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In the first part of the method, the general HiL system structure is investigated and appropriate assessment criteria are defined.
For each method the general principle is briefly outlined, followed by discussions on characterization of polymeric materials, in general, and synthetic polymeric membranes, in particular.
By virtue of assumed mode method, the general dynamic model of an arbitrary flexible body with any number of lumped parameters is derived in an explicit closed form, which possesses the modular characteristic.
By the use of complex variable theory and Laurent series expansion method, the general expression of the magnetic and the magnetoelastic complex potentials for the circular inclusion problem is derived.
Expanding the definition of the Airy's stress function of pure elastic field into the magnetoelastic field and applying the superposition method, the general expression then can be reduced to a set of linear algebraic equations and solved in a series form.
In separation of variables method, the general formulation of the natural mode function and the relations among two spatial eigenvalues and a temporal eigenvalue are directly obtained from the characteristic differential equation, and the coefficients of exact mode functions and two exact eigenvalue equations are determined by two pairs of opposite edge conditions.
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The chromatographic method is the general method for separating mixtures.
Compared with traditional methods, the general method is adapt to any rheological model of annular laminar flow, and has good universality, simple modeling process and high accuracy.
In applying these methods, the general shapes or forms of structures are unknown in advance, the so called free-form structures (Liu and Shimoda 2014).
With both Cerner and NCCLS methods, the general trend for estimates of susceptibility increased as the period of analysis lengthened.
Statistical methods The general linear model was used for continuous outcome while analysis of associates between categorical outcomes was performed as analysis of marginal homogeneity in contingency tables.
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