Knits and other structures

Why a knit shows a thick place

A woven cloth has hundreds of separate warp ends and averages a yarn's faults among them. A knit has one thread and a machine that repeats — so a difference between two packages becomes a stripe, and the machine chooses its period.

Worth reading first: A cloth cannot be more even than its yarn · The loop · A course is one thread and a warp is many.

A woven cloth beats down its yarn’s irregularity by a square root: a patch three millimetres across holds fourteen independent threads, and the averaging reduces a thirteen per cent yarn to a three and a half per cent cloth.

A knitted fabric is made from the same yarn on the same day and does not look the same. Knitters spend more of their time on yarn appearance than weavers do, machines are equipped with elaborate arrangements for mixing packages, and the characteristic complaint about a jersey is a faint horizontal banding that no weaver has ever met.

The reason is not that knitting is more demanding. It is that the averaging argument requires independent threads, and a weft-knitted fabric does not have any.

The stripe a knitting machine chooses. A circular machine takes its yarn from a fixed number of feeders arranged round the cylinder, and feeder k lays every F-th course. So any difference between packages — a shade, a count, an evenness — is reproduced in the fabric with a period of exactly F courses, and at 20 courses per centimetre that is a band every 48.0 mm on a 96-feeder machine. The machine chooses the period, not the yarn. The spacing is proportional to the feeder count and inversely proportional to the course density, as the turn of the cylinder requires whatever the bars show, and a one-feeder machine produces no band at all from the same packages.
Fig. 1 What a circular machine does to a difference between packages. Feeder k lays every F-th course, so a difference between the yarn at one feeder and the yarn at another is reproduced with a period of exactly F courses. At ninety-six feeders and twenty courses per centimetre that is a band every 48 mm — which is the length scale at which a variation reads as cloud rather than as texture.

The claim

A weft knit turns a difference between yarn packages into a periodic band whose spacing is set by the machine, and the averaging that saves a woven cloth does not apply.

  • A woven cloth has a warp of hundreds of separate ends drawn from hundreds of packages, and it averages them.
  • A weft knit is one thread, taken from F packages at F feeders, laid in strict rotation. The band spacing is F ÷ courses per centimetre and is a property of the machine.
  • A periodic variation is not averaged. It beats a random one of the same size by √(2n/π) at its own frequency, which over a few hundred courses is a factor of ten or more.

So a knit’s appearance problem is a correlation problem, not an evenness problem, and the remedies are all about breaking the correlation rather than about improving the yarn.

Where the independence goes

Take the woven argument apart and see which of its premises fails.

It said: a patch contains sett × L threads from each system, they are independent because they came from different places on the spinning frame, and independent errors add in quadrature.

In a weft knit the first premise still holds in a sense — a patch contains several courses and several wales — but the second does not, and it fails in two different ways at two different scales.

Along a course, the yarn is one continuous thread. Two loops a centimetre apart in the same course are a few centimetres apart along the yarn, which is longer than a staple, so those are independent. This is the scale at which the knit behaves like the woven cloth.

Between courses laid by the same feeder, the yarn is one package. Two such courses are separated along the thread by F course-lengths, which for an ordinary machine is a kilometre — so they are independent as samples of yarn and identical as samples of package. Anything that differs between packages rather than within them is perfectly correlated between them.

That is the failure. A woven warp averages over packages; a knit rotates through them. Averaging destroys a package-to-package difference and rotation preserves it, at a period the machine sets.

The arithmetic of the band

The band spacing is a division:

band=Fcourses per centimetre.\text{band} = \frac{F}{\text{courses per centimetre}}.

For the ordinary large-diameter single-jersey machine — ninety-six feeders on a thirty-inch cylinder, twenty courses per centimetre — that is forty-eight millimetres. For a small twelve-feeder machine at the same course density it is six.

Both numbers are the machine’s and neither is the yarn’s. The same packages on the two machines produce a band five centimetres apart in one fabric and half a centimetre apart in the other, and the second is far less objectionable — not because the fabric is better but because a half-centimetre period is nearer the scale the eye averages well.

That is the whole design tension of a multi-feeder machine. More feeders means more production, because more courses are laid per revolution; and more feeders means a coarser band from the same yarn. The trade’s answer is to make the packages as alike as possible, and the arithmetic says why that is the only answer available: nothing else in the expression can be changed without giving up the production.

