4.5 Article

Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing

Publisher

ASME
DOI: 10.1115/1.4050683

Keywords

adsorption robot; parallel manipulator; stiffness isotropy index; stiffness evaluation; workspace identification

Funding

  1. National Key R&D Program of China [2018YFB1306800]
  2. National Natural Science Foundation of China [51922057, 91948301]

Ask authors/readers for more resources

This paper introduces an adsorption machining robot for processing large-scale structural parts and proposes a stiffness modeling method and a stiffness isotropy index to evaluate the overall stiffness performance of the robot under various working conditions.
Efficient and economical processing of large-scale structural parts is in increasing need and is also a challenging issue. In this paper, an adsorption machining robot for processing of large-scale structural parts is presented. It has potential advantages in flexible, efficient, and economical processing of large-scale structural parts because of the adsorption ability. Stiffness is one of the most important performance for machining robots. In order to investigate the stiffness of the robot in the workspace, the kinematics of the adsorption manipulator, the five-axis machining manipulator, and the adsorption machining robot is derived step by step. Then with the help of finite element analysis (FEA), a stiffness modeling method considering the compliance of the base is proposed. A stiffness isotropy index is put forward to evaluate the robot's overall stiffness performance by taking all possible working conditions into consideration. Based on the index, stiffness evaluation in the reachable workspace is carried out and an optimized workspace is identified considering the overall stiffness magnitude, stiffness isotropy, and workspace volume, which will be used in the machining process. The stiffness modeling method and stiffness isotropy index proposed in the paper are universal and can be applied to other parallel robots.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available