Aim of this contribution is to present the optimization of the laser cutting process by artificial neural networks. NeuroSolution for Excel 1.02 was used in order to interpret complicated dependencies between technological characteristics of laser cutting and output parameters. Multilayer feed forward neural networks are utilized for modelling and prediction of input parameters of laser cutting...

There are many factors effective on performance of the laser cutting process. Identification of more effective factors requires which will give the significant effect on the cutting quality of materials. In recent years the researchers have explored the number of ways to improve the quality of cutting in the different lasers. This paper reviews the research work carried out so far in the area o...

This research work describes an intelligent and modular architecture for controlling the milling process. For this purpose, it is taking into account the admissible input cutting parameters given by the stability lobes and restrictions of the system, calculating the quasi-optimal cutting parameters. The quasi-optimal cutting parameters are obtained considering a cost function with multi-objecti...

crops and agricultural products are subject to natural loading during growth. different mechanical forces are also exerted on them during harvest. one product, sugar cane, experiences large shear forces are during harvest. an examination of the crop properties and machine parameters of sugar cane are necessary to develop appropriate cutting tools and the optimization and design of harvesting ma...

The use of titanium and its alloys has increased in various industries recently, because of their superior properties of these alloys. Titanium alloys are generally classified as difficult to machine materials because of their thermo-mechanical properties such as high strength-to-weight ratio and low thermal conductivity. Laser Assisted Machining (LAM) improves the machinability of high strengt...

The chatter is one of the major limitations of the productivity in the ball end milling process. It affects the surface roughness, the dimensional accuracy and the tool life. The aim of this research is to propose the new system to detect the chatter during the ball end milling process by using the wavelet transform. The proposed method is implemented on the 5-axis CNC machining center and the ...

Surface roughness, an indicator of surface quality is one of the most specified customer requirements in a machining process. For efficient use of machine tools, optimum cutting parameters (speed, feed and depth of cut) are required. Therefore it is necessary to find a suitable optimization method which can find optimum values of cutting parameters for minimizing surface roughness. The turning ...

This paper presents a novel control architecture system which is composed of a multi-objective cost function which Pareto optimises the programming of cutting parameters while adapting the milling process to new cutting conditions if new constraints appear. The paper combines a self-optimised module which looks for and finds Pareto optimal cutting parameters according to multi-objective purpose...