## 1 Introduction
The work indicated on the challenges in the machining of Al6061-based composites. The work evaluated the magnitude of errors due to the wire vibrations and lag. The work evaluated the corner variations and errors in cutting orientations. These variations were expected due to the presence of SiC as the reinforcement element in the composite. The work identified that the lower current with a lower pulse-on time and a higher voltage provided low variations in the considered parameters. [PERSON] et al. [18] worked on the optimization and modelling of wire EDM of Al6061-based composite reinforced with Silicon Carbide particles. The work identified the optimum parameters of current, pulse-on time, pulse-off time, voltage and wire speed for the MRR of the specimens. It was also identified that current is the major contributor for the considered parameter. A regression model was also developed for predicting the MRR for different compositions in this work. The optimum values were identified as current--5 A, ton--40 \(\upmu\)s, toff--10 \(\upmu\)s and voltage--90 V. [PERSON] et al. [19] worked on the MRR and tool wear rate of Al6061 with copper and brass electrodes. The work identified that the MRR was maximal at a peak current of 15 A for both the electrodes, and that tool wear was minimal for copper electrode when compared to brass electrode. [PERSON] and [PERSON] [20] carried out a study of wire EDM in Al6061-Al\({}_{2}\)O\({}_{3}\) composite with reinforcement weight fractions of 6 and 8%. The influence of the input parameters of current, gap voltage, wire tension and dielectric pressure were considered for this work. The work concluded that the current is the major contributor for the variation in MRR and surface roughness. The optimum values were identified using TOPSIS analysis. [PERSON] et al. [21] worked on the development of a prediction tool using ANFIS to identify the surface quality of an Al6061-based composite by identifying current, wire feed, pulse-on time and pulse-off time. The work was able to predict the behaviour with very close proximity to the experimental results. The average error rate was observed to be 1.67%. [PERSON] et al. [22] worked on Al6061 composites with SiC and graphite reinforcement with the independent variables of current, voltage, pulse duration and tool material. The study was carried out using ANOVA. The output parameters determined were MRRand \(\rm R_{a}\). The work identified that current is the major contributing factor and that an increase in current and pulse duration increased the MRR, but reduced surface finish. Meanwhile, the increase in voltage reduced MRR and surface finish. The work also identified that the electrode material has a significant contribution to the output parameters. [PERSON] et al. [23] studied the characteristics of Al6061 composites manufactured using stir casting and compared the material properties with the base alloy. It was identified in the work that the material properties were enhanced with the addition of reinforcement in the base alloys and that stir casting is an economic and efficient technique for the development of Al6061 composites. [PERSON] and [PERSON] [24] worked on the wire EDM machining of Al6061 composite with various percentages of SiC added to it. The work was conducted with the input parameters of current, pulse-on time, pulse-off time and wire feed rate. It was identified that the surface roughness reduced with the addition of SiC in the base alloy. The work also identified that the increase in the percentage of SiC reduced the surface roughness. [PERSON] et al. [25] carried out a study of the machining of Al6061 composite with nano SiC and nano ZrO\({}_{2}\) as reinforcements using wire EDM, using ANOVA and multiresponse optimisation. The work identified that second-order mathematical equations are required to identify the influencing parameters for kerf width and surface roughness. The work also illustrated that there was a linear correlation between surface roughness and pulse-on time.