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contributor authorChen, Jiakai
contributor authorXie, Fugui
contributor authorLiu, Xin-Jun
contributor authorBi, Weiyao
date accessioned2022-02-05T21:40:17Z
date available2022-02-05T21:40:17Z
date copyright4/9/2021 12:00:00 AM
date issued2021
identifier issn1942-4302
identifier otherjmr_13_4_040902.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276104
description abstractEfficient 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleStiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing
typeJournal Paper
journal volume13
journal issue4
journal titleJournal of Mechanisms and Robotics
identifier doi10.1115/1.4050683
journal fristpage040902-1
journal lastpage040902-9
page9
treeJournal of Mechanisms and Robotics:;2021:;volume( 013 ):;issue: 004
contenttypeFulltext


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