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Decomposition degree

Three peat samples (2 m each) were taken at two peat production areas in Finland, namely Kailasuo and Piipsanneva. They were homogenised and prepared as pieces of different density and diameter with laboratory-scale machines. Peat properties are shown in Table 3. Aho classified the peat into three groups with respect to degree of decomposition of chemical structure. The peat types were denoted by S for low decomposition degree, C for medium and LS for high degree of decomposition. [Pg.67]

Figure 7-25. Comparison of AI2O3 decomposition degrees in thermal argon plasma (1) with and (2) without addition of hydrogen presented as functions of alumina feeding rate. The thermal plasma power is 5 kW, particles size is 26 pm. Figure 7-25. Comparison of AI2O3 decomposition degrees in thermal argon plasma (1) with and (2) without addition of hydrogen presented as functions of alumina feeding rate. The thermal plasma power is 5 kW, particles size is 26 pm.
Figure 7—101. Decomposition degree of phosphates, K, as function of temperature at different values of energy cost per 1 kg of initial material (1)11 kWh/kg (2)16.5 kWh/kg (3)29 kWh/kg (4) 39 kWh/kg. Figure 7—101. Decomposition degree of phosphates, K, as function of temperature at different values of energy cost per 1 kg of initial material (1)11 kWh/kg (2)16.5 kWh/kg (3)29 kWh/kg (4) 39 kWh/kg.
Fig. 6.4 The rate of decomposition of CaCOs powder as a function of the decomposition degree at different temperatures... Fig. 6.4 The rate of decomposition of CaCOs powder as a function of the decomposition degree at different temperatures...
Clausing factor considering the orifice shape in the effusion cell Decomposition degree... [Pg.263]

Decomposition degree at the instant of measurement Coefficient of vaporization... [Pg.263]

In the above equation, A is an explosive, B is the product of detonation, and X is the decomposition degree of the explosive (the ratio of decomposed explosive mass to the original explosive mass). The proceeding variable X reports the chemical changes. [Pg.42]

The primary events of the fault tree may be further decomposed. For example, the failure of the pump motor Ml might be caused by a failure of its stator or rotor windings, cables or such like. This would make sense if the motor itself were the object of the fault tree analysis. In practice the degree of decomposition (degree of detail) is determined by the boundaries (deUmitation) of the reliability data for describing component behaviour, which are needed for quantifying a fault tree. [Pg.317]

From Eq. (2.19), the decomposition degree can be determined as a function of the temperature T, and compared with the experimental measurements from TGA, if the involved kinetic parameters are identified. The modeling performance will be evaluated through a comparison to TGA results in Chapter 4. [Pg.35]

The same approach as described in Section 5.2.3 can be used to model the change of G-modulus with temperature. The equations to calculate the conversion degree of glass transition and decomposition degree, together with the corresponding kinetic parameters, are the same as for T-modulus, except that the -modulus at different states in Eq. (5.6) is replaced by the corresponding G-modulus. [Pg.86]

Figure 6.14 Decomposition degree of noncooled specimen sirn... Figure 6.14 Decomposition degree of noncooled specimen sirn...
Figure 6.21 Decomposition degree of liquid-cooied specimen from Elsevier.)... Figure 6.21 Decomposition degree of liquid-cooied specimen from Elsevier.)...
A one-dimensional thermal response model was developed to predict the temperature of FRP structural members subjected to fire. Complex boundary conditions can be considered in this model, including prescribed temperature or heat flow, as well as heat convection and/or radiation. The progressive changes of thermophysical properties including decomposition degree, density, thermal conductivity, and specific heat capacity can be obtained in space and time domains using this model. Complex processes such as endothermic decomposition, mass loss, and delatnina-tion effects can be described on the basis of an effective material properties over the whole fire duration. [Pg.131]

Capability of B-N-Fe composition samples to remove oxalic acid (OA) from water was investigated [24] and it was established (Table 7.5) that sorption of OA depends on surface and porosity properties of the material used and does not exceed 40%. H2C2O4 decomposition degree under UV in presence of each sample is rather high (80-90%). Addition of HgOg (photo-Fenton system) does not affect the catalytic activity of composites. Adsorption and catalytic activity of materials were investigated used by XRD and IR methods. Formation of photoactive ferric-oxalate complexes explains efficiency of catalytic systems (Equations 7.11-7.15). [Pg.219]

Sample Quantity (g) Acid Reagent added Acid decomposition degree (%) h, <%) (fimolg h )... [Pg.226]


See other pages where Decomposition degree is mentioned: [Pg.190]    [Pg.191]    [Pg.195]    [Pg.330]    [Pg.117]    [Pg.118]    [Pg.122]    [Pg.188]    [Pg.953]    [Pg.566]    [Pg.835]    [Pg.157]    [Pg.688]    [Pg.214]   
See also in sourсe #XX -- [ Pg.18 , Pg.19 , Pg.33 , Pg.44 , Pg.94 , Pg.153 , Pg.154 ]




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