Due to unavailability of a computer keyboard layout for the Jawi script, users of this script make use of the Arabic keyboard layout for typing texts in this particular script. Obviously, the layout of the Arabic script keyboard is not designed for the ancient writing of the Jawi script. Keeping this in view, a research was conducted to design a new keyboard layout suitable for the users of the Jawi script from an ergonomics point of view, and the outcome of the research is presented in this study. In order to design the Jawi script keyboard layout, the relative finger strengths of both male and female subjects were determined experimentally. The relative frequency of the characters and two special characters (full-stop and comma) that appeared in the script were determined by counting their presence in a large number of texts in the script that represent the workload of the fingers. The keys were rearranged in such a way that the workload of each finger was approximately matched with its relative strength. The newly proposed arrangement of the keys was not much different compared to the Arabic script keyboard layout, and hence it is convenient for users to switch between the layouts.
The present study investigates the CNC milling performance of the machining of AISI 316 stainless steel using a carbide cutting tool insert. Three critical machining parameters, namely cutting speed (v), feed rate (f) and depth of cut (d), each at three levels, are chosen as input machining parameters. The face-centred central composite design (FCCCD) of the experiment is based on response surface methodology (RSM), and machining performances are measured in terms of material removal rate (MRR) and surface roughness (SR). Analysis of variance, response graphs, and three-dimensional surface plots are used to analyse experimental results. Multi-response optimization using the data envelopment analysis based ranking (DEAR) approach is used to find the ideal configuration of the machining parameters for milling AISI 316 SS. The variables v = 220 m/min, f = 0.20 mm/rev and d = 1.2 mm were obtained as the optimal machine parameter setting. Study reveals that MRR is affected dominantly by d followed by v. For SR, f is the dominating factor followed by d. SR is found to be almost unaffected by v. Finally, it is important to state that this work made an attempt to successfully machine AISI 316 SS with a carbide cutting tool insert, to investigate the effect of important machining parameters on MRR and SR and also to optimize the multiple output response using DEAR method.