Sentence examples for classification fabric from inspiring English sources

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Soft computing applications for knitted fabric defect identification in static and dynamic conditions, fabric classification, fabric engineering, knitting machine control and optimization are discussed.

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The classification of fabric patterns and their coupling coefficients of plate stiffness matrices are found to be dependent on the distribution of crimped regions, or more specifically, the skewness of that distribution.

According AAMI barrier performance classification, all the fabrics except 100% cotton fabric of 150 g/m2 (i.e. fabric C) can be used for level 1 protection only.

Most of the above terms indicate structural or fabric classification of metamorphic rocks.

A processing chain is proposed to realize indicator calculation and urban fabric classification for any french municipality according to reference data provided by the French National Geographical Institute (IGN).

New geometrical parameters are introduced in order to describe general families of twill and satin woven patterns, and a new classification of woven fabrics is proposed based on these parameters.

100% polyester and polyester cotton fabrics treated with 4%and7%7% fluorpolymer reach hydrostatic pressure level of more than 20 cm and therefore can be used for level 2 protection as per AAMI barrier classification, whereas 100% cotton fabric can provide only level 1 protection even on application of 7% fluoropolymer finish.

Three major branches of soft computing, namely fuzzy logic, neural networks, and genetic algorithms, are discussed with respect to their applications in solving a variety of textile problems ranging from fiber classification, color grading, yarn and fabric property prediction, to the optimization of products and processes and even searching for a pleasing garment design.

This chapter introduces the classification of hollow woven fabrics and their structural attributes, describes the possible routes of manufacture for different types of hollow fabrics, explains the most attractive properties and potential applications, and discusses the geometrical modelling and techniques used in finite element analysis of this type of structure.

Usually carbonate rocks are differentiated by factors such as depositional texture, grain or pore size, rock fabric or diagenesis following some classification schemes put forward by different groups of scientists (Lucia 2007; Embry and Klovan 1971).

Any classification of metamorphic rocks tends to stress either their fabric, mineralogy, or primary origin.

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