scholarly journals Experimental Analysis of Heat-Affected Zone (HAZ) in Laser Cutting of Sugar Palm Fiber Reinforced Unsaturated Polyester Composites

Polymers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 706
Author(s):  
Fathi Masoud ◽  
S. M. Sapuan ◽  
Mohd Khairol Anuar Mohd Ariffin ◽  
Y. Nukman ◽  
Emin Bayraktar

In this paper, the influence of processing input parameters on the heat-affected zone (HAZ) of three different material thicknesses of sugar palm fiber reinforced unsaturated polyester (SPF-UPE) composites cut with a CO2 laser was investigated. Laser power, traverse speed, and gas pressure were selected as the most influential input parameters on the HAZ to optimize the HAZ response with fixing all of the other input parameters. Taguchi’s method was used to determine the levels of parameters that give the best response to the HAZ. The significance of input parameters was also determined by calculating the max–min variance of the average of the signal-to-noise ratio (S/N) ratio for each parameter. Analysis of variation (ANOVA) was used to determine each input parameter’s contribution to the influence on HAZ depth. The general results show that the minimum levels of laser power and the highest levels of traverse speed and gas pressure gave the optimum response to the HAZ. Gas pressure had the most significant effect on the HAZ, with contribution decreases as the material thickness increased, followed by the traverse speed with contribution increases with the increase in material thickness. Laser power came third, with a minimal contribution to the effect on the HAZ, and it did not show a clear relationship with the change in material thickness. By applying the optimum parameters, the desired HAZ depth could be obtained at relatively low values.

Polymers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2543
Author(s):  
Fathi Masoud ◽  
S. M. Sapuan Sapuan ◽  
Mohd Khairol Anuar Mohd Ariffin ◽  
Y. Nukman ◽  
Emin Bayraktar

In this research, the effect of processing input parameters on the kerf taper angle response of three various material thicknesses of sugar palm fiber reinforced unsaturated polyester composite was investigated as an output parameter from abrasive waterjet and laser beam cutting techniques. The main purpose of the study is to obtain data that includes the optimum input parameters in cutting the composite utilizing these two unconventional techniques to avoid some defects that arise when using traditional cutting methods for cutting the composites, and then make a comparison to determine which is the most appropriate technique regarding the kerf taper angle response that is desired to be reduced. In the laser beam cutting process, traverse speed, laser power, and assist gas pressure were selected as the variable input parameters to optimize the kerf taper angle. While the water pressure, traverse speed, and stand-off-distance were the input variable parameters in the case of waterjet cutting process, with fixing of all the other input parameters in both cutting techniques. The levels of the input parameters that provide the optimal response of the kerf taper angle were determined using Taguchi’s approach, and the significance of input parameters was determined by computing the max–min variance of the average of the signal to-noise ratio (S/N) for each parameter. The contribution of each input processing parameter to the effects on kerf taper angle was determined using analysis of variation (ANOVA). Compared with the results that were extrapolated in the previous studies, both processes achieved acceptable results in terms of the response of the kerf taper angle, noting that the average values produced from the laser cutting process are much lower than those resulting from the waterjet cutting process, which gives an advantage to the laser cutting technique.


JOM ◽  
2018 ◽  
Vol 70 (7) ◽  
pp. 1326-1330 ◽  
Author(s):  
A. A. Mohammed ◽  
D. Bachtiar ◽  
M. R. M. Rejab ◽  
X. X. Jiang ◽  
Falak O. Abas ◽  
...  

2012 ◽  
Vol 13 (7) ◽  
pp. 894-898 ◽  
Author(s):  
D. Bachtiar ◽  
S. M. Sapuan ◽  
A. Khalina ◽  
E. S. Zainudin ◽  
K. Z. M. Dahlan

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