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008 220406t20212021my a|||fram|| 001 0 eng d
020 _aTHE0009287(Local)
040 _aUMP
_beng
_cUMP
_erda
090 _aKK .W35 2021 r Thesis
100 1 _aWajiha Tasnim Urmi,
_eauthor.
245 1 0 _aWear rate reduction mechanism of minimum quantity lubrication to enhance machinability using hybrid nano-coolant (TiO2- Al2O3) /
_cWajiha Tasnim Urmi
264 1 _aKuantan, Pahang :
_bUMP,
_c2021
264 4 _a© 2021
300 _axvii, 153 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD ROM
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aCollege of Engineering
502 _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2021
504 _aIncludes bibliographical references
520 3 _aIn the advanced manufacturing world, the applications of aluminium alloys are dramatically increasing in various engineering fields due to their exciting mechanical properties. The machining of aluminium alloy has the challenges of occurrences of tool wear, surface degradation forming built-up edge, adhesion due to high heat and friction at the contact zone. Hence, proper cooling and lubrication technique can improve machining efficiency by minimizing tool wear, friction, surface roughness. Recently, researchers have been giving priorities to the Minimum Quantity Lubrication (MQL) technique using minimum fluid compared to conventional coolant technique. Hence, the objective of this study to investigate machining performance in terms of the tool wear mechanism, including surface roughness, material removal rate and to develop multi-objective optimization of end milling of aluminium alloy with conventional flooded and hybrid nanofluid (HNF) MQL conditions. The TiO2-Al2O3 hybrid nanofluid is synthesized for volume concentration from 0.02 to 0.1% using the two-step synthesis method. The stability of hybrid nanofluids is assessed using zeta potential test, UV- Vis spectral analysis, sedimentation photograph and the thermophysical properties are measured for the temperature range of 30 to 80 oC. For machining central composite design of response surface methodology is followed. The study considers the flow rate of commercial mineral oil (added 5 % with water) as 30 L/min for the flooded condition and the flow rate of HNF as 0.3 to 1.2 ml/min for the HNF-MQL condition. The mechanism of tool wear is presented using SEM micrographs with EDX analysis as well as the interaction of tool wear with surface roughness and material removal rate is also analysed. The study reveals that the TiO2-Al2O3 hybrid nanofluid has a stability period of more than one month, showing standard zeta potential value (more than 30 mV), absorbance ratio (more than 80 %) with no apparent sedimentation. Besides, the new HNF also shows significant improvement of thermophysical properties in terms of thermal conductivity (37.44%) and viscosity (101.22 %). In the case of machining, second-order mathematical models of tool wear, including the surface roughness and material removal rate, are developed for both cooling conditions with excellent accuracy. Adhesion, abrasion marks, built-up edge, edge breakage or chipping are the significant wear of the study for both conditions. The performance of HNF-MQL machining in terms of considered response factors shows significant improvement compared to flood machining. Among all the response factors, tool wear (29 %) and surface roughness (30.13 %) noticeably improved for the application of HNF-MQL, followed by material removal rate (12.16 %). The material removal rate also shows consistency for the HNF-MQL condition. Besides, the tool wear mechanism shows a significant relationship with the efficiency of machining, revealing a significant interaction with surface roughness and material removal rate. Finally, from optimization results, tool wear is improved by 21.36 %, while the surface roughness is improved by 80.90%. Hence, experimental results revealed the prospective utilization of hybrid nanofluids in machining as coolant. Beneficial results of the study in HNF characterization terms and machining performance measures compared to flood machining suggest that researcher and engineers study and apply various types of HNF-based MQL technique in advanced manufacturing industries.
610 2 0 _aCollege of Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDissertations
650 0 _aTheses
942 _2lcc
_cTHESIS