Meaning
Mathematical arrays consisting of nine components organized in a three by three matrix describe physical properties that vary with direction in a three dimensional space. A second rank tensor is the standard tool for modeling quantities like thermal expansion and mechanical stress in anisotropic crystals. These tensors provide a way to calculate how an input vector, such as a temperature change, produces an output vector, such as a dimensional shift.
Without this mathematical framework, the behavior of non-cubic materials would be impossible to predict accurately.
Mathematical Frame
Components of the matrix change their values according to specific rules when the reference frame of the observer rotates. This property allows engineers to translate the known characteristics of a crystal into any arbitrary direction required by the design of a part. While a second rank tensor simplifies the representation of complex physics, it requires precise input data from laboratory measurements to be effective.
Lattice Symmetry
Crystal structure dictates which elements of the matrix are independent and which must be equal or zero. Hexagonal systems have fewer independent variables than monoclinic systems, reducing the amount of testing required to fully characterize the material.
Simulation Input
Finite element software uses these arrays to simulate the performance of components under realistic operating conditions. Reliable results in these simulations depend on the accuracy of the initial tensor components provided by the material manufacturer.