In this paper a methodology based on multi-objective particle swarm optimization algorithm, for identifying the optimal parameters for machining a workpiece with a milling is presented. The time for machining, the material removal rate, and the feed rate were identified as the objectives to optimize. In addition, the proposal considered 4 constraints related to cutting tools, rotating speed of ...

Due to the widespread applications of fiber reinforced polymer composites in various industries, the machining of these materials to reach the desired shapes, close tolerances and surface finish quality is of great importance. But the composite materials are anisotropic and are mostly prepared in laminated form and, therefore, they have special chip formation behaviour. Among the effective para...

Manufacturing technologies are becoming continuously more diversified over the years. The increasing use of robots for various applications such as assembling, painting, welding has also affected the field of machining. Machining robots can deal with larger workspaces than conventional machine-tools at a lower cost and thus represent a very promising alternative for machining applications. Furt...

The paper deals with the prediction of the 3D surface topography obtained in 5-axis milling in function of the machining conditions. For this purpose, a simulation model for the prediction of machined surface patterns is developed based on the well-known N-buffer method. As in sculptured surface machining the feed rates locally vary, the proposed model can be coupled to a feed rate prediction m...

The present work reports the electrochemical machining (ECM) of the aluminium-silicon alloy/boron carbide (Al-Si /B4C) composites, fabricated by stir casting process with different weight % of B4C particles. The influence of four machining parameters including applied voltage, electrode feed rate, electrolyte concentration and percentage of reinforcement on the responses surface roughness (SR) ...

Experimental investigations were conducted to assess the influence of Abrasive Water Jet Machining (AWJM) process parameters on surface roughness (Ra) and kerf taper ratio (TR) of aramid fibre reinforced plastics (AFRP) composite. The approach was based on Taguchi’s Method and Analysis of Variance (ANOVA) to optimize the AWJM process parameters for effective machining. It was found that travers...

This paper presents a study of the relationship between Electrical Discharge Machining (EDM) parameters on the EDM efficiency factors using a full factorial design, based on pulse on-time, duty cycle and tool polarity parameters in EDM machining of AISI H13 tool steel. The results show that, in positive polarity, the plasma flushing efficiency and pulse efficiency increase according to the puls...

Electro Discharge Machining (EDM) is a very efficient machining process widely used in manufacturing components of complicated geometry. Based on its nature, i.e. material removal by electric discharge, the process induces thermal stresses that in turn result in generation of wide spread micro-cracks on the surface of the machined part. In this paper the influence of EDM characteristic paramete...

As a nontraditional processing technology, electrochemical discharge machining (ECDM) can process glass and engineering ceramics precisely. This technology has proven to be potential for 3D microstructure. However, the key expanding application of ECDM is how improve accuracy. research conducted micro-hole microgroove machining. Power voltage frequency influence on hole efficiency, entrance dia...