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

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

Faculty of Engineering, Computing & the Environment

Kingston University
Military Technical Institute Belgrade
Technological Education Institute (TEI) of Piraeus
University of Belgrade
Laboratory of Manufacturing Processes and Machine Tools (LMPro-MaT)
School of Pedagogical and Technological Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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
Title of host publication	Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies
Subtitle of host publication	NEWTECH 2017
Editors	Vidosav Majstorovic, Zivana Jakovljevic
Place of Publication	Cham
Publisher	Springer Nature
Pages	345–356
ISBN (Electronic)	9783319564296
DOIs	https://doi.org/10.1007/978-3-319-56430-2_25
Publication status	Published - 23 Apr 2017
Event	5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH) - Belgrade, Serbia Duration: 5 Jun 2017 → 9 Jun 2017

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

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

Bibliographical note

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

Cite this

Fountas, N. A., Zivkovic, 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 V. Majstorovic, & Z. Jakovljevic (Eds.), Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies: NEWTECH 2017 (pp. 345–356). (Lecture Notes in Mechanical Engineering). Springer Nature. https://doi.org/10.1007/978-3-319-56430-2_25

Fountas, N. A. ; Zivkovic, S. ; Benhadj-Djilali, R. et al. / Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining. Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies: NEWTECH 2017. editor / Vidosav Majstorovic ; Zivana Jakovljevic. Cham : Springer Nature, 2017. pp. 345–356 (Lecture Notes in Mechanical Engineering).

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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. Zivkovic and R. Benhadj-Djilali and Stergiou, \{C. I.\} and Majstorovic, \{V. D.\} and Vaxevanidis, \{N. M.\}",

note = "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",

year = "2017",

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

language = "English",

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Fountas, NA, Zivkovic, 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. in V Majstorovic & Z Jakovljevic (eds), Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies: NEWTECH 2017. Lecture Notes in Mechanical Engineering, Springer Nature, Cham, pp. 345–356, 5th International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH), 5/06/17. https://doi.org/10.1007/978-3-319-56430-2_25

Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining. / Fountas, N. A.; Zivkovic, S.; Benhadj-Djilali, R. et al.
Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies: NEWTECH 2017. ed. / Vidosav Majstorovic; Zivana Jakovljevic. Cham: Springer Nature, 2017. p. 345–356 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

AU - Fountas, N. A.

AU - Zivkovic, S.

AU - Benhadj-Djilali, R.

AU - Stergiou, C. I.

AU - Majstorovic, V. D.

AU - Vaxevanidis, N. M.

N1 - Organising Body: University of Belgrade, Serbia

PY - 2017/4/23

Y1 - 2017/4/23

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

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M3 - Conference contribution

T3 - Lecture Notes in Mechanical Engineering

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EP - 356

BT - Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies

A2 - Majstorovic, Vidosav

A2 - Jakovljevic, Zivana

PB - Springer Nature

CY - Cham

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

Y2 - 5 June 2017 through 9 June 2017

ER -

Fountas NA, Zivkovic S, Benhadj-Djilali R, Stergiou CI, Majstorovic VD, Vaxevanidis NM. Intelligent dual curve-driven tool path optimization and virtual CMM inspection for sculptured surface CNC machining. In Majstorovic V, Jakovljevic Z, editors, Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies: NEWTECH 2017. Cham: Springer Nature. 2017. p. 345–356. (Lecture Notes in Mechanical Engineering). 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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