How Do You Know The Quality Of The Fiber Cutting Machine?-Angelina
How Do You Know The Quality Of The Fiber Cutting Machine?
Because of the different materials, cutting speed, cutting effect and cutting power of fiber laser cutting machine.
So for laser cutting process, the following principles may affect evaluation of its processing quality.
1.Principles evaluating the fiber cutting machine quality
1. The cutting surface is smooth, no stripe, no burr, no brittle fracture.
When the fiber cutting machine cutting the thick plate at high speed, the molten metal will not appear at the bottom of the laser beam.
But it may spray after the laser beam.
In order to solve this problem, we only need to cut down the speed at the end of cutting process, thus greatly eliminating the appearance of texture.
2. The size of the cutting gap.
Cutting width has an important effect, when the thickness of the board increases, the width of the cut will increase.
Therefore, in order to ensure the same high accuracy.
No matter how wide the cutting width is, we should keep the work piece constant in the laser cutting machine area.
3. The perpendicularity of the cutting seam is good and the heat affected zone is small.
In general, the perpendicularity of the section under 5MM is not the most important factor for the cutting of the metal laser cutting machine.
But for the high-power laser cutting, the perpendicularity of the cutting edge will become very heavy when the thickness of the material is more than 10mm.
4. No material is burned, no melting layer is formed and no large slag is formed.
The slag of the optical fiber cutting machine is mainly reflecting in the deposition and cross section burr.
And the formation of the burr is one of the important factors that affect the quality of the fiber cutting.
Because we need additional work to eliminate burrs.
The severity and number of burrs can directly determine the cutting quality.
In addition to the above four principles, the state and final forming of molten layer in laser cutting process directly affect the quality evaluation indexes mentioned above.
