Prediction of output Responses in Milling of Casted Aluminum by using ANN
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Abstract
The important goal in the modern industries is to manufacture the products with lower cost and with high quality in short span of time. There are two main practical problems that engineers face in a manufacturing process. The first is to determine the values of process parameters that will yield the desired product quality (meet technical specifications) and the second is to maximize manufacturing system performance using the available resources. The increase of customer needs for quality products (more precise tolerances and better product surface roughness) have driven the metal cutting process. The main objective of this project work is to study the effect of surface roughness and Material Removal Rate in a machining of cast aluminum on CNC milling machine with High Speed Steel cutting tool. The feasibility of implementation of design of experiments (DOE), and Artificial Neural network in millingprocess is analyzed.
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