محمد أسامة محمد حلمى
مدرس
Multi-objective optimization for CO2 laser micromachining of PMMA using Taguchi based grey relational analysis
• 2015
معلومات البحث
المؤلفون
Mohamed O Helmy, Ahmed MR Fath El-Bab, Hassan A El-Hofy
الكلمات المفتاحية
Not Available
المجلة العلمية
Not Available
الناشر
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المجلد
Not Available
العدد
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الصفحات
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publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
Direct laser ablation is cheap, fast, and flexible method used for the fabrication Lab on chip (LOC) devices. However, the thermal damages associated with such a process are considered a major limitation. This paper presents an experimental study of the effect of using CO2 laser micromachining on the fabrication of straight microchannels in polymethyl methacrylate (PMMA) substrate. Experiments were conducted in air (dry) and under water by leaving a thin water layer at the top surface of PMMA substrate. Taguchi’s experimental design with grey relational analysis was used for multi-objective optimization of laser parameters. Analysis of variance (ANOVA) was also employed to determine the most significant control factors that affect the performance characteristics. Laser power, scanning speed, and pulse rate are optimized with consideration of multiple performance characteristics, such as aspect ratio of microchannel, surface roughness, and heat affected zone (HAZ). The results indicated that laser power is the most significant factor on the performance characteristics followed by scanning speed and pulse rate. The improvement in performance characteristics approved the effectiveness of grey relational analysis approach for that purpose.
