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国际能源材料和化学驱动期刊
ESCI SJR: 0.142 SNIP: 0.16 CiteScore™: 0.29

ISSN 打印: 2150-766X
ISSN 在线: 2150-7678

国际能源材料和化学驱动期刊

DOI: 10.1615/IntJEnergeticMaterialsChemProp.2013006614
pages 41-60

SIMPLE METHOD FOR PREDICTION OF HEAT OF EXPLOSION IN DOUBLE BASE AND COMPOSITE MODIFIED DOUBLE BASE PROPELLANTS

Mehdi Rahmani
Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr P.O. Box 83145/115, Islamic Republic of Iran
Behzad Ahmadi-Rudi
Department of Chemistry, Shahid Chamran Research Center, Shahin-shahr P.O. Box 83145/115, Islamic Republic of Iran
Mahmood Reza Mahmoodnejad
Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr P.O. Box 83145/115, Islamic Republic of Iran
Akbar Jafari Senokesh
Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr P.O. Box 83145/115, Islamic Republic of Iran
Mohammad Hossein Keshavarz
Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr P.O. Box 83145/115, Islamic Republic of Iran
No Comment

ABSTRACT

Heats of explosion of 69 double base propellants and 62 composite modified double base (CMDB) propellants with different compositions were measured experimentally. These data and the measured values from the other references were used for the evaluation of heats of explosion of different types of energetic materials. Artificial neural network (ANN) and multiple linear regression (MLR) models were developed for this purpose. Two series of data containing 90 and 78 data were applied for modeling of double base and CMDB propellants, respectively. Each series was separated randomly into two groups, training and prediction sets, respectively, which were used for generation and evaluation of suitable models. The predicted results of ANN and MLR models were more reliable than those obtained by mass percentages and heats of explosion of individual components.


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