Radiator Vibration Fatigue Analysis

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1. Introduction

The radiator is one of the most important components of automobile engine cooling system. It has significant influence on the dynamic, economic, reliability of the internal combustion engine, which requires the automotive radiator structure to have better thermal performance and higher structural strength. The radiator is the main component in a cooling package to remove heat from the engines of heavy-duty trucks. Looking at these challenges, an optimization pro- cess is compulsory to obtain the best design compromise among performance, size/shape and weight. This experience objective is to carry out the radiator fatigue damage, which is one of the major engineering structures and mechanical failures. Structure leads to the cycle of high cycle fatigue, and the failure load of the peak is often far less according to the estimate of the static fracture analysis “safe” load. Therefore, to carry out research on the fatigue design has important significance [2] .

Automotive radiator needs to bear the vibration of the engine excitation, and the vibration of the road. The fatigue vibration failure caused by structural vibration is often encountered during the using process of the radiator. To a certain extent, it affects the reliability of the radiator, so the research on the vibration fatigue performance of the radiator is particularly important.

2. Frequency Response Analysis Model Preparation

The finite element mesh used in the frequency response analysis is consistent with the mesh of the modal analysis. Because the enterprise vibration experimental platform is filled with water inside the radiator, the radiator has a certain hydraulic pressure. In addition, the rubber bushing stiffness of the frequency response analysis is the same as the bushing stiffness of the modal analysis.

The difference between the finite element model and the finite element model is the counterweight fan on the radiator outside, PSD excitation loading point is located in the structure of the center of gravity.

External fan counterweight process:

External fan counterweight process is as follows: First find the center of gravity of the external wind turbine, then use RBE2 to connect the four support points to the wind turbine center of gravity, the distribution of a mass unit in the center of the wind turbine is 3.6 kg. The counterweight is completed, the quality of the radiator assembly is 6.898 Kg, and it fulfill the requirements of the overall quality of the radiator.

Introduction to constrain and load profile:

In this part, we first find the center of gravity of the radiator assembly, and then use the RBE2 to connect the free end of the four spring elements to the center of gravity of the radiator assembly. The center node is fully constrained, in order to show the fixed, in addition to the acceleration of the excitation is also applied in the center of gravity. External fan of the radiator core position and load plus point as shown in Figure 1.

3. Frequency Response Analysis

The influence of water pressure is considered in the analysis of the frequency response of the pre-stress, and we apply a pre-stressing force of 0.17 Mpa for the analysis. The maximum stress of the pre-stressed frequency response of the unit load is shown in Figures 2-4.

The above image is the maximum stress cloud of the radiator fin part structure under the excitation of PSD. Observation shows that the test bench of X-direction maximum stress is 89.47 Mpa, the maximum stress is distributed in the middle part of the main plate near the water chamber. The maximum stress of Y direction is 40.78 Mpa, and it is located near the side of the main chip in the middle of the weld position. The maximum stress of the Z direction of the test bench is 10.92 Mpa, and it is located in the middle part of the main chip near the 041 water chamber.

The maximum stress of the frequency response analysis as shown in Figure 5 reflects the distribution of the stress peak value of the structure under the excitation of PSD. Due to the emphasis of this paper, the fatigue life of core under PSD

Figure 1. Fan-center of gravity and load point.

Figure 2. Radiator fin Z direction maximum stress cloud chart test bench.

Figure 3. Radiator fin Y direction maximum stress cloud chart test bench.

Figure 4. Radiator fin X direction maximum stress cloud chart test bench.

excitation is mainly concerned, therefore, the stress response of the structure is observed. The frequency response of the unit load is analyzed to provide the structural stress distribution for the following vibration fatigue analysis. Because

Figure 5. The displacement amplitude-frequency curve of X direction fan constraint the test bench.

the radiator upper and lower water chamber are in plastic, and it was unable to get the fatigue characteristics parameters of plastics materials, in this paper the vibration fatigue life of the plastic material is not calculated.

The results obtained from frequency response analysis have the stress, displacement, velocity and acceleration response of a node or element [6] [7] [8] . The frequency response of the unit load is analyzed to provide the stress distribution for the vibration fatigue analysis.

