Investigation of the drilling behavior of the Ti6Al4V alloy and developing prediction model using artificial neural network
Published 2023 View Full Article
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Title
Investigation of the drilling behavior of the Ti6Al4V alloy and developing prediction model using artificial neural network
Authors
Keywords
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Journal
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
Volume -, Issue -, Pages -
Publisher
SAGE Publications
Online
2023-11-03
DOI
10.1177/09544089231207418
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- Investigation of the effects of drill geometry on drilling performance and hole quality
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- Experimental characterisation of the performance of hybrid cryo-lubrication assisted turning of Ti–6Al–4V alloy
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- Optimization of drilling parameters for drilling of TI-6Al-4V based on surface roughness, flank wear and drill vibration
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- Performance analysis of new external chip breaker for efficient machining of Inconel 718 and optimization of the cutting parameters
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- High-throughput dry drilling of titanium aluminide
- (2016) Nithin Tom Mathew et al. MATERIALS AND MANUFACTURING PROCESSES
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- (2016) Suman Chatterjee et al. SIMULATION MODELLING PRACTICE AND THEORY
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- Effect of cryogenic treatment applied to M42 HSS drills on the machinability of Ti-6Al-4V alloy
- (2015) Turgay Kivak et al. Materiali in Tehnologije
- Optimization of drilling parameters using Taguchi technique and response surface methodology (RSM) in drilling of AISI 304 steel with cryogenically treated HSS drills
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