Title :
Joint-gene based variable topological representations and configuration transformations
Author :
Li, Shujun ; Zhang, Yanli ; Yang, Song ; Wang, Hongguang
Author_Institution :
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
Abstract :
ldquoJoint-generdquo concept is introduced as ldquochangeable structural elementsrdquo in metamorphic mechanisms comparing with the gene in biology. The joint-gene based variable topological representation is proposed, and the method and procedures for the configuration transformations are presented based on the topological representation. First, the joint-gene modules, which have 4 non-zero elements square matrix, are proposed. Then a ntimesn topological characteristic matrix of kinematic chain is assembled by joint-gene modules according to the connectivity of the joints and links. Thirdly, a joint-gene locking modular is hence proposed for locking one of the joint or to delete one connected links while metamorphic, and finally the connectivity of deleted link are transferred to form the reconfigured topological matrix. The paper further gives examples to illustrate that the proposed joint-gene based topological representation providing more structural information with fewer elements, and it can be used in the computerized configuration transformations of planar and spatial mechanism with efficiency and practicality.
Keywords :
kinematics; matrix algebra; topology; changeable structural elements; configuration transformation; joint-gene locking modular; kinematic chain; metamorphic mechanisms; nonzero elements square matrix; planar mechanism; spatial mechanism; topological matrix; Aerospace engineering; Assembly; Biology; Joining processes; Kinematics; Mechanical engineering; Robotics and automation; Robots; Topology; Transmission line matrix methods; joint-gene modular; metamorphic mechanism; reconfiguration; variable topological;
Conference_Titel :
Reconfigurable Mechanisms and Robots, 2009. ReMAR 2009. ASME/IFToMM International Conference on
Conference_Location :
London
Print_ISBN :
978-88-89007-37-2
Electronic_ISBN :
978-1-876346-58-4