Abstract
It is not surprising that the various regions developed
their own systems of textile measurement and textile vocabulary. In a world in
which the pace of life was relatively slow, regional variations in systems of
units were tolerable, but to-day communications are rapid, and commerce and
technology need a uniform system of measurement that is universally accepted
and understood. Errors of conversion are automatically eliminated, but, of
course, during the transitional stage, there will be misunderstandings and
arithmetical errors when old units are converted into new, even when prepared conversion tables are used. For textile calculations, it may be found that the usual
sets of conversion tables do not include quantities peculiar to the textile
industry. For these quantities, a conversion system has to be devised by using
first principles and then published as a table or graph or left just as a
conversion factor. Most of the calculations made by a textile technologist
consist of a series of relatively simple steps, mainly arithmetical and at
times using elementary aspects of trigonometry, geometry Algebra. The
calculation is generally straightforward; it is the local thinking required
that often presents most difficulty. It is usually worth spending a few minutes
in considering various approaches to a problem before setting down the first
line of calculation. An engineer or research scientist may employ more complex
mathematics, a thorough training in pure and applied mathematics being
required. The objective of any experiment or measurement should be to produce an answer that is as accurate as the instruments available and the skill of operator
will allow. For many calculations, the person doing the necessary numerical
work has a rough idea of the order of magnitude he should obtain. Scientific
sampling, design of experiments, the analysis, presentation and interpretation of data through statistical techniques-all these created the concept of specification,
production and inspection as a dynamic cycle. Inspection now is the source of
data which, analyzed and interpreted through statistical methods, is
continuously feed back to production people for corrective and preventive action. Inspection, that is, the act of screening out defectives before they reached
the customer.
Need for Mathematics in Textiles
In any manufactured product no two articles are perfectly
alike, For example, it is impossible to find two knots of yarn having exactly
the same count, strength, evenness, length etc. this is because the raw
material i.e. cotton itself varies from fibre to fibre within a bale, bale to
bale, and season to season. The quality of the product in each process, therefore, varies according to the variation in the raw material used and degree of
technical and refinement attained during processing. Further, machines and
tools wear and tear due to long use it is neither possible nor economical to
replace the machine. Superimposed on this is the variation arising from lack of
fibre control during drafting and that from chance causes. Further, it is
impossible to eliminate the effect of human factor entirely. Changes in
atmospheric conditions also contribute towards an increase in overall variation
in the quality of the product. These variations in various regions are often
occurring problems in textile. Using various mathematical calculations can
solve these variations.
Various Mathematical Calculation Methods Involved in
Textile
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Statistical Tests
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Graphical Analysis
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Distributions
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Vectors
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Trigonometric Functions
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Matrix
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Fourier series
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Z and Laplace Transformation
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Conversions and Formulas
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General Mathematical Applications
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Statistical Techniques
Statistics is defined as scientific method, which deals with
collection, compilation, analysis and presentation of data. It is also defined
as the science of average and the study of variability. They enable us to take
corrective and preventive actions in case of variability and certainty. Some of
the statistical techniques are:
- Chi-square Test: This method is used when there is no prior knowledge of the distribution of test values. They are also used to identify the goodness
of he fit of the given samples. End breakages in spinning, roving,
carding, nep generation in blow room and carding are assessed using this
test. The results are compared with the confidence limits and the
performances are determined.