Research of Intelligent Control Methods for Industrial Robots in Industrial Automation Casting
DOI:
https://doi.org/10.61173/7km5xk40Keywords:
Industrial Automation Casting, Industrial Robots, Intelligent Control, Casting ProcessAbstract
Against the backdrop of the accelerated advancement of Industry 4.0 and intelligent manufacturing, the intelligent upgrade of the foundry industry has become a key path to enhancing core competitiveness. Traditional casting processes, due to issues such as insufficient parameter control accuracy, low levels of equipment intelligence, and frequent manual intervention, are unable to meet the demands of high-quality and high-efficiency production. Industrial robots, with their programmable, high-precision, and automated operation advantages, offer a systematic solution for the intelligent transformation of the entire casting process. This paper reviews the application of intelligent control methods of industrial robots in key industrial processing stages such as batching, melting, temperature measurement, pouring, cleaning, and grinding. The intelligent control technology of industrial robots can significantly enhance the automation level, product quality, stability, and production safety of casting production. However, challenges still exist in aspects such as the compatibility of multi-brand equipment and system integration costs under complex working conditions. In the future, with the deep integration of artificial intelligence, 5G communication and digital twin technology, this technology will evolve towards full-process autonomous decision-making, multi-machine group collaborative operation and energy consumption optimization, promoting the transformation of the casting industry towards a green, intelligent and unmanned production model, and providing technical support for China's leap from a casting power to a casting superpower.
References
[1] Singh B, Sellappan N, Kumaradhas P. Evolution of industrial robots and their applications. International Journal of Emerging Technology and Advanced Engineering, 2013, 3(5): 763-768.
[2] Jiang Z. Research on the development strategy of FAW Hongqi new energy vehicles. Jilin University, 2024. China Telecom’s high-performance computing helps Geely Automobile to conduct efficient research and development. Communications World, 2024, (09): 61.
[3] Jing C. Lighthouse Factory, CITIC Dicastal Model. Manager, 2023, (04): 29-31. Pan Z, Polden J, Larkin N, et al. Recent progress on programming methods for industrial robots. Dean&Francis ISSN 2959-6157 Robotics and Computer-Integrated Manufacturing, 2012, 28(2): 87-94.
[4] Anonymous. The project of Qinhuangdao Kaisman with an annual production capacity of 2 million pieces of light alloy automotive castings has started construction. Special Casting & Nonferrous Alloys, 2015, 35(4): 344.
[5] Fang N. China Metallurgical South: Focusing on ultimate energy efficiency and being a pioneer in the practice of new quality productivity. China Metallurgical News, 2024, May 14 (T05).
[6] Anonymous. The project of Qinhuangdao Kaisman with an annual production capacity of 2 million pieces of light alloy automotive castings has started construction. Special Casting & Nonferrous Alloys, 2015, 35(4): 344.
[7] Zhao Y, Tian F, Guo M, et al. Research on casting process design of wind turbine hub castings. Casting Technology, 2022, 43(3): 229-232.
[8] Cheng Y. Dongfeng Motor Corporation Limited: Accelerating the competition in the new track of new energy and intelligence. China Business Times, 2025, March 3 (004).
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