Scientific extension
Effect of MAPO and T313 on the Rheological and Mechanical Properties of Composite Solid Propellant Based on HTPB

Seyed Amanollah Mousavi Nodoushan; Yahya Ebrahim abadi; Navab Fathi; Hamed Sheikh hasani

Volume 3, Issue 3 , December 2019, Pages 1-8

Abstract
  Composite solid propellants have found wide spread applications in missile industries, such as high density, high specific impulse, and possibility of producing large scale grains. These solid propellants consist of three main chemical ingredients, including oxidizer, fuel, and binder. Recently ,Hydroxyethyl ...  Read More

Scientific extension
Statistical Analysis of Mass-Energy Parameters of Multi-stage and Clustered Liquid Propellant Engines

mohammad shafiey dehaj; mahyar naderi; Sayyed Alireza Jalali chimeh

Volume 3, Issue 3 , December 2019, Pages 9-14

Abstract
  Increasing the orbital height and mass of the satellites' cargo, in addition to multi-staging the satellites, requires use of stronger propulsion systems. One of the commonly used methods to provide the required thrust in each stage is proper arrangement of several engines in conjunction with each other, ...  Read More

Scientific extension
Investigation of Dynamic Loading Software on an Aircraft's Wing and Horizental Tail, by Elevator Deflection

Morteza Bayati

Volume 3, Issue 3 , December 2019, Pages 15-22

Abstract
  In this research, a dynamic simulator software has been designed to calculate the time varying load factor acting on an aircraft wing and on a horizontal tail relation to elevator deflection angle. The related loading equations were extracted and solved by MATLAB software and were presented as a GUI ...  Read More

Scientific extension
An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process

Moohamadreza Maraki; Hadi Tagimalek; Majid Azargoman; Ramin Karami

Volume 3, Issue 3 , December 2019, Pages 23-30

Abstract
   In this paper, Extreme Learning Machine method is used to model the rate of material transfer as an effective parameter in process speed and surface quality. Using neural network model of Extreme Learning Machine, the mean squared error (MSE) for the material transfer rate in the learning data ...  Read More

Scientific extension
Design and Fabrication of a Reflected-Type Shock Tube for Experimental Investigations on Combustion Kinetics

Iman Bahman-Jahromi; Kaveh Ghorbanian

Volume 3, Issue 3 , December 2019, Pages 31-38

Abstract
  Reflected-type shock tube, equipped with laser absorption spectroscopy, is one of the most applicable facilities for experimental investigations in combustion kinetics. Ignition delay time of a specific fuel, as well as the products of combustion can be studied with a reflected-type shock tube. However, ...  Read More

Scientific extension
Investigation of Calculation Methods for Convective Heat Transfer Coefficient in Combustion Chambers and in Converging-Diverging Nozzles

Mohammad Razmjooei; Zaheer Sabohi

Volume 3, Issue 3 , December 2019, Pages 39-50

Abstract
  This paper reports a review and comparison of the methods used for calculating convective heat transfer coefficient in combustion chambers and in diverging-converging nozzles. Therefore, a history of applying different methods for calculating the convective heat transfer coefficient is explained first. ...  Read More