company news about UV LED and robotic arm collaboration: innovative technology enabling precision manufacturing and testing

UV LED and robotic arm collaboration: innovative technology enabling precision manufacturing and testing

  In modern precision manufacturing, product quality requirements are becoming increasingly stringent, and traditional inspection and curing methods are no longer able to meet the demands of efficient, high-precision production. However, the collaborative application of UV LED light sources and robotic arms, with their unique technological advantages, is becoming a key force driving innovation in precision manufacturing. This combination not only automates and precisely controls the inspection and curing processes, but also significantly improves production efficiency and product quality, injecting new momentum into the high-quality development of the manufacturing industry.

  To effectively utilize UV LEDs and robotic arms in precision manufacturing, the system must first be set up and debugged. This is the foundation for smooth subsequent processes.

  1. UV LED Light Source Installation

  Precisely integrating the UV LED light source into the robotic arm is the first step in system construction. During this process, particular attention must be paid to the light source's wavelength and power parameters, which must be selected and set based on specific inspection or curing requirements. 

  2. Robotic Arm Calibration

Robot arm calibration is also crucial. Using specialized calibration tools and methods, we fine-tune the robot arm's motion accuracy and UV LED alignment to ensure they meet pre-set requirements.

  The inspection process is a critical step in ensuring product quality, and the collaboration between UV LEDs and a robotic arm plays a vital role.

  a. Surface Inspection

The robotic arm moves along a pre-set path to the surface of the workpiece to be inspected. The UV LED emits ultraviolet light, which stimulates fluorescence on the workpiece surface. Under normal circumstances, the workpiece surface emits a uniform fluorescence. However, if defects such as cracks, scratches, or bubbles are present, the fluorescence intensity in the defective area will be significantly reduced. A high-precision sensor (such as a CCD camera or spectrum analyzer) captures these fluorescence signals and records the difference between the normal and defective areas.

  b. Data Processing

The fluorescence signals captured by the sensor are transmitted in real time to a computer, which analyzes and processes them using specialized algorithms. The algorithm accurately determines the defect's location, size, shape, and other information, and generates a detailed inspection report. This process is fast and efficient, significantly improving the accuracy and speed of defect identification compared to manual inspection.

  In the field of precision parts manufacturing, one company has introduced a collaborative inspection system that uses UV LEDs and a robotic arm. During operation, the robotic arm, equipped with a UV LED light source, scans the surface of precision parts along a pre-set path. Ultraviolet light emitted by the UV LED excites fluorescence on the part surface, and a CCD camera captures the fluorescence signal in real time. By analyzing the signal, the system can quickly identify micron-level cracks or scratches on the part surface.

  The implementation of this system has significantly improved the company's inspection accuracy, accurately identifying tiny defects that were previously difficult to detect manually, significantly increasing product qualification rates. Furthermore, inspection efficiency has increased several times compared to traditional manual inspection, saving the company significant labor and time costs.

  The combination of UV LEDs and high-precision robotic arms has revolutionized the fields of precision manufacturing and inspection. It not only improves inspection accuracy and efficiency, reduces production costs and resource waste, but also promotes overall improvements in product quality. With the continuous development and improvement of technology, this collaborative application is expected to be promoted and deepened in more fields, becoming an indispensable core technology in modern manufacturing and contributing significantly to the development of intelligent and high-precision manufacturing.