3.1. Process Window Based on Output Voltage and Impact Angle
Smaller gaps (1 mm and 1.5 mm) generally result in more successful welds compared to larger gaps (2 mm, 2.5 mm, and 3 mm). For example, with a 1 mm gap, the success rate is higher compared to a 3 mm gap. Overlap values of 6 mm and 7 mm show better welding results compared to 8 mm. Consistent overlap seems to be crucial for successful welding. Cantilevered distances of 9 mm and 10 mm are more frequently associated with successful welds. The data suggests that a cantilevered distance of 11 mm is less effective. Higher voltages (8 kV, 8.5 kV, and 9 kV) generally result in more successful welds. Lower voltages (5.5 kV, 6 kV, and 6.5 kV) often lead to unsuccessful welds. Higher mean energy values (above 20 kJ) tend to result in successful welds. Lower mean energy values (below 15 kJ) often lead to unsuccessful welds.
For process parameters, the classical welding windows are done with two variables, collision angle, and output voltage or mean energy [
1] (
Figure 11). For this combination of stacks (HC420LA / A6082 T6), a typical zone exists where 100% of the samples are welded. A higher output voltage or mean energy is required for welding when the impact angle is low. Similarly, for low average energies and low impact angles, or for high average energies associated with high impact angles, the weld is not realized. This type of process window is dependent on the welding equipment used and therefore cannot be transposed to other MPW equipment or devices.
The combination of two parameters gives not real information about the weldability of this process, since different combinations of gap, overlap and cantilevered can give the same impact angle. A three parameters window, on the other hand, shows more information and narrows the useful parameters to continue the study of the process.
Figure 10 shows a 3D representation of the welded percentage obtained from the experiments which clearly points out the region where the combination of the three parameters (gap, overlap and mean energy) allows to reach 100% of welded samples. However, this type of process window is again dependent on the equipment used and cannot be transposed to equipment where the inductor has a different geometry, the LRC circuit has other characteristics... On the other hand, these parameters are directly programmed on the equipment and therefore easier to implement at the level of the process.
The 3D representation allows to point out different parameter combinations where the process is stable and reaches 100% of welded samples (black ellipses).
Bibliography does not mention overlap as a factor since most research is done in a whole overlap configuration. However, if the purpose of the weld is the use in BIW, a partial overlap is needed to take into account. The results show the importance of overlap in the consideration of the welding first requirement. An analysis of variance (ANOVA) has been made for both approaches (process parameters and impact parameters). The results for the process parameter approach point out the significance of the gap and the interactions between gap and overlap, gap and energy, and overlap and energy (
Table 5). This confirms the importance of the three parameters and that the collision angle which takes into account the gap and the overlap is not sufficient to properly define the viability zones of the process since different combinations of gap and overlap can result in the same impact angle.
Table 5.
Analysis of Variance for the model with process parameters related to the results of weldability of HC420LA and A6082T6 stacks.
Table 5.
Analysis of Variance for the model with process parameters related to the results of weldability of HC420LA and A6082T6 stacks.
| Variable |
Coefficient |
Standard deviation |
t Student |
Confidence % |
Risk % |
| Gap |
440,7042 |
79,7975 |
5,5228 |
100,00 |
0,00 |
| Overlap |
-89,8196 |
24,7820 |
-3,6244 |
99,92 |
0,08 |
| Gap*Output Voltage |
-30,7584 |
8,2800 |
-3,7148 |
99,94 |
0,06 |
| Overlap*Output Voltage |
24,2372 |
5,1067 |
4,7462 |
100,00 |
0,00 |
| Output Voltage2 |
-7,4578 |
2,3220 |
-3,2119 |
99,75 |
0,25 |
| Gap2 |
-53,5699 |
10,5086 |
-5,0977 |
100,00 |
0,00 |
| Overlap2 |
-6,9997 |
3,1064 |
-2,2534 |
97,05 |
2,95 |
| Source |
Square sum |
DoF |
Mean squares |
Fisher |
Confidence % |
Risk % |
| Regression |
173536,0837 |
7 |
24790,8691 |
27,3464 |
100,00 |
0,00 |
| Résiduals |
38075,0363 |
42 |
906,5485 |
|
|
|
| Total |
211611,1200 |
49 |
4318,5943 |
|
|
|
| |
|
|
|
Regression coefficient R= |
0,9056 |
According to the Henry's or CHI2 tests, the distribution of the residuals is not significantly different from a normal law. That means that there are no other significant parameters for our model, and that the gap parameter, the interactions between gap and overlap, gap and mean energy and overlap and mean energy are the only parameters explaining the variations of the % welded.
