Worked Example: Yarn Denier ↔ Tex ↔ Cotton Ne Worked Example
Convert between Denier, Tex, dtex, Metric Count (Nm), and English Cotton Count (Ne).
- Enter the input measurement, system configuration, or astronomical parameter.
- Apply the standard conversion or analytical equation: Tex = Denier / 9; dtex = Denier / 0.9; EnglishCotton_Ne = 5314.9 / Denier; Metric_Nm = 9000 / Denier.
- Inspect the primary metric, secondary equivalents, and 3 real-time SVG graphs.
Result: Computes Yarn Denier ↔ Tex ↔ Cotton Ne via Tex = Denier / 9; dtex = Denier / 0.9; EnglishCotton_Ne = 5314.9 / Denier; Metric_Nm = 9000 / Denier.
Unit Conversions · Materials & Industrial Conversions
Textile Yarn Count Converter (Denier ↔ Tex ↔ Decitex dtex ↔ English Cotton Count Ne): inputs, method, and how to read the result
Convert between Denier, Tex, dtex, Metric Count (Nm), and English Cotton Count (Ne).
Choose inputs for the case you are checking
The defaults are illustrative. Replace them with values for your case and keep the units shown beside each field.
- Yarn Linear Density Denier: Yarn or fiber linear mass density in Denier (grams per 9,000 meters; e.g., 70D, 150D, 420D, 1000D Cordura).
What the calculation includes
With the default values shown, Linear Mass Density in Tex (g/1,000m) is 16.667 Tex. The calculation follows Yarn Denier ↔ Tex ↔ Cotton Ne Formula; the formula and variable definitions above show how the inputs combine.
One-input check: With the other defaults held constant, changing Yarn Linear Density Denier from 150 Denier to 165 Denier changes Linear Mass Density in Tex (g/1,000m) from 16.667 Tex to 18.333 Tex. This is a comparison inside the calculator's stated model, not a prediction.
Where to use caution
- Uses official NIST Special Publication 811, IEEE/RFC systems engineering, APA psychometric, and USNO astronomical formulas.
- Empirical metallurgy and calendar conversions represent standard reference-condition approximations.
Scope: Global NIST, IEEE, APA & Astronomical Standard Check the assumptions and limitations against your situation before relying on the estimate.
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