Figure 8

Instances of energy dissipation per cycle for different pressure distributions.

For the pressure distribution (α) of group one, when the tangential force is small, i.e. F < 618 N in this instance, the model doesn’t produce any dissipation because the interface is completely stuck and there is only elastic displacement. Under the same load, the energy dissipation of (α) is far less than that of distributions (b) and (d). For distribution (b) with a contact area of L, and distribution(d) with a contact area of L/2, the former dissipates more energy than the latter. As can be seen from section 4, distribution, (b) has a longer length of slip zone and larger slip displacement, so more energy dissipation is produced.

The distributions of group two have the same contact area but different power exponents. At the beginning of microslip, namely when the tangential load is relatively small, it is hard to distinguish the energy dissipation curves of the three. The interface pressures and microslip areas are nearly the same at the beginning of the curves. With increasing load, the differences between the energy curves increase and the energy dissipation capabilities decrease in a sequence of α = 1/2, α = 1 and α = 2.

6.2 The energy dissipation on log-log coordinates

A power law relationship exists between the energy dissipation per cycle and the load amplitudes, i.e. ΔED = αFn, 2 ≤ n ≤ 3.3 [20, 21]. That is to say, on log-log coordinates, a linear relationship exists and the slope of the curve represents the nonlinearity degree between energy dissipation per cycle and the load amplitudes. This feature is considered to be the main measure for distinguishing the energy dissipation characteristics of different joint interfaces.

Figure 8 is replotted on log-log coordinates in Figure 8. It can be seem that, if the data corresponding to small force amplitudes are ignored, the curve can be approximated to a straight line. The curves are fitted and the slopes of the lines can be obtained, as shown in Table 1.

Table 1

power-law exponents n between energy dissipation per cycle and the tangential load amplitudes for different pressure distributions

Group one n Group two n
(α) = 1, β = 1 3.09 (c) α = 1/2, β = 2 2.90
(b) α = 1, β = 1 2.77 (d) α = 1, β = 2 2.77
(d) α = 1, β = 2 2.79 (e) α = 2, β = 2 2.63

As can be seen from the table, the minimum value of the power law exponent n is 2.77 and the maximum value is 3.09, which exhibits similar variation to the experimental results[10]. The power law exponent between the unit periodical energy dissipation and the load amplitude is related to the mode of pressure distribution. To be specific, for the distributions of group one, distribution (α)has the strongest nonlinear behavior. For the distributions of group two, it is obvious that, with the increasing values of α, the slope of the curves decrease correspondingly; namely, the nonlinear behaviors recede.

Figure 9 Log-log plots of energy dissipation for different pressure distributions.
Figure 9

Log-log plots of energy dissipation for different pressure distributions.

7 Conclusion

This paper constructs a microslip model simulating a bolted lap joint. Five contact pressure distributions are considered, all with equal pre-tension force. This paper investigates the effects of different pressure distributions on the interface stick-slip transitions and hysteretic characteristics. As can be seen, both the amount and nonlinearity of the joint energy dissipation are related to factors including: whether the pressure within the overlapped area attenuates to zero, the size of the contact area, and the value of the power exponent. The study theoretically shows that the energy dissipation capability can be improved by reasonably designing the structure to obtain a desired interface pressure distribution, even if the pre-tension force is the same.

Acknowledgement

The work has been supported by PHD Programs Foundation of Ludong University (25970301).

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Received: 2019-03-27
Accepted: 2019-04-18
Published Online: 2019-06-17