3.2. Process Window Based on Physical Parameters
High impact pressures (above 4000 MPa) are generally associated with successful welds. High impact velocities (above 1000 m/s) tend to result in successful welds. Impact angles around 18.43° and 26.57° are more frequently associated with successful welds compared to 33.69° and 45°.
Refering to the works cited above and which are based on the physical bases of the MPW process, the parameters which really control the weld generation between the two materials are the impact pressure, the impact velocity and the impact angle. These parameters are independent to the process implemented to perform the MPW and therefore allow to define a window of the process independently of the MPW equipment used. The only problem is to link these three impact parameters to the different process parameters (gap, overlap, mean energy, frequency, voltage...).
They also allow to define different thresholds guaranteeing the quality of the weld: critical impact speed for a straight or wavy welded interface, threshold pressure to weld the two materials, critical impact velocity to obtain the jetting phenomenon, etc. (
Figure 11).
In order to promote the phenomenon of jetting, the collision has to be subsonic compared to the speed of sound in the flyer material. In the case of A6082 T6, the sound speed in the material is around 3040 m/s. In all the tests, this value has not been overcome, that means that the condition of jetting, able to clean the surface of both materials, has been reached.
The waving morphology of the interface is also a characteristic of high impact welding processes. This is due to the transition of laminar to turbulent flow of the flyer material during the collision. Cowan [
28] and Carpenter [
29] have developed an analytical formula for explosive welding for determining this critical velocity Vc, by linking wave formation to fluid flow around an obstacle.
where
Re trans is the critical Reynolds number for transitioning from a laminar to turbulent flow (~8.9 for aluminum alloys [
28]),
H is the Vickers hardness (46 HV at 400 °C for A6082 T6 used in this study), and
ρ is the density (2700 kg/m
3 for A6082 and 7800 kg/m
3 for HC420LA). The flyer velocity overcomes a critical collision velocity required for a shear instability to develop for MPW [
30]. The value obtained from the experiments and from the equation (11) are in agreement (1780 m/s).
Figure 13 points out this difference of hydrodynamic regime for two conditions (noted condition 1 and condition 2 in
Figure 13)where welding has been achieved around this critical velocity.
The optical micrographs of
Figure 14 confirm this change from laminar (straight interface for condition 1) to turbulent flow (wavy interface for condition 2).
According to Kapil et al., the threshold pressure necessary for welding the two plates is defined by equations (6) and (7), and using data of
Table 2, we can estimate this minimum pressure being 2400, 1320 and 650 MPa for temperature of the flyer in the impacted zone respectively of 200, 300 and 400ºC.
Kolsky [
23] points out a linear relation of the impact pressure with the impact velocity (eq. 4) depending only on the characteristics of the two materials to be welded (density and speed of sound in each of them).
Figure 10 confirms this trend with however the highlighting of the important role of the impact angle, with a Pi/Vi ratio which decreases when the impact angle increases (
Table 6).
These different aspects are reported in the welding window of our experiments on
Figure 13.
The three-dimensional process window considering the impact parameters is shown in
Figure 15. Here again, two zones can be pointed out where the process is stable and 100% of welded samples (black ellipses) are successfully achieved.
