Agriculture, Tribology

Agribusiness equipment and the different types of analysis applied

Today, you will learn more about the importance of predictive maintenance in agribusiness equipment.

Predictive maintenance consists of scheduling interventions on machines, above all, based on data from the equipment itself. This information is provided by a performance monitoring and monitoring program. Factors such as thermography, vibration and others are commonly evaluated.

Predictive maintenance and oil analysis

Among the main objectives of predictive maintenance are the elimination of unnecessary disassembly for inspection. In addition, early determination of the need for maintenance services and increase the availability of equipment.

Predictive maintenance also aims to reduce unplanned emergency work. In addition to preventing damage increase and take advantage of the total useful life of the components. In this way, its application allows to pre-determine the manufacturing interruptions to take care of the equipment that needs to undergo maintenance. Increasing the degree of confidence in the performance of an equipment or the production line.

One of the main predictive techniques, the oil analysis makes it possible to carry out laboratory evaluations. With fast and accurate results on the lubricant used in the machines.

With oil analysis, you can detect various problems. Both the wear and tear of the moving parts of agribusiness equipment and the presence of contaminating substances. Using the results obtained through oil analysis, the maintenance team can identify more quickly and even anticipate possible errors. This will avoid compromising service performance or product quality.

Another advantage of oil analysis is that it allows to extend the useful life of the components. As a result, it reduces expenditures on spare parts, labor on unscheduled maintenance and unnecessary oil change.

Agribusiness equipment

Maintenance in agribusiness equipment can be done in different ways. One is through corrective maintenance, which consists of repairing the machine, or its compartments and parts, when a fault occurs. Predictive methods, on the other hand, guarantee a more adequate operation of the machinery and prevent the occurrence of failures.

Predictive maintenance favors the useful life of agribusiness equipment and reduces the chances of failure. At the beginning of the development of internal combustion engines, lubrication was carried out using mineral oils, without any use of additive. In that period, the engines needed frequent disassembly for cleaning, because of the short period between exchanges. Of course, the one that promoted significant improvements regarding the internal cleaning of the engines was the introduction of the first detergent additives.

Analysis of the different compartments

  • Engine analysis

When it comes to the engine, you must follow the recommendations in the Manufacturer’s Manual. First, it is up to the producer to train the operator for daily checks of important engine components. In addition, it is advisable to observe the oil level every day.

  • Radiator Analysis

Among the recommended procedures for compartment analysis, it is necessary to check the water level in the radiator. Cleaning the front mask (radiator screen) should also be carried out to check for dust or dirt on the screen.

It is advisable that the water supply of the radiator is carried out daily, with clean water and preferably with the cold engine.

  • Hydraulic system analysis

Every producer wants to increase the availability of their machinery, so reducing the risk of failure must regularly check the power steering oil level.

  • Transmission analysis

During the lubrication of agribusiness equipment, it is necessary to know the specification of the type of oil used in the different locations of the machine, such as engine and transmission.

  • Analysis of other parts (controls, axes, differential)

The daily check should involve engine components such as air filters, fuel, hydraulic and cabin pumps, as well as belts and other parts.

Case Study – Agricultural

An analysis performed on the diesel engine of a harvester showed water and silicon contamination. In addition to the presence of iron, copper, lead, tin, chromium, nickel, titanium, aluminum and high oxidation, nitrate and sulfate values. As a result indicated external contamination, causing engine wear and oil degradation.

The customer returned stating that, after the inspections performed, a problem was identified in the engine oil level dipstick. This allowed water and dust to enter and consequently caused lubricant degradation and wear.

After maintenance of the motor, the ALS received a new sample, and the result changed to “normal”. Demonstrating the effectiveness of the intervention performed and the importance of fluid monitoring in preventing failures and increasing the life of the equipment.

With the analysis, the customer avoided a cost higher than R$ 37 thousand. Without the analysis, it would have to bear costs of lubricant degradation, engine failure and piston and sleeve damage.

Conclusion

As you can see, the predictive tools are very effective when it comes to maintaining agribusiness equipment. Of course, it is possible to prevent further damage, to reduce unplanned emergency work and to take advantage of the total useful life of the components.

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