dc.description.abstract |
In recent times, laser material processing has become a mainstream manufacturing technique
in micromachining applications. This trend has been due to the various unique properties of
the laser beam. Laser machining has excellent properties such as flexibility which make it to
be used for cutting, welding, and drilling almost any material including silicon. In solar cell
cutting, the input parameters dictate the quality of the final product.
The manufacture of customized solar panels has presented some challenges such as micro
cracking, material waste due to kerf, and low machining rate. The optimal conditions may be
realized by having optimal input parameters combination in the machining process. Therefore,
there is the need for optimization of the input parameters so as to produce quality solar panels.
In this research, the effect of laser beam and process variables (inputs) on cut quality
attributes of solar cell were investigated. Parameter ranking was done to determine the most
significant parameters on the final product. The input parameters selected for this study were:
laser power, scan speed, and spct diameter, The quality attributes (outputs) which were
investigated were: keri' depth, kerf width and material removal rate for the process.
The input parameters were used in the design of experiment by Taguchi 9-orthogonal array
implemented in Minitab 17 software. The design provided nine experiments for unique
combinations of the input parameters. Experiments were then conducted and the results were
tabulated and analyzed.
The input parameters were found to have a significant effect on the quality attributes of the
solar cell. The kerf depth was found to increase with increasing laser power and decreased
with increasing spot diameter and scan speed. The kerf width was found to increase with
increasing laser power and spot diameter while it decreased with increasing scan speed. On the other hand, material removal rate was found to increase with increasing laser power and
spot diameter while scan speed had the opposite effect. From this analysis, models relating the
responses to the input factors were developed with the aid of the software.
Optimization process provided the solution for the desirable set values for the responses i.e.
kerf depth was set at a target value of O. l 840mm, the kerf width was set to be at the
minimum, and the material removal rate was set to be at the maximum to reduce machining
time. The optimal conditions were found to be; laser power at l 26.67W, spot diameter at
0.4158111111 and the scan speed at 3121mm/min.
An experimental validation of the optimized conditions was conducted obtaining kerf depth at
0.1839mrn with a standard deviation of 0.00001, kerf width at 0.5828111111 with a standard
deviation of 0.0005 and material removal rate at l 456mm3 /min with a standard deviation of
1.76. These experimental results showed conformity to the optimal conditions obtained using
the software.
In conclusion, the study showed that the input parameters selected have a significant effect on
the selected output parameters for the laser cutting process of solar cells. It was also found
that the obtained optimal parameters for laser cutting of solar cell produced the optimal
response factors after machining process. |
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