3.1 Welding macroscopic geometry
To study the effect of laser power and welding speed on the weld bead, two sets of tests were conducted under a constant laser power and welding speed, respectively. The welding process parameters were shown in Table 2. The weld cross-sectional morphology and the curves of penetration depth and width obtained from the tests were shown in Figs. 3 and 4. Three locations on the weld cross-section were selected for dimensional measurements: the surface width (taken from the top position), the cross width (taken from the two BM contact locations), and the penetration depth of the weld. Figure 3(a) showed the curves of penetration depth and width at 475 W. It was showed that the surface width, the cross width, and the penetration depth of the weld decreased with increasing welding speed. The apparent trend of variation was observed at 10–40 mm/s speed, especially for the cross width, which decreased from 1257.4 µm to 399.16 µm. Figure 3(b)-(f) showed the cross-sectional morphology under different welding speeds, respectively. Figure 4(a) showed the penetration depth and width curves at 10 mm/s. As the laser power increased, the surface width, the cross width, and the penetration depth decreased gradually, and the distribution was approximately linear with a similar slope of the curve.
It was observed that as the welding speed increased, the geometry of the cross-section gradually developed from a "wine-cup" shape to a "nail" shape. And the penetration depth and width with the change of laser power showed the same effect. When the welding speed and laser power were changed, the welding heat input was also altered. As the welding speed increased, the residence time of the keyhole became shorter, resulting in a decrease in heat input and a smaller molten pool. This caused the weld geometry to resemble the shape of the keyhole, with reduced width and penetration depth, ultimately forming a "nail" shape. Moreover, higher welding speed made the formation of porosity defects more likely. On the other hand, as the laser power decreased, the heat input also decreased, leading to a smaller molten pool. The decrease in heat input, combined with consistent keyhole duration, resulted in reduced penetration depth and width, gradually shaping the molten pool into a smaller "wine-cup" form.
The weld cross width represented the bonding area of the weld, and generally, a larger bonding area indicated better weld performance. To some extent, it could reflect the weld's performance. From Figs. 3 and 4, it could be seen that the cross width increased with the increase in welding heat input. The weld cross width for variations in laser power was generally greater than that for variations in welding speed. This indicated a direct proportional relationship between cross width and heat input. Therefore, for the selection of process parameters, it was suitable to use the experimental conditions of samples 1, 6, and 7, which had higher heat input.
Because of the dissimilar heat accumulation and heat dissipation during the welding process, the welding conditions inside and outside of the weld were different, resulting in differences in the morphology and grain growth conditions. As displayed in Figs. 3 and 4, there were significant differences on both sides of the welds, especially under low welding speed conditions.
3.2 Microstructure and element distribution
Heat input can affect grain distribution and growth, thereby influencing the quality of welds. The microstructure and elemental distribution are better indicators of weld quality and can explain changes in performance. In the experiment, due to the welding path, there were significant differences in heat input between the inner and outer sides of the weld, which had a more pronounced impact on the microstructure. Sample 1 (475W, 10mm/s), which had the largest difference between the two sides of the weld in Fig. 3, was selected for the microstructure analysis. Figure 5(a) showed microstructure at the inside of steel and Kovar alloy on the outside of the weld, with the upper being the Kovar alloy and the lower being the steel. It was well known that the growth direction of columnar crystal was opposite to the temperature gradient. Therefore, the columnar crystal growth was also almost perpendicular to the fusion line, and grew from the weld boundary to the center of the weld during the solidification process.
Columnar crystal grew directly from the Kovar alloy BM could be observed. According to previous studies [13, 22], if the crystal structures of the BM and the weld were identical, the BM grains were able to serve as a substrate for the nucleation of the weld grains. When the molten pool was solidified, the liquid metal was more inclined to nucleate and grow by following the grain orientation of the BM, resulting in the same grain orientation of the weld and the BM, a situation called epitaxial growth. The Kovar alloy and the weld were Face Centered Cubic Crystals (FCC), which showed a tendency of epitaxial growth during the solidification process. As shown in Fig. 5(b), it was showed that the weld grains grew based on the Kovar alloy at the fusion line. Figure 5(c) showed a local magnified image of the weld on the steel side, and the weld and BM were separated by a line where the grains were regrown on the fusion line. Compared to pulsed laser welding, continuous wave laser welding can effectively improve the poor fusion of dissimilar metals in the weld, which helps the uniform distribution of elements and reduces the possibility of cracking [14, 15].
Figure 6 showed the microstructure of the inside of the weld. The fusion line on this side exhibited a circular profile, which reflected a different form from the linear profile on the outside of the weld. Due to the higher heat input during welding, the temperature and residence time of molten pool were bigger, resulting in wider weld. Furthermore, comparing Fig. 5 and Fig. 6, the epitaxial growth phenomenon was more obvious due to the increased heat input. Higher heat input and slower cooling rate provided suitable conditions for columnar crystal growth [4]. The length of the columnar crystal on the inside was significantly larger than that on the outside.
