01.12.2020  Original Article  Ausgabe 1/2020 Open Access
New Startup Method for a ClosedCycle Compression System with Gas Bearings and Its Characteristics
 Zeitschrift:
 Chinese Journal of Mechanical Engineering > Ausgabe 1/2020
Abbreviations
\(\varepsilon\)
Gas bearing eccentricity ratio
\(\lambda\)
Pipeline’s pressure loss coefficient
\(c_{v}\)
Heat capacity at constant volume
\(d_{0}\)
Feed orifice diameter
\(dt\)
Time Step
\(h\)
Clearance between thrust bearing surfaces, Enthalpy
\(h_{ 0}\)
Journal bearings’ mean radial clearance
\(l\)
Feed orifices’ distance from end of journal bearings
\(l_{ 0}\)
Feed orifice length
\(m_{ 1}\)
Mass in the gas tank
\(\dot{m}\)
Mass flow rate
p
Pressure
\(p_{\text{a}}\)
Atmospheric pressure
\(p_{s}\)
Supply pressure
\(q\)
Heating power
\(u\)
Internal energy
\(D\)
Journal bearing diameter
\(D_{ 1}\)
Annular thrust bearing’s interior diameter
\(D_{ 2}\)
Annular thrust bearing’s exterior diameter
\(D_{m}\)
Diameter of the ring of feed orifices in annular thrust bearing
\(L\)
Journal bearing length
\(N\)
Feed orifice number per row in journal bearings, Feed orifice number in thrust bearings
\(R_{\text{g}}\)
Specific gas constant
T
Temperature
\(V_{ 1}\)
Gas tank volume
\(W_{\text{a}}\)
Axial load
\(W_{\text{r}}\)
Radial load
1 Introduction
A gas bearing is one type of noncontact bearing that employs a pressurized gas film to support moving parts and resist external loads [
1]. Compared to a liquid lubricated bearing, it has the advantages of low friction, limited heat generation and long life, which is due to the absence of contact between moving and stationary parts [
2]. Moreover, no additional lubricant or coolant is required in the system with aerostatic bearings, since the air or the working medium are used for lubrication [
3]. Therefore, theoretical research on gas bearings and their application has developed rapidly [
4]. In theoretical research, Belforte approximated discharge coefficients of different restrictor for aerostatic thrust bearings by an experimental formula [
5]. Then, based on the Belforte’s research, Song et al. [
6] used a FEM model to analyze the discharge coefficients considering the rotational speed, and Zhang et al. [
7] study the discharge coefficients with consideration of the airflow status. Wang found temperature zone in which the stability of micro gas thrust bearing system is the weakest by analysis of dynamic characteristics of the system at high operating temperature up to 1600 K [
8]. Zhang investigated the undesirable pressure depression in aerostatic thrust bearing and explored the condition on which the pressure depression occurs [
9]. Obviously, the theoretical research becomes detailed. It’s because gas bearing is widely used in various systems, such as spacecraft [
10], satellite tests [
11], turbomachine [
12], medical equipment [
13], computer memory devices [
14], and precision machine tools [
15], by different institutions and companies. NASA has applied gas bearing widely in the aerospace field [
16], for example, Dellacorte studied design and performance of gas foil bearing [
17] and applied them to the turbine engine [
18], while Demag in Germany and Nakanishi in Japan have applied gas bearings to spindles and introduced typical products.
In gas bearings’ application, the working medium and the system based on the bearings become diverse [
19]. In recent years, a closedcycle compression system with gas bearing has become popular [
20]. Marsh et al. [
21] conducted experiments to compare the influence of lubrication mixed with different ingredients (helium, neon, argon, etc.) on gas bearings’ stiffness and the rotors’ vibration. Briggs et al. [
22] compared power loss with helium, nitrogen, and carbon dioxide from atmospheric pressure to 4.83 MPa and at shaft speeds from 10 kr/min to 42 kr/min. Conboy et al. [
