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Study on Atomization Characteristics of Droplet of Bio-Degradable Oil for End-Milling of Incoloy 925


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1 Indian Institute of Technology Delhi, New Delhi, India., India
     

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Minimum Quantity Lubrication (MQL) has been proved as an effective technique of lubrication and cooling in machining. However, evacuation of cutting temperature depends on the lubricant’s droplet quality, which is highly influenced by MQL setup parameters. This paper aims to study the effects of nozzle angle, nozzle distance, flow rate, and air pressure on the end milling performance of Incoloy 925. Orthogonal array (L9) is used for the design of experiments, and the influence of MQL parameters is analysed by ANOVA. Response surface methodology (RSM) has been used for a linear regression model, and Composite Desirability function has been utilized for optimization of parameters. ANOVA shows that flow rate has highest influence on both cutting force and surface roughness. Nozzle angle is having lowest influence on cutting force, while stand-off distance has the lowest influence on the surface roughness.

Keywords

MQL, Coconut Oil, Incoloy 925, End-Milling, RSM.
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  • Study on Atomization Characteristics of Droplet of Bio-Degradable Oil for End-Milling of Incoloy 925

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Authors

Shravan Kumar Yadav
Indian Institute of Technology Delhi, New Delhi, India., India
Sudarsan Ghosh
Indian Institute of Technology Delhi, New Delhi, India., India
Sivanandam Aravindan
Indian Institute of Technology Delhi, New Delhi, India., India

Abstract


Minimum Quantity Lubrication (MQL) has been proved as an effective technique of lubrication and cooling in machining. However, evacuation of cutting temperature depends on the lubricant’s droplet quality, which is highly influenced by MQL setup parameters. This paper aims to study the effects of nozzle angle, nozzle distance, flow rate, and air pressure on the end milling performance of Incoloy 925. Orthogonal array (L9) is used for the design of experiments, and the influence of MQL parameters is analysed by ANOVA. Response surface methodology (RSM) has been used for a linear regression model, and Composite Desirability function has been utilized for optimization of parameters. ANOVA shows that flow rate has highest influence on both cutting force and surface roughness. Nozzle angle is having lowest influence on cutting force, while stand-off distance has the lowest influence on the surface roughness.

Keywords


MQL, Coconut Oil, Incoloy 925, End-Milling, RSM.

References