Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan

Nor Asffan, Muhammad Qayyum (2020) Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan. [Student Project]

Abstract

MATLAB is a programming platform specially designed for engineers. It can function to analyse data, develop algorithms even create models and applications. In this research, MATLAB Graphical User Interface (GUI) is used to develop a user- friendly program that can predict surface roughness of Aluminium 6061 in CNC milling machine. Three main machining parameters which are spindle speed (rpm), depth of cut (mm) and feed rate (mm/min) were investigated to find its relationship towards surface roughness. On top of that, the types of cutting path chosen to be studied were parallel, morph spiral and true spiral. 10 runs of experiments with different machining parameters for each cutting path were analysed throughout this research. The percentage error between the surface roughness prediction and experimental surface roughness value from research data were determined to justify the reliability of developing this project GUI. From the results obtained, the average percentage error for the three cutting paths was less than 10 % meaning that the modelling equations used to develop the GUI are accurate. On top of that, the optimum surface roughness produced in this research is from morph spiral with 1.013 pm which is the lowest surface roughness produced compared to parallel and true spiral. The machining parameters for spindle speed should be at maximum level (300 rpm) while feed rate and depth of cut at minimum level (550 mm/min and 0.5 mm respectively) to achieve the optimum surface roughness for each cutting path.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Nor Asffan, Muhammad Qayyum
2016666066
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Othman, Muhamad
UNSPECIFIED
Subjects: T Technology > TJ Mechanical engineering and machinery > Machine shops and machine shop practice
T Technology > TJ Mechanical engineering and machinery > Machine shops and machine shop practice > Machine tools and machining
T Technology > TJ Mechanical engineering and machinery > Machine shops and machine shop practice > Machine tools and machining > Abrading machinery. Grinding, lapping, etc. Sharpening
T Technology > TJ Mechanical engineering and machinery > Mechanical movements
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Mechanical Engineering
Programme: Bachelor Of Mechanical Engineering (Manufacturing) (Hons.)
Keywords: MATLAB, Algorithms, CNC milling machine
Date: July 2020
URI: https://ir.uitm.edu.my/id/eprint/37778
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