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Pyrolysis computer

Mayes HB, Nolte MW, Beckham GT, Shanks BH, Broadbelt LJ. The alpha-bet(a) of glucose pyrolysis computational and experimental investigations of 5-hydroxyme-thylfurfural and levoglucosan formation reveal impHcations for cellulose pyrolysis. 21CS Sustain Chem Eng. 2014 2 1461-1473. [Pg.182]

Mixtures can be identified with the help of computer software that subtracts the spectra of pure compounds from that of the sample. For complex mixtures, fractionation may be needed as part of the analysis. Commercial instmments are available that combine ftir, as a detector, with a separation technique such as gas chromatography (gc), high performance Hquid chromatography (hplc), or supercritical fluid chromatography (96,97). Instmments such as gc/ftir are often termed hyphenated instmments (98). Pyrolyzer (99) and thermogravimetric analysis (tga) instmmentation can also be combined with ftir for monitoring pyrolysis and oxidation processes (100) (see Analytical methods, hyphenated instruments). [Pg.315]

Dente and Ranzi (in Albright et al., eds.. Pyrolysis Theory and Industrial Practice, Academic Press, 1983, pp. 133-175) Mathematical modehng of hydrocarbon pyrolysis reactions Shah and Sharma (in Carberry and Varma, eds.. Chemical Reaction and Reaction Engineering Handbook, Dekker, 1987, pp. 713-721) Hydroxylamine phosphate manufacture in a slurry reactor Some aspects of a kinetic model of methanol synthesis are described in the first example, which is followed by a second example that describes coping with the multiphcity of reactants and reactions of some petroleum conversion processes. Then two somewhat simph-fied industrial examples are worked out in detail mild thermal cracking and production of styrene. Even these calculations are impractical without a computer. The basic data and mathematics and some of the results are presented. [Pg.2079]

Benzofuroxan 79 can be generated from 2-nitrophenyl azide 80 (Scheme 49). Neighboring-group assistance within the pyrolysis leads to a one-step mechanism with an activation barrier of 24.6 kcal/mol at the CCSD(T)/6-31 lG(2d,p) level [99JPC(A)9086]. This value closely resembles the experimental one of 25.5 kcal/mol. Based on the ab initio results for this reaction, rate constants were computed using variational transition state theory. [Pg.35]

At present there is no small-scale test for predicting whether or how fast a fire will spread on a wall made of flammable or semiflammable (fire-retardant) material. The principal elements of the problem include pyrolysis of solids char-layer buildup buoyant, convective, tmbulent-boundary-layer heat transfer soot formation in the flame radiative emission from the sooty flame and the transient natme of the process (char buildup, fuel burnout, preheating of areas not yet ignited). Efforts are needed to develop computer models for these effects and to develop appropriate small-scale tests. [Pg.131]

Intact bacteria were first introduced into a mass spectrometer for analysis of molecular biomarkers without processing and fractionation around 1975.6 The ionization techniques available at the time limited analysis to secondary metabolites that could be volatilized, such as quinines and diglycerides, and vigorous pyrolysis of bacteria was explored as an alternative.7 Although biomarkers were destroyed in pyrolysis strategies, computer-supported cluster analysis was developed to characterize pure samples. [Pg.257]

Goodfellow, M. Inter-strain comparison of pathogenic microorganisms by pyrolysis mass spectrometry. Binary Comput. Microbiol. 1995, 7, 54-60. [Pg.336]

It is easy to look back from today s vantage point and assert that the spectral patterns produced by pyrolysis were not sufficiently dissimilar for different organisms, or that pattern recognition (or computational) approaches were not advanced enough to provide the specificity needed for routine application of PyMS to bacterial characterization. Such criticism misses the important point that these methods did work within certain limitations. Indeed, research... [Pg.370]

Generalized flow sheet for simulation of pyrolysis reactor by machine computation. [Pg.555]

Table. Structural data from computer analysis of the HRTEM images obtained on carbon aerogels formed by pyrolysis at 1050 and 2600°C ofNa2(CO)3 and Ca(OH)2 based aerogels heated. Table. Structural data from computer analysis of the HRTEM images obtained on carbon aerogels formed by pyrolysis at 1050 and 2600°C ofNa2(CO)3 and Ca(OH)2 based aerogels heated.
The fluidization and the feeder gas flow were controlled by two Brooks 5850S mass flow controllers. The temperature in both the pyrolysis compartment and in the catalyst compartment was monitored by K-type thermo couples and logged to a computer. [Pg.316]

