Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining

N. A. Fountas; S. Živković; R. Benhadj-Djilali; C. I. Stergiou; V. D. Majstorovic; N. M. Vaxevanidis

doi:10.1007/978-3-319-56430-2_25

Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining

N. A. Fountas, S. Živković, R. Benhadj-Djilali, C. I. Stergiou, V. D. Majstorovic, N. M. Vaxevanidis

Research output: Contribution to conference › Paper › peer-review

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Abstract

This paper investigates the profitability of a dual-curve driven surface finish tool path under the concept of optimizing crucial machining parameters such as toroidal end-mill diameter, lead angle and tilt angle. Surface machining error as well as tool path time are treated as optimization objectives under a multi-criteria sense, whilst a central composite design is conducted to obtain experimental outputs for examination and, finally, fit a full quadratic model considered as the fitness function for process optimization by means of a genetic algorithm. A benchmark sculptured surface given as a second-order parametric equation was tested and simulated using a cutting-edge manufacturing modeling software and best parameters recommended by the genetic algorithm were implemented for validation. Further assessment involves the virtual inspection to selected profile sections on the part. It was shown that the approach can produce dual-curve driven tool trajectories capable of eliminating sharp scallop heights, maximizing machining strip widths as well as maintaining smoothness quality and machining efficiency.

Original language	English
DOIs	https://doi.org/10.1007/978-3-319-56430-2_25
Publication status	Published - Jun 2017
Event	5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH) - Belgrade, Serbia Duration: 5 Jun 2017 → 9 Jun 2017

Conference

Conference	5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH)
Period	5/06/17 → 9/06/17

Bibliographical note

Note: Published as: Fountas N.A., ┼¢ivković S., Benhadj-Djilali R., Stergiou C.I., Majstorovic V.D., Vaxevanidis N.M. (2017) Intelligent Dual Curve-Driven Tool Path Optimization and Virtual CMM Inspection for Sculptured Surface CNC Machining. In: Majstorovic V., Jakovljevic Z. (eds) Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies. NEWTECH 2017. Lecture Notes in Mechanical Engineering. Springer, Cham, pp.345-356. ISBN: 9783319564296, ISSN: 2195-4356.

Organising Body: University of Belgrade, Serbia

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

10.1007/978-3-319-56430-2_25

Fountas-N-A-38133-AAMAccepted author manuscript, 869 KBLicence: Unspecified

https://doi.org/10.1007/978-3-319-56430-2_25

Cite this

Fountas, N. A., Živković, S., Benhadj-Djilali, R., Stergiou, C. I., Majstorovic, V. D., & Vaxevanidis, N. M. (2017). Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining. Paper presented at 5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH). https://doi.org/10.1007/978-3-319-56430-2_25

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title = "Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining",

abstract = "This paper investigates the profitability of a dual-curve driven surface finish tool path under the concept of optimizing crucial machining parameters such as toroidal end-mill diameter, lead angle and tilt angle. Surface machining error as well as tool path time are treated as optimization objectives under a multi-criteria sense, whilst a central composite design is conducted to obtain experimental outputs for examination and, finally, fit a full quadratic model considered as the fitness function for process optimization by means of a genetic algorithm. A benchmark sculptured surface given as a second-order parametric equation was tested and simulated using a cutting-edge manufacturing modeling software and best parameters recommended by the genetic algorithm were implemented for validation. Further assessment involves the virtual inspection to selected profile sections on the part. It was shown that the approach can produce dual-curve driven tool trajectories capable of eliminating sharp scallop heights, maximizing machining strip widths as well as maintaining smoothness quality and machining efficiency.",

keywords = "Mechanical, aeronautical and manufacturing engineering",

author = "Fountas, \{N. A.\} and S. {\v Z}ivkovi{\'c} and R. Benhadj-Djilali and Stergiou, \{C. I.\} and Majstorovic, \{V. D.\} and Vaxevanidis, \{N. M.\}",

