With the continuous development of high performance, miniaturization and high precision in the fields of automotive electronics, 3C electronics, medical devices and precision industrial parts, injection molding enterprises have great influence on equipment stability, the requirements for production efficiency and product consistency are constantly improving. At the same time, driven by the trend of global circular economy, the application of reworking plastic is increasing. How to ensure product quality and realize stable processing of recycled materials has become a new challenge for injection molding enterprises.

At present, the injection molding industry is moving from "automatic production" to "intelligent manufacturing". In the actual production process, material batch changes, process parameter fluctuations and equipment status differences will directly affect the dimensional accuracy and production stability of the product. In the past, enterprises relied heavily on experienced engineers to adjust parameters, which was inefficient and costly to test and error.

Today, when AI technology is gradually integrated into the manufacturing process, how can injection molding enterprises use equipment data, intelligent algorithms and automatic control technology to reduce the dependence on manual experience and realize independent process optimization, stable quality improvement and more efficient and sustainable production mode?

ARBURG, a century-old German enterprise, launched a new Trend motor intelligent AI system, which helps production enterprises optimize their technological processes and realize intelligent upgrades in injection molding production through intelligent control functions:

·Intelligent machine adjustment assistance reduces reliance on operator experience. The intelligent function assists in setting production parameters, reduces manual trial and error, improves machine adjustment efficiency, and helps enterprises quickly realize stable production;

·Quality trend monitoring, enabling early identification of potential risks. Conduct intelligent trend detection based on quality parameters, find potential problems before quality deviation occurs, help production personnel intervene in advance, and reduce the risk of defective products;

·Intelligent compensation of recycled materials to achieve stable processing According to the fluctuation that may be brought by different materials such as raw materials, recycled materials and crushed materials in the production process, the intelligent system can actively compensate without additional sensors, helping enterprises to improve the forming stability in the application process of circulating materials;

·Intelligent loop optimization to improve device utilization By analyzing the action sequence and delay factors in the production cycle, suggestions are provided for process optimization to help enterprises shorten the cycle time and improve production efficiency.

In addition, Trend series also has the characteristics of "small body, large capacity mold", "High shooting speed, high efficiency molding", "super long pressure keeping, precise shape control" and so on, while meeting the demand of high precision production, considering the flexibility of equipment layout and production efficiency, it is especially suitable for injection molding applications with clamping force ranging from 50 to 200 tons.

If you are still struggling to find a new path for intelligent upgrading of injection molding production, September 24, 2026, 14:00-15:00, this online class cannot be missed! At that time, Eric Hao, an application engineer of ABOG, will be invited to attend to explain in depth the technical features of Trend series and how AI functions empower process optimization, quality Trend monitoring, stable processing of recycled materials and upgrading of intelligent production. What are you waiting for? Register and attend classes quickly!