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Important Yarn and Cloth parameters and Formulae


    • YARN
      • Yarn diameter and Count
        Relationship between yarn count and diameter is dependent upon specific volume of yarm. Specific volume, v, is the ratio of the volume of yarn to that of the same weight of water. Specific volume of yarn depends upon the raw materisl, type of spinning system, twist factor and spinning parameters. Ring spun yarns have a lower specific volume than rotor spun yarns. Acrylic and woolen yarns have a higher specific volume than cotton yarns. Specific volume reduces with increase in twist factor. If d is diameter in inches of yarn of count C
        v = 858Cd2.
        (1/d) = 29.3√(C/v).
        Specific volume of yarn is usually 1.1 to 1.2. If speific volume is assumed as 1.1
        (1/d) = √C. If d1
      • is diameter in cm and N is the count in tex units then
        d1=√N/267.3
      • Twist Factor
        Twist factor indicates the amount of twist put into the yarn and determines among other things the strength, elongation, specific volume, liveliness of yarn. If twist factor is k and t is twists per inch then,
        k = t/√C. If fibres follow helical path, Twist factor is equal the angle surface fibres make with axis of yarn
        tan x = Πdt
        =Π(√v)k/29.3
        =0.107k(√v)
        When v = 1.1
        tanx = k/9.
      • Tenacity
        Tenacity denotes intrinsic strength of yarn. Strength of yarn is dependent on count and its intrinsic strength. It is usual to refer to tenacity by the term Breaking length. This is the length whose weight is equal to the breaking strength of yarn. If lea strength is used to denote strength, intrinsic strength is given by CS where C is count and S is breaking strength. This is commonly known as CSP or count strength product. As CS reduces with count, corrected CSP is determined by correcting for the deviation of actual count from nominal. If C1is the actual and C nominal count, corrected CSP = CS - (C1 - C)18. If strength is by single thread then tenacity is given by S/N where S is breaking strength and N is count in tex.
      • Irregularity
        Irregularity is an important characteristic of yarn that determines appearance, sale value of yarn and fabric. It also has considerable influence on strength realisation from fibre and performance of yarn. The best possible regularity that can be achieved by current spinning is that with random arrangement of fibres. Irregularity due to random arrangement of fibres, CVr, is given by
        CVr = (√(1002 + CVf2))/n where
        CVf = Coefficient of variation of weight per unit length of fibre
        n = Number of fibres in yarn crosssection.
        CVf for cotton varies within and between bolls, between lots, stations but has a value roughly equal to 30%. In the case of wool it is around 50% and for synthetics around 10%. Upon putting this figure in the above formulae,
        CVr = 106/√n for cotton
        =112/√n for wool
        =102/√n for synthetics.
      • Index of Irregularity
        Index of Irregulaity = Actual CV of yarn/CVr. Index of irregularity indicates the scope for improving the spinning processes for getting better regularity.
      • Imperfections
        These represent outlayers of variations in yarn which have a profound influence on appearance of yarn and fabric and performance of yarn. Uster imperfection tester measures three types of imperfections viz; Thin places, Thick places, Neps. Nep is differentiated from a thick place by the length of the defect. The instrument evaluates nep as a thick place whose length is shorter than 4mm and longer thick places are evaluated as thick. 4 classes of each of these faults are measured as indicated in Table below.
        Thin(%)Thick (%)Nep (%)
        -30+35+140
        -40+50+200
        -50+70+280
        -60+100+400
        Thin places are influenced by fibre properties combing and drafting conditions. Thick places are influenced by fibre properties, blow room, carding and combing and drafting conditions. Neps are influenced by fibre properties and blow room, carding and combing conditions.
      • Faults
        Faults are seldom occuring defects as agaist imperfections which are frequent occuring defects. Faults show prominently in fabric and lead to rejections. They also affect the performance of yarn in weaving and knitting. Uster Classimat has facility to detect faults as per their size and length.
        • Short Length faults
          16 categories of short length faults are measured by Classimat.
          Short Length Faults
          Size of FaultA - 0.1 to 1cmB - 1 to 2cmC - 2 to 3cmD - above 4cm
          +100 to +150%A1B1C1D1
          +150 to +250%A2B2C2D2
          +250 to +400%A3B3C3D3
          above +400%A4B4C4D4

