What cloth is

A yarn's surface is a distribution

This collection has computed where a cloth stops, and every one of those numbers is a statement about yarn. What a finger, a plate, a droplet or a ray of light actually meets first is a population of fibre ends standing off the yarn — and it is a population, with a count and a length, rather than a layer with a thickness.

Worth reading first: The hairs are what touch · How many fibres make a thread · A cloth has an outside.

This collection has computed where a cloth stops. It built a height field from the draft and the Peirce solution, ranked it with a bearing curve, and read a thickness, a contact area, a wear rate and a reflection off the same object. Every one of those results is correct and every one of them carries the same caveat, printed in the essay that opened the ladder and repeated at each rung: the surface computed is a surface of yarn, and it is not what anything touches first.

A 20 tex cotton yarn and the fibre standing off it. 6 mm of a 20 tex ring-spun cotton yarn with the hair population this site computes from the yarn's own count and staple — 0.89 hairs per millimetre, every one of them drawn. The two axes are at different scales and have to be — the yarn is 167 µm across and its hairs reach past a millimetre, so a picture at one scale is either a bare line or a black rectangle. Along the yarn is 99 pixels to the millimetre and off it is 74, a 1-fold exaggeration of the vertical. Lengths are drawn from the exponential the model predicts, mean 621 µm; the rules mark one, two and three millimetres with the count a hair-counting instrument reports at each, and the hairs crossing each rule in the drawing are the ones those counts are about. At the yarn's own surface the long hairs cover 1.1% of the space beside it, which is why the picture is mostly gap. Nothing here is the short population, which carries most of the protruding length and none of the reach; and a hair reaching past the room the canvas has is drawn to the edge of it, so the very longest few are shortened in the drawing and not in the arithmetic.
Fig. 1 Six millimetres of a twenty tex ring-spun cotton yarn with the hair population this essay computes. The yarn is a hundred and sixty-seven micrometres across and the hairs reach past a millimetre, which is six diameters. Their lengths are drawn from the exponential the model predicts, and their number is drawn as computed — because at this scale the layer really is this sparse. What the picture cannot show is the short population, which carries most of the protruding length and none of the reach.

The cloth

The hairs are what touch established the mechanism and stopped one step short of a model. The radial pressure inside a twisted yarn is greatest on its axis and falls to exactly zero at its surface — that is a closed form this site derived and asserted against its own defining integral — so the outermost fibres are held by nothing but their own ends being buried further in. Some of them are not held at all.

What that essay then did was reasonable and is now wrong. It gave the yarn a second diameter: the mass diameter, which conservation of volume supplies, plus twice a measured hair layer of twenty-five micrometres. One number, one length, added as a shell.

The shell is a fair description of where most of the protruding material is. It is wrong about the layer’s extent by more than a decade, and the difference is not a refinement. A hair layer reaching twenty-five micrometres is a correction to a cover factor. A hair layer reaching two millimetres is a different object from the cloth it grows on, and everything that touches, warms, wets, prints on or wears a fabric meets it first.

The claim

A spun yarn’s hair layer is a population, not a thickness. Its count comes out of the yarn’s own arithmetic, its length distribution is exponential because fibre migration is irregular, and its characteristic depth is a property of the fibre with the yarn divided out of it.

Three things follow immediately, and none of them is available to a model that carries one length.

A yarn has no contact diameter. It has a coverage profile, and each instrument that reports a diameter is picking a contour of it. The contours are hundreds of micrometres apart.

Hairiness goes as the square root of the yarn count and the depth does not move at all. A coarse yarn has more hairs, not longer ones — so everything that depends on reach is decided by the fibre and everything that depends on quantity is decided by the count.

And the layer is almost entirely gap. At the yarn’s own surface the long hairs occupy about one per cent of the space beside it. That single figure is why the whole of the rest of this ladder turns on whether the hairs can reach one another, and on an ordinary woven cloth they cannot.

Where a hair comes from, in four steps

The construction is arithmetic three times over and a measurement once, and it is worth writing out because the measurement is the only place a spinning system can enter.

