Skip to main content
Log in

Cutting forces and accuracy characterization during wood machining with serial robots

  • Original Article
  • Published:
European Journal of Wood and Wood Products Aims and scope Submit manuscript

Abstract

Studying the cutting forces during wood machining by a removal process is crucial to ensure high surface quality, maximum precision and to minimize chattering phenomena. Currently, industrial tasks and research works concerning using serial robots for wood machining are rare, which can be explained by the low stiffness of such machines. High cutting forces with low machine rigidity undeniably disturb robot behaviour during wood machining. The machined surface quality and machining process performance will be degraded, causing toolpath deviation and dimensional errors. Therefore, operating time and cost will be high. To overcome this issue, the present research focuses on how to ameliorate robotic wood machining by studying the link between cutting forces and accuracy while machining wood using a serial robot. This study deals with three major constraints, low robot accuracy, low stiffness and high cutting forces.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Abdullah L, Jamaludin Z, Chiew TH, Rafan NA (2013) Systematic method for cutting forces characterization for XY milling table ballscrew drive system. Int J Mech Mechatron Eng 12:28–33

    Google Scholar 

  • Abele E, Weigold M, Rothenbücher S (2007) Modeling and identification of an industrial robot for machining applications. CIRP Ann Manuf Technol 56(1):387–390

    Article  Google Scholar 

  • Aguilera A, Martin P (2001) Machining qualification of solid wood of Fagus silvatica L. and Picea excelsa L.: cutting forces, power requirements and surface roughness. Holz Roh- Werkst 59(6):483–488

    Article  Google Scholar 

  • Aguilera A, Meausoone PJ (2014) Inventory of experimental works on cutting tools’ life for the wood industry. Res Dev Wood Eng Technol 1(1):320–342

    Google Scholar 

  • Aguilera A, Meausoone PJ, Martin P (2000) Wood material influence in routing operations: the MDF case. Holz Roh Werkst 58(4):278–283

    Article  Google Scholar 

  • Axelsson BOM (1994) Lateral cutting force during machining of wood due to momentary disturbances in the wood structure and degree of wear of the cutting tool. Holz Roh0 Werkst 52(3):198–204

    Article  Google Scholar 

  • Boucher J, Meausoone PJ, Martin P, Auchet S, Perrin L (2007) Influence of helix angle and density variation on the cutting force in wood-based products machining. J Mater Process Technol 189(1–3):211–218

    Article  CAS  Google Scholar 

  • Boughedaoui R, Belaidi I, Ouali M (2014). Modélisation des vibrations d’usinage. In: International conference of modeling and simulation. ETB Blida Algeria

  • Dardouri F, Abba G (2015) Etude de l’erreur de positionnement de l’outil dans le procédé de soudage FSW robotisé (study of tool position error during friction welding with robot machine). In: 22nd French Congress of Mechanics, 24–28 August, Lyon

  • Doukas C, Pandremenos J, Stavropoulos P, Foteinopoulos P, Chryssolouris G (2012) On an Empirical Investigation of the Structural Behavior of Robots. In: 45th CIRP conference on manufacturing systems. Procedia CIRP, vol 3, pp 501–506

  • Doukas C, Stavropoulos P, Papacharalampopoulos A, Foteinopoulos P, Vasiliadis E, Chryssolouris G (2013) On the estimation of tool-wear for milling operations based on multi-sensorial data. In: 14th CIRP conference on modelling of machining operations (CIRP CMMO) Procedia CIRP, vol 8, pp 415–420

  • Dumas C, Caro S, Garnier S, Furet B (2011) Joint stiffness identification of six-revolute industrial serial robots. Robot Comput Integr Manuf 27(4):881–888

    Article  Google Scholar 

  • Eyma F, Meausoone PJ, Martin P (2004) Strains and cutting forces involved in the solid wood rotating cutting process. J Mater Process Technol 148(2):220–225

    Article  Google Scholar 

  • Eyma F, Meausoone PJ, Larricq P, Marchal R (2005) Utilization of a dynamometric pendulum to estimate cutting forces involved during routing. Comparison with actual calculated values. Ann For Sci 62(5):441–447

    Article  Google Scholar 

  • Ferretti G, Magnani G, Rocco P (1999) Force oscillations in contact motion of industrial robots: an experimental investigation. IEEE/ASME Trans Mechatron 4(1):86–91

    Article  Google Scholar 

  • Franz NC (1958) An analysis of the wood-cutting process. University of Michigan

  • Gerstmann U (1991) Robotergenauigkeit: Der Getriebeeinfluß auf die Arbeits- und Positioniergenauigkeit (robot accuracy: the gear influences on the working and positioning accuracy). Hannover University (ISBN: 318401218)

