Machinability Analysis and Optimization in Micro turning on tool wear for Titanium Alloy.

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Title: Machinability Analysis and Optimization in Micro turning on tool wear for Titanium Alloy.
Authors: Selvakumar, S.1 (AUTHOR) sdy.12@rediffmail.com, Sreebalaji, V. S.2 (AUTHOR), Ravikumar, K3 (AUTHOR)
Source: Materials & Manufacturing Processes. 2021, Vol. 36 Issue 7, p792-802. 11p.
Subjects: Titanium alloys, Machinability of metals, Response surfaces (Statistics), Space industrialization, Astronautics
Abstract: Micromachining is the essential technology for production of miniaturized parts and components, which plays a lot of roles in today's manufacturing technology with space limitations of products and economical aspects. In this investigation, response surface methodology with box-behnken design (BBD) is used to optimize the micro-turning parameters based on the relationships and interactions among the variables on tool wear. For conducting the experiment(s), three process parameters namely, cutting speed, feed, and depth of cut were considered and Titanium alloy is used as the base material with cermet insert. According to the design of matrix, totally 15 trials were conducted for different combinations of process parameters. The mathematical model is developed and as a role of process parameters, to calculate the output responses and the same were analyzed by using ANOVA with contour plots. In this paper, an investigation has been prepared for optimum machining conditions to produce the minimum tool wear 0.133 mm, and their optimized parameters cutting speed 3459 rpm, feed rate 7.4 µm/rev, with depth of cut 15 µm by 100% desirability. Among these optimal parameters, it minimizes the tool wear for the progress of tool life with suitability. [ABSTRACT FROM AUTHOR]
Copyright of Materials & Manufacturing Processes is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Machinability Analysis and Optimization in Micro turning on tool wear for Titanium Alloy.
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  Data: <searchLink fieldCode="JN" term="%22Materials+%26+Manufacturing+Processes%22">Materials & Manufacturing Processes</searchLink>. 2021, Vol. 36 Issue 7, p792-802. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Titanium+alloys%22">Titanium alloys</searchLink><br /><searchLink fieldCode="DE" term="%22Machinability+of+metals%22">Machinability of metals</searchLink><br /><searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Space+industrialization%22">Space industrialization</searchLink><br /><searchLink fieldCode="DE" term="%22Astronautics%22">Astronautics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Micromachining is the essential technology for production of miniaturized parts and components, which plays a lot of roles in today's manufacturing technology with space limitations of products and economical aspects. In this investigation, response surface methodology with box-behnken design (BBD) is used to optimize the micro-turning parameters based on the relationships and interactions among the variables on tool wear. For conducting the experiment(s), three process parameters namely, cutting speed, feed, and depth of cut were considered and Titanium alloy is used as the base material with cermet insert. According to the design of matrix, totally 15 trials were conducted for different combinations of process parameters. The mathematical model is developed and as a role of process parameters, to calculate the output responses and the same were analyzed by using ANOVA with contour plots. In this paper, an investigation has been prepared for optimum machining conditions to produce the minimum tool wear 0.133 mm, and their optimized parameters cutting speed 3459 rpm, feed rate 7.4 µm/rev, with depth of cut 15 µm by 100% desirability. Among these optimal parameters, it minimizes the tool wear for the progress of tool life with suitability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Materials & Manufacturing Processes is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/10426914.2020.1866198
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 792
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      – SubjectFull: Titanium alloys
        Type: general
      – SubjectFull: Machinability of metals
        Type: general
      – SubjectFull: Response surfaces (Statistics)
        Type: general
      – SubjectFull: Space industrialization
        Type: general
      – SubjectFull: Astronautics
        Type: general
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      – TitleFull: Machinability Analysis and Optimization in Micro turning on tool wear for Titanium Alloy.
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            NameFull: Sreebalaji, V. S.
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            NameFull: Ravikumar, K
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              M: 05
              Text: 2021
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