4. Radiator Vibration Fatigue Analysis Study

Load excitation signal can be divided into time domain load signal and frequency domain load signal, which can be used to describe the periodic load signal. However, it is very difficult to record random vibration loading process by using time domain load signal, but it is also very difficult to deal with the finite element. At this time, the frequency domain signal is used to record the random vibration load signal, and the power spectral density (PSD) function is used to describe the random load. For a complex finite element model of random vibration analysis, a frequency response analysis is much more convenient than a time domain transient dynamic analysis, because of a large amount of computation [9] .

A finite element analysis based on frequency domain can greatly simplify the calculation. Designers can now perform on the finite element model frequency response analysis, in order to obtain the transfer function between the input and the structural stress, then multiplied by the transfer function of the input power spectral density, to obtain spectral density stress. In this paper, the fatigue damage is calculated according to the stress power spectrum density.

4.1. Parametric Analysis of Stress Fatigue Characteristic Curve

1) Parameter analysis of S-N curve

The S-N curve is described by a power exponent function, which is presented in the logarithmic coordinate. The equation is, where SRI1 is the interpolation of Y and b1 is the slope. The curve actually has two slopes and a turning point, if the second slope is zero, it will appear as a fatigue limit. Wherein the slope of line b is obtained by the famous Basquin criterion [10] [11] .

(1)

Under the usual conditions, the fatigue transition point is 10e6, and the corresponding fatigue limit is. If the fatigue data for fatigue life points and before fatigue life points are known, we can determine the slope b1 of Basquin. The main chip, fatigue test data of the water pipeline material are as follows:

Using Table 1 fatigue strength data of two fatigue life points N = 10e5, N = 10e6, combined with the Basquin criterion, to obtained the Basquin slope of the winning piece b1 = −0.07704. Taking the main piece of fatigue cycle has 10e6 and by using the formula, combined with the fatigue strength of N = 10e6, with b1 = −0.077041, the SRI1 value is 597.19.

Some metal materials (such as aluminum alloy or the like non-ferrous metal) fatigue limit is not obvious. Their fatigue limit will never be close to the horizontal straight line; we refer to the S-N curve of the similar aluminum material in the fatigue material library. In this paper b2 and b1 main chip is equal.

2) MSC. Fatigue drawing process of stress fatigue characteristic curve as shown in Figures 6-8.

The S-N data of the main chip is shown in Table 2.

3) Material fatigue properties

Figure 9 as the main chip of the fatigue characteristics of the interface, the significance of each parameter is shown below.

Material-Predefined material:

Finish-polishing surface is divided into: Untreated, polishing, grinding, etc. (this paper did not process with it).

Treatment-Surface treatment is divided into: No treatment, nitriding, cold rolling, etc. (this paper did not process with it).

Region-Predefined material components:

Kf-Stress concentration factor (in this paper it is defined as 1.8).

Table 1. Material fatigue test data.

Figure 6. Definition of the S-N curve of the main sheet material.

Figure 7. Definition of the S-N curve of the main sheet material.

Figure 8. S-N curve of main material.

Table 2. S-N data of the main sheet material.

Figure 9. Fatigue characteristic of main blade material.

4.2. Random Vibration PSD Excitation Curve

MSC. Fatigue in the drawing of the PSD curve as shown in Figures 10-12.

The above data is provided by the vibration test table. The horizontal coordinate is the excitation frequency (Hz), and the longitudinal coordinate is the excitation amplitude ().

4.3. Fatigue Vibration Analysis

The frequency of random vibration fatigue analysis first makes the unit load frequency response analysis in Nastran, then the time load curve and the material

Figure 10. Z direction amplitude frequency excitation curve test bench.

Figure 11. Y direction amplitude frequency excitation curve test bench.

S-N fatigue characteristic parameters are input in the fatigue software MSC. Fatigue, and at the last proceed to the after-fatigue treatment.

1) fatigue vibration analysis results

In this paper, we mainly consider the radiator structure under random vibration excitation, fatigue life of radiator structure. So, in this paper, the fatigue analysis method (vibration fatigue analysis method) is used to analyze the random vibration fatigue life of the radiator. Based on the fatigue analysis software MSC Fatigue, the Dirlik method was adopted to carry out the average stress correction of the Goodman method, to load the S-N curve of the main chip. The PSD load curve of the vibration test table is used as the load input, and then the fatigue life analysis and prediction of the radiator are carried out based on the probability Miner linear fatigue cumulative damage theory.

The fatigue analysis of the cloud chart shown in Figures 13-16 can be known, the main cause of fatigue failure of the radiator is X direction minimum vibration structure life. X direction is 1.19e7 seconds (3305 hours), the minimum life point appears in the middle of the main piece near the water chamber.

