Cover Image

Development Of Generative Computer-Aided Process Planning System For Lathe Machining

Computer Aided Process Planning (CAPP) is the bridge between computer-aided design (CAD) and computer-aided manufacturing (CAM). CAPP functions as the recognizer of the geometric input from CAD and analyse it into specific function for manufacturing purpose in CAM. These functions always create irre...

Full description

Saved in:
Bibliographic Details
Main Author: Zubair, Ahmad Faiz
Format: Thesis
Language:English
Published: 2019
Subjects:
T Technology (General)
TJ1-1570 Mechanical engineering and machinery
Online Access:http://eprints.usm.my/48104/1/Development%20Of%20Generative%20Computer-Aided%20Process%20Planning%20System%20For%20Lathe%20Machining.pdf
http://eprints.usm.my/48104/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.usm.eprints.48104
record_format eprints
spelling my.usm.eprints.48104 http://eprints.usm.my/48104/ Development Of Generative Computer-Aided Process Planning System For Lathe Machining Zubair, Ahmad Faiz T Technology (General) TJ1-1570 Mechanical engineering and machinery Computer Aided Process Planning (CAPP) is the bridge between computer-aided design (CAD) and computer-aided manufacturing (CAM). CAPP functions as the recognizer of the geometric input from CAD and analyse it into specific function for manufacturing purpose in CAM. These functions always create irregular data descriptions in current CAD and CAM system supply and demand. This study attempts to solve this problem by recognizing the part model’s features via its geometrical based and produce sub-delta volumes that can later be used to generate manufacturing feature-based data for CAM in a single system via generations of algorithm through open source 3D CAD modeller. To map the generated sub-delta volume and respective machining process, part model complexity (PMC) is introduced. Errors of the overall delta volume (ΔODV) were calculated and verification of the proposed PMC is done. Furthermore, to minimize unit production cost, machining parameters including cutting speed (CS), feed rate (f) and depth of cut (d) were optimized for regular form surfaces by using firefly algorithm (FA). These parameters were then useful for tooling selections and tool-path planning. The results from the automatic feature recognitions show less than 0.02% of error in comparison of algorithm overall delta volume, (ODValg) and the manual calculation ODV, (ODVmanual). To validate the generated tool-path, G-codes generated in media package file (MPF) file format and verified through CNC lathe machine. Indeed, the developed algorithm was able to determine the minimum unit production cost of lathe machining part model. Therefore, a single automatic system that able to transfer CAD data into machining readable data through CAM data had been developed. 2019-09-01 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/48104/1/Development%20Of%20Generative%20Computer-Aided%20Process%20Planning%20System%20For%20Lathe%20Machining.pdf Zubair, Ahmad Faiz (2019) Development Of Generative Computer-Aided Process Planning System For Lathe Machining. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology (General)
TJ1-1570 Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ1-1570 Mechanical engineering and machinery
Zubair, Ahmad Faiz
Development Of Generative Computer-Aided Process Planning System For Lathe Machining
description Computer Aided Process Planning (CAPP) is the bridge between computer-aided design (CAD) and computer-aided manufacturing (CAM). CAPP functions as the recognizer of the geometric input from CAD and analyse it into specific function for manufacturing purpose in CAM. These functions always create irregular data descriptions in current CAD and CAM system supply and demand. This study attempts to solve this problem by recognizing the part model’s features via its geometrical based and produce sub-delta volumes that can later be used to generate manufacturing feature-based data for CAM in a single system via generations of algorithm through open source 3D CAD modeller. To map the generated sub-delta volume and respective machining process, part model complexity (PMC) is introduced. Errors of the overall delta volume (ΔODV) were calculated and verification of the proposed PMC is done. Furthermore, to minimize unit production cost, machining parameters including cutting speed (CS), feed rate (f) and depth of cut (d) were optimized for regular form surfaces by using firefly algorithm (FA). These parameters were then useful for tooling selections and tool-path planning. The results from the automatic feature recognitions show less than 0.02% of error in comparison of algorithm overall delta volume, (ODValg) and the manual calculation ODV, (ODVmanual). To validate the generated tool-path, G-codes generated in media package file (MPF) file format and verified through CNC lathe machine. Indeed, the developed algorithm was able to determine the minimum unit production cost of lathe machining part model. Therefore, a single automatic system that able to transfer CAD data into machining readable data through CAM data had been developed.
format Thesis
author Zubair, Ahmad Faiz
author_facet Zubair, Ahmad Faiz
author_sort Zubair, Ahmad Faiz
title Development Of Generative Computer-Aided Process Planning System For Lathe Machining
title_short Development Of Generative Computer-Aided Process Planning System For Lathe Machining
title_full Development Of Generative Computer-Aided Process Planning System For Lathe Machining
title_fullStr Development Of Generative Computer-Aided Process Planning System For Lathe Machining
title_full_unstemmed Development Of Generative Computer-Aided Process Planning System For Lathe Machining
title_sort development of generative computer-aided process planning system for lathe machining
publishDate 2019
url http://eprints.usm.my/48104/1/Development%20Of%20Generative%20Computer-Aided%20Process%20Planning%20System%20For%20Lathe%20Machining.pdf
http://eprints.usm.my/48104/
_version_ 1717094501851332608
score 13.211869

Similar Items