AQSysDOE | R Documentation |
The function uses a ATPS characterization data to build a Design
Of Experiments (DOE) matrix based on
Tie-Line Length (TLL) and Volume Ratio.
see AQSysEval
for more details.
AQSysDOE( dataSET, db = LLSR::llsr_data, slope = NULL, xmax = 100, modelName = "merchuk", nTL = 3, nPoints = 3, tol = 1e-05 )
dataSET |
- Binodal Experimental data that will be used in the nonlinear fit. |
db |
A highly structure db containing data from previously analyzed data. LLSR database is used by default but user may input his own db if formatted properly. |
slope |
The method assumes all tielines for a given ATPS are parallel, thus only one slope is required. [type:double] |
xmax |
Maximum value for the Horizontal axis' value (bottom-rich component). [type:double] |
modelName |
Character String specifying the nonlinear empirical equation to fit data. The default method uses Merchuk's equation. Other mathematical descriptors can be listed using AQSysList(). [type:string] |
nTL |
Number of tielines plotted for a given ATPS. Default is 3. [type:Integer] |
nPoints |
Number of points chosen for a given tieline. Default is 3. [type:Integer] |
tol |
limit of tolerance to reach to assume convergence. Default is 1e-5. [type:Integer] |
# dataSET is a data.frame which contains series of Tieline's mass fraction # and information # from both components and #' # extraction conditions (T, pH). The function # perform a system # characterizaion based on data stored in LLSR's database # (or provided by the user) # and then calculate a DOE based on the input. ## Not run: dataSET <- AQSearch.Binodal(db.uid='56b53a50f500c502fa4a65d197fc6d84') ans <- AQSysDOE(dataSET2, nTL = 5, nPoints = 5) View(ans$DOE) ## End(Not run)
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