Radiator test bench requirements, under the restraint of the damping pad, the heat sink is subjected to the axial load of PSD in X, Y and Z three directions. In addition, the water chamber is connected with the cooling liquid pipe, the pressure of the internal coolant is 1.7 Mpa, and the duration of each axial time is 32 hours.

Figure 12. X direction amplitude frequency excitation curve test bench.

Figure 13. Radiator main chip Z direction test bench lifetime cloud chart.

Figure 14. Radiator main chip Y direction test bench lifetime cloud chart.

Figure 15. Radiator main chip X direction test bench lifetime cloud chart.

2) Error analysis of vibration fatigue

According to the experimental requirements of vibration fatigue test bench, to

Figure 16. Test bench vibration fatigue failure point.

reduce vibration the radiator is connected to the test bench thru rubber bush, and must withstand X, Y, Z three directions in the axial PSD load effect. The duration of each axial direction is not less than 32 hours, the total duration of the three directions is not less than 96 hours.

According to the vibration fatigue test bench test results, the radiator after 96 hours of vibration fatigue test, the location of the damage occurred mainly in the radiator positioning pin area, and the radiator fin did not occur any damage.

The experimental results show that the radiator fin is not damaged after 96 hours of vibration test, this paper calculates that the minimum life of the radiator fin is about 3305 hours. Due to the factors that lead to the error of vibration fatigue analysis, this paper discusses the factors that lead to the error of vibration fatigue from the following three aspects: The accuracy of the results of frequency response analysis, the accuracy of the material S-N fatigue curve, the accuracy of the stress concentration factor.

Accuracy of frequency response analysis:

The main factors that affect the accuracy of the frequency response analysis results are: Rubber bushing stiffness values of accuracy, the definition of the damping ratio, the quality structure of reasonable weight, the finite element mesh rationality constraints of boundary conditions and the load test bench compliance.

Spring, mass, damping is the 3 basic components of the power system, and the error of frequency response analysis is mainly produced by these three factors.

In the vibration test, the influence of rubber bushing on the structural rigidity of the radiator must be considered because of the connection between the rubber bushing and the vibration test table. The six-directional stiffness value of rubber bushing is a difficult problem. In this paper, the stiffness of the bushing of the radiator is analyzed by the test results of the vibration test table, and get the rubber bushing stiffness value of the forecast range, rubber bushing stiffness value accuracy directly determines the natural frequency and vibration mode of the structure of the radiator, so rubber bushing stiffness values on the accuracy of frequency response significantly affected the results of the analysis.

Structural damping value determines the structure of the peak response, which directly determines the structure of the fatigue life, in general, the damping value of the structure is between 0.2 - 0.6, in this paper, the structural damping is set at 0.2. On the whole, the accuracy of the analysis results of the frequency response has a great influence on the accuracy of the results of fatigue analysis.

Accuracy of S-N curves of materials:

In this paper, the material S-N curve is calculated according to the experimental results, the accuracy of the S-N curve of the material is mainly determined by the accuracy of the experimental parameters of the material.

The accuracy of the stress concentration factor of the material:

In this paper, the determination of the stress concentration factor is based on the experience curve, the shape of the main sheet material is determined, and the accuracy of the stress concentration factor has a great influence on the fatigue analysis results.

5. Conclusions

In this paper, by using the stiffness value of the radiator (without the external fan), the modal analysis and the pre-stressed modal analysis are carried out, and the influence of the pre-stress on the structural stiffness is analyzed.

Hereafter we described the process of random vibration fatigue analysis, and the process of obtaining the parameters of the stress fatigue characteristic curve. Finally, according to the comparison of our frequency response analysis results, PSD excitation, S-N curves on the structure of the vibration fatigue analysis, and the results of the vibration fatigue life and enterprise vibration test bench results, we can observe that the radiator we design meets the international requirements of fatigue vibration under automobile normal working condition. The main factors which lead to the error of vibration fatigue analysis are also analyzed.

But we still need to further our research and make our radiator having better heat dissipation performance, good life under working condition and cheap cost for the market. The next of our work will be on the durability performance of the alternative pressure of our radiator.

Acknowledgements

The first author would like to express his gratitude to Hubei Radiatech Auto Cooling System Co., LTD for giving us the chance to use the company lab to perform our experience, to our supervisor Mr. Sheng Buyun and to Mr. He Zhuang for their prolonged research collaboration and for providing valuable information.

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