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Multi-objective optimization on the machining parameters for bio-inspired nanocoolant.
- Source :
-
Journal of Thermal Analysis & Calorimetry . Jan2019, Vol. 135 Issue 2, p1533-1544. 12p. - Publication Year :
- 2019
-
Abstract
- The emphasis of this paper is to evaluate the thermophysical properties of crystalline nanocellulose (CNC)-based nanofluid and the optimized machining parameters (cutting speed, feed rate and depth of cut) for machining using CNC-based nanofluid. Cutting tool temperature and formed chip temperature during machining are determined with CNC-based coolant and metal working fluid. Minimum quantity lubrication technique is used to minimize the usage of the coolant. Nanocellulose coolant with a concentration of 0.5% shows better thermal conductivity and viscosity. Total heat produced at the cutting tool and the temperature generated at the chip during machining shows significant improvement using CNC-based nanofluid. Statistical analysis reveals that feed rate and depth of cut contribute around 27.48% and 22.66% toward cutting temperature. Meanwhile, none of the parameters significantly affects the heat transfer. The multi-objective optimization reveals that the optimum parameter for machining using CNC-based nanocoolant is: cutting speed = 120, feed rate = 0.05 and depth of cut = 1.78 which produces heat transfer of 379.44 J and cutting temperature of 104.41 °C. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13886150
- Volume :
- 135
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Thermal Analysis & Calorimetry
- Publication Type :
- Academic Journal
- Accession number :
- 134806902
- Full Text :
- https://doi.org/10.1007/s10973-018-7693-x