Tool Wear and Temperatures Analysis While Machining Ti-6Al-4V in MQCL-MIST Environment

Sustainable machining of titanium alloys have deficiency of studies on the built-up edges over the cutting tools and temperature correlation in minimum quantity cooling lubrication (MQCL) environment. Researchers focused on experimentation in dry, wet, and MQL (minimum quantity lubrication) conditio...

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Bibliographic Details
Published in:International journal of system dynamics applications 2021-01, Vol.10 (1), p.31-47
Main Authors: Lakshmi, V V. K, Subbaiah, K V, Vikram, K Arun, Suresh, K, Prasad, R D. V
Format: Article
Language:English
Subjects:
Correlation
Cutting force
Cutting parameters
Cutting tools
Cutting wear
Goodness of fit
Lubrication
Machining
Process parameters
Regression models
Surface finish
Temperature effects
Titanium
Titanium alloys
Titanium base alloys
Tool wear
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Summary:Sustainable machining of titanium alloys have deficiency of studies on the built-up edges over the cutting tools and temperature correlation in minimum quantity cooling lubrication (MQCL) environment. Researchers focused on experimentation in dry, wet, and MQL (minimum quantity lubrication) conditions to analyze surface finish, cutting forces, and metal removal rates. This work focuses on the study of cutting parameters effects on temperatures and tool wear analysis by consideration of individual response and their optimality basing on signal-to-noise ratios. Efficacy of process parameters on wear of tool and temperatures requires a comprehensive understanding. An elaborated tool wear analysis is carried based on the microscopic flank wear investigations. Machining of Ti-6Al-4V alloy is carried in the environment of MQCL in form of mist using semi-synthetic fluid. Correlation study of tool wear with regard to temperatures is analyzed and regression models generated on tool wear and cutting temperatures individually showed 83% of goodness-of-fit and correlation regression is 85%.
ISSN:2160-9772
2160-9799
DOI:10.4018/IJSDA.2021010103