Machine Vision Technology in Die Casting Process

With the continuous development of technology, machine vision technology has been widely applied in various fields. This article mainly discusses the application and development trend of machine vision technology in the die casting process, aiming to provide reference for related research and applications.

I. Introduction

Die casting is a metal forming process that obtains desired parts by pouring molten metal into a mold and cooling it. The die casting process has advantages such as high production efficiency, low cost, and high dimensional accuracy, and is widely used in automotive, electronic, and household appliances industries. However, due to the complex environment involving high temperature and pressure in the die casting process, traditional manual inspection methods are difficult to meet production needs. Therefore, machine vision technology, as a non-contact inspection method, has gradually been applied to quality control and optimization of the die casting process.

II. Application of Machine Vision Technology in Die Casting Process

1、Inspection of Molten Metal

In the die casting process, the quality of molten metal directly affects the performance and quality of the cast part. Traditional methods for inspecting molten metal mainly rely on manual observation and experience judgment, which have lower accuracy and efficiency. Machine vision technology can rapidly assess the quality of molten metal by image processing and analysis, including parameters such as color, bubbles, and impurities.

2、Surface Defect Inspection of Mold

The surface quality of the mold is a key factor affecting the surface quality and dimensional accuracy of the cast part in the die casting process. Traditional methods for inspecting mold surface mainly depend on manual visual inspection and touch, resulting in subjectivity and errors. Machine vision technology can detect defects such as cracks, wear, and deformation on the mold surface in real-time through image acquisition and processing, achieving automated and precise control of mold surface quality.

3、Internal Defect Inspection of Cast Part

Internal defects of cast parts are important factors affecting their performance and quality. Traditional methods for inspecting internal defects mainly rely on radiographic testing and ultrasonic testing, which have limitations. Machine vision technology can detect internal defects such as porosity, inclusions, and cracks in cast parts in real-time through image acquisition and processing, providing rapid and accurate assessment of internal quality.

4、Die Casting Process Monitoring

The die casting process involves complex physical and chemical changes involving multiple parameters such as temperature, pressure, and speed. Traditional methods for monitoring the die casting process mainly rely on manual operation and experience judgment, resulting in uncertainty. Machine vision technology can monitor various parameters such as temperature field, pressure field, and velocity field in real-time during the die casting process through image acquisition and processing, achieving automation and precise control of the process.

III. Development Trends of Machine Vision Technology in Die Casting Process

1、Development of High-Precision Image Acquisition Technology

With the continuous improvement of image sensors and optical imaging technology, machine vision systems can achieve higher image resolution and dynamic range, improving the detection accuracy and sensitivity for various parameters in the die casting process.

2、Development of High-Speed Image Processing Technology

As computer processing power continues to increase, machine vision systems can achieve faster image processing speed and higher processing efficiency to meet the demands of real-time detection and control in the die casting process.

3、Development of Multi-Modal Information Fusion Technology

By combining machine vision technology with other sensor technologies such as temperature sensors and pressure sensors, simultaneous detection and comprehensive analysis of various parameters in the die casting process can be achieved, improving the level of monitoring and control of the process.

4、Application of Artificial Intelligence Technology

By applying machine learning, deep learning, and other artificial intelligence technologies to machine vision systems, automatic identification and prediction of complex phenomena in the die casting process can be achieved, improving the intelligent level of the process.

5、Development of Industrial Internet Technology

By combining machine vision technology with industrial internet technology, remote monitoring and intelligent dispatching of the die casting process can be achieved, improving the automation level and production efficiency of die casting production.

IV. Conclusion

The application and development of machine vision technology in the die casting process can not only improve the quality control level of the die casting process, but also achieve automatic and intelligent control of the die casting process, thereby improving the efficiency and competitiveness of die casting production. With the continuous progress of related technologies, the application of machine vision technology in the die casting process will become more extensive and in-depth, providing strong technical support for the development of the die casting industry.