The military-industrial scientific research system of the academic master.

After what seemed like a long period of time, the second person reacted:

"Mr. Chang, is this... successful?"

At this point, Chang Haonan couldn't help but smile. At the same time, he took out the ballpoint pen from his pocket, clicked the tip of the pen out, and signed his name with a few strokes at the end of the test record.

After doing this, he raised his head again:

"if not?"

Those who can stand here, including operators, are professionals in the industry.

Of course, the reason why I asked this question just now is not because I can't understand the experimental results, but simply... it's unbelievable.

A bearing may fail in various ways when faced with different working conditions. Even under the same working conditions, different faults and damage may sometimes occur due to production consistency issues.

Before today, no one had even thought of using theoretical means to calculate and predict the working conditions of a bearing during its entire life cycle, because it seemed too complicated to start with.

But Chang Haonan did it.

Not only did it happen, it was successful.

Therefore, after receiving the affirmation from his rightful owner, the crowd in the laboratory finally burst into cheers.

People from twenty to fifty years old, from master's students to professors, hugged each other or raised their arms and shouted.

As a country that completely missed the first two industrial revolutions, machinery manufacturing has actually always been one of China's biggest shortcomings in the field of science and technology. However, due to its high reliance on experience, it is almost the most difficult field to catch up with. .

This has caused China's machinery field to be in a low-end repetitive cycle of lagging behind - catching up - and continuing to lag behind for a long time.

Compared with IT or finance, the manufacturing industry is inherently a "hard-working" industry with huge investments and a long recovery cycle, and a large share of the already low profits has to be taken away by countries such as Europe and the United States, leaving it to the domestic market. For enterprises, it can only be considered a mouthful at best.

In the era of market economy, if you can't make money, people naturally have no enthusiasm.

As the industry is like this, the situation in the research field is naturally not much better.

You can't make much money, and you can't publish papers with high impact factors.

To a certain extent, it is not even as easy as the four major tiankeng majors in material, chemical, biological, environmental and environmental sciences in the future - at least the water thesis is easy.

Over time, the entire machinery field, both on the production side and on the R&D side, has become the lower reaches of the industry's contempt chain.

As practitioners, they could only accept this status quo in the past, but that does not mean they are willing to accept it.

No one is looking forward to a day when they and the entire industry can be proud.

No one hopes to be able to make most of the profits from end products by selling only some key components like in Europe and the United States.

This is not to mention that most of the Western blockade and embargo lists against China involve technology or equipment in the field of machinery manufacturing.

Even some that are allowed to be exported to China are downgraded versions with limited functions.

This is blatant discrimination, but in the past, we had nothing to do with each other.

If you fall behind, you will be beaten. This saying is not only valid on the battlefield.

And today is the day when the counterattack horn sounds.

"Mr. Chang, with this technology, does it mean that our bearings will never face unexpected failures in the future?"

An old technician responsible for experimental operation and bearing maintenance happened to be standing near Chang Haonan, smoothed his half-white hair and asked the latter.

"What I study is science, not magic. Of course, I can't do it to this extent."

After the cheers of the crowd subsided, Chang Haonan explained half-jokingly:

"Our sixteen bearings were carefully selected after leaving the factory and were measured with special high-precision data before the experiment, so we can obtain very accurate calculation results."

"If it is an industrial product, it is obviously impossible for everyone to operate in this way. In addition, during use, there may be unexpected problems that are difficult to predict, such as foreign objects or misoperation. In short, the reality is very complicated. To say 100% If it’s accurate, no one can guarantee it.”

In fact, this principle is similar to the previous active anti-asthma system of aviation engines.

No matter how amazing your functions are, you can't withstand the collision of birds in the air.

As a 24-year-old veteran with 26 years of scientific research experience, Chang Haonan knows one thing very well, that is, you never know what tricks users will play with your equipment.

"Nothing."

He then added:

"As long as no accidents occur, to be modest, I think 95% prediction accuracy can still be guaranteed."

The surrounding crowd burst into warm applause again.

Predicting how bearings will be damaged actually doesn't make much sense to end users.

Once it's broken, it's broken. It's no longer usable anyway and needs to be repaired or replaced with a new one.

Secondly, you cannot expect end users to have experts who specialize in this area.

An excellent Party B must acquiesce that Party A is a fool.

But for manufacturers who develop and manufacture bearings, it is simply a god among gods.

This means that as long as they get the accurate parameters and operating conditions of a bearing, they can predict whether it meets the needs of the target usage scenario, and the product development cycle will be greatly shortened.

It will also promote the more upstream metallurgy and precision instrument fields.

Furthermore, if some optimization algorithms can be combined, this process can even be reversed——

After obtaining the usage scenario requirements provided by Party A, reasonable parameters, or at least a reasonable parameter range, can be obtained directly through calculation.

Directly changing the rules of the game for the entire industry.

However, to achieve the latter, a large amount of data accumulation and algorithm optimization are required.

This cannot be done in the laboratory.

They could only obtain 16 sets of experimental data in one hundred hours, which was not as good as that of large bearing manufacturers.

After the short celebration, Wang Qinli returned to the topic first:

"Mr. Chang, the next step is to determine the parameters of the new bearing based on the technical data provided by the Aviation Industry 430 Factory?"

According to Chang Haonan's plan, the first model to use the new bearings should be turbofan 9.

This has also been determined long ago.

High-thrust turbofan engines not only face design challenges, but also use many new processes and materials.

Waiting until the end of the design work to start testing not only delays progress, but also creates a cumulative risk of trying too many new things together.

Chang Haonan can indeed rely on his own ability to make new technologies reliable, but he is impossible and not good at driving screws himself, so the process of turning paper content into actual products will still produce uncontrollable factors.

It is still necessary to find a relatively mature model to take advantage of it first.

However, at this point, there is still a gap between Chang Haonan's goal of "increasing bearing life by more than 10 times."

Although others are already very satisfied with the current test results, he did not just say it casually.

"Bearing parameters are only one aspect. This matter can be handled by you."

Chang Haonan said and looked at the dozen test bearings lined up at the inspection station next to him:

"I want to put my energy into material research and development."

A group of people looked at each other in shock after hearing this.

"Do you still understand this?"

Zhang Jing blurted out a somewhat high emotional intelligence question.

Chang Haonan put his hands behind his back and shook his head gently:

"I can't say I understand, I'm just interested."