The present study aimed to optimize the process parameters (milling depth and advanced speed) for an asphalt milling operation using a multi-response approach based on Taguchi design of experiments (DOE) Grey Relational Analysis (GRA). Nine simulations tests were conducted Discrete Element Method (DEM) in order determine forces acting cutting tooth support tip. considered performance characteri...

In the current study, combining powder with dielectric fluid in electrical discharge machining (PMEDM) is a very fascinating technological approach. This approach most effective at increasing both productivity and quality of machined surface same time. The Taguchi–GRA was used to optimize roughness (SR), material removal rate (MRR), micro-hardness (HV) die steels mixed powder. Workpiece materia...

This study investigates the dry and near-dry electrical discharge machining (EDM) milling to achieve a high material removal rate (MRR) and fine surface finish for roughing and finishing operations, respectively. Dry EDM uses gas and near-dry EDM applies a liquid-gas mixture as the dielectric medium. Experimental studies leading to the selection of oxygen gas and copper electrode for high MRR d...

In the present work, the optimization of the abrasive water jet machining (AWJM) process parameters with multiple performance characteristics based on the orthogonal array with the grey relational analysis (GRA) has been studied. Optimization of multiple response characteristics is far more complex compared to optimization of single performance characteristic. A grey relational grade (GRG) calc...

Metal matrix composites (MMCs) have been increasingly used in industries, nuclear plant, and automobiles due to their superior properties compared other alloys, that is owing the tough abrasive hard reinforced particles. It’s complicated machine materials by traditional processes methods, therefore The present study focused on investigation of parameters electrochemical machining (ECM) like ele...

In the present paper, an axisymmetric two-dimensional model for powder mixed electric discharge machining (PMEDM) has been developed using the finite element method (FEM). The model utilizes the several important aspects such as temperaturesensitive material properties, shape and size of heat source (Gaussian heat distribution), percentage distribution of heat among tool, workpiece and dielectr...

Taguchi's design of experiment is utilized to optimize the process parameters in turning operation with dry environment. Three parameters, cutting speed (v), feed (f), and depth of cut (d), with three different levels are taken for the responses like material removal rate (MRR) and surface roughness (R a ). The machining is conducted with Taguchi L9 orthogonal array, and based on the S/N analys...

Abstract In our work, the process efficiency of ECMM should be improved by using different combinations nano-particles and added electrolytes. The superior aim this work is to improve predict machining characteristics die hardened steel, namely material removal rate (MRR), Tool wear (TWR) Surface Roughness (Ra). conditions are optimized Response Methodology (RSM) based on Box Behnken Design. be...

Determination of optimal conditions of machining parameters is important to reduce the production cost and achieve the desired surface quality. This paper investigates the influence of cutting parameters on surface roughness and natural frequency in turning of aluminum alloy AA2024. The experiments were performed at the lathe machine using two different cutting tools made of AISI 5140 and carbi...

Abstract The effective application of any machining process relies on its ability to machine the part/material with high efficiency and better surface finish. Electrical discharge is considered as a non-conventional method which well established used for manufacture parts have geometrically complex shapes intricate profiles. This technique came out making dies mere tools other manufacturing pro...