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OPTIMIZATION OF MACHINING PERFORMANCE IN DRY END MILLING OF INCONEL 601.

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Title: OPTIMIZATION OF MACHINING PERFORMANCE IN DRY END MILLING OF INCONEL 601.
Authors: Vukelic, D.1 ukelic@uns.ac.rs, Milosevic, A.1, Kanovic, Z.1, Sokac, M.1, Santosi, Z.1, Simunovic, G.2
Source: International Journal of Simulation Modelling (IJSIMM). Jun2026, Vol. 25 Issue 2, p294-305. 12p.
Subjects: Surface roughness, Multi-objective optimization, Milling cutters, Nickel-chromium alloys, High-speed machining
Abstract: This study investigates the influence of helix angle, cutting speed, feed per tooth, radial depth of cut and axial depth of cut on surface roughness and material removal rate during dry end milling of Inconel 601. An I-optimal design of experiments was employed to develop a quadratic regression-based simulation model for surface roughness, while material removal rate was determined analytically. Multi-objective optimization was performed to maximize material removal rate while satisfying target surface roughness levels corresponding to previously defined machining quality grades. The results indicate that higher helix angles, moderate cutting speeds, lower feed per tooth and lower depths of cut lead to improved surface roughness. Conversely, a reduction in the stringency of surface roughness requirements enables a significant increase in productivity by permitting the use of more aggressive milling parameters, including higher cutting speeds, feed per tooth and depths of cut. Confirmation experiments demonstrated good agreement between predicted and measured surface roughness values, with low prediction errors, confirming high predictive accuracy and model stability. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International 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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 194217260
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PubTypeId: academicJournal
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  Label: Title
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  Data: OPTIMIZATION OF MACHINING PERFORMANCE IN DRY END MILLING OF INCONEL 601.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Simulation+Modelling+%28IJSIMM%29%22">International Journal of Simulation Modelling (IJSIMM)</searchLink>. Jun2026, Vol. 25 Issue 2, p294-305. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Surface+roughness%22">Surface roughness</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Milling+cutters%22">Milling cutters</searchLink><br /><searchLink fieldCode="DE" term="%22Nickel-chromium+alloys%22">Nickel-chromium alloys</searchLink><br /><searchLink fieldCode="DE" term="%22High-speed+machining%22">High-speed machining</searchLink>
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  Label: Abstract
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  Data: This study investigates the influence of helix angle, cutting speed, feed per tooth, radial depth of cut and axial depth of cut on surface roughness and material removal rate during dry end milling of Inconel 601. An I-optimal design of experiments was employed to develop a quadratic regression-based simulation model for surface roughness, while material removal rate was determined analytically. Multi-objective optimization was performed to maximize material removal rate while satisfying target surface roughness levels corresponding to previously defined machining quality grades. The results indicate that higher helix angles, moderate cutting speeds, lower feed per tooth and lower depths of cut lead to improved surface roughness. Conversely, a reduction in the stringency of surface roughness requirements enables a significant increase in productivity by permitting the use of more aggressive milling parameters, including higher cutting speeds, feed per tooth and depths of cut. Confirmation experiments demonstrated good agreement between predicted and measured surface roughness values, with low prediction errors, confirming high predictive accuracy and model stability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International 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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      – Type: doi
        Value: 10.2507/IJSIMM25-2-769
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 294
    Subjects:
      – SubjectFull: Surface roughness
        Type: general
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Milling cutters
        Type: general
      – SubjectFull: Nickel-chromium alloys
        Type: general
      – SubjectFull: High-speed machining
        Type: general
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      – TitleFull: OPTIMIZATION OF MACHINING PERFORMANCE IN DRY END MILLING OF INCONEL 601.
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            NameFull: Milosevic, A.
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            NameFull: Kanovic, Z.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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