TCorrect {TPMplt}

Adiabatic heating effect correction

Description

Adiabatic heating effect correction

Usage

TCorrect(
  x,
  lyT,
  lySR,
  eta,
  rho,
  c,
  StrainSeq,
  ACorrect = 1,
  manual = NULL,
  Amplifier = 1000
)

Arguments

x

A data frame with VBTree style. Pay attention, all factors in column names should be separated by "-" symbol, and factors for temperatures and strain rates should be saved in pure numeric style.

lyT

An integer to specify the layer for temperature attribute in the vector binary tree.

lySR

An integer to specify the layer for strain rate attribute in the vector binary tree.

eta

Efficiency of deformation heating.

rho

Density of materials, unit is g/cm^3.

c

Heat capacity of materials, unit is J/(kg*K).

StrainSeq

A vector to specify the sequence for flow strain.

ACorrect

Coefficient to modify for density or heat capacity using different units. Default value is 1.

manual

An integer vector with the length of 3 where the 1st element denotes the layer for Stress and Strain, the 2nd and 3rd elements represent the levels for Strain and Stress, respectively. The default setting is NULL, which can call the function lyIDdetector for automatical completion this vector.

Amplifier

Amplifier for linear fitting. Default value is 1000.

Value

A data frame with VBTree style including the adiabatic heating corrected flow stress using the StrainSeq as conditions.

Examples

# Constants of steels as example:
dt_TC <- TCorrect(TPMdata, 2, 3, 0.9, 7.8, 502.416, seq(0, 0.9, 0.005))

# Data without adiabatic heating correction
SSplots(TPMdata, 2, mfrow=c(2, 2))

# Data with adiabatic heating correction
SSplots(dt_TC, 2, mfrow=c(2, 2))