          Very short thick places are caused by the presence of seed coats, broken seeds, trash in the case of cotton and cutterfibres in synthetics. Medium size short thick places are caused by embedded fluff, loose lint among others. Faults of 4cm and above are caused by slubs, undrafted ends, bad piecings etc.
        • Long Thick Faults
          5 catergories of long thick faults are measured by classimat.
          E - Above 8cm length and +100% and above crosssection size.
          Size of fault8 - 32cmabove 32cm
          +45 - +100%FG

          Long thick places of E category are known as 'Spinner's double' and are caused by lashing of an end with adjoining end at roving or ring frame. F and G faults are due to drafting defects at earlier stages, sliver splitting in creel at roving and long overlap of sliver at the time of sliver break at drwaframe.
        • Long Thin Faults
          4 types of thin places are measured
          Size of Fault8 - 32cmabove 32cm
          -30 to -45%H1I1
          -45 to -75%H2I2

          Long thin faults are due to raw material defects, drafting faults in roving and drawing, split sliver in creel of roving, mal functioning of stop motion at drawframe.
          Longer and thicker size faults are easily perceivable in fabric. So A4, B4, C3, C4, D3, D4 are termed as objectionable faults. Quality conscious buyers insist that these faults are below 1 for lac metres. German and Japanese buyers consider even C2 and D2faults as objectionable. E, H2, I1, I2 faults are also objectionable as they lead to fabric rejections and end breaks during working. Clearer settings in winding should be set to remove these faults.
        • Correlogram
          If r(l) is the (Auto)correlation coefficient of thickness( or weight per unit length)of yarn at points 'l' apart, then the plot of r(l) against l is Correlogram. Correlogram is a useful tool for detecting the presence of periodicities in yarn.
          Let t1 and t2 denote thickness(or weight per unit length) of yarn at points separated by 's' distance
          Auto Correlation Coefficient, r(s) = (N(Σtiti+s - ΣtiΣti+s)/√{(NΣti2 -Σ(ti)2)(NΣti+s2 -Σ(ti+s)2)}. For lengths below fibre length, correlogram is determined by the fibre length distribution of cotton. Since part of the fibres are common to both crossections, there will be a positive auto correlation coefficient. Corrleation coefficient between points x aprt,
          r(x) = (1/la)((l - x) f(l)dl)
          where la is mean fibre length, lmis maximum fibre length and f(l) is frequency of fibres of length l.
        • Variance Length curve
          Variance length curve is a graph relating variance of weight of length of yarn and the length. This is a very useful tool in characterising the various types of irregularities in yarn and will assist in locating processes which require improvement. Irregularity in a yarn is given by Variance(x L).
          Here L denotes the total length of yarn taken for study and x denotes the length of pieces cut from the yarn and weighed. If x is varied keeping L constant, variance length curve obtained is known as Between length curve or BL curve. On the other hand, if x is kept constant and L is varied, the curve obtained is known as Within length curve or VL curve. Total varianceof yarn,B(0) or V(∞) is given by
          B(0) = V(∞) = B(L) + V(L). At lengths shorter than longest fibre length, BL curve is influenced by fibre length distribution of fibre as some fibres will be common to both sections. Variance length curve is related to correlogram of yarn as indicated below
          B(x) = B(O)(2/L2) (x-u)r(u)du
          where r(u) denotes auto correlation coefficient of thickness between points u distance apart, B(x) = Variance of weight of lengths x long. When x is less than lt, where lt is half the length biassed mean fibre length of fibre,lc
          B(x) = B(O)(1 - (x/3la))
          Where lais mean fibre length. For lengths longer than longest fibre length,
          B(x) = B(O)lc/x, if there are no other irregularities( no extra auto correlation coefficients) . This enables one to find out how much the actual variance length curve deviates from the ideal. Variance length curve shows the amount of short, medium and long term variations present in a yarn. While short term variations come from ring frame, medium term variations arise from roving frame and long term variatons from drawframe.
        • Spectrogram
          Spectrogram is a fourier analysis of variations present in the material. The amplitude of the variations are sorted as per their wavelength and plotted as a amplitude vswavelength curve. The spectrogram of a yarn due to random fibre arrangement has a "hill" whose maximum wavelength lies in the region of 2.5 to 3 times fibre length. On the top of it, waves introduced by drafting waves is superimposed. Wavelength of drafting wave is also 2.5 to 3 times fibre length and so in normal yarn the "hill" is pronounced depending upon the amplitude of drating wave. With cut staple fibres peak value of spectrogram lies at 2.7 times fibre length. A shorter but a smaller amplitude wave will also be found at half the fibre length and this is a lower harmonic. In between these two peaks, there will be a valley. In cotton, wollen and other material with variable staple diagram, the spectrogram has a hump like shape with maximum around 2 to 3 times mean length. Thus spectrogram of cotton yarns has a maximum at 6 to 8cm, of woolen yarn at about 20cm. OE rotor yarns have a peak at a slightly lower length than ring yarns because fibres are curled with hooks leading to a lower projected length on yarn axis. When periodic variation is present, spectrogram will show a sharp peak at the point corresponding to wavelength of periodicity. So spectrogram is a useful tool for detecting the periodicities in the material. It also gives their wavelength which can be used to trace the cause of periodicity and rectify it.
        • Blend Variability
          Blend variation is an important parameter to be controlled in blends in view of their influence on appearance, fault incidence, grade, and sale value of fabric. Two types of blend variability have to be minimised.
          1. Variations in blend proportion of the component fibres in cross section along the length of yarn
          2. Inadequate intermixing of components within a cross section.
          • Longitudinal blend variation
            If black and white fibres are randomly mixed, white fibres in cross section will have a mean equal to np and a variance equal to npq
