Computational laser micromachining for machining PMMA

Laser micromachining has many technological advantages compared to conventional technologies, including design flexibility, production of complex shape and possibility of rapid prototyping. Typical problems that may be faced with laser micromachining are laser-induced debris, large heat-affected zon...

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Main Author:	Tiong, Chung Shia
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1501/ http://umpir.ump.edu.my/id/eprint/1501/ http://umpir.ump.edu.my/id/eprint/1501/1/Tiong%2C_Chung_Shia_%28_CD_5024_%29.pdf

id	ump-1501
recordtype	eprints
spelling	ump-15012015-03-03T07:51:27Z http://umpir.ump.edu.my/id/eprint/1501/ Computational laser micromachining for machining PMMA Tiong, Chung Shia TJ Mechanical engineering and machinery Laser micromachining has many technological advantages compared to conventional technologies, including design flexibility, production of complex shape and possibility of rapid prototyping. Typical problems that may be faced with laser micromachining are laser-induced debris, large heat-affected zone and laser penetration depth. Frequently, high quality components are obtained by chance or at the expense of time and money due to inaccessible machining dimension, improper set of process parameter and large uncertainty in the process itself. To solve these problems, virtual laser micromachining with the aid of computational model is greatly desirable. This thesis presents a computational laser micromachining model for machining Polymethyl Methacrylate (PMMA). Laser micromachining parameters considered were laser power, spatial velocity and spot size. Finite element models were developed to simulate laser micromachining of PMMA. Time-dependent thermal analysis was used as analysis type. The geometry of the computational model is limited to two-dimensional (2-D) model and uniform mesh design is used. Material was modeled as isotropic and properties were obtained from literature. From result, the computational model was validated by comparing computed size of major cutting zone with experimental result. After validation, laser micromachining was simulated for varying laser parameters generated by design of experiment (DOE) in STATISTICA. These results will be analyzed in STATISTICA and the feasible process parameters were identified. Different parameter combinations provide different contour pattern and different size of major cutting zone. Laser power was found to be the most significant effect to the size of major cutting zone, followed by laser spot size and spatial velocity. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1501/1/Tiong%2C_Chung_Shia_%28_CD_5024_%29.pdf Tiong, Chung Shia (2010) Computational laser micromachining for machining PMMA. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:52285&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Tiong, Chung Shia Computational laser micromachining for machining PMMA
description	Laser micromachining has many technological advantages compared to conventional technologies, including design flexibility, production of complex shape and possibility of rapid prototyping. Typical problems that may be faced with laser micromachining are laser-induced debris, large heat-affected zone and laser penetration depth. Frequently, high quality components are obtained by chance or at the expense of time and money due to inaccessible machining dimension, improper set of process parameter and large uncertainty in the process itself. To solve these problems, virtual laser micromachining with the aid of computational model is greatly desirable. This thesis presents a computational laser micromachining model for machining Polymethyl Methacrylate (PMMA). Laser micromachining parameters considered were laser power, spatial velocity and spot size. Finite element models were developed to simulate laser micromachining of PMMA. Time-dependent thermal analysis was used as analysis type. The geometry of the computational model is limited to two-dimensional (2-D) model and uniform mesh design is used. Material was modeled as isotropic and properties were obtained from literature. From result, the computational model was validated by comparing computed size of major cutting zone with experimental result. After validation, laser micromachining was simulated for varying laser parameters generated by design of experiment (DOE) in STATISTICA. These results will be analyzed in STATISTICA and the feasible process parameters were identified. Different parameter combinations provide different contour pattern and different size of major cutting zone. Laser power was found to be the most significant effect to the size of major cutting zone, followed by laser spot size and spatial velocity.
format	Undergraduates Project Papers
author	Tiong, Chung Shia
author_facet	Tiong, Chung Shia
author_sort	Tiong, Chung Shia
title	Computational laser micromachining for machining PMMA
title_short	Computational laser micromachining for machining PMMA
title_full	Computational laser micromachining for machining PMMA
title_fullStr	Computational laser micromachining for machining PMMA
title_full_unstemmed	Computational laser micromachining for machining PMMA
title_sort	computational laser micromachining for machining pmma
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1501/ http://umpir.ump.edu.my/id/eprint/1501/ http://umpir.ump.edu.my/id/eprint/1501/1/Tiong%2C_Chung_Shia_%28_CD_5024_%29.pdf
first_indexed	2023-09-18T21:54:41Z
last_indexed	2023-09-18T21:54:41Z
_version_	1777414000138518528

Computational laser micromachining for machining PMMA

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