Figure 5(d)-(i) showed elements distribution of Fe, Co, Cr, Ni, Mn, and O on the outside of the weld, respectively. Ni and Co were mainly present in the Kovar alloy, and Cr and O were mainly present in the steel. Fe was uniform distributed on both the BM and the weld sides, while Co and Ni were predominantly distributed on the Kovar alloy side. Cr, Mn, and O were evenly distributed in the weld, with the most Cr content located in the steel BM and less at the fusion line. It should be noted that the content of element O in the welds was minimal and almost undetected.
Figure 7 showed the local magnified image of the central region of the weld, the red marker was the EDS measurement position. Equiaxed crystals and columnar crystals existed in the center of the weld. EDS local surface scan measurements were performed on the equiaxed crystals and columnar crystals, respectively, and the results were shown in the right figure of Fig. 7. According to the Schaeffler diagram [14] (Fig. 8), Ni equivalent (Nieq) and Cr equivalent (Creq) of P1 were 20.18 and 9.44, respectively, and were judged as austenitic phase (γ). The Nieq and Creq of P2 were 21.03 and 9.07, respectively, and were also judged as austenitic phase (γ). The austenitic phase was the main phase in the weld.
3.3 Microhardness
Microhardness is an essential indicator of the mechanical properties of a weld as it reflects the extent of thermal influence during the welding process. In order to accurately assess the microhardness of each region within the weld, microhardness tests were conducted on the 4J29 Kovar alloy side and the 316L stainless steel side of sample 1 (475W, 10mm/s). Figure 9 illustrated the location of the microhardness test, which was indicated by the yellow dashed line.
The microhardness curves were depicted by the white and red curves, representing the Kovar alloy side and the steel side respectively. The 4J29 side exhibited a hardness curve with an average hardness of approximately 168.95 HV in the BM. Notably, there was a significant decrease in microhardness, which could be attributed to the diffusion of metal elements within the weld, leading to a reduced content as evidenced by the EDS results in Fig. 7. Moreover, the heat transferred from the molten pool caused grain coarsening in the HAZ, resulting in a substantial decrease in hardness.
Furthermore, the hardness of the weld exhibited a decreasing trend from the outer region towards the inner region. On the steel side, the average hardness of the BM was around 215.33 HV. In the HAZ, the hardness displayed a minor downward trend. This could be attributed to the lower diffusion of heat into the HAZ from the laser beam, along with the lower grain roughness as illustrated in Fig. 5(a). The grain size in the HAZ resembled that of the BM, resulting in minimal variation in hardness. Additionally, there was a noticeable reduction in hardness within the weld, which could be associated with the movement of elements from the weld towards the entire weld, thereby reducing the Cr content in this specific area compared to the BM.
3.4 Tensile strength
The detector works in space with one atmospheric pressure inside and a vacuum environment outside. The weld is subjected to a large tensile force as a connection, so a high tensile strength is a guarantee for the normal operation of the device. In order to simulated the tensile force of the weld, a special clamp and tensile test method were designed. The tensile test used a special clamp and stretching method, resulting in two different force modes on the sample. The upper and lower sides of the weld were subjected to tensile forces and belonged to the tensile test. However, the Kovar alloy was subjected to tensile shear, which was a tensile shear test, as Fig. 2 showed. The results of the tensile test were shown in Fig. 10. Sample 1 (475W, 10mm/s) had the highest tensile force of 6065 N and sample 5 (475W, 80mm/s) had the lowest tensile force of 3577 N. The two modes of force resulted in two failure cases, which were discussed separately. Sample 4 (475W, 60mm/s) and sample 5 had lower tensile forces, and the samples fractured at the weld. The failure locations of sample 5 were shown in Fig. 10(c), which indicated that the tensile strength of the weld exceeded that of the Kovar alloy BM. The difference in heat input at different process parameters gave the weld a different morphology, while the higher heat input ensured a stronger performance of the weld.
The fracture surface morphology was shown in Fig. 11. Figure 11(a)-(c) were the fracture surface morphology and local magnification of the Kovar alloy side, and Fig. 11 (d)-(f) were the fracture surface morphology and local magnification of the steel side. There were obvious dimples with uniform size and distribution, showing the characteristics of ductile fracture [23]. On the Kovar alloy side, some of the surfaces showed pitted fractures, and some surfaces appeared smoothed, showing the brittle fracture characteristics [24, 25]. Therefore, the failure mode of the sample was judged as a mixed ductile and brittle fracture mode. And as seen in Figs. 3 and 4, the wider cross width and uniform distributed dimples might be the reason for the better tensile properties. In Fig. 9, the microhardness of the outside weld was lower than that of the inside, and the lower hardness generally demonstrated greater toughness [26]. The toughness and brittle fracture characteristics in Fig. 11(a) also reflected significant differences in the microhardness of different regions.