The stripe a knitting machine chooses. A circular machine takes its yarn from a fixed number of feeders arranged round the cylinder, and feeder k lays every F-th course. So any difference between packages — a shade, a count, an evenness — is reproduced in the fabric with a period of exactly F courses, and at 14 courses per centimetre that is a band every 45.7 mm on a 64-feeder machine. The machine chooses the period, not the yarn. The spacing is proportional to the feeder count and inversely proportional to the course density, as the turn of the cylinder requires whatever the bars show, and a one-feeder machine produces no band at all from the same packages.
Fig. 2 The same arithmetic on a coarser fabric and a smaller cylinder — fourteen courses per centimetre, twenty-inch diameter, a heavier loop. The band spacings all shift, in exact proportion to the feeder count and inversely to the course density, and the bar at a single feeder is the control: one feeder produces no band at all, from packages that differ by exactly as much. That is the sharpest statement of the claim.

Why the eye is so good at finding it

The band lands where human vision is most sensitive and it lands there parallel to itself, which is the worst combination.

Contrast sensitivity peaks at a few cycles per degree — at reading distance, a period of two to five millimetres, and at arm’s length nearer a centimetre. A forty-eight-millimetre band on fabric held at arm’s length is a little coarser than the peak and is still well inside the range; and because it is a stripe rather than a patch, the eye integrates along it, which is exactly the direction in which integration helps detection rather than hurting it.

Why one wrong dent shows and a whole warp of varying yarn does not. The same total error, arranged two ways. Independent errors put their energy across every frequency the band contains, so the amplitude at any one of them is about a/√n; a periodic error puts all of its energy at one frequency, where the amplitude is a/√2 whatever n is. The ratio between them is √(2n/π) — the π arriving because the amplitude at one frequency of a random sequence is Rayleigh distributed and its mean is √(π/4) of its root-mean-square — and it is a ratio rather than a fitted factor. At 256 ends it is 12.8; at 1024 it is 25.4. So a cloth woven from yarn varying by fifteen per cent looks perfectly even and one dent of the reed set a tenth of a millimetre wide makes a streak, and nothing about the eye is needed to say why.
Fig. 3 The advantage a periodic variation has over a random one of the same total size, against how much fabric is in view. Over 256 courses it is 12.8 times as strong at its own frequency; over 1,024 it is 25.4. Looking at more fabric makes the random part better and the periodic part worse — which is why a knitted band is invisible in a swatch and obvious in a garment, and why the inspection that matters is done on the roll.

This also explains a fact that surprises people coming from weaving: a knitted fabric can be made from a worse yarn than a woven one and look better, provided the packages are alike. The random part of the yarn’s irregularity is averaged by the knit as effectively as by the weave; it is only the correlated part that survives, and the correlated part has nothing to do with the yarn’s coefficient of variation.

What a thick place actually does to a knit

There is a second difference, smaller and worth stating, because it decides what the band looks like rather than where it is.

A knit’s dimensions come from its loop length, and loop length is set by the yarn fed rather than by the yarn’s mass. A knitting machine feeds a length; a thick place going through the feeder makes the same loop, with more mass in it.

So a thick place in a knit changes the fabric’s mass and not its dimensions. A course of heavy yarn is the same width, the same number of wales, the same course spacing, and heavier — which shows as a shade band, since a denser course reflects and absorbs differently.

In a woven cloth the reed sets the spacing, so a thick end changes the local cover rather than the mass alone, and shows as a change in the cloth’s opacity as well as its shade.

One measured irregularity, read against five floors. The same measured coefficient of variation — 20%, the figure this collection took off a delivery note and used throughout its arithmetic of populations — divided by the floor each count sets. It is an ordinary ring-spun yarn at 20 tex, an unremarkable one at 40, and impossible at 40, where the index would be 2.85 and nothing is spun that badly. A coefficient of variation is not a quality until it is divided by its own floor, which is the whole reason the index exists: it is the only measure that compares a fine yarn with a coarse one. The bands are the reported ones for the three spinning systems and they are bands because they are measurements.
Fig. 4 What a thick place is, before the machine does anything periodic with it. The collection’s standard twenty per cent coefficient of variation, divided by the floor each count sets: a yarn is irregular because it is an assembly of a countable number of fibres, and the thinner the yarn the fewer there are to average. Everything the machine does afterwards is arranging this variation in space, not creating it.

