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        <identifier>oai:figshare.com:article/32314779</identifier>
        <datestamp>2026-05-26T03:41:04Z</datestamp>
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          <dc:title>Titanium turning data</dc:title>
          <dc:creator>Tanujai Navaneethan (17336497)</dc:creator>
          <dc:subject>Machining</dc:subject>
          <dc:subject>Ti-6Al-4V</dc:subject>
          <dc:subject>Conventional Turning</dc:subject>
          <dc:subject>Sustainability</dc:subject>
          <dc:subject>Surface Roughness</dc:subject>
          <dc:description>The Titanium alloy (Ti-6Al-4V) has gained immense importance in the manufacturing 
industry due to its superior characteristics, including a high strength-to-weight ratio, high 
toughness, and excellent corrosion resistance. However, its inherent properties such as low 
thermal conductivity, low elastic modulus, high hardness at elevated temperatures, and high 
chemical reactivity make it exceptionally challenging to machine. This difficulty often leads 
major businesses to invest heavily in developing cost-reduction methods. Ti-6Al-4V alloy is 
the traditional and most widely used Ti-alloy, constituting over 45% of all Ti produced.  
The primary aim of this research was to conduct real life experimental analysis on the 
sustainable turning of Ti-6Al-4V using coated carbide cutting tools with variable nose radii to 
determine the optimum cutting parameters for better surface roughness and to analyse the 
resulting chip morphology. Furthermore, the theoretical tool life and the relationship between 
parameters have been analysed. The methodology involved 45 physical experimental 
analyses conducted on a Ti-6Al-4V bar using a Harrison M400 conventional lathe and coated 
carbide inserts with nose radii of 0.40 mm, 0.80 mm, and 1.20 mm. The parameter ranges 
investigated were cutting speeds between 50-160 m/min, feed rates between 0.05-0.18 
mm/rev, and depths of cut between 0.1-1 mm. Surface roughness was the key 
dependent/response parameter, measured using a Taylor Hobson Surtronic 3+ instrument. 
The gathered data have been analysed using Design Expert software (Stat-Ease 360) to 
create 3D graphs and validate the statistical significance of the models. 
The results demonstrated that the nose radius and feed rate were the most statistically 
significant parameters influencing surface roughness, as confirmed by ANOVA analysis. Both 
the 3D surface plots and the theoretical relationship confirmed that is inversely proportional to 
the nose radius and rises nonlinearly and quickly with increasing feed rate. The 1.20 mm nose 
radius insert consistently produced a smoother surface finish compared to the smaller radii. 
Cutting speed and depth of cut had less significant effects on surface roughness within the 
optimum range tested. 
i 
Theoretical tool life analysis confirmed an inverse relationship where tool life decreases as 
cutting speed, feed rate, or depth of cut increase. The chips produced were characteristic of 
difficult-to-machine materials like Ti-6Al-4V, identified as serrated chips.Serrated chips 
produced characterised that Ti-6Al-4V is a difficult to machine material. Chip entanglement, 
which impairs machining efficiency, was observed at higher cutting speeds and depths of cut. 
This research aligns with the United Nations Sustainable Development Goal 12, 
promoting sustainable industrial practices by focusing on efficient machining processes.The 
significance of this research is to provide the manufacturing industry and  Researchers with 
optimal process data. Secondly, to showcase the importance of physical machining compared 
to current mathematical models, simulation techniques and cooling methods.&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-05-26T03:41:04Z</dc:date>
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          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25946/32314779.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Titanium_turning_data/32314779</dc:relation>
          <dc:rights>GPL 2.0+</dc:rights>
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