Hardcoded

Mujumdar's data

Mujumdar et al. [5] propose temperature dependent properties for flue gases to be used in the simulation of rotary kilns. Although these values are not recommended for practical purposes (especially because their thermal conducivity diverges from reasonable values above 1500 K), they are implemented for benchmarking against the reference literature model. Please, check AuChimiste.MujumdarFlueProperties for more details.

model = AuChimiste.MujumdarFlueProperties()

c = specific_heat(model, T_NORMAL)
k = thermal_conductivity(model, T_NORMAL)
μ = viscosity(model, T_NORMAL)

c, k, μ

(1201.9539, 0.025437243757512683, 1.705356237621201e-5)

Heavy fuel-oil properties

Evaluation of heavy fuel-oil (HFO) properties is often required in the field of combustion. A few utility functions are implemented as provided by Lawn [2]. Using the same trait style as for AuChimiste.MujumdarFlueProperties one can compute the specific_heat of a HFO as follows:

hfo_handle = AuChimiste.LawnHfoProperties()
specific_heat(hfo_handle, T_NORMAL, 1.02)

2557.8220588235295

For the case of heating values, we dispose of interfaces provided by AuChimiste.enthalpy_net_bs2869. The preferred method is by providing key-word arguments in usual industrial units as provided below.

AuChimiste.enthalpy_net_bs2869(; density = 1020.0, pct_water = 0.1,
                                 pct_ash = 0.05, pct_sulphur = 1.0)

40.13509836320001

Alternativelly, a specific-gravity and mass fractions interface is provided; this is recommended to be used only in contexts where input preprocessing is ensured, i.e. implementation of programs and other interfaces.

AuChimiste.enthalpy_net_bs2869(1.02, 0.001, 0.0005, 0.01)

40.13509836320001