Ramming system is the key device to guarantee the firing speed of self-propelled gun. Based on traditional
reliability enhancement testing method, a new kind of reliability enhancement testing simulation method
of ramming system is put forward firstly. In CAD software Pro/E and dynamic simulation software ADAMS, the
virtual prototype of ramming system is established. In EASY5 software, the corresponding hydraulic system and
control system models are built. The reliability enhancement testing virtual environment of ramming system is
developed using the mechanical-electrical-hydraulic co-simulation technology. Based on the load spectra provided
by virtual prototype, and the stress distribution provided by finite element analysis and material’s S-N curve (S
is fatigue strength, N is fatigue life), a model of fatigue enhancement coefficient is established through the failure
mechanism analysis. The simulation processes and simulation results show the feasibility of reliability enhancement
testing based on virtual prototype, and provide sufficient theory reference for structure improvement and
optimization of ramming system.
HU Hui-bin1,2* (胡慧斌), CAO Li-jun1 (曹立军), CHEN Shu-xiao2 (陈树肖), MA Ji-sheng1 (马吉胜)
. Simulation on Reliability Enhancement Testing Technology of Ramming System[J]. Journal of Shanghai Jiaotong University(Science), 2015
, 20(4)
: 477
-481
.
DOI: 10.1007/s12204-015-1653-4
[1] Hobbs G K. Accelerated reliability engineering:HALT and HASS [M]. San Francisco: John Wiley and Sons Inc, 2000.
[2] Yu I T, Chang C L. Applying Bayesian model averaging for quantile estimation in accelerated life test [J].IEEE Transactions on Reliability, 2012, 61(1): 74-83.
[3] Yonezawa R, Kunio H. Reliability enhancement of LE-X engine for next Japanese flagship launch vehicle H-X [C] //Proceedings of 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference.San, CA: AIAA, 2013: 1-9.
[4] Quintana C, Millwater H R. Integration of system reliability analysis and FMECA to efficiently identify structural hot spots [C]//Proceedings of 16th AIAA Non-Deterministic Approaches Conference. National Harbor, Maryland: AIAA, 2014: 1-10.