            where n is the avearge number of fibres in yarn cross section, p proportion of white fibres and q is proportion of black fibres in yarn. This represents the minimal blend variability that will be present in yarn with the best possible mixing of components. Index of blend variability is a quantity used to assess the extent of departuture of actual blend variation from random mixing.
            Index of blend irregularity = √((1/N)Σ((wi - p ni)2/pqni)
            where wi, bi and ni denote the number of white, black and total number of fibres in a crossection and N total number of yarn cross sections examined. IBI compares the observed deviation in blend proportion in each section against theoretically estimated value of that section and determines the avearge of this over a number of sections.
          • Intimacy of lateral mixing
            To assess intimacy of mixing the ribbon of fibres emerging from front roller nip is examined.Two measures of intimacy mixing are used
            1.Index of mixing,Π = proportion of white fibres that have a white right hand neighbour.
            2. Measure of mixing, g = number of groups of white fibres in the strand.
            Π = (w - g)/g. If mixing is random
            Π = p
            g = npq. Degree of mixing is the ratio gactual/grandom
          • Preferential Migration
            When two fibres of different length, fineness or type are blended, there is a tendency for one of the fibres to preferntially occupy core region and other surface region. Such a preferntial migration will affect properties of yarn and fabric. Several measures have been proposed to indicate quantitatively the extent of preferential migration. The simplest of these is to divide the yarn into two regions, viz; core and surace. For this purpose two concentric circles are drawn on a tracing paper as shown in Fig 1. After cutting the yarn cross section, the trace is placed over the cross section with outer circle coinciding with surface. Number of white and black fibres in core and surface regions is separately counted from which their percentage is estimated' If ws, wc and wo denote the % of white fibres in surface, core and overall portion of cross section and bs, bc and bo denote the corresponding values for black fibres
            Surface Index for white fibre = ws - wo
            Core Index for white fibre= wc - wo
            Surface Index for black fibre = bs - bo
            Core Index for black fibre = bc - bo
            If there is no preferential migration, Surface index and core index for both white and black fibres will be zero. If Surface index of white fibre is positive and that of black fibre is negative, is positive there is preferntial migration of white fibres to surface. If core index of white fibre is positive and that of black fibre is negative, there is preferntial migration of white fibres to core.
                                               Fig 1.
            Long and fine fibres are generally found to occupy preferentially core while short and coarse fibres occupy surface.
        • FABRIC
          • Cover Factor
            Cover factor denotes the density of fabric i.e; the area occupied by the threads in relation the air space between the threads. Ratio of threads per inch to square root of count is defined as "cover factor" K. Cover factor determines the appearance,handle, feel, permiability, transparancy, limits of pick insertion and hardness of fabric. If p is spacing between threads in mils(1/1000 inch)
            K = 1000/(p√C)
            =29.3d1/(p√v)
            where d1is diameter of thread in mils and specific volume of yarn is v. If v is assumed as 1.1
            K = = 28 d1/p.
            If count is in tex units then cover factor is equal to threads per cm multiplied by square root of tex of yarn.When cover dactor is 28, d = p. The threads will contact at the point where they cross from one face to other phase of cloth. Higher cover factors can be obtained by compression of yarns or by distortion of structure.In practise, cover factor has to be kept lower than 28 to allow space for threads to cross. So very high values are possible only in one direction in which threads have high crimp. 28 is the limit for canvas. In poplins warp wil have a higher cover factor than weft. Normal fabrics will have a cover factor of 12..
          • Crimp
            Crimp is defined as the extent to which straightened length of yarn is higher than cloth length which contains the yarn. For determining crimp a length of fabric,l is marked. Yarn is removed from marked length of fabric, straightened to remove the waves by application of tension and measuring its length(l1). Fractional Crimp, c = (l1 - l)/l. Tension applied to straighten the yarn is standardised at 16/C oz.
          • Weight per square yard
            Weight per square yard of fabric is equal to weight of warp and weft in a square yard of fabric.
            Weight of warp = (K1(1+c1)0.6857)/√C1
            Weight of weft = (K2(1+c2)0.6857)/√C2
            Weight of square yd of fabric = (K1(1+c1)0.6857)/√C1 + (K2(1+c2)0.6857)/√C2 Weight per square yd of fabric = (1/√C1)0.6857{K1(1+c1) + K2(1 + c2) ß}
            where suffices 1 and 2 refer to warp and weft and ß = √(C1/C2)
          • Crimp - spacing Relationship
            By neglecting bending resistance of yarn ,and assuming yarn cross section in fabric to be cicular Pierce(JTI 1937, T45) developed a geometrical model to determine crimp, thread spacing relationships. The lie of threads in a plain fabric under such conditions is shown in Fig 2. Fig 2
            Let d1 in mils..... denote diameter of warp
            p1in mils.....denote spacing between warp threads
            Θ1.....denote maximum angle of warp to plane of cloth
            l1.....denote length of warp thread axis between axis of consecutive weft threads
            h1.......denote maximum displacement of warp thread axis, normal to plane of cloth
            c1........denote fractional crimp of warp
             The above terms with subscript 2 denote the corresponding values for weft. Then
            D = d1 + d2
            c1 = (l1 -p2)/p2
            p2 = (l1 - DΘ1)cos Θ1 + sin Θ1
            h1 = (l1 - DΘ1)sin Θ1 + D(1 - cos Θ1)
            h1 + h2 = D Upon expanding sinΘ and cosΘ in ascending powers of Θ c1 = (l1Θ2 - DΘ3 ...)/(l1 -l1Θ2 +DΘ3..) This approximates to h1 ≈ p2√2c1
            In practise however, modification of the factor √2 by 4/3 gives a more accurate estimate h1 = (4/3)p2√c1 As shown earlier, d1 = (1000/29.3)√(v/C) = 34.14√(v/C) where d1 = diameter of yarn in mils, v = specific volume and C = Count of yarn. Since D = h1 + h2, D = 4/3(p2√c1 + p1√c2) = 34.14(√(v1/C1) +√(v2/C2)

