Prototype Application Development For Machining Optimization of Cutting Parameters Using Genetic Algorithms (GA) Method For Turning Machine

Ng, Aldi Pranata and Tanaya, Prianggada Indra and Prajogo, Tutuko and Sofianti, Tanika D. (2014) Prototype Application Development For Machining Optimization of Cutting Parameters Using Genetic Algorithms (GA) Method For Turning Machine. Bachelor thesis, Swiss German University.

[img]
Preview
Text
Aldi Pranata Ng 11210090 TOC.pdf

Download (337kB) | Preview
[img] Text
Aldi Pranata Ng 11210090 1.pdf
Restricted to Registered users only

Download (236kB)
[img] Text
Aldi Pranata Ng 11210090 2.pdf
Restricted to Registered users only

Download (325kB)
[img] Text
Aldi Pranata Ng 11210090 3.pdf
Restricted to Registered users only

Download (759kB)
[img] Text
Aldi Pranata Ng 11210090 4.pdf
Restricted to Registered users only

Download (495kB)
[img] Text
Aldi Pranata Ng 11210090 5.pdf
Restricted to Registered users only

Download (211kB)
[img]
Preview
Text
Aldi Pranata Ng 11210090 Ref.pdf

Download (302kB) | Preview

Abstract

The primary purpose of this thesis project is to design and develop a prototype application to find the optimum combination of cutting parameters; cutting speed (v), feed (f), and depth of cut (d) in turning machine as a product development. In reality, setting the cutting parameters is not being considered as an optimization. The operators usually set the cutting parameters based on manual table which might not the most optimum parameters. The optimization is based on two objectives, which are minimizing production time and cost. The implementation of optimization in this application is based on Genetic Algorithms (GA) method and Taylor tool life formula will be used in calculating tool life time and cost. The prototype application has been tested and validated with a prospect will be very helpful tool for operators in terms of selecting the optimum cutting parameters. In this project, Genetic Algorithms (GA) is used only to find the optimum cutting parameters and in future, it can be used to find which machine and which cutting tools is the best option for the operation.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Cutting Parameters; Turning Operation; Optimization; Prototype Application; Product Development
Subjects: T Technology > T Technology (General) > T55.4 Industrial engineering. Management engineering
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering and Information Technology > Department of Industrial Engineering
Depositing User: Astuti Kusumaningrum
Date Deposited: 31 Dec 2021 07:24
Last Modified: 31 Dec 2021 07:24
URI: http://repository.sgu.ac.id/id/eprint/1294

Actions (login required)

View Item View Item