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Author:

Zong, Guanchen (Zong, Guanchen.) | Kang, Cunfeng (Kang, Cunfeng.) | Chen, Shujun (Chen, Shujun.) (Scholars:陈树君)

Indexed by:

EI Scopus SCIE

Abstract:

Robotic Friction Stir Welding (RFSW) technology integrates the advantages of friction stir welding and industrial robots, finding extensive applications and research in aerospace, shipbuilding, and new energy vehicles. However, the high-speed rotational process of friction stir welding combined with the low stiffness characteristics of serial industrial robots inevitably introduces vibrations during the welding process. This paper investigates the vibration patterns and impacts during the RFSW process and proposes an active vibration avoidance control method for variable speed welding based on constant heat input. This method utilizes a vibration feedback strategy that adjusts the spindle speed actively if the end-effector's vibration exceeds a threshold, thereby avoiding the modal frequencies of the robot at its current pose. Concurrently, it calculates and adjusts the welding speed of the robot according to the thermal equilibrium equation to maintain constant heat input. A simplified dynamic model of the RFSW robot was established, and the feasibility of this method was validated through simulation experiments. This study fills the gap in vibration analysis of RFSW and provides new insights into control strategies and process optimization for robotic friction stir welding.

Keyword:

vibration analysis robot dynamics vibration feedback RFSW modal analysis

Author Community:

  • [ 1 ] [Zong, Guanchen]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Kang, Cunfeng]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Chen, Shujun]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Kang, Cunfeng]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China;;

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Source :

MATERIALS

Year: 2024

Issue: 11

Volume: 17

3 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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