Optimization of roundness error in deep hole drilling using moth-flame optimization

• Main Authors: Kamaruzaman, Anis Farhan, Mohd. Zain, Azlan, Mohd. Yusof, Noordin, Nadjarian, Farhad, Abdul Jalil, Rozita
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/94360/; http://dx.doi.org/10.1063/5.0044916
• Institution: Universiti Teknologi Malaysia

This paper presents an experimental investigation of deep hole drilling using CNC milling machine. This experiment investigates the effect of machining parameters which are spindle speed, feed rate and depth of hole using minimum quantity lubricant on the roundness error. The experiment was designed using design of experiment (DoE) with two level full factorial and four center point. The regression analysis with two factor interaction model is applied for modelling process. Finally, the machining parameters are optimized using moth-flame optimization (MFO) in obtaining the minimum value of roundness error. The minimum value of roundness error for deep hole drilling is 0.0190 mm at the spindle speed is 700 rpm, feed rate is 50 mm/min, depth of hole is 650 mm and minimum quantity lubricant is 40ml/hr. The findings show that the moth-flame optimization (MFO) algorithm manage to estimate the roundness error in deep hole drilling as proven through the analysis and validation process.