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Mallick, Bijan
- Modelling and Analysis on Performance of ECDM Process for the Fabrication of μ-Channels on Glass through Response Surface Methodology
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1 Production Engineering Department, Jadavpur University, Kolkata, W.B, IN
1 Production Engineering Department, Jadavpur University, Kolkata, W.B, IN
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Manufacturing Technology Today, Vol 18, No 9 (2019), Pagination: 39-51Abstract
The process electro-chemical discharge micro-machining can be utilized to produce micro-channels, micro-profiles, blind holes and miniature parts with ceramic, composite, quartz and glass. This research paper enlightens the development of micro-ECDM system and the influences of process variables like duty ratio (%), pulse frequency (Hz), electrolyte concentration (wt%) and applied voltage (V) on material removal rate (MRR), overcut (OC), heat affected zone (HAZ) and surface roughness (Ra) to improve the machining efficiency as well as better quality of surface integrity during micro-channel cutting on glass using spring feed mechanism in ECDM process. The mathematical models of above machining criteria are established with help of response surface methodology (RSM) and their adequacies have been justified through Analysis of Variance (ANOVA) test. This research article also emphasises on the single and multi-objective optimization to find out suitable parametric condition for micro-channel cutting on glass. MRR is found maximum at 55V/30wt%NaOH/40%/200Hz and better surface quality of μ-channel is achieved with higher machining depth at 35V/30wt%NaOH/60%/660Hz. Further, this research paper includes a qualitative analysis of micro-channels based on SEM and XRD analyses to identify the phase change, micro-cracks and presence of uncut silica debris in the channels.Keywords
ECDM, μ-Channel, RSM, Glass.
References
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- Experimental Analysis of Machining Performances of CNC Milling Using AlTiN Coated Tungsten Carbide Tool (WC)
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Authors
Affiliations
1 Mechanical Engineering Department, College of Engineering, Wasit University, Iraq ., IN
2 Mechanical Engineering Department, Global Institute of Management and Technology, Krishnanagar, Makaut - 741102, WB, India;, IN
1 Mechanical Engineering Department, College of Engineering, Wasit University, Iraq ., IN
2 Mechanical Engineering Department, Global Institute of Management and Technology, Krishnanagar, Makaut - 741102, WB, India;, IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 12 (2022), Pagination: 665 - 674Abstract
Higher accuracy and precision are highly demandable in modern industry through computer-aided manufacturing technology. The paper deals with the parametric analysis for helix angle(°), radial depth of cut (mm), axial depth of cut (mm) and cutting speed(m/min) as well as the second-order mathematical modelling for Surface Roughness (SR) as surface texture (Ra ), Tool Wear Rate (TWR) and machining rate as a form of Material Removal Rate (MRR) have been carried out. Analysis of Variances (ANOVA) is performed during helical profile cutting on cast iron based on modelling. Multi-response, as well as single objective optimization, has been done for finding the best process parameters setting for maximum MRR and minimum TWR and SR using desirability function analysis during profile cutting by advanced CNC milling. It is found that surface finish accuracy is increased with better surface quality and lower tool wear found with maximized MRR using AlTiN (aluminium titanium nitride) coated Tungsten carbide Tool (WC).Keywords
Accuracy, CNC Milling, Desirability Function Analysis, FG 200, MRR, Optimization, SR, TWRReferences
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