Dalian automated processing is an important component of modern manufacturing, with core technologies covering multiple fields such as machinery, electronics, computers, and control engineering. With the advancement of Industry 4.0 and intelligent manufacturing, automated processing technology continues to improve, bringing significant advantages to production efficiency, product quality, and cost control.

1. Numerical Control Technology (CNC)

Numerical control technology is the core foundation of automated machining. By controlling the motion and machining process of machine tools through computers, CNC technology can achieve high-precision and high-efficiency machining. Numerical control machine tools can automatically complete the machining of complex parts according to pre programmed programs, and are suitable for various processes such as turning, milling, drilling, and grinding. The advantage of numerical control technology lies in its flexibility and repeatability, which can adapt to the production needs of multiple varieties and small batches.

2. Robotics technology

Industrial robots play an important role in automated processing, especially in areas such as assembly, welding, handling, and spraying. Robots can replace manual labor to complete high-intensity, high-risk, or highly repetitive tasks, improving production efficiency and safety. Modern robots are usually equipped with sensors and intelligent control systems, which can achieve adaptive machining and real-time feedback, further improving machining accuracy and efficiency.

3. Sensors and detection technology

Sensors are the "perception organs" in automated machining, used to monitor various parameters in real-time during the machining process, such as temperature, pressure, speed, position, etc. By collecting data through sensors, the control system can adjust processing parameters in a timely manner to ensure processing quality. In addition, detection technologies such as laser measurement and visual inspection are widely used in product quality control, which can quickly and accurately identify defects and reduce scrap rates.

4. Automated control system

The automation control system is the brain of automated processing, responsible for coordinating the work of various equipment. Common control systems include PLC (Programmable Logic Controller), DCS (Distributed Control System), and SCADA (Supervisory Control and Data Acquisition System). These systems can achieve real-time monitoring, optimization, and fault diagnosis of the machining process, ensuring the stable operation of the production line.

5. Computer aided design and manufacturing (CAD/CAM)

CAD (Computer Aided Design) and CAM (Computer Aided Manufacturing) technologies are important supports for automated machining. CAD is used to design 3D models of products, while CAM generates CNC machining programs based on the design model. The combination of the two seamlessly connects product design and processing, shortens the product development cycle, and improves processing efficiency.

6. Internet of Things (IoT) and Big Data Analytics

The Internet of Things technology connects processing equipment, sensors, and control systems together to form an intelligent production network. Through the Internet of Things, enterprises can monitor device status, production progress, and energy consumption in real-time, enabling remote control and optimized management. Big data analysis can extract valuable information from massive amounts of data, helping enterprises optimize production processes, predict equipment failures, and improve resource utilization.

7. Artificial Intelligence and Machine Learning

The application of artificial intelligence (AI) and machine learning technology in automated processing is becoming increasingly widespread. For example, AI can optimize processing parameters by analyzing historical data, improving processing efficiency and quality; Machine learning algorithms can be used to predict equipment failures and achieve preventive maintenance. In addition, AI can also be used for visual recognition and voice control, further enhancing the intelligence level of automation systems.

8. Flexible Manufacturing System (FMS)

Flexible manufacturing system is a highly automated production system that can quickly adapt to the processing needs of different products. FMS is usually composed of CNC machine tools, robots, automated warehousing systems, and computer control systems, which can achieve efficient production of multiple varieties and small batches. The core advantage of flexible manufacturing systems lies in their flexibility and adaptability, which can quickly respond to market changes.

9. Additive Manufacturing (3D Printing)

Additive manufacturing technology is a rapidly developing automated processing technology in recent years, which manufactures complex parts by stacking materials layer by layer. 3D printing technology is particularly suitable for manufacturing complex geometric shapes that are difficult to achieve with traditional processing methods, while reducing material waste. Additive manufacturing technology has been widely applied in fields such as aerospace, healthcare, and automotive.

10. Energy Management and Green Manufacturing

With the increasing awareness of environmental protection, energy management and green manufacturing have become important development directions for automated processing. By optimizing energy use, reducing waste emissions, and adopting environmentally friendly materials, companies can lower production costs while minimizing their impact on the environment. The application of automation technology in this field includes intelligent energy monitoring systems, waste recycling systems, and clean production technology.

11. Human computer collaboration technology

Human robot collaboration technology refers to the collaborative work between humans and robots in the same working environment. Unlike traditional industrial robots, collaborative robots (Cobots) have higher safety and flexibility, and can directly interact with human workers. This technology has broad application prospects in complex assembly, precision machining and other fields, and can fully unleash human creativity and machine precision.

12. Virtual Reality (VR) and Augmented Reality (AR)

The application of VR and AR technology in automated processing is mainly reflected in product design, process planning, and employee training. Through VR technology, engineers can simulate machining processes, optimize designs and processes in a virtual environment; AR technology can provide real-time guidance and information overlay for operators, improving work efficiency and safety.

The key technologies of automated processing cover multiple fields, from hardware to software, from traditional to emerging. The continuous development and integration of these technologies are driving the manufacturing industry towards intelligence, efficiency, and greenness. In the future, with the further maturity of technologies such as artificial intelligence, the Internet of Things, and additive manufacturing, automated processing will play an important role in more fields, bringing greater changes and opportunities to the manufacturing industry.