The band is not the only period the machine imposes

A feeder rotation is the largest of the machine’s periods and it is not the only one, and the others are worth naming because they are diagnosed by their spacing rather than by their appearance.

The cylinder’s own revolution is a period of F courses divided by nothing — one turn lays F courses, so anything that varies once per revolution repeats at exactly the same spacing as the feeder band. A worn cam track, a single damaged needle’s neighbour, a take-up that pulls harder on one side: all of them produce a mark at the revolution period, which is indistinguishable in spacing from a package difference.

One needle produces a wale-way mark rather than a course-way one, at the wale spacing, and is the easiest of all to identify because it runs the length of the fabric rather than across it.

And a yarn feed device — a positive feed wheel, a storage feeder — has its own circumference, so a fault in one puts a period on the yarn rather than on the fabric, at a spacing of the wheel’s circumference divided by the loop length in courses. That period is generally not a whole number of courses, so it beats against the feeder rotation and produces a slow drift rather than a stripe.

The diagnostic is arithmetic rather than visual. Measure the spacing, divide by the course density, and compare the result against the feeder count, against one, and against the feed wheel’s circumference in loops. Each fault has its own number, the numbers are not close, and a band whose spacing does not match any of them is a yarn fault rather than a machine one.

That is a more useful procedure than looking at the fabric, and it is available only because the period is set by the machine and is therefore known in advance. A knitted fabric’s faults are labelled by their spacing, and a woven cloth’s mostly are not, because a woven cloth has no equivalent rotation to stamp a period onto everything that goes wrong.

The exception on the woven side proves the same point from the other direction: the one woven fault that does carry a machine’s period is the reed mark, and it is diagnosed exactly this way, by counting threads rather than by looking.

What the remedies are, and why they are what they are

Every remedy in the trade is an attack on the correlation, and each corresponds to a term in the arithmetic.

Plating and package mixing. Feed each feeder from more than one package, or rotate packages between feeders. This makes each feeder’s yarn a mixture, so the difference between feeders falls. It is the direct attack and it is why creels are arranged to draw from many lots.

Alternate feeders from alternate lots. If two lots have to be used, alternating them halves the period — a difference every two courses rather than every ninety-six — and moves the band from the eye’s sensitive range down into texture.

Buy the yarn as one lot. The bluntest and most effective, and the reason knitters specify lot sizes that weavers do not need.

And run fewer feeders, which is never done, because the production loss is the whole economics of the machine.

The ordering is worth noticing: three of the four are about the packages, and none is about the spinning. The index of irregularity, which is the only measure of how well the yarn was spun, does not appear in any of them.

The measurement that does not predict the complaint

Put the two halves together and something uncomfortable follows for the way knitting yarn is bought.

A knitting yarn is specified and paid for on its count and its evenness, exactly as a weaving yarn is. The evenness figure is a coefficient of variation measured along a length of yarn from one package — which is a measurement of the random part, the part the knit averages as effectively as the weave does.

The complaint is about the correlated part: the difference from package to package, which that measurement is not taking and which no amount of care within a package affects.

One measured irregularity, read against five floors. The same measured coefficient of variation — 13%, the figure this collection took off a delivery note and used throughout its arithmetic of populations — divided by the floor each count sets. It is an ordinary ring-spun yarn at 20 tex, an unremarkable one at 40, and impossible at 40, where the index would be 1.91 and nothing is spun that badly. A coefficient of variation is not a quality until it is divided by its own floor, which is the whole reason the index exists: it is the only measure that compares a fine yarn with a coarse one. The bands are the reported ones for the three spinning systems and they are bands because they are measurements.
Fig. 5 The measurement that is made, read against its floors. It is a good measurement and it is the right one for the yarn: an index of 1.51 at 20 tex says what the spinning achieved. What it cannot say is whether the next package is the same, and for a knitter that is the whole question. Two yarns of identical index, from two lots, make a banded fabric; one yarn of a worse index from one lot does not.

That is not an argument against measuring evenness. It is an argument that a knitter needs a second number nobody quotes — a between-package variation — and that the absence of it is why the trade’s remedies are all procedural.

There is a neat way to see that the two are genuinely different quantities. Take a knitted fabric showing bands and measure the yarn unravelled from it: the coefficient of variation comes out at the yarn’s usual figure, because the measurement runs along the thread and crosses every feeder’s contribution in turn, averaging exactly what the fabric is failing to average. The instrument and the fabric are looking at the same yarn from perpendicular directions, and only one of them sees the fault.