23] created a model that considered the real gas effect to predict the pressure field in a thrust bearing lubricated by high pressure carbon dioxide in a closedcycle, supercritical carbon dioxide turbine. Schiffmann designed a thermally driven heat pump with gas bearing based on the combination of a heat pump cycle and an organic Rankine cycle [
24], and investigated the effect of the occurrence of condensation in the gas film near saturation conditions [
25]. Obviously, it is a research hotspot that applying gas bearings with working mediums other than air in the closedcycle compression system, but few papers focus on the gas bearing with Freon, which is one of points in this paper.
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The closedcycle compression system with gas bearings reduces complexity. However, another potential problem arises—that the gas bearing is unable to withstand the load without an extended air compressor—which is referred to as a startup problem [
26]. Using an aerodynamic gas bearing to support the rotor is one solution to this problem [
27]. However, there is still friction between the gas bearings and rotors during the startup process [
28], which makes the problem severe if the system needs to be started and stopped frequently.
Therefore, to solve this problem, this paper proposes a new method to startup a closedcycle compression system with aerostatic gas bearings. Then, a mathematical model is established to simulate the characteristics found during the startup process, and a test bench is built to verify the simulation.
2 Startup Method
An ordinary system with gas bearings is shown in Figure
1(a). The system consists of a shaft, compressor, several journal gas bearings (JGB) and thrust gas bearings (TGB), an external air compressor, an air filter, and valves. The gas bearings’ supply and exhaust streams constitute an opencycle that is independent of the main gas stream. The external air compressor provides the highpressure gas that is supplied to the gas bearings. Therefore, the gas bearings can withstand the rotor’s loads in the system during the startup process. However, the external air compressor increases the system’s quality, but its complexity as well.
×
Figure
1(b) shows a closedcycle compression system with gas bearings. Compared to the ordinary system with gas bearings, it decreases the external air compressor. After flowing through the compressor, the working medium becomes a highpressure gas that can supply pressure for the gas bearings. Thus, a part of the pressurized gas is separated to supply the gas bearings so they can withstand the loads of the rotors in the system after flowing through the gas filter and valve. This portion of gas becomes a lowpressure gas after it flows through the gas bearings, and then it is collected and flows into the main stream for the next cycle.
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This structure simplifies the system’s composition. However, because of the rotor’s low rotational speed and the compressor’s low pressure ratio, the gas bearings that the gas supplies through the compressor are insufficient to withstand the rotor’s loads. This causes dry friction between the rotor and gas bearings that affects the gas bearing’s life.
The new startup method of a closedcycle compression system with aerostatic gas bearings is shown in Figure
1(c). An aerostatic gas bearing is chosen to support the rotor in this system. Moreover, a gas tank and a check valve are added compared to the previous system. The check valve is placed in front of the gas filter to prevent the highpressure gas in the gas tank from flowing back during the startup and stopping process. The gas tank is placed between the gas filter and the valve, which stores the pressurized gas to supply the rotor during the startup process until the system is operating normally.
The system’s specific startup process is as follows.
