화학공학소재연구정보센터
검색결과 : 3,318건
No. Article
971 Prediction of product distribution in fine biomass pyrolysis in fluidized beds based on proximate analysis
Kim SW
Bioresource Technology, 175, 275, 2015
972 Biochemical methane potential prediction of plant biomasses: Comparing chemical composition versus near infrared methods and linear versus non-linear models
Godin B, Mayer F, Agneessens R, Gerin P, Dardenne P, Delfosse P, Delcarte J
Bioresource Technology, 175, 382, 2015
973 Predicting gaseous emissions from small-scale combustion of agricultural biomass fuels
Fournel S, Marcos B, Godbout S, Heitz M
Bioresource Technology, 179, 165, 2015
974 Prediction of the effect of fine grit on the MLVSS/MLSS ratio of activated sludge
Fan JP, Ji FY, Xu XY, Wang Y, Yan DC, Xu X, Chen QK, Xiong JZ, He Q
Bioresource Technology, 190, 51, 2015
975 Rapid estimation of the biochemical methane potential of plant biomasses using Fourier transform mid-infrared photoacoustic spectroscopy
Bekiaris G, Triolo JM, Peltre C, Pedersen L, Jensen LS, Bruun S
Bioresource Technology, 197, 475, 2015
976 Whole genome sequences in pulse crops: a global community resource to expedite translational genomics and knowledge-based crop improvement
Bohra A, Singh NP
Biotechnology Letters, 37(8), 1529, 2015
977 A New Feedback DE-ELM with Time Delay-Based EFSM Approach for Fault Prediction of Non-Linear Processes
Xu Y, Zhou ZQ, Zhu QX
Canadian Journal of Chemical Engineering, 93(9), 1603, 2015
978 Flashpoint Prediction for Binary Mixtures of Alcohols with Water in Order to Improve their Safety
Skrinsky J, Dolnicek P, Skrinska M, Marek J, Lukesova P
Chemical Engineering & Technology, 38(4), 727, 2015
979 Combination of space-time conservation element/solution element method and continuous prediction technique for accelerated simulation of simulated moving bed chromatography
Yao CY, Tang SK, Lu YH, Yao HM, Tade MO
Chemical Engineering and Processing, 96, 54, 2015
980 Accurate Prediction of Two-Phase Behavior of the Mixtures of Carbon Dioxide and Different Perfluoroalkane Compounds: Comparison of the Presented Neuro-Fuzzy Model with Advanced Soft-SAFT Molecular Model
ZareNezhad B, Aminian A
Chemical Engineering Communications, 202(6), 843, 2015