Regular Neural Network Based Machining Parameters Optimization Model Of NC Machine Tool

Optimization of Electrical Discharge Machining Parameters Using Artificial Neural Network with Different Electrodes

Electrical Discharge Machining (EDM) is a time consuming process and the operating cost is high. Optimum machining conditions reduces the machining time in the EDM process and yield better performances. Electrode material is also having their significance in the performances. In this paper a work has been carried out with different electrode materials namely copper, brass and tungsten while EDM...

A Neural Network Model Based on Support Vector Machine for Conceptual Cost Estimation in Construction Projects

Estimation of the conceptual costs in construction projects can be regarded as an important issue in feasibility studies. This estimation has a major impact on the success of construction projects. Indeed, this estimation supports the required information that can be employed in cost management and budgeting of these projects. The purpose of this paper is to introduce an intelligent model to im...

On-Line Optimization of Cutting Conditions for NC Machining

This paper discusses a number of discrete models used for optimization of cutting condition during NC machining. The models can be broadly placed into two categories: 1. volumetric models in which feedrate is proportional to either average or instantaneous volumetric removal rate, 2. vector force models in which feedrate is set to values which keep either average or instantaneous cutting forces...

Optimization of the Neural Network Model Generalization Capabilities Searching for the optimal neural network design parameters

investigation of machining parameters effect on surface roughness in milling with hexapod machine tool

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