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Method for diagnosing defects in laser cladding procedures in online manner
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A technology of laser cladding and diagnostic methods, which is applied in thermal excitation analysis, material excitation analysis, preparation of test samples, etc., and can solve problems such as cladding defect research without laser cladding process
Active Publication Date: 2017-06-13
HARBIN INST OF TECH AT WEIHAI
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[0006] The above studies have used various methods to conduct spectral analysis and detection of the cladding process, but there is no literature or method based on spectral diagnosis of plasma temperature to study the cladding defects in the laser cladding process
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Embodiment 1
[0051] In this embodiment, the physical schematic diagram of the cladding molding after laser cladding is as follows: Figure 5 As shown in (a), the cladding layer 10 is divided into a first area A and a second area B. The cladding layer 10 in the first area A is protected by an Ar shielding gas 9 during the cladding process, and the The cladding layer 10 in the second region B is not protected by the Ar shielding gas 9 during the cladding process. This situation is to simulate the situation when the shielding gas changes greatly during the production process.
[0052] During the laser cladding process, the optical fiber probe 3 collects the spectral information of the photoplasma 11 with a wavelength range of 200-1100 nm in the laser cladding process, and sends the above spectral information to the computer 2 through the optical fiberspectrometer 1, Through comparison, it is determined to further analyze the 314~419nm band. Observe the fluctuation of the relative radiation ...
Embodiment 2
[0055] In this embodiment, the physical schematic diagram of the cladding molding after laser cladding is as follows: Figure 6 As shown in (a), the cladding layer 10 is divided into a third area C, a fourth area D, a fifth area E and a sixth area F, and the cladding layer 10 in the third area C and the fifth area E The output power of the laser is 1200W during the cladding process, while the output power of the laser is 700W in the cladding layer 10 of the fourth area D and the sixth area F. This situation is simulated in the production process The situation when the output power of the laser changes greatly.
[0056] Based on the characteristic spectral lines FeI375.7nm, FeI383.9nm, FeI385.9nm, FeI387.2nm, FeI387.8nm and FeI388.6nm and their corresponding characteristic parameters, according to the Boltzmann mapping method, the plasma temperature is determined in real time, and Make its time-domain diagram corresponding to time, such as Figure 6 (b) shown. It can be seen...
Embodiment 3
[0058] In this embodiment, the physical schematic diagram of the cladding molding after laser cladding is as follows: Figure 7 As shown in (a), the cladding layer 10 is divided into the seventh area G, the eighth area H and the ninth area I, and the cladding layer 10 in the seventh area G and the ninth area I is in the cladding process The scanning speed is 5mm / s, and the scanning speed of the cladding layer 10 in the eighth region H is close to 0 (nearly stopped) during the cladding process. situation when changing.
[0059] Based on the characteristic spectral lines FeI375.7nm, FeI383.9nm, FeI385.9nm, FeI387.2nm, FeI387.8nm and FeI388.6nm and their corresponding characteristic parameters, according to the Boltzmann mapping method, the plasma temperature is determined in real time, and Make its time-domain diagram corresponding to time, such as Figure 7 (b) shown. It can be seen from the figure that when the state of the graph fluctuates or changes sharply from the relat...
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Abstract
The invention provides a method for diagnosing defects in laser cladding procedures in an online manner. The method includes steps of pretreating workpieces to be subjected to cladding; adjusting the locations of fiber-optic probes; acquiring laser-induced plasma spectrum signals by the aid of the fiber-optic probes when the cladding procedures start and transmitting the laser-induced plasma spectrum signals to computers; observing time-dependent fluctuation conditions of relative radiation intensity of laser-induced plasmas with different wave lengths and distribution conditions of element characteristic peaks from the computers, combining the time-dependent fluctuation conditions and the distribution conditions with parameters corresponding to the element characteristic peaks and determining a plurality of characteristic element spectral lines to be used as analysis objects; determining the temperatures of the plasmas in real time by the aid of the spectral lines according to processes for computing the temperatures of the plasmas and drawing time-domain plots corresponding to the time; judging whether the temperatures of the laser-induced plasmas rapidly fluctuate or change in the cladding procedures by the aid of the time-domain plots; determining that the manufacturing defects are available if the temperatures of the laser-induced plasmas rapidly fluctuate or change; determining that the manufacturing defects are not available if the laser-induced plasmas do not rapidly fluctuate or change. The method has the advantage that generation, occurrence moments and defect types of the defects in the cladding procedures can be quickly and accurately judged by the aid of the method.
Description
technical field [0001] The invention relates to the field of laser cladding, in particular to an online defect diagnosis method in the laser cladding process. Background technique [0002] Laser cladding, also known as laser cladding or laser cladding, is a new surface modification technology. It forms a metallurgical cladding layer on the surface of the base layer by adding cladding materials on the surface of the base material and using a high-energy-density laser beam to fuse it together with the thin layer on the surface of the base material. [0003] In the laser cladding process, the dynamic change of the photoinduced plasma temperature has a considerable relationship with the stability of the cladding process and the generation of defects. At the same time, the photoinduced plasma is closely related to the state of the molten pool and affects each other. Together they determine the stability of the cladding process and the quality of the additive. Real-time detectio...
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