Modeling, Simulation and Monitoring of Electrical Contacts Temperature in Railway Electric Traction
Abstract
:1. Introduction
2. Mathematic Determination θ of Electrical Contact Temperature
2.1. General Equation of Current Paths Temperature Evolution
2.2. Temperature Evolution Determination of Conductive Paths with Different Cross-Sections
2.3. Electrical Contacts Temperature Evolution Determination
2.3.1. Contact Resistance General Aspects
2.3.2. Modelling Electrical Contacts Permanent Heating Regime
3. Experimental Results and Discussion
3.1. Case study Premises-Experimental Setup
- Connection by means of a steel connecting conductor. Its length is also 0.65 [m], but for this case the cross section is 78 [mm2]. The copper slippers at the ends of the connecting conductor have a diameter of d1 = 10 mm, and the diameter d2 = 12 mm, from Figure 7
- Connection by means of two connecting conductors made of steel. The dimensions of the conductors and slippers are the same as those defined for the second case
- Connection by means of two connecting conductors made of steel, having the particularity that one of the connecting conductors is not connected to the end from the railway rail. The dimensions for the connecting conductors and slippers are the same as those defined for the second case.
3.2. Performing the Simulation of Temperature Evolution
- The preliminary settings selection: is achieved by choosing the way of defining the working conditions, the spatial dimension in which the study is intended to be carried out and the physical processes that are to be analyzed
- Definition of parameters and variables—for the analysis of the connecting conductors’ temperature evolution with different connection modes where defined parameters and variables for the 4 cases which were considered
- Geometric shape realization at scale by corresponding to each studied component. The computer program used allows the deactivation of some geometrical elements, thus being able to ignore certain parts of the structure of the studied components, Figure 9
- Definition of material parameters. The simulation software environment has a library of materials that includes the vast majority of materials used in electrical engineering, but also allows the definition of new materials. Table 5 is centralizing the considered material properties.
- Definition of boundary conditions. At this stage, the boundary conditions between the structural elements of the models and the environment in which they are located are established. For the connection modes of the impedance bond terminal and the current conductive path, border conditions have been defined for the electrical, thermal and mechanical properties. In order to maintain fixed positions of some constructive part of the models, throughout the simulation, the mechanical properties at their borders were defined. In order to obtain a convergent solution for the simulation were necessary to be de-fined fixed constrain for both ends of the models. Next, the border electrical properties, at the level of the contact surfaces, for an alternating current with a frequency of 50 Hz, having the value of 100 A, were defined. According to the electrical parameters defined, in the simulation, were considered as thermal input the power density. The border conditions for the thermal properties defined for the analyzed cases consisted in defining the surfaces that yield the heat flow, respectively those that are thermally insulated and declaring the value of the ambient temperature. In the case of thermal contact, the definition of the boundary conditions has been declared on the contact surfaces as in the case of electrical ones, adopting the sphere model. These border conditions cannot be fully in accordance with the system that is intended to be simulated, then approximations of the simulated models are required.
- Discretization of the model structural elements. The analysis of a models (as illustrated in Figure 9d,e) assumes a structure that can be divided into more or fewer nodes and elementary volumes. Vertices represent connecting points that maintain infinitesimal volumes in a unitary whole. For high precision, it is necessary to make it as smooth as possible, but this will make it difficult to achieve a convergence solution. For the proposed models was used “Free Tetrahedral” mesh type, which used 2,965,219 number of element (plus 95,042 internal DOFs). Thus, depending on the type of problem and the field of analysis, the most appropriate method of discretization must be defined in terms of the resources available. For several types of finite elements, at the border between them, continuity must be ensured, therefore, the transition from an area with fine discretization to one with less fine discretization, must be done progressively, not suddenly.
- Compilation of the model. At this stage, the effective numerical solution of the defined model will be achieved. The convergence of the solution is influenced by the size and number of finite elements, as well as the type of discretization chosen. The greater the number of infinitesimal elements, the closer the result gets to the real solution.
- Processing and interpretation of results. This last stage represents the phase of centralization of the results in tabular or graphic form. Thus, at this stage, it is possible to adjust the display of the results according to the ranges of interest, and it is also allowed to evaluate and comment on them.