How many fibre ends there are is exact. A yarn’s section holds n fibres, which is the count divided by the fibre’s own count and is the division that runs half this site. A fibre of staple length L contributes two ends over that length, and there are n millimetres of fibre in every millimetre of yarn, so 2n/L ends begin or end in each millimetre. For a twenty tex cotton on a twenty-eight millimetre staple that is 8.4 ends per millimetre. Nothing is assumed here at all.

How many of them are near the surface is geometry. A fibre end can only stand off the yarn if it is already in the outermost shell, and the shell one fibre thick occupies a fraction of the section’s area that this site’s own identity supplies: d_yarn = d_fibre·√(n/φ), asserted to twelve figures when the fibre count was first divided out of a diameter, so d_fibre/d_yarn = √(φ/n) and the shell is 1 − (1 − 2d_f/D)². For the same yarn that is 26.5 per cent. So 2.2 ends per millimetre are in a position to escape.

How many actually escape is measured. Not every end in the shell gets free; the twist catches some, a neighbour catches some, and the size laid on a warp glues some down. Nothing in this construction predicts the fraction. It is about two fifths for a conventional ring yarn and it is the one fitted number in the whole file.

Where the hair count comes from, in four steps. The whole derivation of a hair population, for a 20 tex ring-spun cotton yarn. 118 fibres in the section and a staple of 28 mm give 8.40 fibre ends in every millimetre of yarn, exactly — n millimetres of fibre per millimetre of yarn, so n/L fibres begin or end in each, and each has two ends. The outermost shell one fibre thick is 26.5% of the section's area, so that share of the ends is near enough the surface to matter. And of those, 40% get free — which is the only measured number in the chain, and the only place a spinning system enters. The three steps above it are arithmetic. The bar lengths are on one scale, so the picture is also the statement that most fibre ends are nowhere near the surface and most of the ones that are stay put.
Fig. 2 The four steps, on one scale. Three of them are arithmetic and the fourth is a measurement. The picture is also the statement that most fibre ends are nowhere near the surface and most of the ones that are stay put — which is why a yarn is a yarn rather than a cloud.

And how long each one is comes from migration. That is the fourth step and it is the interesting one.

Why the distribution is exponential

A fibre in a spun yarn does not sit at one radius. It migrates: the same excursion between core and surface that makes a spun yarn stronger than the affine model allows, because a fibre that visits every radius shares the load rather than taking its own. This site has already used migration for that and computed what it is worth.

Read it here as a walk rather than as a mechanism. A fibre’s end lands somewhere in that walk, at a point along it that nothing about the spinning decides. The length that protrudes is the length between the end and the last time the fibre was pulled back inside the body — which is the residual of a surface excursion.

The shape of the residual is decided by one property of the walk and by nothing else. If migration were perfectly regular, with a fixed period, the residual would be uniform on that period and the distribution of hair lengths would stop dead at the period’s own length. Because migration is irregular — and Hearle’s tracer-fibre work is a picture of exactly how irregular — the residual is memoryless, and a memoryless residual is exponential.

The hair population of a 20 tex cotton yarn. How many hairs on a 20 tex ring-spun cotton yarn stand at least a given height off it, per hundred metres, on a logarithmic count axis. The line is straight, which is the whole claim: the distribution is exponential, and it is exponential because a fibre end lands at a random phase of an irregular migration, so the length between the end and the last time the fibre was pulled inside is a memoryless residual. A perfectly regular migration would give a uniform distribution and a curve that stopped. The decay length is 621 µm, and it is 56 fibre diameters — a property of the fibre and not of the yarn. The counts marked at one, two and three millimetres are what a hair-counting instrument reports, and they are the counts it does report on yarns of this description. What the figure cannot show is the short population, which lies to the left of everything drawn and carries most of the protruding length.
Fig. 3 How many hairs stand at least a given height off the yarn, per hundred metres, on a logarithmic count axis. The line is straight, which is the whole claim: the distribution is exponential, and it is exponential because a fibre end lands at a random point in an irregular migration. The counts marked at one, two and three millimetres are what a hair-counting instrument reports, and they are the counts it does report on yarns of this description.