Open the valve in the system after the gas tank and start the rotor until the gas bearings operate. The pressure of the gas in the gas tank decreases, while the rotor’s rotational speed increases. Because of that phenomenon, the compressor’s pressure ratio increases as the rotor’s rotational speed increases; the pressurized gas flowing through the compressor will have higher pressure than the gas in the gas tank after the rotational speed exceeds a certain speed. After flowing through the check valve and the gas filter, a part of the pressurized gas is separated to supplement the gas in the gas tank. Once the rotational speed reaches the rated speed, the compressor’s pressure ratio becomes stable, and the startup process ends until the pressure of the gas in the gas tank is stable.
When the system works normally, the gas supplied to the gas bearings is still separated from the pressurized gas through the compressor, and flows through the gas tank first, compared to the previous system. At this time, the gas tank also serves as a pressure regulator, which enhances the pressurized gas’s pressure stability and increases the gas bearings’ life.
3 Mathematical Model and Test Bench
3.1 Modeling Assumptions
Although this startup system is simpler, it still is too complex to model. Simplifications and assumptions related to the model are applied as follows:
(1)
Ignore the pressure loss attributable to the gas tank’s shape.
(2)
Fix the radial and axial loads, while ignoring the change of loads as the rotational speed changes.
(3)
Assume that the rotor is a rigid body.
(4)
Ignore the rotational speed’s influence on the gas bearings’ characteristics.
(5)
Assume the pressure loss between the gas tank and air bearing is a fixed loss coefficient,
λ.
(6)
Assume that the gas bearings’ supply pressure is equal.
(7)
No supplement from the compressor to the gas tank, and compare only the start time and the bearing’s working duration.
3.2 Model Overall
Based on the simplifications and assumptions above, the excess parts can be removed, and the remainder of the system can be separated into five parts: the rotor, gas tank, front journal gas bearing, rear journal gas bearing, and a pair of thrust gas bearings, which constitute the mathematical model. The simplified system is shown in Figure
2(a).
×
Because of the similarity of the method used to model the journal and thrust gas bearing, they are combined in the analysis. Under the assumptions in Section
3.1, only the rotor’s gravity is considered in the model. As shown in Figure
2(b), the mathematical model overall can be divided into the following two main subcomponents: the gas tank model and the gas bearing model. The two subcomponents interact with each other by core parameters: the gas tank model outputs the gas pressure and temperature, and the pipeline’s pressure loss coefficient as the inputs of the gas bearing model; the gas bearing model outputs each gas bearing’s mass flow rate as the input of the gas tank model. The initial inputs of the model overall are the gas tank volume, the gas pressure and temperature, and the mass in the gas tank.
The specific relation between the gas tank model outputs and the gas bearings model’s corresponding parameters is as follows:
$$p_{2} = p_{3} = p_{4} = p_{1} \cdot \lambda ,$$
(1)
$$T_{2} = T_{3} = T_{4} = T_{1} .$$
(2)
Similarly, the equation for the gas bearing model’s outputs and the corresponding parameters is as follows:
$$\dot{m}_{1} = \dot{m}_{2} + \dot{m}_{3} + \dot{m}_{4} .$$
(3)
The initial inputs of the startup model include time step, gas tank volume, radial and axial loads, initial gas pressure and temperature, and initial mass in the gas tank. Among these parameters, gas tank volume, and radial and axial loads are set as the arguments; initial mass in the gas tank can be calculated by the gas tank volume and the initial gas pressure and temperature; others are set as shown as Table
1.
Table 1
Initial inputs of the startup model
Parameter

