BACKGROUND OF THE INVENTION
[0001] This invention relates to simulating the appearance properties of a warp knit fabric
based on properties of the yarn in the fabric. The simulation is comparable to the
actual fabric knit from yarn of those properties.
[0002] Both yarn manufacturers and fabric producers are faced with the problem of variations
in yarn properties (e.g. denier, shrinkage, cross section, dyeability) and the effect
of these variations on fabrics. In the past the effects of these variations in the
actual fabric could only be determined by actually making test fabrics from the yarns
which is expensive and time consuming.
SUMMARY OF THE INVENTION
[0003] The present invention provides a method for simulating actual fabric appearance by
just knowing the constituent yarn properties without having to make the actual fabric.
The method comprises the steps of obtaining a data set of yarn physical properties
for each yarn in the warp knit fabric then programming a digital computer to average
the yarn physical properties for each yarn in the fabric according to the stitch pattern
of the fabric to produce a wale average property for each wale in the fabric. The
pixel density for the graphics display equipment associated with the computer is then
calculated from the average wale properties and displayed to represent each wale in
the fabric.
BRIEF DESCRIPTION OF THE DRAWINGS
[0004]
Fig. 1 is a schematic diagram of the front and back bar of a warp knit fabric of the
type simulated by this invention.
Fig. 2 is a drawing of a graphics display of a warp knit fabric simulated according
to the invention.
Fig. 3 is an enlarged representation of a portion of a warp knit fabric simulated
according to the invention.
Figs. 4-6 represent flow charts of a program to operate a computer for simulating
a warp knit fabric according to the invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
[0005] A warp-knit textile fabric as intended herein is best defined in terms of a stitch
pattern as shown in Fig. 1. While many other patterns constituting warp-knitting are
possible the one shown represents a jersey tricot warp knit construction. Knitting
needle positions for each of five successive wales and courses for the front and back
bars are represented in Fig. 1. The horizontal rows of dots represent courses 1-5
while the wales of the fabric are represented by vertical rows of dots A - G. More
particularly, referring to Fig. 1 the stitch construction of the fabric is notationally
set out and shows that the threads of the front bar indicated as 21-25 have back and
forth movement to non-adjacent needles in successive courses and the threads of the
back bar, indicated as 31-35 have similar movements.
[0006] As indicated above this technology is a tool to investigate the effects of yarn properties
on the visual appearance of fabrics. The technology uses a Hewlett Packard HP9845
model 270 to print patterns which model the appearance of jersey warp knit fabrics.
[0007] Direct printing of simulations requires high resolution graphics and printing capability.
The Hewlett Packard HP9845 desktop computer meets both requirements with individual
pixel control of graphics on the CRT and printer. Resolution of the HP9845 printer
is 77 pixels/inch in both X and Y directions. Initial experiments with various patterns
showed that printing alternate rows provided sufficient resolution (38.5 rows/inch
vs. 50 wales/inch in the fabric) to represent each wale in a jersey warp knit fabric.
Printing alternate rows gives the printouts a subtle linearity resembling the directionality
of wales in a warp knit fabric.
[0008] The first step in the method is obtaining a data set consisting of a yarn property
such as denier, modification ratio, yarn shrinkage, or dyeability for each yarn in
the fabric. The properties are then averaged according to the stitch pattern in the
fabric to produce a wale average property for each wale in the fabric. The simulation
program then produces a printout in which the print density (fraction of pixels printed)
in each row is given by the equation:

wherein
AD is the arbitrarily selected average print density desired for the simulation (usually
.5)
K is the contrast factor and

where v is the computed wale average property value for the wale being printed and
V is the arithmetic mean of all the values and is calculated as follows:

wherein
v is the data expressed as individual values and
N is the total number of values.
[0009] Determining K (the contrast factor) for a given property requires comparison of a
banded implant fabric with simulations printed at a series of K's. The K that results
in the best visual match is the correct one to use.
Computer wale average property (v)
[0010] The precise location of each yarn end: for example, 21-25 in Fig. 1, in the fabric
is essential for calculating wale average property (v). Experience has shown that
front bar yarns are of more importance than back bar yarns in fabric uniformity because
the back bar yarns in warp knit constructions are "sandwiched" in the fabric interior.
When denier is the property being simulated, it has been found that front bar yarns
make a 75% contribution to uniformity and back bar yarns a 25% contribution. For other
properties being simulated it has been found that front bar yarns make essentially
a 100% contribution to uniformity.
[0011] Referring to Fig. 1 and considering wale C in both the front and back bar it can
be seen that yarn 23 appears in three odd numbered courses, e.g. 1, 3 and 5, and yarn
No. -21 appears in the even numbered courses in the front bar and for the same wale
in the back bar yarn 32 appears in the odd courses while yarn 33 appears in the even
courses.
[0012] The weighted wale average property (in this case, denier) for wale C becomes:

