Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Zain, Azlan Mohd
- Improving Simplification Performance using FSA : Experimental Result
Abstract Views :162 |
PDF Views:0
Authors
Affiliations
1 Faculty of Computing, Universiti Teknologi Malaysia, Skudai 81310, Johor, MY
2 Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai 81310 Johor, MY
1 Faculty of Computing, Universiti Teknologi Malaysia, Skudai 81310, Johor, MY
2 Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai 81310 Johor, MY
Source
Indian Journal of Science and Technology, Vol 9, No 47 (2016), Pagination:Abstract
Simplification is generally eliminating unnecessary characteristics of the object without distortion the original shape of the object. Tolerance value is an important parameter needs to be considered produce a good result of simplification process. The current model of simplification has difficulty to execute simplification process in a short time and unable to determine the best tolerance value for simplification process. Fish Swarm Algorithm (FSA) one of the swarm intelligent algorithms with capability of estimating optimum solution shortly was executed in standard simplification design namely FSASimplification. Besides to improve performance of standard simplification, FSA-Simplification is proposed to determine the most optimum and best quality of tolerance value for simplification process. Therefore, this paper carries out the experimental for both simplification models. The roads in Miri, Sarawak with scale ratio 1:1000 is used for simplification process and be displayed in polyline data type. The result shows FSA-simplification has reduced the computing time by 9% till 12% that leads to a better simplification result compared to standard simplification. This performance indicates FSA-Simplification has given a better quality of simplification result. Besides that, 10 and 20 are the optimum value and best choice of tolerance value for simplification process. This performance indicates FSA-Simplification has given a better quality of simplification result.Keywords
Cartography Generalization, Fish Swarm Algorithm, Map Object, Simplification Process, Tolerance Value.- A Study of Dimensional Accuracy on Die Sinking Electrical Discharge Machining of Ti-6AL-4V
Abstract Views :180 |
PDF Views:0
Authors
Affiliations
1 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, Skudai - 81310, Johor, MY
2 Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai - 81310 Johor, MY
1 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, Skudai - 81310, Johor, MY
2 Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai - 81310 Johor, MY
Source
Indian Journal of Science and Technology, Vol 10, No 12 (2017), Pagination:Abstract
Objectives: In this work, an investigation of dimensional accuracy (DA) on the die sinking electrical discharge machining (EDM) of Ti-6AL-4V titanium alloy with positive polarity of copper-tungsten (Cu-W) electrode has been carried out. Methods/Analysis: Pulse on time (ON), pulse off time OFF), peak current (IP) and servo voltage (SV) were selected as the cutting parameters. The experiments have been conducted upon the two levels of full factorial design with added four center points Design of Experiments (DOE). A mathematical model is developed to associate the effects of these four cutting parameters with DA of the work piece. Multiple linear regression modelling technique was performed in the mathematical modelling process. Furthermore, Analysis of Variance (ANOVA) technique was performed to determine the significance of the cutting parameters. Findings: Based on the results, ON, IP and SV were found to be the significant cutting parameters contributes to the DA. This finding also indicates the model developed is observed to be in good simultaneous with the experimental results.Keywords
Copper Tungsten, Dimensional Accuracy, Electrical Discharge Machining, Titanium Alloy.- Roundness Error Study in Deep Hole Drilling of Cold Mold Steel 718
Abstract Views :128 |
PDF Views:0
Authors
Azizah Mohamad
1,
Azlan Mohd Zain
1,
Nor Bahiah Hj. Ahmad
1,
Noordin Mohd Yusof
2,
Farhad Najarian
2
Affiliations
1 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, MY
2 Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, MY
1 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, MY
2 Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, MY