© 2019 D. Sun and M. Zhu, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  52. Stress Characteristics and Overload Failure Analysis of Cemented Sand and Gravel Dam in Naheng Reservoir
  53. A Big Data Analysis Method Based on Modified Collaborative Filtering Recommendation Algorithms
  54. Semi-supervised Classification Based Mixed Sampling for Imbalanced Data
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  56. Estimation of sand water content using GPR combined time-frequency analysis in the Ordos Basin, China
  57. Special Issue Applications of Nonlinear Dynamics
  58. Discrete approximate iterative method for fuzzy investment portfolio based on transaction cost threshold constraint
  59. Multi-objective performance optimization of ORC cycle based on improved ant colony algorithm
  60. Information retrieval algorithm of industrial cluster based on vector space
  61. Parametric model updating with frequency and MAC combined objective function of port crane structure based on operational modal analysis
  62. Evacuation simulation of different flow ratios in low-density state
  63. A pointer location algorithm for computer visionbased automatic reading recognition of pointer gauges
  64. A cloud computing separation model based on information flow
  65. Optimizing model and algorithm for railway freight loading problem
  66. Denoising data acquisition algorithm for array pixelated CdZnTe nuclear detector
  67. Radiation effects of nuclear physics rays on hepatoma cells
  68. Special issue: XXVth Symposium on Electromagnetic Phenomena in Nonlinear Circuits (EPNC2018)
  69. A study on numerical integration methods for rendering atmospheric scattering phenomenon
  70. Wave propagation time optimization for geodesic distances calculation using the Heat Method
  71. Analysis of electricity generation efficiency in photovoltaic building systems made of HIT-IBC cells for multi-family residential buildings
  72. A structural quality evaluation model for three-dimensional simulations
  73. WiFi Electromagnetic Field Modelling for Indoor Localization
  74. Modeling Human Pupil Dilation to Decouple the Pupillary Light Reflex
  75. Principal Component Analysis based on data characteristics for dimensionality reduction of ECG recordings in arrhythmia classification
  76. Blinking Extraction in Eye gaze System for Stereoscopy Movies
  77. Optimization of screen-space directional occlusion algorithms
  78. Heuristic based real-time hybrid rendering with the use of rasterization and ray tracing method
  79. Review of muscle modelling methods from the point of view of motion biomechanics with particular emphasis on the shoulder
  80. The use of segmented-shifted grain-oriented sheets in magnetic circuits of small AC motors
  81. High Temperature Permanent Magnet Synchronous Machine Analysis of Thermal Field
  82. Inverse approach for concentrated winding surface permanent magnet synchronous machines noiseless design
  83. An enameled wire with a semi-conductive layer: A solution for a better distibution of the voltage stresses in motor windings
  84. High temperature machines: topologies and preliminary design
  85. Aging monitoring of electrical machines using winding high frequency equivalent circuits
  86. Design of inorganic coils for high temperature electrical machines
  87. A New Concept for Deeper Integration of Converters and Drives in Electrical Machines: Simulation and Experimental Investigations
  88. Special Issue on Energetic Materials and Processes
  89. Investigations into the mechanisms of electrohydrodynamic instability in free surface electrospinning
  90. Effect of Pressure Distribution on the Energy Dissipation of Lap Joints under Equal Pre-tension Force
  91. Research on microstructure and forming mechanism of TiC/1Cr12Ni3Mo2V composite based on laser solid forming
  92. Crystallization of Nano-TiO2 Films based on Glass Fiber Fabric Substrate and Its Impact on Catalytic Performance
  93. Effect of Adding Rare Earth Elements Er and Gd on the Corrosion Residual Strength of Magnesium Alloy
  94. Closed-die Forging Technology and Numerical Simulation of Aluminum Alloy Connecting Rod
  95. Numerical Simulation and Experimental Research on Material Parameters Solution and Shape Control of Sandwich Panels with Aluminum Honeycomb
  96. Research and Analysis of the Effect of Heat Treatment on Damping Properties of Ductile Iron
  97. Effect of austenitising heat treatment on microstructure and properties of a nitrogen bearing martensitic stainless steel
  98. Special Issue on Fundamental Physics of Thermal Transports and Energy Conversions
  99. Numerical simulation of welding distortions in large structures with a simplified engineering approach
  100. Investigation on the effect of electrode tip on formation of metal droplets and temperature profile in a vibrating electrode electroslag remelting process
  101. Effect of North Wall Materials on the Thermal Environment in Chinese Solar Greenhouse (Part A: Experimental Researches)
  102. Three-dimensional optimal design of a cooled turbine considering the coolant-requirement change
  103. Theoretical analysis of particle size re-distribution due to Ostwald ripening in the fuel cell catalyst layer
  104. Effect of phase change materials on heat dissipation of a multiple heat source system
  105. Wetting properties and performance of modified composite collectors in a membrane-based wet electrostatic precipitator
  106. Implementation of the Semi Empirical Kinetic Soot Model Within Chemistry Tabulation Framework for Efficient Emissions Predictions in Diesel Engines
  107. Comparison and analyses of two thermal performance evaluation models for a public building
  108. A Novel Evaluation Method For Particle Deposition Measurement
  109. Effect of the two-phase hybrid mode of effervescent atomizer on the atomization characteristics
  110. Erratum
  111. Integrability analysis of the partial differential equation describing the classical bond-pricing model of mathematical finance
  112. Erratum to: Energy converting layers for thin-film flexible photovoltaic structures
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