TPMplt (version 0.1.0)

Abstract-TPMplt: Tool-Kit for Dynamic Materials Model and Thermal Processing Maps

Description

Provides a simple approach for constructing dynamic materials modeling (DMM) suggested by Prasad and Gegel. It can easily generate various processing-maps based on this model as well. The calculation result in this package contains full materials constants, information about power dissipation efficiency factor, and rheological properties, can be exported completely also, through which further analysis and customized plots will be applicable as well.

Details

Input data should be of the data frame with "VBTree" style. Full calculation result returned from the function DMMprocess builds the dynamic material model. 2D and 3D thermal processing-maps can be generated based on this model. 2D plots are built using ggplot2 while 3D plots are constructed by rgl. Especially, 3D plots will separately generate two 3D surfaces, for power dissipation efficiency eta, and rheological stability coefficient xi, respectively.

References

Prasad, YVRK, Gegel, HL, Doraivelu, SM, Malas, JC, Morgan, JT, Lark, KA & Barker, DR (1984). Modeling of dynamic material behavior in hot deformation: forging of Ti-6242. Metallurgical Transactions A, 15, 1883-1892.

Prasad, YVRK, Rao, KP & Sasidhar, S (2015). Hot working guide: a compendium of processing maps. ASM international

See Also

VBTree, ggplot2, rgl

Examples

# NOT RUN {
# Check the factors in column names of input data:
# Note: Temperature in layer2, Strain Rate in layer3.
require(VBTree)
vbt <- dl2vbt(chrvec2dl(colnames(TPMdata)))
vbt

# Export Strain Rate-Temperature table based on
# given strain condition (epsilon):
epstable <- epsExtract(TPMdata, 0.7, 2, 3)

# Build dynamic materials model (DMM) from Strain
# Rate-Temperature table:
DMM <- DMMprocess(epstable)

# Choose regression method for plots:
PLTbd <- SVRModel(DMM)

# 2D processing-map through selected regression method:
TPM2dplt(PLTbd)

# 3D processing-map through selected regression method:
TPM3dplt(PLTbd)
# }

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