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Hairiness to Singeing Intensity & Gas Demand Matcher

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See what it looks like

Gas demand tracks the hairiness you have to remove, not the hairiness you have. A clean yarn on a hot burner is scorched cloth, not a saving.

Hairiness Uster H
H
H
kJ/m² per H

Fit this to your own burner and cloth; it is not a universal constant.

Cloth & Burner Running
m/min
m
g/m²
no.
kJ/m³

Gas Flow

— m³/h

Total demand across all burners in the line

Singeing Duty

Hairiness to Remove
— H
Singeing Energy
— kJ/m²
Burner Heat Load
— kW
Gas Flow per Burner
— m³/h
Gas per kg Fabric
— m³/kg

Decision-support only. Flame height, cloth-to-burner distance and the singeing position all move the real coefficient — calibrate on a trial run before setting a production recipe.

Using this calculator

About the Hairiness to Singeing Intensity & Gas Demand Matcher

The formula

This is the expression the tool evaluates. Every term is named underneath, with the unit it must be supplied in.

Gas Flow
gasFlow = f( usterH, targetH, energyCoefficient, fabricSpeed, fabricWidth, fabricGsm, burnerCount, gasCalorific )

Each input feeds the expression evaluated in the browser; the symbol table below names every term and its unit.

Symbols used above
SymbolStands forUnit
usterHIncoming Hairiness IndexH
targetHTarget Hairiness IndexH
energyCoefficientMill Energy CoefficientkJ/m² per H
fabricSpeedFabric Speedm/min
fabricWidthFabric Widthm
fabricGsmFabric Areal Weightg/m²
burnerCountBurners in Lineno.
gasCalorificGas Calorific ValuekJ/m³
gasFlowGas Flowm³/h
hairinessDropHairiness to RemoveH
specificEnergySingeing EnergykJ/m²
heatLoadBurner Heat LoadkW
burnerFlowGas Flow per Burnerm³/h
gasPerKgGas per kg Fabricm³/kg

How the result is derived

Step by step, from the values you type to the figure on screen.

  1. The 8 inputs are read from the form on every keystroke: Incoming Hairiness Index, Target Hairiness Index, Mill Energy Coefficient, Fabric Speed, Fabric Width, Fabric Areal Weight, Burners in Line and Gas Calorific Value.
  2. Each value is checked against the accepted range in the input table below. A value outside its range stops the calculation rather than producing a misleading figure — the results blank out and a message appears.
  3. The validated values are substituted into the expression above, which resolves Gas Flow together with every supporting figure in one pass — no value is carried over from a previous entry.
  4. The supporting outputs — Hairiness to Remove, Singeing Energy, Burner Heat Load, Gas Flow per Burner and Gas per kg Fabric — come from the same pass, so they always describe the same case as the headline figure.
  5. Results are rounded for display only. The full-precision value is used throughout the chain, so reading a rounded intermediate figure back into the tool by hand can shift the last digit.

What each input means

Where to read each value on the floor, the unit it must be in, and the range the tool accepts.

InputUnitAccepted rangeDefaultWhat it means
Incoming Hairiness IndexH0.1 to 15 H5.5
Target Hairiness IndexH0.05 to 15 H1.8
Mill Energy CoefficientkJ/m² per H0.1 to 100 kJ/m² per H12Fit this to your own burner and cloth; it is not a universal constant.
Fabric Speedm/min5 to 250 m/min100
Fabric Widthm0.3 to 4 m1.8
Fabric Areal Weightg/m²20 to 800 g/m²150
Burners in Lineno.1 to 8 no.2
Gas Calorific ValuekJ/m³1000 to 60000 kJ/m³37000

What the tool returns

The headline figure and every supporting value it is built from.

OutputUnitWhat it tells you
Gas Flow (headline result)m³/hTotal demand across all burners in the line
Hairiness to RemoveH
Singeing EnergykJ/m²
Burner Heat LoadkW
Gas Flow per Burnerm³/h
Gas per kg Fabricm³/kg

Worked example

Given

Incoming Hairiness Index
5.5 H
Target Hairiness Index
1.8 H
Mill Energy Coefficient
12 kJ/m² per H
Fabric Speed
100 m/min
Fabric Width
1.8 m
Fabric Areal Weight
150 g/m²
Burners in Line
2 no.
Gas Calorific Value
37000 kJ/m³

The tool loads with this case already solved — the Gas Flow shown above is its answer. Change one value and the difference from this baseline is the sensitivity of the result to that variable.

