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World Economic Forum convenes, artificial intelligence is once again hot

World Economic Forum convenes, artificial intelligence is once again hot

[Abstract]:
The emergence of artificial intelligence promotes the transformation of casting companies
The emergence of artificial intelligence promotes the transformation of casting companies
 
In recent years, with the deepening of the concept of artificial intelligence, many companies are transitioning to intelligent enterprises. As a major foundry country in China, some foundry companies are in the process of transforming into smart flower factories. However, due to the fact that foundry companies belong to traditional industries, light workpiece polishing is a In order to solve this problem, many foundry companies now use Dalian Yuyang's intelligent grinding equipment to solve this problem.
 
Maihe Industrial Intelligence adds new impetus to corporate transformation and upgrading
 
Maihe industrial intelligent grinding equipment GS45 driven by the servo motor X/Y/Z triaxial realization of the machine tool spindle linear interpolation function. At the same time, the machine tool is equipped with two rotary axes of workpiece exchange and workpiece rotation. The workpiece rotation can participate in interpolation cutting.
 
Ordinary manual grinding takes 20 minutes, and the smart device only takes 2 minutes to polish. The reduction in labor costs is even more pronounced: Each intelligent grinding device can replace 5-10 workers. Calculated according to the average wage level of the industry, the accumulated annual savings of nearly 350,000 yuan. Such a performance comparable to Europe and the United States equipment, the price is only one-third of it.
 
Mehr Industrial Intelligence has its own independent R&D team and cooperates with Changchun FAW, CNHTC, Chongqing Xiaokang Power, Weichai Power and other large companies. For the transformation and upgrading of manufacturing companies, we provide professional one-stop integrated solutions for industrial intelligence to improve product quality, reduce production costs, improve operational efficiency, and continue to create maximum value for users.