Informatics Publishing Limited

Nur Fatin Liyana Mohd Rosely ¹, Azlan Mohd Zain ¹, Abdullah Hisham Omar ²

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

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.

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Nurezayana Zainal ¹, Azlan Mohd Zain ¹, Safian Sharif ², Haza Nuzly Abdul Hamed ¹

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

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.

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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

Abstract

Objective: The objective of this study is to investigate the experimental results of roundness error of machined holes using deep hole drilling process. The machining parameters include feed rate (f), spindle speed (s), depth of hole (d) and Minimum Quantity Lubrication MQL, (m). The work piece and tool material used in this study are Cold Mold Steel 718 and High Speed Steel, HSS (5mm diameter) with twist drill bit respectively. After that, to evaluate the quality of holes the roundness error has been used as machining performance. Method: A systematic approached based on Design of Experiment (DoE) was executed using Full Factorial design with added center point. Finding: Analysis of variance (ANOVA) was applied to the results to check the significance of the model. From the ANOVA analysis indicate that the model is significant for a confidence level of 0.05 or 95%.

Keywords

ANOVA, Cold Mold Steel 718, Deep Hole Drilling, Roundness Error.

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