Ⅰ. Classification by processing method
1. Handheld laser cladding machine: It adopts handheld operation mode, suitable for small processing, and has the advantage of strong flexibility. However, since it needs manual operation, the processing quality is difficult to guarantee.
2. Desktop laser cladding machine: This type of machine is suitable for large-scale processing, with the advantages of high processing accuracy and stable quality. But it needs to occupy a certain space and is suitable for production lines with standardized production processes.
3. Automated laser cladding machine: This type of machine adopts automatic control technology, can independently complete the processing process, and is suitable for large-scale mass production production processes.
Ⅱ. Classification by laser source
1. Fiber laser cladding machine: It uses fiber laser as the laser source, has the characteristics of stable power and good beam quality, and is suitable for high-precision processing.
2. Carbon dioxide laser cladding machine: It uses carbon dioxide laser as the laser source. This type of machine has the characteristics of high power and suitable for large-area processing. It is suitable for the processing of materials such as steel and aluminum alloy.
3. Semiconductor laser cladding machine: It uses semiconductor laser as the laser source. This type of machine has the characteristics of small size and stable power, and is suitable for the processing of fine parts.
Ⅲ. Classification by processing materials
1. Metal laser cladding machine: This type of machine is suitable for the processing of metal materials, and is often used in aircraft parts, automobile parts, medical equipment, high-pressure pipelines, etc.
2. Non-metal laser cladding machine: Suitable for the processing of non-metallic materials, such as glass, ceramics, plastics, etc.
In short, different types of laser cladding machines have different characteristics and advantages and disadvantages. When choosing a laser cladding machine, you need to make a comprehensive consideration based on your own processing requirements and actual conditions.
