PARAMETRIC OPTIMIZATION AND INDIRECT MONITORING OF FLANK WEAR IN TURNING –A CUTTING TOOL CHATTER APPROACH
Keywords:
Turning, Chatter, Taguchi’s Design of Experiment, Adaptive Genetic Algorithm, Simulated Annealing Algorithm, Memetic AlgorithmAbstract
The chatter in machining is an important topic in engineering, because its occurrence results in increasing flank wear, specific energy and surface roughness. The implementation issues and spindle system responses for cutting speed, feed rate, depth of cut, material hardness and non stop duration of machining are investigated in this analysis. This study analyzes the relation between the chatter frequency in machining and the weighted combined objective of the process which is used for implementing the monitoring of flank wear from the experimentally observed chatter frequency. The optimization techniques such as Design of Experiments (DoE), Adaptive Genetic Algorithm (AGA), Simulated Annealing Algorithm (SAA) and Memetic Algorithm (MA) are used in this analysis . The optimized combined objective values of different test conditions are correlated with the experimentally observed chatter frequency values of the corresponding test conditions, and it is well known that the monitoring of flank wear in machining is possible from the experimentally observed chatter frequency by considering surface roughness as constraint.
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References
Abu-Zahra H and Lango J H(2002), “Tool Chatter Monitoring in Turning Operations using Wavelet Analysis of Ultrasound Waves”, International Journal of Advanced Manufacturing Technology, Vol.20,248-254.
Nejat Olgac and Martin Hosek (2000), “A New Machine Tool Chatter”, Technical paper submitted in the Department of Mechanical Engineering, University of Connecticut, Storrs, Connecticut, 1-6.
Tamizharasan T and Kingston Barnabas J (2009), “Analysis of the Effects of Convective Heat Transfer on Cutting Tool Wear in Hard Turning”, ICAMB 2009 International Conference, VIT University, Vellore, India, 743-750.
Tamizharasan T and Kingston Barnabas J (2009), “Determination of Flank Wear in Turning – An Acoustic Emission Approach”, 2nd International Conference of Recent Advances in Materials Processing Technology, SME, India, 738-746.
Karthikeyan R (1999), “Analysis and Optimization of Machining Characteristics of Al/SiC Particulate Composites”, Ph.D Thesis, Department of Production Engineering, Annamalai University, Tamil nadu, India, 1-320.
Dereli T, Filish I H and Baykasoglu A (2001), “Optimizing Cutting Parameters in Process Planning of Prismatic Parts by using Genetic Algorithm”, International Journal of Production Research, Vol.39(15), 3303-3328.
Dongcheolkim, Sehunrhee and Hyunsung park (2002), “Modeling and Optimization of a GMA Welding Process by Genetic Algorithm and Response Surface Methodology”, International Journal of Production Research, Vol.40(7), 1699-1711.
