A characterization method and model for predicting coal conversion behaviour

摘要: This paper considers the development of a predictive macromolecular network decomposition model for coal conversion which is based on variety modern analytical techniques characterization. Six concepts are foundation functional group-depolymerization-vaporization-cross-linking (FG-DVC) considered: 1. (1) The group sources in yields light gas species thermal decomposition. amount and evolution kinetics can be measured by t.g.-FT-i.r., changes FT-i.r. n.m.r. 2. (2) tar metaplast. t.g.-FT-i.r. molecular weight f.i.m.s. metaplast formation destruction determined solvent extraction, Gieseler plastometer measurements proton magnetic resonance analysis (p.m.r.t.a.). 3. (3) distribution depends coordination number (average attachments aromatic ring clusters). swelling n.m.r. 4. (4) controlled bridge breaking. bridges broken limited available donatable hydrogen. 5. (5) solidification cross-linking. changing cross-link density n.m.r. Cross-linking appears to occur with both CO2 (before breaking) CH4 (after breaking). Thus low-rank coals (which evolve much CO2) before breaking thus thermosetting. High-volatile bituminous form little undergo significant cross-linking become highly fluid. Weathering, increases yield, causes increased lowers fluidity. 6. (6) mass transport molecules evaporate into or carried out at rates proportional their vapour pressure volume species. High pressures reduce hence yield heavy low pressures. These studied describes how kinetic composition parameters obtained swelling, extraction data. compared experimental data heating rate, temperature all varied. There good agreement theory most from authors' laboratory literature.