Value


Time step
dt (s)

0.1

Initial gas pressure
\(p_{1}^{0}\) (MPa)

0.6

Initial gas temperature
\(T_{1}^{0}\) (K)

300

The startup time allowable is defined to measure the bearing working duration. Further, the allowable startup time’s definition is the time from which the simulation of the startup process begins until the point when the eccentricity of any gas bearing reaches 0.9, with the assumption that the compressor does not supplement the startup process. Then, the rotor’s start time and the startup time allowable are compared to evaluate the startup method’ feasibility.
3.3 Gas Tank
Under the assumption in Section
3.1, a zerodimensional model can be established to simulate the gas tank. The core parameters of the gas tank include its volume, gas pressure and temperature, and the mass in the gas tank, as well as the gas tank’s mass flow rate. The governing equation can be written as follows:
where
\(\Delta m_{ 1}\) represents the mass change in the gas tank in one time step,
q represents the heating power to the gas tank,
\(u_{1}\) represents the internal energy of gas in the gas tank,
\(h_{1}\) represents the gas enthalpy, and the working medium is assumed to be the ideal gas.
$$\Delta m_{1} = m_{1} \cdot dt,$$
(4)
$$q \cdot dt = \Delta \left( {m_{1} \cdot u_{1} } \right)  \Delta m_{ 1} \cdot h_{1} ,$$
(5)
$$p_{ 1} V_{1} = m_{1} R_{g} T_{1} ,$$
(6)
The iterative equations used to solve the gas pressure and temperature and the mass can be obtained with Eqs. (
4)‒(
6), as follows:
where
\(\phi^{n}\) represents the parameter in the
nth time step, and
q is assumed as the constant.
$$p_{1}^{n + 1} { = }\frac{{m_{ 1}^{n + 1} \cdot R_{g} \cdot T_{1}^{n + 1} }}{{V_{1} }},$$
(7)
$$T_{1}^{n + 1} { = }T_{1}^{n} { + }\frac{q \cdot dt}{{m_{ 1}^{n + 1} \cdot c_{v} }}  \frac{{\dot{m}_{1}^{n} \cdot dt \cdot R_{g} \cdot T_{1}^{n} }}{{m_{ 1}^{n + 1} \cdot c_{v} }},$$
(8)
$$m_{1}^{n + 1} = m_{1}^{n} + \dot{m}_{1}^{n} \cdot dt,$$
(9)
However, if
\(q{ = 0}\)(the gas tank is nonheating), Eq. (
8) can be simplified as follows:
$$T_{1}^{n + 1} { = }T_{1}^{n}  \frac{{\dot{m}_{1}^{n} \cdot dt \cdot R_{g} \cdot T_{1}^{n} }}{{m_{ 1}^{n + 1} \cdot c_{v} }}.$$
(10)
3.4 Gas Bearings
The gas bearing model is based largely on the mapping between the working condition and the bearing capacity, where the working condition includes supply pressure and eccentricity, and the bearing capacity includes load capacity and mass flow rate. Therefore, the gas bearing model can be established as an empirical model.
Using the journal bearing as an example, the mapping between the working condition and the bearing capacity can be expressed as follows:
$$W = f\left( {p,\varepsilon } \right),$$
(11)
$$\dot{m} = f\left( {p,\varepsilon } \right).$$
(12)
However, the gas bearing model’s inputs are the supply pressure in the
nth time step, which is written as
\(p^{n}\), and the radial load. With known
\(p^{n}\), Eq. (
11) can be written as follows:
where
\(g^{n} (x)\) represents the mapping between the known radial load and the unknown eccentricity in the
n
^{th} time step when the supply pressure is
\(p^{n}\), and the
\(W_{r}^{n}\) is known.
$$\varepsilon^{n} = g^{n} \left( {W_{r}^{n} } \right),$$
(13)
The eccentricity,
\(\varepsilon^{n}\), and mass flow rate,
\(\dot{m}^{n}\), are obtained by combining Eqs. (
12) and (
13).
The thrust bearing’s modeling method is similar to that of the journal bearing. However, the thrust bearing always is designed in pairs in the system, such that the total bearing capacity is the sum of each singlesided thrust bearing’s capacity. The relation of the clearance between each singlesided thrust bearing’s bearing surfaces can be expressed as follows:
where
h
_{31} and
h
_{32}, respectively, represent the clearance between each singlesided thrust bearing’s bearing surfaces.
$$h_{31} + h_{32} = 50\;\upmu{\text{m,}}$$
(14)
Nowadays, the CFD has become a popular tool to investigate the static [
29,
30] and dynamic [
31] performance, and to optimize the structure [
32,
33]. Thus, to obtain the gas bearing empirical model, Fluent is employed to simulate the gas bearings, and the threedimensional models of the flow filed are developed. In the simulations, the gas is considered compressible. The air is assumed to obey ideal gas law, but R134a is assumed to obey real gas law. The gas flow is assumed to be laminar and in the isothermal flow condition. The supply temperature is set as 300 K.
The schematic diagram of the journal gas bearing is shown in Figure
3(a); journal gas bearings’ core geometry parameters include bearing diameter and length, feed orifice diameter and length, the orifices’ distance from the end of bearings, their number per row, and mean radial clearance. The accurate values of these parameters are shown in Table
2, which are set equal to those recorded during experimental tests. A refined structured mesh is applied close to the feed orifices and gas film, as shown in Figure
4(b). Considering the precision and computing time, there are 280,000 hexahedral cells in the mesh. Upstream of the flow is assumed to have constant gauge pressure equal to the feed orifices inlets’ supply pressure; downstream of the flow is set at atmospheric pressure. The supply pressure and the eccentricity are the arguments of the simulation model of journal gas bearing, and their ranges are 0.2 MPa to 0.7 MPa and 0.1 to 0.9, respectively.
Table 2
Journal gas bearing parameters
Parameter

Value


Bearing diameter
D (mm)

28

Bearing length
L (mm)

28

Feed orifice length
\(l_{0}\) (mm)

1.5

Feed orifice diameter
\(d_{0}\) (mm)

0.6

Feed orifices’ distance from end of bearings
l (mm)

7

Feed orifice number per row
N

8

Mean radial clearance
\(h_{0}\) (μm)

