Intelligent MATLAB Model for Predicting Surface Finish of Various Machining Processes

Vivekananda Reddi; Mythra Varun A.V.

CALL FOR PAPERS : Sep-2023

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25-Sep-23

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Intelligent MATLAB Model for Predicting Surface Finish of Various Machining Processes

Author(s):

Vivekananda Reddi , Department of Mechanical Engineering, MVGR College of Engineering, Jawaharlal Nehru Technological University Kakinada; Mythra Varun A.V., Department of Mechanical Engineering, MVGR College of Engineering, Jawaharlal Nehru Technological University Kakinada

Keywords:

Surface finish, MATLAB, Prediction Model, End Milling, Turning, Face Milling, CNC, RGB Values

Abstract:

Surface finish is a prime factor for each and every machined product. Surface finish is an important factor in determining the satisfactory functioning of the machined components. A good surface finish improves the appearance, adhesion, corrosion resistance, wear resistance, hardness, modify electrical conductivity, remove burrs and other surface flaws, and controls the surface friction. Hence, the surface finish needs to be measured accurately to ensure the proper functionality of the machined component in the desired applications. Considering the importance of developing accurate and simple measurement techniques of surface finish, this work was undertaken to design a unique model which is enabled to measure surface roughness with the help of RGB values of the given images of the machined component using MATLAB. The objectives of the project include developing a model to classify the type of process the work piece has undergone and to develop a model to predict the cutting parameters of the machined work piece.