In this study, an artificial neural network was used to predict the minimum force required to single point incremental forming (SPIF) of thin sheets of Aluminium AA3003-O and calamine brass Cu67Zn33 alloy. Accordingly, the parameters for processing, i.e., step depth, the feed rate of the tool, spindle speed, wall angle, thickness of metal sheets and type of material were selected as input and t...

Effect of Different Levels Speed Feed Sorghum Silage on Productive Performance, Milk Composition and Fatty Acids in Lactating Cows

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

Burnishing is a chip-less finishing process, in which a hard roller or ball presses the surface layer of part to perform plastic deformation in the surface layer and produce improved finish, enhanced hardness and compressive residual stresses on the surface of special materials such as Aluminum and Brass. In the following research, the effect of input parameters such as feed rate, cutting speed...

Manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. The material removal rate is a significant indicator of the productivity and cost efficiency of the process. Taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering thr...

Abstract This study investigated the predicted cutting force model of a turning operation for Al–Si–Cu cast alloy modified with modifiers based on adaptive neuro-fuzzy inference system (ANFIS) approach. Feed rate, speed and Silicon spacing were considered as input parameters. A series experiments conducted at various feed rates speeds. The prediction result showed that ANFIS successfully value ...

---------------------------------------------------------------ABSTRACT------------------------------------------------------Surface quality of the machined parts is one of the most important product quality indicators and most frequent customer requirements. Metal cutting processes are important due to increased consumer demands for quality metal cutting related products more precise tolerance...

Abstract The machining parameter during milling process plays a very important role in the of various materials. In this study parameters such as feed, speed spindle, depth cut has been studied considering AA7075 aluminum material and its effect on surface roughness workpiece have studied. These types are commonly used aerospace, defense, marine automotive industries due to high strength weight...

With the increasing demands of high surface irregularities and machining of composites, conventional machining processes are now being replaced by high speed Computer Numerical Control (CNC) machines. In this paper aluminium silicate made from alloying aluminium and silicon oxide made from rice husk are used. The machining of the alloy on CNC machine is carried out. In addition to speed, feed a...

For accurate and efficient use of wind power, it is important to know the statistical characteristics, availability, diurnal variation, and prediction of wind speed. Prediction of wind power permits the scheduling of the connection or the disconnection of wind turbines to achieve optimal operating costs. In this paper, a simple and accurate method for predicting wind speed based on weather-sens...