Assessing the influence of hand-arm posture on mechanical responses of the human hand during drilling operation



Drilling is one of the important metal cutting processes in the industrial sectors. Though there are several research studies exclusively pertaining to drilling mechanism and the implications on materials, there are research voids that pertain to the driller’s hand-arm posture and the corresponding mechanical responses during the process. Considering the vitality of the ergonomics involved, the objective is framed to estimate the stresses acting on the hand while operating handheld drilling machine by different subjects and investigate the effects of various hand-arm postures on the stresses transmitted to the hands. Finger TPS—wireless tactile force sensor device—is employed for measuring the force exerted at the fingers while operating handheld cordless drilling machine. The nature of vibration transmitted to the human hand-arm system is affected by the contact force variation between a vibrating tool handle and the hand. The transmitted vibration will impose the stresses on the anatomical structure of the hand-arm system. In the present study, the dynamic response of a human hand to exert force during drilling task is analysed by three-dimensional finite element (FE) model of the human hand of a normal male. The model is developed from 3D reconstruction of CT scan images using the segmentation software, Mimics. The FE model contains the essential anatomical structures of a human hand. It includes both linear and nonlinear elements to represent rigid and elastic parts of the hand like the bones, tissues etc. Refined FE model is properly meshed, and analysis is carried out using finite element code ABAQUS. Preliminary results of the numerical analysis utilizing the developed model and qualitative evaluation are presented. Stress values are the highest while drilling in the extended forearm with the elbow at an angle of 180° and are followed by drilling objects located at a height above shoulder level.


HAVS CT scan Finger TPS Hand-arm posture 


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  1. 1.
    Rimella AN, Notinia L, Mansfield NJ, Edwards DJ (2007) Variation between manufacturers’ declared vibration emission values and those measured under simulated workplace conditions for a range of hand-held power tools typically found in the construction industry. Int J Ind Ergon 38(9–10):661–675Google Scholar
  2. 2.
    Griffin MJ (1997) Measurement, evaluation and assessment of occupational exposures to hand-transmitted vibration. Occupational & Environmental Medicine 54(2):73–89CrossRefGoogle Scholar
  3. 3.
    Ainsa I, Gonzalez D, Lizaranzu M, Bernad C (2011) Experimental evaluation of uncertainty in handle arm vibration measurements. Int J Ind Ergon 41(2):167–179CrossRefGoogle Scholar
  4. 4.
    ISO 5349–1. Mechanical vibrations. Measurement and evaluation of human exposure to hand-transmitted vibration. Part 1: general requirements.Google Scholar
  5. 5.
    Aldien Y, Marcotte P, Rakheja S, Boileau PE (2006) Influence of hand–arm posture on biodynamic response of the human hand–arm exposed to zh-axis vibration. Int J Ind Ergon 36(1):45–59CrossRefGoogle Scholar
  6. 6.
    Gíslason MK, Nash DH (2012) Finite element modelling of a multi-bone joint: the human wrist:77–98Google Scholar
  7. 7.
    Oè rtengren R, Cederqvist T, Lindberg M, Magnusson B (1991) Workload in lower arm and shoulder when using manual and powered screwdrivers at different working heights. Int J Ind Ergon 8(3):225–235CrossRefGoogle Scholar
  8. 8.
    Bhattacharya A, McGlothlin JD (2012) “Occupational ergonomics: theory and applications”, 2nd edition. Taylor & FrancisGoogle Scholar
  9. 9.
    Wu JZ, Dong RG, Rakheja S, Schopper AW (2002) Simulation of mechanical responses of fingertip to dynamic loading. Med Eng Phys 24(4):253–264CrossRefGoogle Scholar
  10. 10.
    Vergara M, Sancho JL, Rodrı’guez P, Gonza AP (2008) Hand-transmitted vibration in power tools: accomplishment of standards and users’ perception. Int J Ind Ergon 38(9–10):652–660CrossRefGoogle Scholar
  11. 11.
    Alonso ML, Torres RP, Aires MDM, Garcia JO (2013) Comparative analysis of exposure limit values of vibrating hand-held tools. Int J Ind Ergon 43(3):218–224CrossRefGoogle Scholar
  12. 12.
    Mehta RK, Agnew MJ (2010) Analysis of individual and occupational risk factors on task performance and biomechanical demands for a simulated drilling task. Int J Ind Ergon 40(4):584–591CrossRefGoogle Scholar
  13. 13.
    Dong RG, Schopper AW, McDowell TW, Welcome DE, Wu JZ, Smutz WP, Warren C, Rakheja S (2004) Vibration energy absorption (VEA) in human fingers-hand-arm system. Med Eng Phys 26(7):483–492CrossRefGoogle Scholar
  14. 14.
    Gurram R, Rakheja S, Brammer AJ (1995) Driving-point mechanical impedance of the human hand–arm system: synthesis and model development. J Sound Vib 180(3):437–458CrossRefGoogle Scholar
  15. 15.
    Shimawak S, Sakai N (2007) Quasistatic deformation analysis of a human finger using a 3-D finite element model constructed from CT images. Journal of Environmental and Engineering 2(1):56–63CrossRefGoogle Scholar
  16. 16.
    Lee YH, Cheng SL (1995) Triggering force and measurement of maximal finger flexion force. Int J Ind Ergon 15(3):167–177CrossRefGoogle Scholar
  17. 17.
    Radwin RG, Oh S (1992) External finger forces in submaximal five finger static pinch prehension. Ergonomics 35(3):275–288CrossRefGoogle Scholar
  18. 18.
    Chaturvedi V, Kumar A, Singh JK (2012) Power tiller: vibration magnitudes and intervention development for vibration reduction. Appl Ergon 43(5):891–901CrossRefGoogle Scholar

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© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringV.M.K.V. Engineering CollegeSalemIndia
  2. 2.Department of Mechanical EngineeringJayaram College of Engineering and TechnologyTrichyIndia

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