  • Hernàndez RE, Kuljich S, Koubaa A (2010) Effect of cutting width and cutting height on the the surface quality of black spruce cants produced by a chipper canter. Wood Fiber Sci 42(3):273–284

    Google Scholar 

  • Hosoda K, Igarashi K, Asada M (1998) Adaptive hybrid control for visual and force servoing in an unknown environment. IEEE Robot Autom Mag 5(4):39–43

    Article  Google Scholar 

  • Jin W, Cai L (1997) Study on the normal component force in oblique cutting of wood. Holz Roh- Werkst 55(2–4):118–120

    Article  Google Scholar 

  • Kim T, Sarma SE (2002) Toolpath generation along directions of maximum kinematic performance; a first cut at machine-optimal paths. Comput Aided Des 34(16):453–468

    Article  Google Scholar 

  • King B, Foschi RO (1969) Crossed-ring dynamometer for direct force resolution into three orthogonal components. Int J Mach Tool Des Res 9(4):345–356

    Article  Google Scholar 

  • Kollmann FFP, Coté WA (1968) Principles of wood science and technology (Vol. Solid Wood). Springer, Berlin

    Book  Google Scholar 

  • Kuljich S, Herna RE, Llave AM, Koubaa A (2013) Effects of cutting direction, Rake angle and depth of cut on cutting forces and surface quality during machining of balsam Fir. Wood Fiber Sci 45(2):195–205

    CAS  Google Scholar 

  • Landscheidt S, Kans M, Winroth M (2017) Opportunities for robotic automation in wood product industries: the supplier and system integrators’ perspective. Proc Manuf 11:233–240

    Google Scholar 

  • Matsuoka S, Shimizu K, Yamazaki N, Oki Y (1999) High-speed end milling of an articulated robot and its characteristics. J Mater Process Technol 95(1–3):83–89

    Article  Google Scholar 

  • McKenzie W (1961) Fundamental analysis of the wood-cutting process, vol 1. Departement of Wood Technology, School of Natural Resources, University of Michigan, Ann Arbor

    Google Scholar 

  • Néri AC, Gonçalves R, Hernàndez RE (1999) Forças de corte ortogonal 90–90 em três espécies de madeira de eucalipto do estado de São Paulo. (Orthogonal 90–90 cutting forces for three wood species of Eucalyptus). Revista Brasileira de Engenharia Agrícola e Ambiental 4(2):275–280

    Article  Google Scholar 

  • Pandremenos J, Doukas C, Stavropoulos P, Chryssolouris G (2011) Machining with robots: a critical review. In: 7th international conference on digital enterprise technology Athens, Greece Proceedings of DET, pp 1–9

  • Pliego-Jiménez J, Arteaga-Pérez MA (2015) Adaptive position/force control for robot manipulators in contact with a rigid surface with uncertain parameters. Eur J Control 22:1–12

    Article  Google Scholar 

  • Porankiewicz B, Goli G (2014) Cutting forces by Oak and Douglas Fir machining. Maderas Ciencia y Tecnología 16(2):199–216

    Google Scholar 

  • Qin J (2014) Commande hybride position/force robuste d’un robot manipulateur utilisé en usinage et/ou en soudage (Robust position/force hybrid control of a manipulator robot used in machining and / or welding). Doctoral thesis in automatics, Paris-Tech University

  • Rosenbauer T (1994) Getriebe für Industrieroboter, Beurteilungskriterien, Kenndaten, Einsatzhinweise. (Gearboxes for industrial robots, assessment criteria, key data, application notes). Aachen University (ISBN 3–8265–0398–8)

  • Sheikh-Ahmad JY, McKenzie WM (1997) Measurement of tool wear and dulling in the machining of particleboard. In: Proceedings of the 13th international wood machining seminar, Canada

  • Tiryaki S, Hamzaçebi C, Malkoçoğlu A (2015) Evaluation of process parameters for lower surface roughness in wood machining by using Taguchi design methodology. Holz Roh- Werkst 73(4):537–545

    Article  Google Scholar 

  • Woodson GE, Koch P (1970) Tool forces and chip formation in orthogonal cutting of loblolly pine. Southern Forest Experiment Station Forest Service U.S. Department of Agriculture

  • Zha XF (2002) Optimal pose trajectory planning for robot manipulators. Mech Mach Theory 37(10):1063–1086

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to express their sincerest and deepest appreciation to Julien LALLEMAND and Cyril DEHARBE and all Biatss team members for their technical support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Oussama Ayari.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ayari, O., Bouali, A. & Méausoone, PJ. Cutting forces and accuracy characterization during wood machining with serial robots. Eur. J. Wood Prod. 78, 767–775 (2020). https://doi.org/10.1007/s00107-020-01539-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00107-020-01539-4

Navigation