The weft bar, which is the woven version

The argument has a smaller counterpart in weaving and it is worth setting beside this one, because the comparison locates precisely what is special about the knit.

A woven weft is also one thread, laid pick by pick from one package. So a woven cloth averages its warp over hundreds of ends and does not average its weft at all: a difference between weft packages shows as a bar across the piece, and the trade calls it exactly that.

The difference is the period. A weaver changes weft packages every few thousand picks, so a weft bar appears once, at the change, as an isolated defect that can be cut out. A knitter’s machine changes package every course, ninety-six times a revolution, so the difference appears as a repeating stripe through the whole roll and cannot be cut out anywhere.

One thread system and a rotation is what makes it periodic, and a woven cloth has one of those two.

Two more places the one-thread fact decides something

The banding is the visible consequence, and there are two others that follow from exactly the same premise and are usually filed elsewhere.

How much of a 20 tex yarn's unevenness survives being woven. Weaving averages, and the averaging is a square root. A patch of cloth 3 mm across contains 7.2 warp threads and as many picks, each contributing its own mass independently, so the patch's coefficient of variation is 3.53% against the yarn's 13.4% — a reduction of 3.8-fold. The rule at the top is the yarn's own figure. The curve steepens past the staple length, where a patch starts to contain independent samples along each thread as well as across them, and the second regime is the one a large area of cloth is judged in.
Fig. 6 The woven case, where the averaging works. Two more places the one-thread fact decides something: a knit cannot average across its width and a weave can, and a knit’s fault is periodic where a weave’s is scattered — one structural fact, two consequences.

Twist liveliness has nowhere to go. In a woven cloth a lively yarn is held by its crossings and almost nothing happens. In a knit the loop is free to rotate and the fabric leans — and because every loop in the fabric comes from the same thread with the same twist, the lean is in the same direction everywhere and adds up across the width instead of cancelling.

A fault has no neighbours to hide behind. A thin place bad enough to break stops the machine and drops a stitch, and a dropped stitch runs. In a woven cloth a missing end is a fault the length of the piece and the cloth still hangs together; in a knit a single failure propagates, because the thread that failed was holding the loops on either side of it.

Both are the same structural statement as the banding: a knit has one thread, so everything that is true of the thread is true everywhere at once, while a woven cloth has hundreds and can average, hide and localise.

What was counted, and how

The band spacing is asserted proportional to the feeder count — not merely rising with it — at twelve decimal places across a range from one feeder to a hundred and forty-four. The claim is about the form of the relation, because the practical conclusion is that halving the feeders halves the band.

The one-feeder case is computed rather than argued. It has to give a band of the fabric’s own course spacing, which is to say no band at all, and it is the control on the whole claim.

And the along-thread separation is computed to check that it is irrelevant. Two courses laid by the same feeder are about a kilometre apart along the yarn, against a staple of a few tens of millimetres, so nothing in the correlation being described can come from the yarn’s own structure. It has to come from the packages.

Where the model stops

The machine is idealised as a strict rotation and it is. But it is a helix rather than a set of rings: a circular machine lays courses continuously as the cylinder turns, so a course is a spiral and the “band” is a very shallow spiral too. Over a fabric width this is invisible; over a whole garment it means a band drifts, and the drift is the same beat arithmetic that decides what a periodic weft fault looks like in a woven cloth.

Nothing here says how big the difference between packages is. The arithmetic gives the period and the visibility; the amplitude is a yarn and dyeing question and is not in reach.

The eye’s sensitivity is quoted rather than derived, as it was in the woven case, and the range is wide.

And the argument is about weft knitting only. A warp knit has a thread per wale and a beam of hundreds of ends, so it averages packages the way a woven warp does — which is a prediction worth stating: warp-knitted fabrics should not show feeder banding, and they do not.

Where the ladder goes next

Sideways, into the other consequences of a knit being one thread. A knit has no hole to lose and a run travels because the loop is a single thread, and both are the same structural fact seen through a different question.

And back to the woven case, where the exception this essay is about also exists in a smaller form. A woven weft is also one thread, laid pick by pick from one package, so a weft-way bar is the woven equivalent of a feeder band — and its period is set by the package change rather than by a feeder count, which is why it appears as an isolated bar rather than as a repeating stripe.

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.

Coefficient of variationCourseLimit irregularityLoop lengthPopulationSpecificationStitch densityWale