Majid Ghoreishi

TL;DR: In this article, the relationship and parameter interactions between six controllable variables on the hole taper and circularity in laser percussion drilling were investigated and the initial models were computed according to the least squares procedure and were finalised by stepwise regression method.

TL;DR: In this paper, the effects of high and low-frequency forced axial vibration of the electrode, rotation of the electrodes, and combinations of these methods in respect of material removal rate (MRR), tool wear rate and surface roughness in die sinking electro-discharge machining (EDM) with a flat electrode (planing mode) are compared in order to establish which combinations are most appropriate to different machining regimes (finishing, semi-finishing and roughing).

TL;DR: In this paper, a 3-6-4-2-size back-propagation neural network is developed to establish the process model and a second network, which parallelizes the augmented Lagrange multiplier (ALM) algorithm, determines the corresponding optimum machining conditions by maximizing the material removal rate (MRR) subject to appropriate operating and prescribed Ra constraints.

TL;DR: In this paper, the process parameters involved in powder-mixed electrical discharge machining (PMEDM) were modeled and optimized using the analysis of variance technique, in which significant terms (main effects, two factor interactions and pure quadratic terms) were chosen according to their p values less than 0.05 (95 % of confidence interval).

TL;DR: In this paper, the stability of the weld surface quality resulting from laser-arc hybrid welding of 4 mm thick steel was studied and the trends of stability in terms of top weld width variation were estimated by usi