Open AccessDesign and analysis based on RecurDyn of the electric crawler type remote controlled hedge trimmer
Author(s) -
Ziquan Zhan,
Guimao Si,
Jingjing Zhi,
Le Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012010
Subject(s) - web crawler , hedge , stability (learning theory) , engineering , automotive engineering , computer science , world wide web , ecology , machine learning , biology
The electric crawler type remote controlled hedge trimmer is designed to reduce the emission and change the present status that hedges on the both sides of the highway are trimmed manually, which wastes much time and increase the labor costs. The hedge trimmer is designed in this article according to the working conditions and objects; the author analyses its dynamic stability in the typical working environments by RecurDyn. And the research indicates that the electric crawler type remote controlled hedge trimmer has the reasonable design to perform a great dynamic stability.