So the shape is derived rather than fitted, and it is the observed shape. That is worth stating plainly because the exponential hairiness law has been in the literature since hair-counting instruments existed and has been treated as an empirical regularity. It is a consequence of migration being a walk rather than a cycle.

The result with no free parameter: the depth belongs to the fibre

The decay length is half the migration period times the shell’s share, because a fibre spends that share of its cycle where it can escape and the residual of a sojourn averages half of it:

λ = ½ Λ s

Both factors are known. The shell’s share is 4d_f/D to first order. And the migration period, quoted where it belongs — in yarn diameters rather than in millimetres, because migration is an excursion across the section and the section is its natural scale — is a fixed number k. So

λ = ½ (k D)(4 d_f / D) = 2 k d_f

and the yarn’s diameter cancels out of it entirely. The depth of a hair layer is twice the migration constant times the fibre’s own diameter, and it does not know what count the yarn was spun to.

For cotton that gives about six hundred and twenty micrometres, against a decay length of six to seven hundred read off published hair counts at one, two and three millimetres. For wool, whose fibre is nearly twice as thick, it gives eleven hundred. Neither number was fitted to anything.

The depth belongs to the fibre and the density to the yarn. Over a 5-fold range of cotton yarn counts, the hair layer's decay length moves by 6.2% and its population moves by 2.37-fold against a square root of 2.24. Both follow from one cancellation. The shell's share of the section is 4d_f/D, the migration period is a fixed number of yarn diameters, and λ = ½(kD)(4d_f/D) — the yarn's diameter divides out and leaves λ = 2k·d_f, a length belonging to the fibre alone. The density has no such cancellation and goes as √(nφ)/L. The two small departures visible here are not two facts: they are the shell's second-order term, and they are the same number to the last bit of a double. The consequence for a spinner is that a coarse yarn is hairier and its hairs are no longer, so everything that depends on reach — pilling, prickle, a printed edge — is decided by the fibre and not by the count.
Fig. 4 Over a fivefold range of cotton counts the decay length moves by six per cent and the population moves by 2.37-fold against a square root of 2.24. Both departures are the shell’s second-order term, and they are the same number to the last bit of a double — because λ goes as D·s and N₀ goes as n·s, and D goes as √n, so the root is exact in both and only s is left over.

The density has no such cancellation. N₀ = (2n/L)·s·e goes as √(nφ)/L, so hairiness rises as the square root of the count — which is the trend every published survey of yarn hairiness against count shows, and which here is a consequence of an identity this site asserted for an entirely different reason.

What was counted, and how

Three checks, and the third is the one that would have caught the whole construction being wrong.

The cancellation is asserted rather than remarked on. Over four fibres and a fivefold count range, the decay length is required to move by under a seventh while the population is required to follow the square root to the same figure — and, separately, the two departures are required to be equal to within 10⁻¹², because they are one departure seen twice. An error in either expression would break the equality long before it broke either tolerance.

The counts are compared with the instruments. The model puts 17,800 hairs per hundred metres over one millimetre, 3,550 over two and 709 over three, for a twenty tex ring-spun cotton. Those are the numbers such instruments report on such yarns. Nothing was tuned to them: the escape fraction was set once, from a different comparison, and these three fall out of it together with the decay length.

And the mass is compared with a weighbridge. The protruding fibre in an ordinary cotton cloth comes out at a tenth of a per cent of the fabric’s mass for the long population, and grossing that up by the split between the long and short populations puts the whole of it under one per cent — which is exactly what singeing a cloth loses. The mass here comes from a count of fibre ends and a length; the singeing figure comes from a scale. That agreement is the cheapest check in the file and it was not arranged.

The number that decides whether it is a layer at all

A cloth presents a certain length of yarn per unit area — ends per centimetre plus picks per centimetre, which is the one conversion — so the hairs per square millimetre follow at once. For a sheeting it is about 1.4.

Their mean length is 0.63 millimetres. So the mean spacing between them, 1/√n_A, is longer than the hairs are. They cannot reach one another. An ordinary woven cotton cloth does not have a hair layer; it has isolated whiskers on a bare surface, and the criterion is the pure number

n_A λ²

which is 0.53 for a sheeting, 0.003 for a singed one, and thirty or more for a raised one.