where
v is the individual property value of the yarn.
Description of Flow Charts
[0013] The numbers preceding each paragraph refer to the flow charts shown in Fig. 4-6.
[0014] Step 100 - Running the startup program initializes the computer memory for the following
steps.
[0015] Step 200 - Provision is made for entering yarn property data from the keyboard or
loading data previously stored on flexible disc data files. More than 1 column of
data may be entered.
[0016] Step 300 - A retrieval program is run to load the previously stored pixel rows into
the computer memory. Pixel densities from 5% to 95% of the pixels in a graphics display
row are included in the data set in steps of 1%. There are 5 rows of pseudorandomly
arranged pixels at each density.
[0017] Step 400 - Yarn property data are averaged according to the description on page 4
to provide wale average property data. The transform program allows keeping both the
original yarn data and the wale average data in separate columns in a data matrix.
[0018] Step 500 - The simulation program is loaded into memory and run.
[0019] Step 501 - The operator selects the desired data to simulate (more than 1 set of
data can be held in memory).
[0020] Step 502 - The computer calculates the average property in the selected data for
further calculations (equation on page 3, and fig. 5).
[0021] Step 503 - The operator selects the average print density desired for the simulation.
Usually 0.5 is the starting level, and subsequent simulations may be run at higher
or lower levels to produce darker or lighter simulations. This step does not affect
the printout, unless extreme values are chosen (i.e., near the ends of the allowable
scale of 0.05 to 0.95 print density). Refer to "AD" in equation (1), page 3.
[0022] Step 504 - The computer calculates the print density for the first wale using equation
(1), page 3.
[0023] Step 505 - The pixel row data are selected corresponding to the calculated print
density.
[0024] Step 506 - The pixel row is re-randomized. This step is done to extraneous pattern
formation in the case that the same pixel density is selected more than 5 times (the
number of previously generated pixel rows at each density held in memory) in succession.
[0025] Step 507 - The pixel row is displayed on the graphics screen of the computer.
[0026] Step 508 - The pixel row displayed on the screen is transferred to the hard copy
printer along with a blank pixel row.
[0027] Step 509 - The computer checks for additional yarn data, and if available, continues
the process from step 504. The program terminates when all the selected data have
been printed and the operator signifies that no more simulations are to be run.
EXAMPLE
[0028] In an example using nominal 40 denier yarn in the jersey tricot warp knit construction
represented in Fig. 1 wale average deniers are calculated according to equation 2
for each wale in the fabric and the pixel density is calculated according to equation
1. The pixel density is displayed in a series of rows to represent each wale in the
fabric as shown in Fig. 2 wherein the simulation of the fabric displaying streaks
at locations 40 and 41 closely resembles a fabric knit of the actual yarns whose properties
were used for the simulation. The simulation was prepared on a Hewlett Packard HP9845
having a thermal printer programmed according to the flow charts shown in Fig. 4.
[0029] An enlarged portion of Fig. 2 is shown in Fig. 3 wherein alternate rows are printed
to give subtle linearity and one pixel is represented by a square as designated at
50.
1. A method of displaying appearance properties of a warp knit fabric having a stitch
pattern with courses and wales based on average yarn physical properties comprising
the steps of:
obtaining data set of yarn physical properties for each yarn in the warp knit fabric:
averaging said yarn physical properties according to said stitch pattern to produce
a wale average property for each wale in said fabric;
calculating print density from said wale average properties: and
displaying said print density as a display element to represent each wale in said
warp knit fabric.
2. A method of displaying appearance properties of a warp knit fabric having a stitch
pattern of wales based on average yarn physical properties comprising the steps of:
obtaining data set of yarn physical properties for each yarn in said fabric:
programming a digital computer to produce a wale average property for each wale in
said fabric, said computer having graphics capability with individual pixel control
of the graphics to average said yarn physical properties according to said stitch
pattern;
calculating pixel density from said wale average property by means of said digital
computer; and
displaying said pixel density as a series of rows of pixels, wherein the number of
pixels in each row is proportional to said wale average property for each wale in
said fabric, to represent each wale in said warp knit fabric.