Show simple item record

contributor authorLei, Jingtao;Wang, Jinhong
date accessioned2023-04-06T12:56:49Z
date available2023-04-06T12:56:49Z
date copyright11/24/2022 12:00:00 AM
date issued2022
identifier issn19424302
identifier otherjmr_15_5_051003.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288810
description abstractFor parallel robots with general configuration, it is difficult to achieve the large rotation range requirement for pelvic fracture reduction. Applicationbased workspace optimization is important. In this paper, a 3revoluterevoluteprismaticspherical (3RRPS) parallel robot with optimized parameters is studied, which can offer a large orientation workspace and relatively compact configuration. The inverse kinematics of the robot is analyzed by the closedloop vector method. The cylindrical coordinate searching algorithm and boundary extraction method are adopted to calculate the orientation workspace. Defining the comprehensive branch length (CBL) to express robot’s compactness under the premise of satisfying the required orientation workspace. The genetic algorithm (GA) is adopted to optimize structural parameters of the robot with CBL as the objective function. The optimization results show that when the orientation angles of the moving platform are limited to not less than 28 deg, the CBL of the robot is 291 mm. Finally, the virtual prototype simulation verification shows that the orientation angles of the moving platform around xaxis and yaxis can reach ±28 deg, the orientation angle around zaxis can reach ±40 deg, which meets the requirements of the rotational range for pelvic fracture reduction surgery.
publisherThe American Society of Mechanical Engineers (ASME)
titleOrientation Workspace Analysis and Parameter Optimization of 3RRPS Parallel Robot for Pelvic Fracture Reduction
typeJournal Paper
journal volume15
journal issue5
journal titleJournal of Mechanisms and Robotics
identifier doi10.1115/1.4055741
journal fristpage51003
journal lastpage510038
page8
treeJournal of Mechanisms and Robotics:;2022:;volume( 015 ):;issue: 005
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record