25

×
×
The schematic diagram of the thrust gas bearing is shown in Figure
4(a). The bearing shown in the figure is annular and singlesided, so the thrust gas bearings’ core geometry parameters include its interior and exterior diameter, feed orifice length and diameter, clearance between bearing surfaces, diameter of the feed orifices’ ring, and feed orifice number. The accurate value of these parameters is shown in Table
3, which also are set equal to those recorded during experimental tests. A refined structured mesh is applied close to feed orifices and gas film, as shown in Figure
5(b). Considering the precision and computing time, there are 330000 hexahedral cells in the mesh. Upstream of the flow is assumed to have constant gauge pressure equal to the feed orifices inlets’ supply pressure; downstream of the flow is set at atmospheric pressure. Moreover, the clearance between bearing surfaces, whose symbol is
h, is the argument of the simulation model of the thrust gas bearings, and its range is 2.5 μm to 47.5 μm. Another argument is the supply pressure, which ranges from 0.2 MPa to 0.7 MPa.
Table 3
Thrust gas bearing parameters
Parameter

Value


Bearing interior diameter
\(D_{ 1}\) (mm)

29

Bearing exterior diameter
\(D_{ 2}\) (mm)

65

Feed orifice length
\(l_{0}\) (mm)

1.5

Feed orifice diameter
\(d_{0}\) (mm)

0.6

Diameter of ring of feed orifices
\(D_{\text{m}}\) (mm)

