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(2016, May). Robotic stationary shoulder FSW: Benefits and limitations. 11th International Symposium.
. "Robotic stationary shoulder FSW: benefits and limitations". 11th International Symposium (May.2016).
. "Robotic stationary shoulder FSW: benefits and limitations". 11th International Symposium (May.2016).
Robotic stationary shoulder FSW: benefits and limitations. 11th International Symposium. 2016 May; .
2016, 'Robotic stationary shoulder FSW: benefits and limitations', 11th International Symposium. Available from: https://www.twi-global.com/technical-knowledge/fsw-symposium-papers/FSWSymposia-201605-3APaper02.pdf.
. Robotic stationary shoulder FSW: benefits and limitations. 11th International Symposium. 2016;. https://www.twi-global.com/technical-knowledge/fsw-symposium-papers/FSWSymposia-201605-3APaper02.pdf.
. Robotic stationary shoulder FSW: benefits and limitations. 11th International Symposium. 2016 May;. https://www.twi-global.com/technical-knowledge/fsw-symposium-papers/FSWSymposia-201605-3APaper02.pdf.

Robotic stationary shoulder FSW: benefits and limitations

11th International Symposium
May 2016

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Description

An overview is presented of the benefits and limitations of stationary shoulder friction stir welding (SSFSW) compared with conventional FSW and other joining technologies; the challenges faced when applying FSW on a serial kinematics robot in relation to process forces and torque; the ability of laser seam tracking to improve robot accuracy; and the use of case studies to demonstrate the implementation of robotic SSFSW for different geometries. Issues discussed include shaped corner and corner FSW; the effects of tool forces and subsequent tool deviations in robotic FSW; tool position correction using laser seam tracking; the FlexiFab robotic FSW system; linear SSFSW of AA 7075-T6 aluminium alloy sheets (thickness 3 mm); part tolerance and fit up; 3D SSFSW of AA 6082-T6; path programming; linear corner FSW of AA 2024-T3; and sensitivity to gaps, plate tolerances, plunge parameters and tool orientation variation.

11th International Symposium, 17-19 May 2016, Session 3A: Robotic and Non Linear, Paper 02

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