Pyrolysis-Gas Chromatography-Mass Spectrometry. In the experiments, about 2 mg of sample was pyrolyzed at 900°C in flowing helium using a Chemical Data System (CDS) Platinum Coil Pyrolysis Probe controlled by a CDS Model 122 Pyroprobe in normal mode. Products were separated on a 12 meter fused capillary column with a cross-linked poly (dimethylsilicone) stationary phase. The GC column was temperature programmed from -50 to 300°C. Individual compounds were identified with a Hewlett Packard (HP) Model 5995C low resolution quadruple GC/MS System. Data acquisition and reduction were performed on the HP 100 E-series computer running revision E RTE-6/VM software. [Pg.547]

Zeppieri, S., High Temperature Experimental and Computational Studies of the Pyrolysis and Oxidation of Endothermic Fuels, Ph.D. Thesis, Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, 1999. [Pg.145]

Schulten, H.-R. Leinweber, P. Characterization of Humic and Soil Particles by Analytical Pyrolysis and Computer Modeling. J. Anal. Appl. Pyrolysis 1996, 38, 1-53. [Pg.220]

Saastamoinen J.J., Huttunen M., and Kjaldman L., Modelling of Pyrolysis and Combustion of Biomass Particles , the fourth European Computational Fluid Dynamics Conference, 7-11 Sept, Athens, Greece, (1998)... [Pg.139]

In addition to phase change and pyrolysis, mixing between fuel and oxidizer by turbulent motion and molecular diffusion is required to sustain continuous combustion. Turbulence and chemistry interaction is a key issue in virtually all practical combustion processes. The modeling and computational issues involved in these aspects have been covered well in the literature [15, 20-22]. An important factor in the selection of sub-models is computational tractability, which means that the differential or other equations needed to describe a submodel should not be so computationally intensive as to preclude their practical application in three-dimensional Navier-Stokes calculations. In virtually all practical flow field calculations, engineering approximations are required to make the computation tractable. [Pg.75]

Figure 24.10 Schematic diagram of the combustion-control experiment at China Lake 1 — primary air 2 — primary air driver sin(27r/ot) 3 — pyrolysis gases N2 -h C2H4 4 — secondary air 5 — secondary air drivers sin(27r/ot- -0) 6 — demultiplexing box 7 — sampling probe 8 — multipass fast-sample cell (36-meter path) 9 — InGaAs detector 10 — multiplexed beam and 11 — data acquisition and control computer... Figure 24.10 Schematic diagram of the combustion-control experiment at China Lake 1 — primary air 2 — primary air driver sin(27r/ot) 3 — pyrolysis gases N2 -h C2H4 4 — secondary air 5 — secondary air drivers sin(27r/ot- -0) 6 — demultiplexing box 7 — sampling probe 8 — multipass fast-sample cell (36-meter path) 9 — InGaAs detector 10 — multiplexed beam and 11 — data acquisition and control computer...
Based on the idea of HS as a macromolecular polymer, some chemical model structures have been proposed combining geochemical, wet-chemical, biochemical, spectroscopic, thermal, agricultural, and ecological data with analytical pyrolysis and modern computational chemistry. An example is shown in Schulten and Leinweber... [Pg.307]

Schulten, H.-R., and Leinweber, P. (1996). Characterization of humic and soil particles by analytical pyrolysis and computer modeling. J. Appl. Anal. Pyrolysis 38,1-53. [Pg.586]

Schulten, H.-R., Leinweber, P., and Schnitzer, M. (1998). Analytical pyrolysis and computer modelling of humic and soil particles. In IUPAC Environmental Analytical and Physical Chemistry Series, Vol. 4 Environmental Particles Structure and Surface Reactions of Soil Particles, Huang, P. M., Senesi, N, and Buffle, J., eds., John Wiley Sons, Chichester, England, Chapter 8, pp. 281-324. [Pg.586]

Flash vacuum pyrolysis of (71) gives (72) and computational studies on the pathway have been reported.159... [Pg.484]


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