note = "Note: Published as: Fountas N.A., ┼¢ivkovi{\'c} S., Benhadj-Djilali R., Stergiou C.I., Majstorovic V.D., Vaxevanidis N.M. (2017) Intelligent Dual Curve-Driven Tool Path Optimization and Virtual CMM Inspection for Sculptured Surface CNC Machining. In: Majstorovic V., Jakovljevic Z. (eds) Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies. NEWTECH 2017. Lecture Notes in Mechanical Engineering. Springer, Cham, pp.345-356. ISBN: 9783319564296, ISSN: 2195-4356. Organising Body: University of Belgrade, Serbia; 5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH) ; Conference date: 05-06-2017 Through 09-06-2017",

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doi = "10.1007/978-3-319-56430-2\_25",

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Fountas, NA, Živković, S, Benhadj-Djilali, R, Stergiou, CI, Majstorovic, VD & Vaxevanidis, NM 2017, 'Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining', Paper presented at 5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH), 5/06/17 - 9/06/17. https://doi.org/10.1007/978-3-319-56430-2_25

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T1 - Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining

AU - Fountas, N. A.

AU - Živković, S.

AU - Benhadj-Djilali, R.

AU - Stergiou, C. I.

AU - Majstorovic, V. D.

AU - Vaxevanidis, N. M.

N1 - Note: Published as: Fountas N.A., ┼¢ivković S., Benhadj-Djilali R., Stergiou C.I., Majstorovic V.D., Vaxevanidis N.M. (2017) Intelligent Dual Curve-Driven Tool Path Optimization and Virtual CMM Inspection for Sculptured Surface CNC Machining. In: Majstorovic V., Jakovljevic Z. (eds) Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies. NEWTECH 2017. Lecture Notes in Mechanical Engineering. Springer, Cham, pp.345-356. ISBN: 9783319564296, ISSN: 2195-4356. Organising Body: University of Belgrade, Serbia

PY - 2017/6

Y1 - 2017/6

N2 - This paper investigates the profitability of a dual-curve driven surface finish tool path under the concept of optimizing crucial machining parameters such as toroidal end-mill diameter, lead angle and tilt angle. Surface machining error as well as tool path time are treated as optimization objectives under a multi-criteria sense, whilst a central composite design is conducted to obtain experimental outputs for examination and, finally, fit a full quadratic model considered as the fitness function for process optimization by means of a genetic algorithm. A benchmark sculptured surface given as a second-order parametric equation was tested and simulated using a cutting-edge manufacturing modeling software and best parameters recommended by the genetic algorithm were implemented for validation. Further assessment involves the virtual inspection to selected profile sections on the part. It was shown that the approach can produce dual-curve driven tool trajectories capable of eliminating sharp scallop heights, maximizing machining strip widths as well as maintaining smoothness quality and machining efficiency.

AB - This paper investigates the profitability of a dual-curve driven surface finish tool path under the concept of optimizing crucial machining parameters such as toroidal end-mill diameter, lead angle and tilt angle. Surface machining error as well as tool path time are treated as optimization objectives under a multi-criteria sense, whilst a central composite design is conducted to obtain experimental outputs for examination and, finally, fit a full quadratic model considered as the fitness function for process optimization by means of a genetic algorithm. A benchmark sculptured surface given as a second-order parametric equation was tested and simulated using a cutting-edge manufacturing modeling software and best parameters recommended by the genetic algorithm were implemented for validation. Further assessment involves the virtual inspection to selected profile sections on the part. It was shown that the approach can produce dual-curve driven tool trajectories capable of eliminating sharp scallop heights, maximizing machining strip widths as well as maintaining smoothness quality and machining efficiency.

KW - Mechanical, aeronautical and manufacturing engineering

UR - http://link.springer.com/chapter/10.1007/978-3-319-56430-2_25

U2 - 10.1007/978-3-319-56430-2_25

DO - 10.1007/978-3-319-56430-2_25

M3 - Paper

T2 - 5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH)

Y2 - 5 June 2017 through 9 June 2017

ER -

Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining

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Keywords

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Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining

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