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    Topological Synthesis of Epicyclic Gear Trains Using Vertex Incidence Polynomial

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 006::page 62304
    Author:
    Kamesh, Vinjamuri Venkata
    ,
    Mallikarjuna Rao, Kuchibhotla
    ,
    Srinivasa Rao, Annambhotla Balaji
    DOI: 10.1115/1.4036306
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Epicyclic gear trains (EGTs) are used in the mechanical energy transmission systems where high velocity ratios are needed in a compact space. It is necessary to eliminate duplicate structures in the initial stages of enumeration. In this paper, a novel and simple method is proposed using a parameter, Vertex Incidence Polynomial (VIP), to synthesize epicyclic gear trains up to six links eliminating all isomorphic gear trains. Each epicyclic gear train is represented as a graph by denoting gear pair with thick line and transfer pair with thin line. All the permissible graphs of epicyclic gear trains from the fundamental principles are generated by the recursive method. Isomorphic graphs are identified by calculating VIP. Another parameter “Rotation Index” (RI) is proposed to detect rotational isomorphism. It is found that there are six nonisomorphic rotation graphs for five-link one degree-of-freedom (1-DOF) and 26 graphs for six-link 1-DOF EGTs from which all the nonisomorphic displacement graphs can be derived by adding the transfer vertices for each combination. The proposed method proved to be successful in clustering all the isomorphic structures into a group, which in turn checked for rotational isomorphism. This method is very easy to understand and allows performing isomorphism test in epicyclic gear trains.
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      Topological Synthesis of Epicyclic Gear Trains Using Vertex Incidence Polynomial

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4234967
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    contributor authorKamesh, Vinjamuri Venkata
    contributor authorMallikarjuna Rao, Kuchibhotla
    contributor authorSrinivasa Rao, Annambhotla Balaji
    date accessioned2017-11-25T07:18:06Z
    date available2017-11-25T07:18:06Z
    date copyright2017/25/4
    date issued2017
    identifier issn1050-0472
    identifier othermd_139_06_062304.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234967
    description abstractEpicyclic gear trains (EGTs) are used in the mechanical energy transmission systems where high velocity ratios are needed in a compact space. It is necessary to eliminate duplicate structures in the initial stages of enumeration. In this paper, a novel and simple method is proposed using a parameter, Vertex Incidence Polynomial (VIP), to synthesize epicyclic gear trains up to six links eliminating all isomorphic gear trains. Each epicyclic gear train is represented as a graph by denoting gear pair with thick line and transfer pair with thin line. All the permissible graphs of epicyclic gear trains from the fundamental principles are generated by the recursive method. Isomorphic graphs are identified by calculating VIP. Another parameter “Rotation Index” (RI) is proposed to detect rotational isomorphism. It is found that there are six nonisomorphic rotation graphs for five-link one degree-of-freedom (1-DOF) and 26 graphs for six-link 1-DOF EGTs from which all the nonisomorphic displacement graphs can be derived by adding the transfer vertices for each combination. The proposed method proved to be successful in clustering all the isomorphic structures into a group, which in turn checked for rotational isomorphism. This method is very easy to understand and allows performing isomorphism test in epicyclic gear trains.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTopological Synthesis of Epicyclic Gear Trains Using Vertex Incidence Polynomial
    typeJournal Paper
    journal volume139
    journal issue6
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4036306
    journal fristpage62304
    journal lastpage062304-12
    treeJournal of Mechanical Design:;2017:;volume( 139 ):;issue: 006
    contenttypeFulltext
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