45

Feed orifice number
N

8

×
To verify the correctness of gas bearings’ simulation, a singleorifice thrust gas bearing, with the same geometry as that investigated in Ref. [
5], is also evaluated using the Fluent. As shown in Figure
5(a), the core parameters includes bearing diameter
D equal to 40 mm, feed orifice length
\(l_{0}\) equal to 0.3 mm, feed orifice diameter
\(d_{0}\) equal to 0.2 mm, the clearance between bearing surfaces
h equal to 14 μm. Figure
5(b) shows the comparison of the pressure distribution along the gas film between the numerical and experimental results with a gauge supply pressure equal to 0.5 MPa and Figure
5(c) shows the comparison of the pressure distribution close to feed orifice with same boundary. Numerical results show a good agreement with the experimental ones, and the error is mainly caused by the sharp edge between the wall of the feed orifice and the bearing surface in numerical model, while experimental thrust bearings have a fillet or a chamfer between the wall of the feed orifice and the bearing surface, which was investigated by Belforte in Ref. [
34].
3.5 Test Bench
As shown in Figure
6, the working medium is air, and the air compressor supplies the pressurized air. The pressurized air is divided into two parts, one of which is connected to the gas tank to supply the pressurized air, while the other is connected to the turbine, which drives the rotor. Before the experiment, the air compressor supplements the air to the gas tank until the gas pressure reaches the initial pressure. At the beginning of the experiment, we open the valve connecting the gas tank and the gas bearings to allow the gas bearings to operate. After ensuring they are working, the valve connected to the turbine is opened to drive the rotor at a low speed to protect the gas bearing.
×
Figure
6(b) shows the structure scheme of the test bench. The gas pressure in the gas tank and the supply pressure of gas bearings are measured by four pressure sensors with ranges of 0‒1 MPa. The gas temperature in the tank is measured by a temperature sensor with ranges of 0‒100 °C. Three eddy current displacement sensors with a range of 500 μm are applied to measure the axial and radial displacement of the rotor.
The gas tank’s mass flow rate and journal bearings’ radial eccentricity are measured indirectly. The gas pressure and gas temperature in the gas tank are measured directly, then gas density in the gas tank can be obtained. And the mass in the gas tank can be obtain, cause the gas tank volume is constant. Finally, the gas tank’s mass flow rate will be calculated by Eq. (
15):
$$\dot{m}^{n} = \frac{{m_{1}^{n + 1}  m_{1}^{n} }}{dt} = \frac{{\frac{{p_{1}^{n + 1} }}{{RT_{1}^{n + 1} }}V_{1}^{n + 1}  \frac{{p_{1}^{n} }}{{RT_{1}^{n} }}V_{1}^{n} }}{dt}.$$
(15)
The journal bearings’ radial displacement
\(\Delta x\) is measured directly. Then, the journal bearings’ radial eccentricity can be calculated by Eq. (
16):
$$\varepsilon = 1  \frac{\Delta x}{{h_{0} }}.$$
(16)
4 Results and Analysis
4.1 Gas Bearing Simulation Results
4.1.1 Journal Gas Bearing
The journal bearing’s bearing capacity can be obtained by fixing the geometric parameters and then changing the supply pressure and eccentricity.
Figure
7 shows the journal gas bearing’s simulation results under different supply pressures and eccentricities when the working mediums are air and R134a, respectively.
×
Figure
7(a) and (b) show the load capacity under different operating conditions, which shows that the designed journal bearing’s load capacity is similar under different working mediums. It can be determined that the load capacity varies nonlinearly with the eccentricity when the supply pressure is constant. At a deep level, when
\(\varepsilon \ge 0. 8\), the load capacity nearly always increases slightly.
Figure
7(c) and (d) show the mass flow rate under different working conditions. It can be seen that the eccentricity has little influence on the mass flow rate, while the supply pressure is the key factor that influences the rate. Moreover, the mass flow rate under R134a is twice as fast as under air.
4.1.2 Thrust Gas Bearing
The singlesided thrust bearing’s bearing capacity can be obtained by fixing the geometric parameters, except the clearance between the thrust bearing surfaces, and then changing the supply pressure and the clearance.
Figure
8 shows the singlesided thrust bearing’s load capacity and mass flow rate, respectively, under different working conditions. However, the form expressed for the singlesided thrust bearing’s capacity differs from that expressed for the journal bearing’s capacity, which needs to be processed to obtain the unified form.
×
As Section
3.4 reports, singlesided thrust bearings always are designed in pairs, and the clearance between each bearing’s bearing surfaces can be described as Eq. (
14). Thus, we define the thrust bearing’s eccentricity analogous to that of the journal bearing. The definition of the thrust bearing’s eccentricity can be expressed as follows:
$$\varepsilon = \frac{{\left {h_{31}  h_{32} } \right}}{{h_{31} + h_{32} }}.$$
(17)
Figure