            Jammed Structures
            When warp is jammed, the weft starts touching the adjoining warp the moment it leaves previous warp. Length of weft is therefore made of curved wrappings made around warp with no straight portion.In this case l1/D = Θ1
            p2/D = sin(l1/D) = (sin(1+ c1)p2/D)
            h2 = 1 - cos(l1/D)
            Square cloth - jammed structure
            In the case of square cloth, warp and weft have the same diameter, spacing and crimp. p1 = p2, c1 = c2, l1 = l2 = l, h1 = h2 = 0.5
            cos(l/D) = 1- (h/D) = 0.5 Θ = 600 and l/D = 1.0472 radians p/D = sin 600 = 0.866
            c = (l/p) - 1
            l/p = (l/D)× (D/p) = 1.0472/.866 = 1.2092
            c = 0.2092 For square cloth, warp threads leave an uncovered portion (p - d)/p = 1 - D/2p = 0.4227. Proportion of space not covered by warp and weft is projection of both sets of threads and is (o.4227)2 = 0.1787
            Jammed structure with race course cross sectionWhen warp or weft is jammed the threads get compressed and assume a cross section similar to that of an ellipse or race track. Race track cross section is more easily amenable to mathematical analysis.The lie of threads in jammed structure with race track cross section is shown in Fig 3.

