Prediction the Effect of Cutting Parameters on Surface Roughness Using Taguchi Method

In this study, the prediction of surface roughness of milled surfaces was carried out using Taguchi Method with four inputs, namely, cutting direction, stepover, feed per tooth and workpiece surface geometry. A systematic approach to obtain an optimal surface roughness was employed to consider the effects of Taguchi method for this application using CNC milling machine with ball mill cutter. The results show that the Taguchi method is an effective tool in predicting the optimum factors to obtain minimum surface roughness, which are stepover, surface type, feed per tooth and cutting direction respectively

POINTS CLOUD PRE-PROCESSING AND SAMPLING BASED ON DISTANCE ALGORITHM TECHNIQUE

Although the rapid development of reverse engineering techniques such as a modern 3D laser scanners, but can’t use this techniques immediately to generate a perfect surface model for the scanned parts, due to the huge data, the noisy data which associated to the scanning process, and the accuracy limitation of some scanning devices, so, the present paper present a points cloud pre-processing and sampling algorithms have been proposed based on distance calculations and statistical considerations to simplify the row points cloud which obtained using MATTER and FORM 3D laser scanner as a manner to obtain the required geometrical features and mathematical representation from the row points cloud of the scanned object through detection, isolating, and deleting the noised points. A MATLAB program has been constructed for executing the proposed algorithms implemented using a suggested case study with non-uniform shape. The results were proved the validity of the introduced distance algorithms for pre-processing and sampling process where the proficiency percent for pre-processing was (18.65%) with a single attempt, and the counted deviation value rang with the sampling process was (0.0002-0.3497mm)