9 shows the thrust bearing’s load capacity and mass flow rate, respectively, under different working conditions after processing, which have the unified form and similar performance as do the diagrams showing the journal bearings’ capacity.
×
4.1.3 Influence of the Supply Temperature
Having defined the supply pressure at 0.3 MPa, the journal gas bearing’s eccentricity at 0.5, and the clearance between the thrust gas bearing surfaces at 15 μm, further simulations are carried out with a series of varying supply temperature in a range from 280 K to 300 K to analyze the relation between the gas bearings’ performance and supply temperature.
Figure
10 shows supply temperature’s influences on the gas bearings’ load capacity and mass flow rate. It can be seen that the two are nearly independent of the supply temperature, which indicates that it is unnecessary to set gas bearings’ performances as a function of supply temperature. Thus, it is possible to use the gas bearings’ performances shown in Sections
4.1.1 and
4.1.2 to predict the model’s performance overall, and the error of mass flow rate will be less than 7.9%, while the error of load capacity will be less than 5.2%.
×
4.2 Results of StartUp Model
4.2.1 Gas Tank Volume
The gas tank volume is the key factor that affects the startup method’s feasibility. A gas tank that is too small will cause a rapid reduction in the supply pressure, which results in insufficiency of the bearings’ load capacity, abrasion between the rotor and bearings, failure of the startup process, and decreased bearing life. At the same time, while a gas tank that is too large can be used for the startup process, it affects the working efficiency of other system components.
Fixing the radial load as
\(W_{\text{r}} = 50\;{\text{N}}\), which indicates that the radial load on each journal gas bearing is 25 N, and the axial load as
\(W_{\text{a}} = 150\;{\text{N}}\), the system’s performance under different working mediums during the startup process can be examined.
Figure
11 shows gas pressure changes in the gas tank during the startup process. It can be seen that the gas tank volume is approximately directly proportional to the startup time allowable, which proves that increasing the gas tank volume is an effective way to enhance the startup method’s feasibility.
×
Comparing Figure
11 (a) and (b), it can be seen that the startup time allowable under R134a is longer than that under air. Under the same supply pressure level, the gas bearings’ mass flow rate under R134a is greater than that under air, and their proportionality constant is approximately 2:1. However, R134a’s density is three times that of air, so the gas tank can store more R134a than air. This indicates that the percentage of mass flow rate and mass in the gas tank are smaller under the same initial pressure when the working medium is R134a.
Figure
12 shows each gas bearing’s eccentricity during the startup process. The dotted lines in the figure represent thrust gas bearings’ eccentricity, while the solid lines represent that of journal gas bearings. It can be seen that the journal gas bearing performs better than does the thrust gas bearing in two ways: the thrust gas bearing’s eccentricity reaches 0.9 in every working condition, and its initial eccentricity is higher than that of the journal gas bearing.
×
The first explanation for the result is that the singlesided thrust bearings affect each other when they are designed in pairs, which leads to the load capacity loss and bidirectional axial load capacity. However, the journal bearings share the radial load, which increases the load capacity. The second explanation for the result is that the axial load is greater than the radial load. Moreover, the axial load is selected as the compressor’s axial force under the rated working condition, which is larger than the actual axial load.
Comparing Figure
12(a) and (b), it can be seen that each gas bearing’s initial eccentricity is higher under R134a. This indicates that a gas bearing’s load capacity under air is greater than under R134a at a low eccentricity, which is also shown in Figure
9. As the gas pressure in the gas tank decreases, the eccentricities become higher, and the gas bearings’ load capacities under R134a gradually become greater than those under air, which increases the startup time allowable.
To evaluate the startup method’s feasibility, the rotors’ start time should be compared with the startup time allowable.
Assume that the motor drives the system. Then, the rotors’ start time is the same as that of the motor. The motor’s start time can be calculated with the following equation:
where
n represents the motor’s rated speed, the unit of which is r/min,
J represents the rotor’s moment of inertia, the unit of which is
\({\text{kg}} \cdot {\text{m}}^{2}\), and
Tar represents the motor’s average starting torque, the unit of which is
\({\text{N}} \cdot {\text{m}}.\)
$$t = \frac{{n{\uppi}J}}{3 0Tar},$$
(18)
The accurate values of these parameters are determined as the motor itself is designed, and are shown as Table
4.
Table 4
Motor parameters
Parameter

