Loom Sett Calculator
A loom sett calculator is a tool used in weaving to determine the sett, or the number of warp threads per inch (wpi) or centimeter, on a loom. The sett is crucial in achieving the desired fabric characteristics, such as density and drape. The formula for calculating the sett is:
Sett=Number of Warp Ends/ Width of Warp in Inches or Centimeters
This formula helps weavers determine how many warp threads should be placed per inch or centimeter on the loom. The number of warp ends refers to the total number of individual threads in the warp, and the width of the warp is the total width of the woven fabric.
Basic example of a sett chart for weaving
| Yarn Type | Yarn Count (Ne) | Recommended Sett (EPI) | Weave Structure |
|---|---|---|---|
| Cotton 10/2 | 10 | 24-30 | Plain Weave |
| Cotton 8/2 | 8 | 18-24 | Twill Weave |
| Linen 16/2 | 16 | 20-26 | Plain Weave |
| Wool 2/12 | 2/12 | 12-18 | Twill Weave |
| Silk 20/2 | 20 | 20-28 | Satin Weave |
| Rayon 30/2 | 30 | 24-32 | Plain Weave |
- Yarn Type: The type of fiber used.
- Yarn Count (Ne): A measurement of the fineness of the yarn.
- Recommended Sett (EPI): Ends per inch, the number of warp threads per inch.
- Weave Structure: The pattern in which the yarns are interlaced.
Keep in mind that the sett can vary based on factors such as yarn thickness, desired fabric density, and the weave structure being used. It’s often a good idea to consult weaving patterns, books, or experienced weavers for guidance on selecting the appropriate sett for a specific project.
Certainly, here’s a simple formula for calculating the sett (number of warp threads per inch) using the number of warp threads, warp thread thickness, weft thread thickness, and loom width, all in inches.
It is important to note that this is just a basic formula for calculating sett. There are other factors to consider, such as the type of weave you are using and the desired drape of your fabric. It is always a good idea to experiment with different sett settings to see what works best for your project.