Research on Simulation Test of Automobile Parts in Assembly

With the development and innovation of science and technology, simulation technology has been widely used in automobile industry, especially in the development and design stage of automobile parts. By establishing a virtual model and simulating the actual production process on the computer, the design and manufacturing of automobile components and assembly lines can be optimized, thus reducing the research and development cost, shortening the product listing cycle and improving the product quality.

I. Introduction

The traditional physical experiment method is not only time-consuming and expensive, but the virtual prototype technology based on the concept of digital twins can effectively solve these problems. It uses advanced computational fluid dynamics (CFD), finite element analysis (FEA) and multi-body dynamics (MBD) and other software tools to build an accurate and reliable mathematical model, and then complete the comprehensive inspection from a single part to the whole vehicle level. This paper will discuss how to use these advanced technologies to improve the level of automobile manufacturing.

Second, the main application areas

1. Structural strength verification: by applying different types of loads (such as collision and impact) to key stress points, the safety performance of each part is evaluated; At the same time, it can also predict the aging phenomenon that may occur during long-term use.

2. Dynamic characteristic analysis: Check whether the vibration and noise generated by the engine during operation meet the standard requirements, and adjust relevant parameters accordingly to achieve the best state.

3. Thermal management research: With the help of CFD software, the working efficiency of cooling system and its influence on temperature distribution are explored.

4. Electrical wiring layout planning: ensure that all electronic devices work normally without interference with each other.

5. Comparison and selection of production line layout schemes: Tailor-made the optimal assembly line design scheme for specific vehicle types to reduce the material handling distance and time consumption.

Third, the implementation steps

1. Data collection: including material properties, geometric dimensions, boundary conditions and other information.

2. Model building: Choose the appropriate algorithm framework and grid division strategy according to the actual situation.

3. Parameter setting: define solver type, upper limit of iteration times, convergence criteria, etc.

4. Calculation and solution: start the program to automatically perform various tasks until the final result is obtained.

5. Post-processing: generate charts or animations to visually display the output data for subsequent interpretation.

IV. Conclusion

In a word, it has become one of the mainstream trends in the industry to carry out various tests of automobile parts before and after assembly by means of simulation. It can not only help enterprises find potential defects in time, but also provide valuable reference for engineers to help them make decisions quickly. In the future, with the continuous progress of emerging technologies such as artificial intelligence and big data, we have reason to believe that the prospects in this field will be broader.