With the continuous development of modern agricultural mechanization and the continuous upgrading of agricultural machinery structure, agricultural machinery copper forging as an important component plays an important role. However, due to the complexity of the working environment and the diversity of external loads, copper forgings of agricultural machinery often face the risk of fatigue failure, so it is of great theoretical and practical significance to study and predict their fatigue life.
The research and prediction of fatigue life of copper forgings of agricultural machinery generally need to be explored from the following aspects.
First of all, material performance test is the basis of studying fatigue life. The mechanical properties of copper forgings, such as strength, hardness and elongation, can be obtained by tensile, impact and hardness tests. These parameters will provide the necessary data base for the subsequent fatigue life research.
Secondly, stress analysis is needed. Stress analysis is a key link to evaluate the stress of copper forgings of agricultural machinery under working conditions. The static stress, dynamic stress and stress concentration of copper forgings of agricultural machinery can be calculated by means of structural mechanics analysis and finite element simulation. This will help to quantitatively evaluate the stress state of copper forgings of agricultural machinery and lay a foundation for fatigue life prediction.
Next, the cyclic load history needs to be obtained. Copper forgings of agricultural machinery are often subjected to cyclic loads of different forms and amplitude variations in practical use, such as vibration loads and impact loads. Therefore, through measurement or simulation analysis, we can obtain the history of the external load borne by the copper forging of agricultural machinery under actual working conditions, and provide real and reliable load data for the fatigue life research.
Next, fatigue test and data collection are carried out. Fatigue life data of copper forgings of agricultural machinery under different load frequency, stress amplitude and cycle times can be obtained by fatigue test. In the test, the size and geometry of the specimen should be strictly controlled to ensure the reliability of the test results. In addition, it is necessary to accurately record test data during the test, such as stress, deformation and cycle times, so as to facilitate subsequent data processing and analysis.
Data processing and analysis is the key step of fatigue life research. By processing and analyzing the fatigue test data, we can draw the fatigue life curve, and establish the corresponding stress-cycle number (S-N) curve. In addition, reliability analysis can be performed to evaluate the failure probability of agricultural copper forgings under a specific number of cycles. These analysis results will help to understand the fatigue life characteristics of copper forgings in agricultural machinery.
Finally, based on the test data, material attribute parameters and stress analysis results, the fatigue life prediction model of copper forgings for agricultural machinery can be established. Commonly used models include empirically based Wohler curve method, strain life method and stress parameter method. These models can predict the life of copper forgings of agricultural machinery under given load conditions, and provide basis for design and improvement.
In conclusion, the research and prediction of fatigue life of copper forgings for agricultural machinery should consider material properties, stress analysis, cyclic load history, fatigue test data and model building. Through the research and analysis of the system, it can provide scientific basis for the design, optimization and use of copper forgings of agricultural machinery, improve its durability and reliability, and provide guarantee for the safe and efficient operation of agricultural machinery.