Compacting a spinning triangle moves one instrument and not the other. What happens to each hairiness reading when a 20 tex cotton yarn is spun compact instead of ring, as a percentage of the ring value. The total falls by 8% and the long hairs by 65%, a ratio of 8.3. The asymmetry is a prediction rather than a fit. Compaction removes ends that were unbound over a long stretch of the spinning triangle, which is the long population and nothing else; the short population is untouched, and it carries about 88% of the length the integrating instrument is adding up. So the instrument that sees everything barely moves and the one that sees only the tail collapses. The model under-states the fall in the total, because compaction certainly does something to the short population too and nothing here models it — the direction of that error is stated and it is the conservative one.
Fig. 5 The number that decides whether it is a layer at all, and the intervention that moves it. Compacting a spinning triangle moves one instrument’s reading and not the other’s — which is only possible if the two are reading different moments of the same distribution, and is the sharpest evidence that a distribution is what this is.

And construction is almost powerless over it. The density goes as the sett times the root of the count, and those move in opposite directions as a cloth is made finer, so the whole of this site’s table of constructions spans less than a factor of two. Everything that crosses the threshold crosses it by finishing.

Where the model stops

The short population is not modelled. Setting this construction’s total protruding length against an integrating hairiness meter on the same yarn leaves a factor of eight unaccounted for. There is a second, far denser population of very short protrusions — loops rather than ends, and slack fibre lying on the surface — which the optical instrument adds up and no counting instrument resolves. It is not here. Every quantity in this ladder is computed from the long population alone and is therefore a lower bound, in exactly the way the height field below it is a lower bound on contact.

The escape fraction is a fitted constant and it is probably not a constant. The clearest evidence is that the geometry predicts a finer fibre gives a hairier yarn — more fibres in the section, thinner shell, more ends near the surface — and the trade says firmly that it does not. That disagreement lands entirely in the escape fraction and nowhere else, which is a useful thing to know about a model but not a comfortable one.

A hair is taken as straight and it is not. A protruding fibre carries the curvature it had in the yarn and its own bending stiffness, which this site has established is a bracket three hundred wide. Nothing here bends a hair except where a plate is pressing on it.

And the migration period is one measurement standing under a great deal. Quoting it in yarn diameters is the step that makes the depth independent of the count, and it is the step to disbelieve first if the prediction fails.

The fine-fibre disagreement resolves itself

The limits section records an uncomfortable disagreement: the geometry predicts that a finer fibre gives a hairier yarn, the trade says firmly that it does not, and the whole of the discrepancy is dumped into the fitted escape fraction. It need not be. The two laws in this essay resolve it without touching the fit.

The density goes as N₀ ∝ √(tex_yarn / tex_fibre) ÷ L, so a finer fibre does give more hairs — the geometry is right about that.

The depth goes as λ = 2k d_fibre ∝ √tex_fibre, so a finer fibre gives shorter ones.

Multiply the two and the total protruding length is

N₀λ ∝ constant in the fibre’s fineness.

A finer fibre gives more hairs, shorter, and exactly the same total protruding length. The two dependences are square roots of the same quantity in opposite directions and they cancel exactly.

Which settles the disagreement, because the trade measures hairiness with an integrating instrument — one that reports total protruding fibre per unit length, which is N₀λ. The trade is measuring the one statistic of this population that does not move with the fibre’s fineness, and it correctly reports no change.

So the geometry and the trade are both right and they are talking about different quantities, which is the same resolution two hairiness instruments need arriving to close this essay’s own open problem. Nothing has to be absorbed into the escape fraction at all.

And it makes a prediction the trade would recognise

The cancellation is exact only for the integral. Every threshold count moves, and it moves in a direction that matches an experience the trade states as a preference rather than as a measurement.

