scispace - formally typeset
Y

Yan Li

Researcher at Kunming University of Science and Technology

Publications -  5
Citations -  8

Yan Li is an academic researcher from Kunming University of Science and Technology. The author has contributed to research in topics: Involute gear & Involute. The author has an hindex of 2, co-authored 5 publications receiving 7 citations.

Papers
More filters
Journal ArticleDOI

Simulation and Analysis about Different Pressure Angle in Involute Gears Based on Neural Network

TL;DR: In this article, the authors introduced neural network, discussed the neural networks model and its learning process, using MATLAB environment research and analysis the involute gear undercutting relationship, which under different pressure angles.
Journal ArticleDOI

Research on the Transmission Characteristics and Mechanical Mechanics of Dual Meshing Points in Involute-Circular Arc Tooth Gear

TL;DR: In this paper, the dual meshing points involute-circular arc tooth gear was introduced and the principle of gear engagement and the relevant knowledge of gear geometry were used to introduce the dual mesheshing points in detail.
Journal ArticleDOI

Study of Cluster-Footprint Analysis Testing Algorithm and System

TL;DR: A testing system is designed and developed to analyze cluster-footprint based on the LabVIEW platform, which can realize image acquisition, stride characteristics extraction, information management and so on and actual analysis results show that this system can effectively achieve these functions.
Journal ArticleDOI

Modal and Wind Vibration Analysis about Steel Chimney Outer Wall with a Spiral Guide Plate Based on Workbench

TL;DR: In this paper, a steel chimney outer wall with a spiral guide plate was analyzed and the steel structure modal, self-vibration and wind vibration frequency was verified to reduce wind load impact on the chimney and flange connection.
Journal ArticleDOI

Research on Involute Gear Undercutting with Mechanical Mechanics Based on Neural Network

TL;DR: In this article, the involute gear tooth number, modulus and their relationship model of cutting the amount effect were established based on the neural network nonlinear mapping characteristics, which can intuitive reflect the tooth number and modulus effects on cutting amount change.