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Lakshmi VVK, Subbaiah KV, Vikram KA, Suresh K, Prasad RDV. Tool Wear and Temperatures Analysis While Machining Ti-6Al-4V in MQCL-MIST Environment. International Journal of System Dynamics Applications 2021. [DOI: 10.4018/ijsda.2021010103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
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%.
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Affiliation(s)
- V. V. K. Lakshmi
- Department of Mechanical Engineering, GITAM Institute of Technology, Visakhapatnam, India
| | - K. V. Subbaiah
- Department of Mechanical Engineering, Andhra University, India
| | - K. Arun Vikram
- Department of Mechanical Engineering, GITAM Institute of Technology, Visakhapatnam, India
| | - K. Suresh
- Department of Mechanical Engineering, GITAM Institute of Technology, Visakhapatnam, India
| | - R. D. V. Prasad
- Department of Mechanical Engineering, GITAM Institute of Technology, Visakhapatnam, India
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Arun Vikram K, Ratnam C, Lakshmi VVK, Sunny Kumar A, Ramakanth RT. Application of dragonfly algorithm for optimal performance analysis of process parameters in turn-mill operations- A case study. ACTA ACUST UNITED AC 2018. [DOI: 10.1088/1757-899x/310/1/012154] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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