The analysis of variance of the results confirms that the impact pressure, the impact velocity and the interaction between impact velocity and impact angle are the significant parameters of the process (
Table 7). This confirms the results of the bibliography where it is specified that a minimum pressure is necessary to ensure welding, that a critical speed defines the type of interface obtained (straight or wavy) and highlights the importance of the impact velocity associated with the collision angle. The impact velocity necessary to generate sufficient impact pressure for welding is intrinsically related to the angle at which the collision occurs.
Table 7.
Analysis of Variance for the model with impact parameters related to the results of weldability of HC420LA and A6082T6 stacks.
Table 7.
Analysis of Variance for the model with impact parameters related to the results of weldability of HC420LA and A6082T6 stacks.
| Variable |
Coefficient |
Standard deviation |
t Student |
Confidence % |
Risk % |
| Impact Pressure |
-0,1945 |
0,0472 |
-4,1211 |
99,98 |
0,02 |
| Impact Velocity |
5,8905 |
1,2237 |
4,8136 |
100,00 |
0,00 |
| Impact Angle |
-71,0335 |
17,0303 |
-4,1710 |
99,98 |
0,02 |
| Impact Pressure * Impact Angle |
-0,0158 |
0,0036 |
-4,4333 |
99,99 |
0,01 |
| Impact Velocity * Impact Angle |
-0,1133 |
0,0263 |
-4,2997 |
99,99 |
0,01 |
| Impact Pressure2 |
0,0000 |
0,0000 |
2,9856 |
99,52 |
0,48 |
| Impact Velocity2 |
0,0007 |
0,0002 |
3,6998 |
99,94 |
0,06 |
| Impact Angle2 |
1,3786 |
0,4313 |
3,1961 |
99,73 |
0,27 |
| Source |
Square sum |
Degree of Freedom |
Mean squares |
Fisher |
Confidence%
|
Risk%
|
| Regression |
167332,3338 |
8 |
20916,5417 |
22,4106 |
100,00 |
0,00 |
| Residuals |
37333,2262 |
40 |
933,3307 |
|
|
|
| Total |
204665,5600 |
48 |
4263,8658 |
|
|
|
| |
|
|
|
Regression coefficient R= |
0,9042 |
According to the Henry's or CHI2 tests, the distribution of the residuals is not significantly different from a normal law, which means that there are no other significant parameters for our model, and that the impact pressure parameters, impact speed and impact or collision angle are the only parameters explaining the variations of the percentage of welded samples.
3.3. Process Window Including Adhesion Specific Energy of the Weld
Results are shown in
Table 4. Isovalues of specific adhesion energy are pointed out in
Figure 16 and
Figure 18. They allow to determine the area of the output voltage/impact angle or the impact velocity/impact pressure/impact angle diagrams where the process is stable and robust.
After polishing and chemical etching to highlight the intermetallic compounds, micrographs are made by optical microscopy and the area occupied by the intermetallic compounds is measured by image analysis using ImageJ software. The results are given in
Figure 19,
Figure 20 and Figure 21.
Successful welds have a wide range of weld specific energy values, but higher values (above 150 kJ/m²) are more common in successful welds.
It is clear that the specific energy of the welded part depends on the amount of intermetallic compounds created during the process. The higher the quantity of intermetallic compounds (IMCs) at the interface the lower the weld specific energy (
Figure 19).
However, the dependence of the level of IMCs with the output energy as mentioned by different researchers (Psyk et al. [
17], Lee et al. [
18], Zhang et al. [
19]) is not so clear and seems to be related also to the impact angle as shown in
Figure 20.
Concerning its dependence with the physical parameters of the process, it has been pointed out that a minimum concentration of IMCs is obtained for an impact velocity in the range of 500 to 1200 m/s, associated to an impact pressure between 3000 and 4000 MPa (Figure 21).
In the different micrographs of the welded zone (
Figure 9), it also appears a higher concentration of IMCs with a wavy interface as reported by Zhang et al. [
19].
The data suggests that higher impact pressures and velocities, along with optimal impact angles, result in thinner IMC layers, which are desirable for stronger welds. Higher output voltage and weld specific energy values also correlate with thinner IMC layers.