            Fig3


            From Fig it is seen that E =√(F2 -h2)where F = D1 + D2, the sum of warp and weft race track radii and A is width of race track and
            p = E + (A - D)
            √(F2 - h2) = p - (A - D) = q
            h = √(F2 - q2)
            √(1 - (q1/F)2) + √(1 - (q2/F)2) = 1. From this the maximum number of picks that can be inserted into a cloth for a given ends per inch and diameter of yarn and likewise for ends per inch.
            Cover Factor for close constructions
            If weave is close in both directions p2/D = sinΘ1 = sin l1/D
            p1/D = sinΘ2
            cosΘ1 = 1 - (h1/D)
            cosΘ2 = 1 - (h2/D)
            cosΘ2 = √(1 - (p1/D)2)
            √(1 - (p1/D)2) + √(1 - (p2/D)2) = 1 This leads to
            K1 = 28D/(p1(1 + ß))
            K2 = 28D/(p2(1 + ß))
            where ß = C1/C2
            For a square cloth
            p1 = p2 and ß = 1 and the closest construction is given by
            √(1 - (p1/D)2) + √(1 - (p2/D)2) = 1
            √(1 - (14/K1)2) + √(1 - (14/K2)2) = 1 Table below shows the cover factor for weft for various values of warp cover factor when both are close.
            Warp Cover FactorWeft Cover factor
            14.520.8
            1518.23
            1616.34
            1715.52
            1815.08
            1914.79
            2014.6
            2114.47
            2214.38
            2314.3
            2414.25
            2514.21
            2614.17

            Normal Square Cloth
            For square cloth of more open structure
            h = (4/3)p√C and D = 2h
            8/3(p√c) = 68.28(√(v/C)
            √c = 25.59/p(√v/C) and K = 1000/p√C So √c = 25.59K√v/1000 = .02559K√v. If v is assumed as 1.1 then c ≈ (K(0.1)/4)2 ≈(K/4)2%
          • Crimp alteration
            Consider the case when one of the threads is stretched by tension. If the weft threads are pulled straight, then h2becomes zero and h1becomes D.
            D = (l1 - DΘ1 )sinΘ1 + D(1 - cosΘ1)
            l1/D = Θ1 + cotΘ1 and
            p2 = l1/D cosΘ1 - Θ1cosΘ1 +sinΘ1. This reduces to p2 = cosecΘ1. If weft threads are too close, warp threads will jam when the straight intermediate portion(l1 -DΘ1) is reduced to zero.
            Then l1 - DΘ1 = 0
            l1/D = Θ1. These equations help to determine the crimp alteration that takes place when warp or weft is stretched or shrunk.

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