The application of scanning electron microscope and melt flow index for orange peel in laser sintering process

Wan Yusoff, Wan Ahmad Yusmawiza (2017) The application of scanning electron microscope and melt flow index for orange peel in laser sintering process. Indonesian Journal of Electrical Engineering and Computer Science, 6 (3). pp. 615-622. ISSN 2502-4752

	PDF - Published Version Restricted to Repository staff only Download (631kB) | Request a copy
	PDF (SCOPUS) - Supplemental Material Restricted to Repository staff only Download (70kB) | Request a copy

Abstract

In manufacturing, many products need to undergo increasing customisation, and a shortening of the manufacturing cycle time. This makes the time needed to produce prototypes one of the most important contributors to product development cycles. Rapid Prototyping (RP) offers the user the ability to optimise part design in order to meet customer requirements with few manufacturing restrictions. One of the most common RP processes is Laser Sintering (LS). A problem with LS is that sometimes the surface of the parts produced displays a texture similar to that of the skin of an orange (the so-called orange peel texture). This problem must be addressed before the technology can gain wider acceptance. The main aim of this research is to develop a methodology of controlling the input material properties that will ensure consistent and good quality of the fabricated parts. From the experiment, it was found that PA12 powder with high melt flow rate, low melting temperature, low glass transition temperature and low degree of crystallization temperature could improve the sintering process to produce a good Laser Sintering (LS) parts with lower shrinkage rate. The powder which has higher melt viscosity and lower melting heat becomes liquid more easily and therefore flows better during the sintering process due to a shorter chain molecular structure. The results of experimental work indicate that the melt viscosity, and part surface finish are correlated. © 2017 Institute of Advanced Engineering and Science

Item Type:	Article (Journal)
Additional Information:	3700/57570
Uncontrolled Keywords:	Biometrics system; Facial recognition; Multimodal; System reliability
Subjects:	Q Science > QK Botany T Technology > TA Engineering (General). Civil engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Dr WAN AHMAD YUSMAWIZA WAN YUSOFF
Date Deposited:	12 Jul 2017 10:40
Last Modified:	12 Jul 2017 10:40
URI:	http://irep.iium.edu.my/id/eprint/57570

Actions (login required)

View Item