Research Papers

System-Level Modeling and Parametric Identification of Electric Impact Wrench

[+] Author and Article Information
Shengli Zhang

Department of Mechanical Engineering,
University of Connecticut,
191 Auditorium Road,
Unit 3139, Storrs, CT 06269

J. Tang

Department of Mechanical Engineering,
University of Connecticut,
191 Auditorium Road,
Unit 3139, Storrs, CT 06269
e-mail: jtang@engr.uconn.edu

1Corresponding author.

Manuscript received December 8, 2015; final manuscript received March 10, 2016; published online June 24, 2016. Assoc. Editor: Tony Schmitz.

J. Manuf. Sci. Eng 138(11), 111010 (Jun 24, 2016) (16 pages) Paper No: MANU-15-1644; doi: 10.1115/1.4033044 History: Received December 08, 2015; Revised March 10, 2016

Electric impact wrench is an important tool used in manufacturing and maintenance services. It has complex mechanism and its operation involves dynamic events occurring at vastly different time scales, which poses challenges for efficient and accurate modeling to facilitate design optimization and control. This investigation establishes a first principle-based, system-level model of a representative impact wrench. The model explicitly incorporates the dynamic flexibility of gear transmission, spindle shaft, and impacting components into the kinematic relations that connect them together. The nonlinear impact and contact events, coupled with the rotational and translational motions of all components, are explicitly analyzed, and systematic parametric identification is performed based on a multi-objective optimization (MOO) approach. The model prediction is correlated with experimental studies.

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Fig. 3

Lumped-parameter modeling structure of impact wrench

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Fig. 2

Energy flow within impact wrench

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Fig. 1

Structure of impact wrench: (a) schematic, (b) hammer stopped by anvil, and (c)hammer bypassing anvil

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Fig. 4

Configuration of planetary gear

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Fig. 5

Impact between spindle and hammer

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Fig. 6

Impacts between hammer and anvil: (a) type 2-1 impact, (b) type 2-2 impact, and (c) type 2-3 impact

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Fig. 7

Penetration between hammer and spindle

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Fig. 10

Strain readings within one rotation of hammer: (a) only one rebound and (b) two rebounds

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Fig. 8

Finite element analysis to extract equivalent torsional stiffness: (a) meshed anvil, (b) boundary condition and load, and (c) angular displacement/deformation

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Fig. 16

Maximum output torques and model prediction errors: (a) maximum output torque under setup 3, (b) prediction error under setup 3, (c) maximum output torque under setup 4, and (d) prediction error under setup 4

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Fig. 9

Test rig configuration

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Fig. 11

A typical increasing hydraulic pressure measured by tension calibrator

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Fig. 12

The impact torque of the first rebound Ti,1st, exp , the second rebound Ti,2nd, exp , and the impact duration Δti, exp  for the ith experiment

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Fig. 13

Objective function values under different temperatures during AMOSA computation and the PO set

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Fig. 14

Selection of true optimal solution after additional acceptance threshold is incorporated

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Fig. 15

Comparisons of impact torque and impact duration obtained from experiment and model under initial, alternative, and true optimal parametric combinations: (a) impact torque comparison and (b) impact duration comparison

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Fig. 18

Comparisons of increased rotations of anvil: (a) setup 1 at 400 rpm, (b) setup 1 at 600 rpm, (c) setup 2 at 800 rpm, and (d) setup 2 at 900 rpm

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Fig. 19

Comparisons of output torque under setup 2 at 900 rpm: (a) experimental result of torque and (b) model prediction of torque

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Fig. 17

Rebounds within half-cycle rotation: (a) three rebounds under setup 1 at 400 rpm and (b) one rebound under setup 1 at 700 rpm

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Fig. 20

Axial motion of hammer versus relative angle between hammer and anvil under different spindle speeds: (a) 400 rpm, (b) 500 rpm, (c) 600 rpm, and (d) 700 rpm

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Fig. 21

Engagement statuses between hammer and anvil

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Fig. 22

Axial motion of hammer (solid line) and engagement position (dashed line) under different spring stiffness values: (a) 16.5 N/mm, (b) 55 N/mm, and (c) 77 N/mm

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Fig. 23

Engagement percentage with respect to spring stiffness change

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Fig. 24

Output torque with respect to spring stiffness change




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