Thermochemical and Energy Characteristics Di-, Tri-, and Tetraazide-Substituted Azines as Gas-Forming Components of Solid Propellants for Ramjet Engines

2019 ◽  
Keyword(s):  
Solid Propellants ◽  
Energy Characteristics ◽  
Ramjet Engines

THE BURNING RATE OF HIGH-ENERGY MATERIALS CONTAINING METAL FUELS BASED ON AL AND B

2020 ◽  
Author(s):  
A. Korotkikh ◽  
◽  
I. Sorokin ◽  
E. Selikhova ◽  
V. Arkhipov ◽  
...  
Keyword(s):  
Ammonium Nitrate ◽  
Specific Energy ◽  
High Energy ◽  
Solid Propellants ◽  
Amorphous Boron ◽  
Energy Materials ◽  
Energy Characteristics ◽  
High Energy Materials ◽  
Metal Borides ◽  
Active Fuel Binder

An effective method of increasing the energy characteristics of high-energy materials (HEMs) is the use of boron and metal borides powders, which have high values of specific energy released during oxidation and combustion. This study investigates powders of amorphous boron and aluminum borides, which are used in compositions of solid propellants based on ammonium perchlorate, ammonium nitrate, and active fuel-binder.

Thermochemical and Energy Characteristics Di-, Tri-, and Tetra-Azido-Substituted Azines As Gasifying Agents of Solid Fuels for Ramjet Engines

2019 ◽  
Vol 55 (1) ◽  
pp. 23-31 ◽  
Author(s):  
D. B. Lempert ◽  
S. V. Chapyshev ◽  
A. I. Kazakov ◽  
N. A. Plishkin ◽  
A. V. Shikhovtsev ◽  
...  
Keyword(s):  
Solid Fuels ◽  
Energy Characteristics ◽  
Ramjet Engines

Evaluation of the Performance of Some Metals and Nonmetals in Solid Propellants for Rocket-Ramjet Engines

2020 ◽  
Vol 56 (1) ◽  
pp. 71-82 ◽  
Author(s):  
L. S. Yanovskii ◽  
V. V. Raznoschikov ◽  
I. S. Averkov ◽  
M. S. Sharov ◽  
D. B. Lempert
Keyword(s):  
Solid Propellants ◽  
Ramjet Engines

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

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