As a part of our continuing work to improve the flame retardance of some chain-growth polymers, by employing a reactive route, we have synthesized several unsaturated compounds containing either phosphorus (P), or both phosphorus (P) and nitrogen (N), bearing groups in different chemical environments. They included: diethyl(acryloyloxymethyl)phosphonate (DEAMP); diethyl(1-acryloyloxyethyl)phosp...

Biomass was subjected to conventional and microwave pyrolysis, to determine the influence of each process on the yield and composition of the derived gas, oil and char products. The influence of pyrolysis temperature and heating rate for the conventional pyrolysis and the microwave power was investigated. Two major stages of gas release were observed during biomass pyrolysis, the first being CO...

A kinetic model for predicting biochar, producer gas, and tar formations of top-lit updraft (TLUD) gasification was developed. The three main zones within the TLUD gasifier, pyrolysis, incomplete combustion, reduction reaction zones, were incorporated into sequentially solved. Validated with experimental data, found capable biochar yield on pine woodchips at varying airflow rates, biomass moist...

Biomass pyrolysis in the thermally thick regime is an important thermochemical phenomenon encountered many different types of reactors. In this paper, a particle-resolved algorithm for biomass particle during high-temperature established by using reactive molecular dynamics (MD) and computational fluid (CFD) methods. The temperature gradient inside computed with heat transfer equation, multipha...

Abstract This study aimed to investigate the effect of MgO and titanomagnetite mixture on high-temperature pyrolysis radiata pine wood in a fluidised bed reactor at 850 °C. The catalytic performance MgO-titanomagnetite (MgO-TM) was experimentally evaluated based product distribution, gas composition, properties, tar composition. results revealed that addition resulted decrease yield (67.2 wt.%)...

Pyrolysis-mass spectrometry and artificial neural networks (ANNs) were used in combination to provide quantitative analyses of mixtures of casamino acids in glycogen, as representatives of complex proteins and carbohydrates. We studied fully interconnected feedforward networks, whose weights were modified using various types of back-propagation algorithms, and which exploited a sigmoidal activa...