How to use it

  1. Work through the input groups in order — Hairiness and Cloth & Burner. The defaults are a realistic case, so you can change one value at a time and watch what moves.
  2. There is no calculate button. Every figure recalculates as you type or drag, which is what makes this usable for a what-if sweep rather than a single answer.
  3. Read Gas Flow in the dark results panel — that is the headline figure, expressed in m³/h.
  4. Check the supporting rows underneath (Hairiness to Remove, Singeing Energy, Burner Heat Load, Gas Flow per Burner and Gas per kg Fabric) before acting on the headline — they are where an implausible input usually shows itself first.
  5. Reset to defaults returns every field to the reference case, which is the quickest way to check whether a surprising result came from the tool or from an input you had changed earlier.

Where this is used

  • Process planning — establishing Gas Flow before a trial is booked, so machine time and material in Advanced Spinning, Texturizing & Twisting are committed against a calculated figure rather than an estimate.
  • Costing and quotation — Gas Flow is an input to the cost sheet, and quoting from a worked number rather than a remembered one is what keeps a margin intact.
  • Troubleshooting — when the floor result drifts from plan, entering the measured values (starting with Incoming Hairiness Index) shows how much of the gap in Gas Flow each variable explains.
  • Teaching and study — the accepted ranges bracket normal Advanced Spinning, Texturizing & Twisting practice, so moving one variable at a time shows the shape of the relationship rather than a single answer.

Assumptions and limits

  • Decision-support only. Flame height, cloth-to-burner distance and the singeing position all move the real coefficient — calibrate on a trial run before setting a production recipe.
  • Every input is bounded to the range normal practice occupies (Incoming Hairiness Index 0.1 to 15 H, Target Hairiness Index 0.05 to 15 H and Mill Energy Coefficient 0.1 to 100 kJ/m² per H, and so on for the rest). Those bounds are guard rails against typing errors, not a claim that the formula fails one unit outside them.
  • The calculation is deterministic: the same inputs always give the same result. It carries no allowance for machine condition, operator skill, ambient conditions or lot-to-lot material variation unless an input above explicitly represents one.
  • Nothing is sent anywhere. The maths runs in your browser, so the numbers you type never leave the page.

Questions people ask

What do I need to know before using the Hairiness to Singeing Intensity & Gas Demand Matcher?

Have these to hand: Incoming Hairiness Index, Target Hairiness Index, Mill Energy Coefficient, Fabric Speed, Fabric Width, Fabric Areal Weight, Burners in Line and Gas Calorific Value. With those entered, the tool returns Gas Flow immediately.

What exactly is Gas Flow?

Total demand across all burners in the line. It is reported in m³/h. It is derived from Incoming Hairiness Index, Target Hairiness Index, Mill Energy Coefficient, Fabric Speed, Fabric Width, Fabric Areal Weight, Burners in Line and Gas Calorific Value, and is the figure the rest of the Advanced Spinning, Texturizing & Twisting calculation is built around.

Which units does this calculator expect?

Enter Incoming Hairiness Index in H, Target Hairiness Index in H, Mill Energy Coefficient in kJ/m² per H, Fabric Speed in m/min, Fabric Width in m, Fabric Areal Weight in g/m², Burners in Line in no. and Gas Calorific Value in kJ/m³. Mixing unit systems is the most common cause of a result that looks an order of magnitude wrong — convert before typing, not after reading.

What are the other figures under the main result?

They are the intermediate quantities the calculation passes through: Hairiness to Remove, Singeing Energy, Burner Heat Load, Gas Flow per Burner and Gas per kg Fabric. They are shown because a headline number nobody can trace is a number nobody trusts — checking them against your own expectation is the fastest way to confirm the inputs were read as you intended.

Can I rely on this for a production decision?

Decision-support only. Flame height, cloth-to-burner distance and the singeing position all move the real coefficient — calibrate on a trial run before setting a production recipe. Treat the output as an engineering estimate that narrows the trial window, not as a substitute for the trial.

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