3.2.1. Case 1
3.2.2. Case 2
3.2.3. Case 3
3.2.4. Case 4
3.3. Monitoring of the Temperature Evolution by Means of Infrared Investigation
- Emissivity index: this parameter was set to the value of 0.95 corresponding to the emissivity of the conductor’s cables electric insulation
- Reflected temperature: set equal to the ambient temperature, 20 [°C]
- Relative air humidity: the value measured in the laboratory at the time of the experiment was 55%
- The distance from the camera lens to the investigated connection was 1 m
- The temperature range was selected between −30 ÷ 160 [°C]
- The temperature evolution for each of the four connection modes between the impedance bond terminal and the railway rail were monitored for 3600 s by transiting a current of 100 A, in order to validate the simulation models presented in previous section
3.3.1. Case 1 and 2
3.3.2. Case 3
3.3.3. Case 4
4. Conclusions
- a copper connecting conductor with a cross section of 50 [mm2] (case 1)
- a steel connecting conductor with a cross-section of 78 [mm2] (case 2)
- two steel connecting conductors, each with a cross-section of 78 [mm2] (case 3)
- two steel connecting conductors having the particularity that one of the connecting conductors is not connected at one end (case 4)
- higher temperatures in the contact area than those obtained on the connecting conductor surface, in the first case considered
- for the connection modes considered in cases 2, 3 and 4, the temperatures in the contact area are lower compared to those on the surface of the steel connecting conductors
- the surface temperatures distribution of the conductive path differs for the four analyzed cases
- more pronounced thermal stress for the second mode of connection compared to the others
5. Patents
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Mathematical Parameters | Researchers | Application |
---|---|---|
Heat transfer coefficient, thermal conductivity | Stasiek, J. [12] | Passive and forced convection heat transfer |
Velocity, temperature | Aly, E. H. [13] | Hybrid nanofluid over a nonlinearly stretching surface |
Mobility, free energy | Zipunova, E. [14] | Codimension of the diffuse inclusion |
Concentrated heat, energy | Kim, H. [15] | Optics and heat transfer of solar reactor |
Deflection, radius of Mohr’s circle | Ramadan, A. N. [16] | Additional stresses in railway track elements |
Current density, power loss | Song, W. [17] | AC loss calculation on traction transformer |
Viscous dissipation, convection heat transfer coefficient | Roy, P. [18] | Algorithm for effective design and performance investigation of active cooling system |
Flux linkage, inductance variation, current vector angle | Li, S. [19] | Temperature effects on performance of interior permanent magnet machines |
Probability estimation, risk assessment | Feng, D. [20] | Failure risk interval estimation of traction power supply equipment |
Impedance, temperature | Muñoz-Condes, P. [21] | Impedance measurement for traction batteries |
Contact Material | Approximation Function Coefficients | ||
---|---|---|---|
c | m | e | |
Silver | 0.842 × 10−4 | 0.6 | 2.25 × 10−4 |
Non-oxidized copper | 0.935 × 10−4 | 0.6 | 2.48 × 10−4 |
Aluminum | 1.342 × 10−4 | 0.6 | 1.35 × 10−4 |
Synthesized with Cu-W | 1.972 × 10−4 | 0.6 | 12.60 × 10−4 |
Tinned copper | 0.596 × 10−4 | 0.6 | 0.225 × 10−4 |
Silvered copper | 0.918 × 10−4 | 0.6 | 2.25 × 10−4 |
Contact Type | |
---|---|
Contact sheet type, copper and its alloys | 70 |
Copper and alloys contacts for switches | 90 |
Massive contacts, sliding and frontal, copper and its alloys | 110 |
Massive, sliding or frontal, with silver plates (glued or welded) | 120 |
Contacts of fuses | 120 |
Parameter | Case 1 | Case 2 | Case 3 | Case 4 |
---|---|---|---|---|
ϑp [°C] | 7.90 | 17.30 | 11.10 | 16.10 |
ϑ [°C], at 3600 s | 7.71 | 16.48 | 9.66 | 15.33 |
[°C] | 27.85 | 37.25 | 31.06 | 36.06 |
T [s] | 962 | 1180 | 1760 | 1760 |
Material Parameter. | Copper Values | Steel Values |
---|---|---|
Electrical conductivity | 5.998 × 107 [S/m] | 7.407 × 105 [S/m] |
Coefficient of thermal expansion | 17 × 10−6 [1/K] | 7.06 × 10−6 [1/K] |
Heat capacity at constant pressure | 385 [J/(kg·K)] | 710 [J/(kg·K)] |
Relative permittivity | 1 | 1 |
Density | 8960 [kg/m3] | 4940 [kg/m3] |
Thermal conductivity | 400 [W/(m·K)] | 7.5 [W/(m·K)] |
Young’s modulus | 110 × 109 [Pa] | 105 × 109 [Pa] |
Poisson’s ratio | 0.35 | 0.33 |
Resistivity temperature coefficient | 0.0039 [1/K] | 0.0065 [1/K] |
Case Scenario | Connecting Modes | Rc [μΩ] |
---|---|---|
Case 1 | By means of a copper connecting conductor | 56.2 |
Case 2 | By means of a steel connecting conductor | 54.9 |
Case 3 and 4 | By means of two steel connecting conductor | 30.4 |
Temperature Method | Case 1 | Case 2 | Case 3 | Case 4 |
---|---|---|---|---|
[°C]—Simulation | 27.3 | 35 | 31.2 | 34.1 |
[°C]—Infrared | 27.9 | 36.1 | 31.1 | 33.9 |
Δθ [°C]—difference | 0.6 | 1.1 | −0.1 | −0.2 |
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Dragomir, A.; Adam, M.; Andrusca, M.; Grigoras, G.; Dragomir, M.; Ramakrishna, S. Modeling, Simulation and Monitoring of Electrical Contacts Temperature in Railway Electric Traction. Mathematics 2021, 9, 3191. https://doi.org/10.3390/math9243191
Dragomir A, Adam M, Andrusca M, Grigoras G, Dragomir M, Ramakrishna S. Modeling, Simulation and Monitoring of Electrical Contacts Temperature in Railway Electric Traction. Mathematics. 2021; 9(24):3191. https://doi.org/10.3390/math9243191
Chicago/Turabian StyleDragomir, Alin, Maricel Adam, Mihai Andrusca, Gheorghe Grigoras, Marian Dragomir, and Seeram Ramakrishna. 2021. "Modeling, Simulation and Monitoring of Electrical Contacts Temperature in Railway Electric Traction" Mathematics 9, no. 24: 3191. https://doi.org/10.3390/math9243191
APA StyleDragomir, A., Adam, M., Andrusca, M., Grigoras, G., Dragomir, M., & Ramakrishna, S. (2021). Modeling, Simulation and Monitoring of Electrical Contacts Temperature in Railway Electric Traction. Mathematics, 9(24), 3191. https://doi.org/10.3390/math9243191