Neural Network Prediction of Discharge Current using Plume Shape and Operational Parameters in Hall Thrusters

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Three-Dimensional Particle Simulation of Plume Flows From Hall Thrusters

In this study, three-dimensional simulations of xenon plasma plume flow fields from a cluster of four Hall thrusters are performed with a hybrid particle-fluid method on unstructured meshes. In these simulations, a detailed fluid model is used to compute the electron properties, the direct simulation Monte Carlo method models the collisions of heavy particles and the Particle-In-Cell method mod...

متن کامل

Plume Model of Hall Effect Plasma Thrusters with Temporal Consideration

Introduction Experiments were conducted to develop a As the development of Hall effect plasma thrusters comprehensive plume model for Hall effect plasma continues, potential missions beyond basic north-south thrusters. The purpose of the plume model developed in and east-west station keeping are being considered for this this paper is to give system integrators a guide to follow type of thruste...

متن کامل

Prediction of Cohesive Sediment Erosion Rate and Analyzing the Effective Parameters Using Artificial Neural Network

Transferring mechanic of cohesive sediments are different from non-cohesive sediments. For determining the erosion rate of non-cohesive sediments, physical parameters such as average diameter and density are used, such as average diameter and density. Due to the nature of the cohesive sediments, their erosion rates are determined interrelated with the shear stress of the bed with fixed coeffici...

متن کامل

An Artificial Neural Network Model for Prediction of the Operational Parameters of Centrifugal Compressors: An Alternative Comparison Method for Regression

Nowadays, centrifugal compressors are commonly used in the oil and gas industry, particularly in the energy transmission facilities just like a gas pipeline stations. Therefore, these machines with different operational circumstances and thermodynamic characteristics are to be exploited according to the operational necessities. Generally, the most important operational parameters of a gas pipel...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: AEROSPACE TECHNOLOGY JAPAN, THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

سال: 2021

ISSN: 1884-0477

DOI: 10.2322/astj.20.47