Top Student

A rocket engine cooling problem seems simple, but the things involved are quite complicated.

The internal temperature of the rocket liquid engine can reach about 3500K.

In addition to high temperature, there is also a high-pressure environment inside the rocket liquid engine.

The general thrust chamber structure is difficult to withstand such a harsh environment.

Therefore, in the thrust chamber of the rocket engine, various thermal protection measures need to be introduced.

How to quickly cool down the inside of the engine is a very important issue.

For liquid engines, the more commonly used cooling methods include regenerative cooling, liquid film cooling, and radiative cooling.

In the case of high-thrust liquid rocket engines, liquid film cooling is generally used simultaneously with regenerative cooling.

For high-altitude orbit attitude control engines, liquid film cooling is the main cooling method.

Therefore, the liquid film cooling system is a problem that Xu You must solve.

Xu You turned on the deep learning state, raised the efficiency of the brain to the highest level, and started the extremely fast thinking mode.

Soon, Xu You cleared his mind and determined the main problem that he needs to solve at present.

Although liquid film cooling is now a widely used technology in rocket liquid engines.

But it also has its own problems and limitations.

When the coolant is injected into the wall of the thrust chamber, the mixing ratio in the area near the wall of the thrust chamber will seriously deviate from the optimal mixing ratio.

As a result, part of the propellant will not be able to effectively participate in the combustion, resulting in a loss of thrust chamber performance.

"Construct the physical model first, and calculate the key data in it."

Since Xu You decided to redesign by himself, he definitely couldn't just copy it completely based on previous experience.

Xu You needs to give his own unique understanding while referring to historical experience.

Including all the key data, Xu You needs to calculate it by himself to ensure the most accurate conclusion.

Xu You first calculated the thickness of the liquid film on the wall when the jet hits the wall, and the data of the flow distribution.

On this issue, Xu You needs to construct a physical model by himself before performing calculations.

"It feels like doing a physics competition problem." Xu You sighed.

Xu You had to admit that his experience of participating in the physics competition was indeed very meaningful.

Not only did it help me get admitted to Ji University, but in some scientific research work, many methods and skills to solve practical problems will also use the knowledge of physics competitions.

According to the conditions, Xu You established a plate liquid film thickness distribution model on the draft paper, marked the symbols used on it, and established the corresponding coordinate system.

After the model is established, the problem of column calculation remains.

Soon, Xu You deduced two functions related to the flow azimuth φ.

Through comparison, Xu You found that his derivation results in this part were consistent with those of other researchers before.

This feeling is like checking the answer after finishing the question and finding that the result is consistent with the standard answer.

For Xu You, this is a very normal thing.

But in Xu You's heart, he was vaguely expecting that there would be some discrepancies between his conclusions and those of his predecessors.

After all, there has never been a "standard answer" when it comes to scientific research.

Only by surpassing the conclusions of the predecessors can one make a breakthrough in this direction.

Of course, the research results in books and papers are not so easy to overthrow.

After some calculations, all the data and formulas are consistent with the ones above.

"Huh? Wait a minute!"

At this time, Xu You suddenly found out.

Above the theoretical expression of the liquid film flow distribution.

The formula I deduced actually differed from the formula on the data.

Xu You didn't feel excited right away, but first checked his derivation process to see if there were any problems in it.

After all, no matter what level of academic master you are, when your result is different from the standard answer, it is impossible to immediately think that the standard answer is wrong.

No matter how confident you are in yourself, you must confirm it again.

"My derivation is indeed no problem."

Xu You carefully checked his derivation process several times, and confirmed that there was no problem.

But when Xu You analyzed the derivation process of the formula on the data, there was also no problem.

"It turns out that I have considered an extra jet parameter in it."

In the original formula, this jet parameter did not appear.

Xu You felt that it was not that the jet parameter was meaningless.

It's just that the impact of this jet parameter is too small to be ignored.

Xu You also did not take the time to determine how much impact this jet parameter will have on the result, and whether it should be ignored.

But Xu You remembered the error problem that occurred when he helped Wang Xiangwu solve the quantum phase transition last time.

It is only an approximation process with a negligible error, but after amplification, it can also have a great impact on the result.

Therefore, Xu You decided to reserve his views on this issue first.

After that, Xu You spent half a day to complete the analysis of the whole problem, including the derivation of various formulas.

"Sure enough, in the subsequent data processing, there is also amplification processing!"

After careful thinking and analysis, Xu You noticed that this question was similar to Wang Xiangwu's last experiment.

If this jet parameter is not ignored, the resulting data will be more accurate.

And this is likely to be the key to designing a new liquid film cooling system.

The next step is to simulate the entire cooling process through software simulation.

Xu You once again felt the importance of informatics.

Although there must be some errors between the results of software simulation and actual experiments.

But as long as the accuracy of the simulation is high enough, this is definitely a much more efficient method than the actual experiment.

Through software simulation, Xu You has completely simulated the process including the formation of liquid film, entrainment of mainstream, liquid film cooling of thrust chamber, and the influence of liquid film cooling on engine performance.

In this way, Xu You can easily check the effect on the results of each process when various parameters are changed.

Based on the feedback of various data, Xu You pondered how to design a new cooling structure for the thrust chamber.

Unknowingly, Xu You once again entered that magical state of flow.

In the state of flow, Xu You's attention was more concentrated, and the state of his brain reached the highest level.

Gradually, Xu You finally pieced together the scattered chains in his mind.