Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/5818
Title: Artificial immune algorithm based gravimetric fluid dispensing machine
Authors: Yap, D.F.W. 
Koh, S.P. 
Tiong, S.K. 
Sim, E.Y.S. 
Yaw, M.W. 
Issue Date: 2011
Journal: Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 2011, Article number 6122140, Pages 406-410 
Abstract: One of the most prominent methods used in handling the end process for materials-mixing is by having a dispensing system. An effective dispensing method using Pulse Width Modulation (PWM) at the end of the dispensing sequence with Artificial Immune System (AIS) automatic dispensing parameter fine tuning capability is proposed by optimizing the components of Dispensing Time and Stopping Time Delay to obtain constant and accurate reading from the precision balance scale. Based on the new dispensing sequence, experimental tests had been carried out using different materials with varying viscosities. The results denote that the combination of both PWM and AIS techniques would minimize the error rate for overshooting while exhibiting better accuracy. These are important in order to overcome the limitations of the conventional volumetric dispensing and manual parameter tuning presently applied in the dispensing system used in the coatings industry. © 2011 IEEE.
DOI: 10.1109/HIS.2011.6122140
Appears in Collections:COE Scholarly Publication

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