Fatigue Reliability-Based Sensitivity Design of Planet Gear for Shearer Rocker Arm System

doi:10.12068/j.issn.1005-3026.2016.10.013

Abstract

Abstract: As the planet gears structure of shearer rocker arm system is very complicated， a finite element model was built using the lumped-mass parameter method， and the dynamic contact stress of the planet gear and sun gear was analyzed to determine its failure mode. Considering the randomness of structural dimension for the planet gear and sun gear， a relational expression between the fatigue life and random parameters was obtained by using the nonlinear mapping function of BP neural network. The MPPPM was applied to the reliability design. The effect of the parameters’ mean and variance on the structure reliability was achieved by the planet gear and sun gear reliability-based sensitivity design.The simulation experiment using the Monte-Carlo showed the correctness of the as-proposed method， and provided a theoretical reference for the reliability-based sensitivity design of the planet gear and sun gear.

Key words: planet gear and sun gear, finite element model, BP neural network, MPPPM(most probable point perturbation method), reliability-based sensitivity design

CLC Number:

TD421

ZHANG Yi-min， WANG Ting， HUANG Jing. Fatigue Reliability-Based Sensitivity Design of Planet Gear for Shearer Rocker Arm System[J]. Journal of Northeastern University Natural Science, 2016, 37(10): 1426-1431.

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