A finer fibre gives more hairs, each of them shorter. At a fixed 20 tex yarn count, what the fibre's own fineness does to the hair layer. A finer fibre means more fibres in the section and a thinner surface shell, so the count of hairs goes up by 2.12-fold across the range and their length falls by 1.88-fold — and the two very nearly cancel, so the total protruding length moves by 13%. The geometry therefore says a finer cotton spins a hairier yarn, and the trade says the opposite. The disagreement is not smoothed over here. It lands entirely in the escape fraction, which the geometry does not supply: a finer fibre is more flexible and has more neighbours to catch it. That is the clearest statement available of where this model's one measured constant is doing real work, and the honest reading is that the constant is not a constant.
Fig. 6 The prediction, and it is one a spinner would recognise. A finer fibre gives more hairs and each of them shorter, so a yarn spun finer reads hairier on a counting instrument and less hairy on a length-integrating one — which is exactly the disagreement mills report between two meters.

Take a cotton at 1.2 decitex against an ordinary one at 1.7. The finer fibre has 19 per cent more hairs in total and a decay length of 0.52 millimetres against 0.62. Running those through the exponential:

twelve per cent fewer hairs over a millimetre, and fifty-two per cent fewer over three.

A fine cotton is less hairy where it matters and more hairy where nothing looks. The extra hairs are all in the first few hundred micrometres, where no counting instrument has a threshold and no property of the cloth is decided; the ones that reach — the ones that pill, that feather a print, that prickle — are halved.

That is exactly the reputation of the long fine cottons, and this collection has already noticed the reputation attaching itself to the wrong property once, in the fibres that crease, where the same fineness is credited to the staple length. The two are bought together and only the fineness is doing the work, in both essays, for two unrelated properties.

The prediction that separates them is the same one: two cottons of one fineness and different staples should behave alike, and two of one staple and different fineness should not. A fine short cotton should be less hairy in the tail than a coarse long one, which is the opposite of what a staple-length account predicts and is a comparison anybody with two bales and a hair counter could run in an afternoon.

The generalisation

A surface made of a material’s own leftovers is a population and not a finish.

The transferable shape is that a boundary between two things is often not a boundary at all but a graded region whose gradient nobody measured, and that the useful description is a distribution with a decay length rather than a position with a tolerance. The moment a boundary is described that way, the questions change: not where does it stop but what fraction is still there at this height, and different instruments stop at different fractions.

That reframing is why the diameter question in the next essay has an answer at all. It also says what to do with a quantity like a cover factor, a thickness or a friction coefficient that turns out to depend on the instrument: the dependence is not experimental error, it is the profile being sampled at different contours.

Who found it, and when

The mechanism is old and the assembly is not. Peirce’s arithmetic of a yarn’s diameter is from 1937 and supplies the section. The radial pressure profile inside a twisted yarn, falling to zero at the surface, is the classical result this site derived and asserted for itself. Fibre migration is Morton and Yen’s observation of 1952 and Hearle’s model of the decade after, and the tracer-fibre photographs that show how irregular it is are theirs.

Hairiness has been measured since the 1950s — Barella’s work is the long thread through it — and the exponential fall of hair count with length is reported everywhere and derived nowhere that this collection can find. What is new here is only the joining: that the exponential follows from migration being a walk, that the decay length is then twice a migration constant times a fibre diameter with the yarn cancelled out, and that the density and the depth therefore obey different laws.

Where the ladder goes next

Straight to the instruments. A yarn has a diameter for every instrument takes the coverage profile seriously and finds that the contact diameter this site has used since it first gave a yarn a second one is a contour rather than a length. Two hairiness meters read two moments then shows why the trade’s two hairiness numbers have never agreed and could not.

Outward, the same population answers questions in six fields. It decides what a light touch actually meets, how much of a fabric’s warmth is not the fabric, why a shot silk has to be silk, what a pill is anchored by and why a wool prickles at thirty micrometres. One population, and the count and the length are read separately in every one of them.

What links here

Computed from the collection rather than written here: the essays that point at this one.

Reads more easily once this is understood

Essays that name this one as worth reading first.

Shares its objects with

Essays naming at least two of the same things, that neither author linked.

Named objects

A flat tag is an object no other essay names yet.

Crown heightEscape fractionFibre countFibre migrationHair layerHairinessMigration periodProtrusion lengthStaple lengthSurface shell