The technology of the artificial neural network (ANN) was applied in the research of supercritical material cutting. Two-dimensional Gaussian surfaces of the three cutting elements and workpiece surface hardness had been established fitting through JMP software. Base on the orthogonal milling experiments, the rules of cutting forces variation were forecasted, as well as the effect to the hardne...

This paper deals with modeling of plasma cutting process using artificial neural network (ANN). The objective was to develop an ANN model in order to predict the ten-point height of irregularities (Rz) in terms of three input parameters, cutting current, plate thickness and cutting speed. To this aim, a feed-forward backpropagation ANN was developed and trained using the experimental data. Afte...

Material processing of Carbon Fibre Reinforced Plastics (CFRP) parts by means of shape-cutting or jet-cutting technologies is state of the art today. These processes still perform in some applications with lack of part quality such as delamination and low productivity. Therefore, laser cutting processes have a great potential in material processing of CFRP. Laser process parameters have to be a...

Chatter vibrations, occurring during cutting process, cause vibration between the cutting tool and workpiece, which deteriorates surface roughness and reduces tool life. The purpose of this study is to investigate the influence of cutting parameters and tool construction on surface roughness and vibration in turning of aluminum alloy AA2024. A new design of cutting tool is proposed, which is fi...

Laser cutting is a complex multi-input multi-output machining process. To satisfy different requirements regarding laser cut quality it is necessary to determine optimal laser cutting conditions. This paper demonstrates the application of the grey relational analysis for optimization of different laser cut quality characteristics such as the depth of separation line, drag line separation and bu...

Force control is an effective means of improving the quality and productivity of machining operations. Metal cutting force models are difficult to accurately generate and, thus, there is large uncertainty in the model parameters. This has lead to investigations into robust force control techniques; however, the approaches reported in the literature include known process changes (e.g., a change ...

Environmental and Ecological issues call for the reduction in usage of cutting fluids in metal cutting industry. New techniques are being inquired to achieve this objective. Hard turning with minimum quantity lubrication is one such technique which can alleviate the pollution problems associated with cutting fluids. In the present work, vegetable oil based cutting fluids like castor oil, palm o...

Article history: Received January 2, 2015 Received in revised format 6 February 2015 Accepted 15 February 2015 Available online February 17 2015 Surface roughness and cutting forces are considered as important factors to determine machinability rate and the quality of product. A number of factors like cutting speed, feed rate, depth of cutting and tool noise radius influence the surface roughne...

Laser based cutting processes comprise a significant part of industrial manufacturing. To ensure a high level of cutting quality the process parameters have to be kept at the right values and within defined tolerances. In this context, the position of the laser beam focus is one of the most important parameters. However, due to thermal heating of optical elements the focal position shows a tran...

Cutting tool and machining parameters selection are central activity in process planning, which was traditionally performed by numerical control programmers or machine tool operators. The surface integrity has great effect on part quality and the sudden tool failure increases the machining costs greatly. The present paper details the development of a cutting database system with surface integri...