Value


Motor’s rated speed
n (r/min)

80000

Rotor’s moment of inertia
J (kg·m
^{2})

\(3.6787 \times 10^{  4}\)

Motor’s rated torque
T (N·m)

0.42

Motor’s average starting torque
Tar (N·m)

\(k \cdot 0. 4 2,\;k \le 2.2\)

Combine Table
4 and Eq. (
18), we obtain:
\(3.34 \le t \le 7.34\). Thus, the startup time allowable must be greater than this value to guarantee the startup method’s feasibility. After comparison, it can be shown that the gas tank volume must be greater than 5 L under air, which affects other components little, while its volume must be greater than 2.5 L under R134a.
4.2.2 Radial and Axial Load
Section
4.2.1 indicates that the axial load causes the thrust gas bearing’s eccentricity to reach 0.9 first, when
\(W_{\text{r}} = 50\;{\text{N,}}\) and
\(W_{\text{a}} = 150\;{\text{N}} .\) This indicates that the appropriate increase of radial load may not influence the startup method’s feasibility. Therefore, we should fix the gas tank volume as
V = 5 L and axial load as
\(W_{\text{a}} = 150\;{\text{N}}\) to set the radial load as an argument to study the radial load’s influence.
Figure
13(a) shows the gas pressure in the gas tank under different radial loads. The change in radial loads affects the change in gas pressure only slightly. However, when the radial load exceeds a critical value, the increased radial load causes the allowable startup time to decrease. The explanation of this phenomenon is shown in Figure
13(b).
×
Figure
13(b) shows the journal gas bearing’s eccentricity under different radial loads. The thrust gas bearing’s eccentricities are not shown, because they are the same as those shown in Figure
12(b). As the radial load increases, the journal gas bearing’s eccentricity increases in every time step, and the thrust gas bearing’s eccentricity reach 0.9 first when
\(W_{\text{r}} \le 80\;{\text{N}}\). However, when
\(W_{\text{r}} { > 8}0\;{\text{N}}\), the journal gas bearing’s eccentricity will reach 0.9 first; therefore, the journal gas bearing becomes the key component of the startup method. In addition, it can be seen that the journal gas bearing’s eccentricity increases rapidly when it is above 0.7, which is caused by a small increase in the load capacity. Accordingly, the journal gas bearing’s eccentricity should be set below 0.7 by adjusting other components in the gas bearing system design.
Analogously, we fix the gas tank volume as
V = 5 L and radial load as
\(W_{\text{r}} = 50\;{\text{N}}\) to set the axial load as an argument to determine the axial load’s influence.
Figure
14(a) shows the gas pressure in the gas tank under different axial loads. It also can be seen that a small axial load affects the startup process little, while a large axial load decreases the startup time allowable.
×
Figure
14(b) shows the thrust gas bearing’s eccentricity under different axial loads. The journal gas bearing’s eccentricities reach 0.9 first when
\(W_{\text{a}} \le 70\;{\text{N}}\), while the thrust gas bearing’s eccentricities will reach 0.9 first when
\(W_{\text{a}} > 70\;{\text{N}}\).
The analysis of the radial and axial loads’ influence will become one of the guidelines in designing the gas bearings and radial and axial loads.
4.3 Experimental Results
The gas tank volume is 5 L, and the rotor’s quality is approximately 5 kg, which is identical to the simulation conditions.
Figure
15(a) shows a comparison of the gas pressure in the gas tank between the experiment and simulation. It can be seen that the experimental gas pressure is higher than that in the simulation. That indicates that the experimental startup time allowable is longer than that of the simulation. However, the largest error between the experimental and numerical gas pressure is 6.1%, which is small enough to prove that the simulation of the startup method can match the true situation.
×
Figure
15(b) shows the comparison of the gas tank’s mass flow rate between the experiment and the simulation. The experimental mass flow rate matches the numerical rate well, with the exception of the initial flow rate, the error of which is 8.9%.
Figure
15(c) shows the comparison of journal bearings’ radial eccentricity between the experiment and the simulation. It can be seen that the change of experimental radial eccentricity is similar with the numerical. The error mainly comes from three factors: numerical error of gas bearing discussed in Section
3.4, pipeline’s pressure loss and the error of gas pressure in the gas tank. All gas bearing in the test bench have a fillet or chamfer between their feed orifice’s wall and bearing surface, instead of an ideal sharp edge, which causes the numerical error. At the beginning of the experiment, the gas tank’s mass flow rate is large, and the pipeline’s pressure loss is larger than the calculated, which results that the experimental journal bearings’ radial eccentricity larger than the calculated. After the 5th second, the experimental gas pressure in the gas tank is higher than the calculated, as shown in Figure
15(a), which results that the experimental journal bearings’ radial eccentricity smaller than the calculated. Nevertheless, the experimental radial eccentricity over time agrees well with the numerical result.
5 Conclusions
In this paper, we address the previous startup methods and existing problems of closedcycle compression systems with gas bearings. To solve those problems, we propose a new startup method that involves the same system, but with aerostatic gas bearings, which reduces the system’s complexity and increases the bearings’ life.
Then, we model the new startup method and simulate a specific example with accurate values to analyze the startup method’s feasibility and the characteristics during the startup process. The gas tank volume is approximately directly proportional to the startup time allowable. When the other parameter is determined, the model can predict a sufficiently small gas tank, which not only ensures the feasibility of startup, but also affects other components only minutely.
The radial and axial loads also influence the characteristics during the startup process. When one of them is fixed, the model can predict the largest possible size of the other, which makes the startup time allowable as long as possible, such that the model can predict a perfect combination of radial and axial loads.
The working medium is another factor that influences characteristics during the startup process. R134a is more suitable as the working medium of the system analyzed, because the startup time allowable under R134a is longer than that under air. The model also can distinguish the best working medium from among the alternatives.
Further, the test bench is built to verify the simulation. The experimental results agree strongly with numerical results, and the experimental startup time allowable is slightly longer than the numerical one, which indicates that the numerical predictions may not need to be amended as a safety factor.
However, the model requires predicting the stability and unbalanced response of gas bearings during the startup process, on which our future research will focus.
Acknowledgements
Not applicable.
Competing Interests
The authors declare no competing financial interests.
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