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With the development of manufacturing industry, the aluminum plate processing industry has increasingly high requirements for production efficiency and product accuracy. However, the traditional CNC machining loading and unloading process relies on manual operation, which is not only inefficient but also prone to operational errors, affecting product quality. To address these challenges and improve production automation, composite robots (AMR) have gradually become the focus of solutions.
Customer pain points
1. Low efficiency of manual operation: The loading and unloading process of CNC machining is cumbersome and requires a large amount of manual operation, resulting in low production efficiency.
2. High operational errors: Operational errors are prone to occur during manual loading and unloading processes, which can affect the machining accuracy and quality of the product.
3. High labor costs: Relying on manual operations not only increases labor costs, but also poses management challenges due to personnel turnover.
4. Safety hazards: There are certain safety hazards during manual operation, which may lead to production accidents.
Program objectives
The goal of this plan is to achieve automation of the "product handling" part of the production process through composite robots (AMR), in order to improve production efficiency and accuracy.
1. Real time adjustment of production status: The composite robot AMR automatically completes the product handling part of the production process according to the instructions of the production center, and can adjust the production status in real time according to the production plan.
2. Finished product transfer: Implement the AMR composite robot to automatically confirm the completion of CNC machining and transfer the finished products to the finished product placement area.
3. Material management in the loading area: To determine the preparation status of materials in the loading area and automatically transfer the products to be processed to idle or processed CNC equipment.
Technical advantages
1. High precision grasping and placement: The composite robot AMR achieves grasping and placement errors of<± 1mm, ensuring the accuracy of processed products.
2. Intelligent obstacle avoidance and safe shutdown: The composite robot AMR achieves automatic yielding when encountering vehicles, and automatically stops when there are pedestrians or obstacles, ensuring production safety.
3. Automatic docking with CNC equipment: The composite robot AMR can be docked with CNC equipment to achieve automatic opening and closing of the warehouse door during loading and unloading, simplifying the operation process.
4. High success rate: The AMR composite robot has a comprehensive grasping and placement success rate of over 99%, significantly improving production efficiency and product quality.
Core values
1. Improve production efficiency: By automating loading and unloading and arranging trays, reduce manual intervention and improve production efficiency.
2. Improve product accuracy: High precision grasping and placement ensure the quality and consistency of processed products.
3. Reduce labor costs: Reduce reliance on manual operations, lower labor costs, and improve production management efficiency.
4. Ensure production safety: Intelligent obstacle avoidance and safe shutdown functions reduce safety hazards during the production process.
This scheme achieves automation of CNC machining loading and unloading processes by introducing composite robots (AMR), significantly improving production efficiency and product accuracy. The composite robot AMR has technological advantages such as high-precision grasping and placement, intelligent obstacle avoidance, safe shutdown, and automatic docking with CNC equipment. It can flexibly adjust the production status according to the instructions of the production center, ensuring the efficiency, stability, and safety of the entire production process. Through this plan, enterprises can not only improve production efficiency and product quality, but also reduce labor costs, ensure the safety of the production process, and ultimately achieve the goal of intelligent manufacturing.