The tensile force of the samples under the remaining conditions was 6000 N approximately. The fracture locations were on the Kovar alloy BM, as illustrated in Fig. 10(b). The fracture surface morphology of the Kovar alloy BM of sample 1 was depicted in Fig. 12, there were dimples along the shear direction in a layered tearing pattern. It was obvious tensile shear fracture characteristics and could be judged as a ductile fracture. This was consistent with the phenomena observed by Dancette et al. [27] and Chao et al. [28], where shear dimples extended along the direction of shear loading. In this situation, the weld was the weak position of the sample, in Fig. 3(e) and (f), the cross widths of the weld were only 307.43 µm and 263.00 µm, which were much smaller than that of other samples, resulting in poor mechanical properties and tensile fracture location in the weld. The effect of welding heat input on tensile properties was reflected by the tensile strength and fracture morphology. When the heat input was higher, the weld had better bonding, larger penetration depth and width, uniform microstructure distribution, and obtained a stronger tensile strength with fracture location in the Kovar BM. When the heat input was lower, the weld bonding properties were worse, the tensile strength was lower, and the fracture was located in the weld.
3.5 Sealing performance
The X-ray counterpart collection device will carry out detection work in space, where the external environment of the detector is in a vacuum and the internal environment is filled with Xe and CO2 as protective gases, with an internal pressure of 1 Bar. Therefore, the detector needs to withstand a pressure difference close to one atmosphere between the inside and outside in space, and ensure that the protective gas inside the detector does not leak during operation. But the side with higher gas density will transfer to the side with lower density through diffusion, permeation, and leakage [29]. In a vacuum, it is inevitable for gas to leak from the sealing device. However, considering the usage conditions of the device, a certain leakage rate is permissible to ensure the normal performance of the device. According to the design requirements of the detector, the internal pressure of the device should not be less than 0.9 Bar during the two years’ service period to maintain normal operation.
In space, where the environmental pressure is P1 and the internal pressure of the device is P2, the gas leak rate needs to meet:
$${\text{L}}=\frac{{({P_2} - {P_1}){\text{V}}}}{{\text{T}}}$$
2
Here, V represents the volume of the detector, and T represents time.
When the leakage rate reaches the design standard of 1×10− 9 Pažmm3/s, it can ensure the normal operation of the detector during use. Weld is the first element to ensure sealing and must meet the design standard. In order to detect the sealing performance of welds, it is necessary to perform testing on the welds to ensure that the gas leakage rate is less than 1×10− 9 Pažmm3/s. Helium is a small molecular gas with a volume much smaller than that of Xe and CO2 molecules, making it more likely to leak through welding defects. In addition, the content of helium in the air is only 5 ppm, which can minimize interference from environmental gases and gas adsorbed by the material on the test results. To simulate the operating conditions of the detector, a vacuum environment is created on one side of the weld, while the other side is in a helium environment at normal pressure. The helium mass spectrometer leak detector is connected to the vacuum chamber to detect the helium leaked through the weld and determine if the leakage rate meets the usage requirements.
The results of the sealing performance test were shown in Fig. 13. The height of the bar in the figure indicated the leak rate of the sample under the conditions of the corresponding laser power and welding speed, and the lower bar indicated the better sealing performance of the sample. From the figure, it was showed that all samples meet less than 1×10− 9 Pažmm3/s leak rate index, However, the sealing performance of the weld showed a different trend with the change of process parameters. Sample 1 (475W, 10mm/s) had the best sealing performance, reaching 4.0×10− 10 Pažmm3/s. As the laser power decreased, the sealing performance gradually decreased, and the maximum leak rate reached 5.2×10− 10 Pažmm3/s. And with the increase in welding speed, the sealing performance appeared to increase and then decrease, sample 3 (475W, 40mm/s) had the largest leak rate, also reached 5.2×10− 10 Pažmm3/s. Synthetically, as shown in the process parameters in Table 2, welds with heat input greater than 37.50 J/mm (sample1, sample6, sample7) had good sealing performance, while welds with heat input below this value had higher leak rates.
The sealing performance was directly related to the defects such as cracks and porosity and the fusion of the two materials. As the weld cross-sections shown in Figs. 3 and 4, only fewer pores were observed in the weld without cracks, and adequate fusion could be seen in Fig. 5. The result of fewer defects was the sound sealing performance obtained in this test.