Checking the Validity of Properties in the Material Library
The following section lists points to consider about the definition, error estimate, and conditions for some of the Material Library properties listed in Table 2-4.
Coefficient of Thermal Expansion
The coefficient is defined as L/L)T/(T − Tref) and in most cases, it is calculated from the ΔL/L values.
Elastic and Initial Shear Modulus
Poisson's Ratio and Initial Bulk Modulus
Thermal Conductivity
Thermal Diffusivity
Electric Resistivity
This property is very sensitive to impurities, heat treatment, and mechanical worked state, especially at very low temperatures.
Electrical Conductivity
This property is very sensitive to impurities, heat treatment, and mechanical worked state, especially at very low temperatures.
Surface Emissivity (εT)
This property is the measured emissivity over all wavelengths and 2π radians. This is the emissivity used in the Stefan-Boltzmann law.
Normal Total Emissivity (εT,n)
Density (ρ)
Tensile Strength, Yield Strength Level, and Elongation
Fatigue S-N Curve
Fatigue data is given as the maximum stress, σmax, as function of the number of cycles. The stress amplitude, maximum stress, and minimum stress are related through the stress ratio, R.
The maximum stress, σmax, is given together with the stress ratio for all fatigue data. Then calculate the stress amplitude as:
Creep Strength and Stress-Rupture Curves
This property is very sensitive to the test atmosphere as well as the microstructure and heat treatment of the material.
Polymers and Polymer-Based Composites
Properties of polymers and polymer-based composites are sensitive to moisture and processing conditions, and they can show time-dependence at higher temperatures. The errors/uncertainties can be large compared to those of other materials. Keep these aspects in mind when using the properties of these materials.
General
The magnitude of the errors reported by authors for a given property is usually smaller by a factor of 2–3 than the error between different sources for the same data. This is especially true for materials such as ceramics.