Yap, David F. W. and Koh, S. P. and Tiong, S. K. and Sim, Edwin Y. S. and Yaw, M. W. (2011) Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine. In: 11th International Conference on Hybrid Intelligent Systems 2011 (HIS 2011) , 5-8 December 2011, Melaka. (Submitted)
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ARTIFICIAL IMMUNE ALGORITHM BASED GRAVIMETRIC FLUID DISPENSING MACHINE-DR DAVID YAP KOOK WENG-MAK 00588 RAF.pdf Download (2MB) |
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.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Artificial intelligence, Image processing, Immune system -- Computer simulation |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
Divisions: | Faculty of Electronics and Computer Engineering |
Depositing User: | Users 4097 not found. |
Date Deposited: | 28 Dec 2017 08:13 |
Last Modified: | 28 Dec 2017 08:13 |
URI: | http://eprints.utem.edu.my/id/eprint/20215 |
Statistic Details: | View Download Statistic |
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