Journal
JOURNAL OF MANUFACTURING PROCESSES
Volume 56, Issue -, Pages 75-86Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jmapro.2020.04.069
Keywords
MQL grinding; Grinding temperature; Surface topography; Droplet size; Microhardness; Grey relational analysis
Categories
Funding
- IIT (BHU) [IIT(BHU)/Dev/2013-14/5110/L]
- Institute Research Project [IIT(BHU)/R& D)/IRP/2015-16/2832]
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Nowadays, Minimum Quantity Lubrication (MQL) technique with eco-friendly groundnut oil is adopted in precision machining to tackle the operator health and environmental issues owing to petroleum based cutting fluid. The effectiveness of this technique depends on mixture quality of MQL mist. Hence, the objective of present work is to optimize the MQL mist parameters i.e. air pressure (P), flow rate (Q), and stand-off distance (d(s)) to minimize the effect of MQL based plunge grinding on hardened AISI H13 tool steel in terms of lowest grinding force, specific energy, grinding temperature, and surface roughness using grey relational analysis. Taguchi's L-16 orthogonal array was utilized for conducting the final experiments and mist parameters varied through four levels include P (2, 3, 4, and 5 bar), Q (50, 100, 150, and 200 L/h) and d(s) (40, 50, 60, and 70 mm). Further, experimental analysis was carried out to compare the effect of optimal and worst mist parameters on ground surface and microchip by using microhardness, scanning electron microscope, and atomic force microscopy. According to validation test, P: 4 bar, Q:200 mL/h, and d(s):50 mmare optimal mist parameters for multi-response variables of MQL grinding. Effective mist quality i.e. average droplet size of 51.03 mu m was obtained at nozzle angle of 12 degrees. Excellent ground surface quality with negligible microhardness variation and no wear tract microchip were observed under optimal mist setting.
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