Knowledge / Textile Technology / Yarn properties and testing

Yarn properties and testing

Textile Technology (B.E./B.Tech) · Yarn manufacture · free study notes for exams, placements and interviews

In short

Yarn properties and testing covers how a spun yarn is described numerically — its fineness (count), twist, strength and elongation, evenness, imperfections, hairiness, blend composition and appearance — and the standard instruments and procedures used to measure each. These numbers decide whether a yarn will run on a loom or knitting machine, what fabric it makes, and what price it fetches; yarn is bought and sold on count, CSP/RKM and Uster statistics, not on description. The topic is examined in Yarn Manufacture and Textile Testing papers, in the Textile Engineering and Fibre Science (TF) GATE paper, and it is the core technical ground for quality-control interviews at Indian spinning groups (Vardhman, Arvind, Trident, RSWM, Nahar, KPR, Welspun, Raymond) and at SITRA, BTRA, ATIRA and Textiles Committee laboratories. Testing in India follows IS standards issued by BIS (Textile Division) and the equivalent ISO/ASTM methods, with results benchmarked against Uster Statistics percentile bands.

Explained

Yarn fineness: count systems

Twist

Strength, elongation and related tensile properties

Evenness, imperfections and hairiness

Other yarn properties and their tests

Standards, sampling and conditioning

Key points

Formulas and examples

tex = mass in grams of 1,000 m of yarn; denier = g/9,000 m; dtex = g/10,000 m
Ne = (number of 840 yd hanks)/(1 lb); Nm = metres per gram
tex = 590.5 / Ne; tex = 1000 / Nm; denier = 9 × tex; Nm = 1.6934 × Ne
Count from a lea: Ne = 453.6 / (lea mass in g) × (120/840) ... practically Ne = 64.8 / lea mass in g (120 yd lea)
Resultant tex (n equal singles) = n × single tex; Resultant Ne = single Ne / n
TM (English) = TPI / √Ne; Twist factor αtex = TPM × √tex; TPM = TPI × 39.37
Twist angle: tan θ = π d × TPM (d = yarn diameter in m, same units as length)
Twist contraction % = (L_untwisted − L_twisted)/L_untwisted × 100
CSP = lea strength (lb) × count (Ne)
Tenacity (cN/tex) = breaking force (cN) / linear density (tex); RKM (km) = tenacity (cN/tex)/0.981
CVlim % = 100/√n, n = mean number of fibres in cross-section = yarn tex / fibre dtex × 10
CV% ≈ 1.25 × U%; Index of irregularity I = CV_actual / CV_lim
Moisture regain R% = (W − D)/D × 100; Moisture content M% = (W − D)/W × 100 (W = conditioned mass, D = oven-dry mass)
Combining CVs of independent stages: CV_total² = CV_1² + CV_2² + … + CV_n²

Example 1 — Count from a lea, and conversions. A conditioned 120 yd lea of cotton yarn weighs 2.16 g.

Example 2 — CSP and tenacity. A 30 Ne carded yarn gives a mean lea strength of 36 kgf; single-yarn test gives mean breaking force 310 cN at 500 mm gauge.

Example 3 — Twist multiplier and twist angle. A 40 Ne combed warp yarn is spun at 4.3 TM.

Example 4 — Limit irregularity and index of irregularity. A 20 tex cotton yarn is spun from cotton of fineness 1.8 dtex (≈ 4.0 micronaire equivalent range); measured U% = 10.4.

Example 5 — Moisture correction on an invoice weight. A despatch of cotton yarn weighs 1,000 kg as received; an oven-dry test shows actual regain 6.2 %, while the commercial regain for cotton is 8.5 %.

PropertyInstrumentSpecimen / conditionReported as
Linear densityWrap reel + balance120 yd lea or 100 m skein, conditionedtex, Ne, Nm, denier
TwistTwist tester (untwist–retwist / direct)10 in or 25 cm, set pretensionTPI, TPM, CV%
Lea strengthPendulum lea tester120 yd leakgf, CSP
Single-yarn tensileCRE tester (Tensorapid/Instron)500 mm gauge, 5 m/mincN/tex, elongation %, work of rupture
Evenness, IPICapacitive evenness tester1,000 m at 400 m/minU%, CV%, thin/thick/neps per km
HairinessOptical sensor / Zweigle400 m at defined speedH value, S3 per 100 m
FaultsClassimat / winder clearer100 kmClass A1–I4 counts
Blend ratioChemical dissolution1–5 g, duplicate% by conditioned mass
Yarn propertyRing (30 Ne cotton)Rotor (30 Ne cotton)Air-jet / vortex (30 Ne)
Tenacity (cN/tex)15–2011–1512–16
Elongation (%)5–75–74–6
U% / evennessGoodBetter (more even)Good
IPI per kmModerateLow thick/nepsLow
Hairiness HHighestLowerLowest
Twist neededBase10–20 % moreLow/none (wrapper fibres)

Where it is used

Interview questions

Common mistakes

Related topics

Open in the Knowledge reader →Find jobs →