Abstract
In owe to the global concern of environment growth and green production acts with use biodegradable and low consumption of lubrications the present paper deals use of MQL in turning EN 45 steel. Literacy over the use of effective production practices increases the efficiency of surface integrity and economical effect of production. With this aspect, the present study deals with of surface roughness characteristic generated while turning EN 45 graded spring steel with uncoated CNMG insert under MQL condition. A total of 27 experiments are performed on a CNC lathe under both Dry and MQL conditions. Surface roughness produced with varying in machining parameter of cutting speed (75, 100, 125 m/min), feed rate (0.1, 0.2, 0.3 mm/rev) and depth of cut (0.3, 0.6, 0.9 mm). Effect of induvial parameter over surface roughness is been clearly pictured out with the graphical representation with comparison under both DRY and MQL conditions. A mathematical model was generated with the experimental results for prediction of roughness within the limits of parameters. ANOVA analysis, feed shows a high contribution towards the surface roughness.
Highlights
With globally growth in production rate has simultaneously increased the use of lubricants to the production rate
The same author again conducted the experiment over AISI 1040 with same flow rates [6]
Signal to noise ratio is used to find the machine parameter performance effect on surface roughness in terms of percentage contribution (% cont) In the present study a total of 27 experiments are perform on EN45 material with uncoated tool under dry and MQL condition to study the effect of process parameter
Summary
With globally growth in production rate has simultaneously increased the use of lubricants to the production rate. This results almost 20 l/hr flood lubricating process Use of this MQL has improves the surface integrity and increase the tool life. The same author again conducted the experiment over AISI 1040 with same flow rates [6] In both the experimental runs, author could state the contribution of MQL over surface integrity. Signal to noise ratio is used to find the machine parameter performance effect on surface roughness in terms of percentage contribution (% cont) In the present study a total of 27 experiments are perform on EN45 material with uncoated tool under dry and MQL condition to study the effect of process parameter. In addition to that ANOVA analysis was performed to know the effect of process parameter during machining
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