MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS
Abstract
In this article, surface roughness, cutting forces and material removal rates of different materials are examined in different cutting conditions in turning operations. First, vibration characteristics (natural and chatter frequency, stiffness coefficient and damping ratio) are determined by different cutting tests. Surface roughness, material removal rate and cutting forces are measured during experiments. By using these experiments, five different hybrid multi-criteria decision making models are proposed. Cutting parameters are optimized by maximizing material removal rate and minimizing surface roughness and cutting force. This study will enable the operators and engineers to work more efficiently in the machining operations.
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References
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