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Evaluation and Multi-Objective Optimisation of Cutting Parameters in Turning of AISI 1020 Mild Steel using Formulated Cutting Fluid


Osayamen Gregory Ehibor
Mathew Sunday Abolarin
Mohammed Baba Ndaliman
Aliyu Alhaji Abdullahi

Abstract

Input parameter like the cutting fluid is one of the requirements for minimal surface roughness, cutting temperature, tool wear
and optimal material removal rate coupled with improved machinability and productivity. The evaluation of the optimal factors of
surface roughness, material removal rate, cutting temperature and tool wear in the turning of AISI Mild Steel with the use of ecofriendly fluids. Concerns has been raise globally about the non - biodegradability and non-recyclability of the conventional fluids in the
research space. This prompted the research interest in replacing the mineral oil based fluids with eco-friendly cutting fluid such as
castor seed oil based cutting fluid (CBCF). The locally sourced castor seed oil was investigated for its physiochemical properties as well
as its fatty acid composition (FAC). The cutting fluid was formulated using ratio 1:9 of oil with additives to distilled water and then
characterized. In turning of AISI 1020 Mild Steel, the evaluation of surface roughness, material removal rate, cutting temperature and
tool wear under the CBCF compared to the mineral oil based cutting fluid (MBCF) were carried out using Taguchi experimental design
and Grey Relational Analysis (GRA) for multi-response optimization. The formulated cutting fluid showed pH value of 8.47, viscosity of
0.830 mm2 /s, good resistance to corrosion, good stability and milkfish in colour. From the GRA, the multi-response optimal factor combination under the CBCF is (1250 rev/min) spindle speed, (0.6 mm/rev) feed rate and (1.0 mm) depth of cut, all at level 3 while under  the MBCF, it also shows (1250 rev/min) spindle speed, (0.6 mm/rev) feed rate and (1.0 mm) depth of cut all at level 3. The parameters  from Taguchi and GRA results are in agreement with results from other vegetable oil based fluids and this study also contributes and  improves the science of machining.


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eISSN: 2645-2685
print ISSN: 2756-6811