THERMALLY STRENGTHENED GLASS SHEETS HAVING CHARACTERISTIC MEMBRANE STRESS HOMOGENEITY
20190039936 ยท 2019-02-07
Inventors
- Jeffrey John Domey (Elmira, NY)
- Dragan Pikula (Horseheads, NY)
- Robert Wendell Sharps (Corning, NY, US)
Cpc classification
C03B27/016
CHEMISTRY; METALLURGY
C03B27/0413
CHEMISTRY; METALLURGY
International classification
Abstract
A glass sheet thermally strengthened such that at the first major surface is under compressive stress; the sheet having an a characteristic 2D autocorrelation matrix c(x,y) given by c(x,y)=F.sup.1(F(g).Math.F(g)) where F is a 2D Fourier transform and represents a complex conjugate operation and g is a high pass filtered data array given by g(x,y)=F.sup.1(F(f(1F(h)) where h is a spatial 2D low pass filter array and f is a square data array of Shear 0 and Shear 45 data, taken over an area away from any birefringence edge effects on the sheet, wherein an autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 5 mm.
Claims
1. A strengthened glass sheet, the sheet comprising first major surface; a second major surface opposite the first major surface and separated from the first major surface by a thickness t when expressed in mm; a length of l when expressed in mm of at least 10; a width of w when expressed in mm of at least 10; an interior region located between the first and second major surfaces; and an outer edge surface extending between and surrounding the first and second major surfaces such that the outer edge surface defines a perimeter of the sheet; wherein the sheet is thermally strengthened such that at the first major surface is under compressive stress; the sheet having an a characteristic 2D autocorrelation matrix c(x,y) given by
c(x,y)=F.sup.1(F(g).Math.{circumflex over (F)}(g)) where F is a 2D Fourier transform and represents the complex conjugate operation and g is a high pass filtered data array given by
g(x,y)=F.sup.1(F(f)(1F(h))) where h is a spatial 2D low pass filter array and f is a square data array of Shear 0 and Shear 45 data, taken over an area away from any birefringence edge effects on the sheet, wherein an autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 5 mm.
2. The sheet according to claim 1 wherein the autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 4 mm.
3. The sheet according to claim 1 wherein the autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 3 mm.
4. The strengthened glass sheet according to claim 1, wherein the first major surface of the sheet has a roughness, measured over an area on the first major surface of 10 m10 m, is in the range of from 0.05 nm to 0.5 nm Ra.
5. The strengthened glass sheet according to claim 1, wherein the first major surface of the sheet has a roughness, measured over an area on the first major surface of 10 m10 m, is in the range of from 0.05 nm to 0.3 nm Ra.
6. The strengthened glass sheet according to claim 1, wherein a normalized standard deviation S.sub.n
7. A strengthened glass sheet according to claim 6, wherein said normalized standard deviation S.sub.n is less than or equal to 0.002.
8. A strengthened glass sheet according to claim 6, wherein said normalized standard deviation S.sub.n is less than or equal to 0.001.
9. A strengthened glass sheet, the sheet comprising first major surface; a second major surface opposite the first major surface and separated from the first major surface by a thickness t when expressed in mm; a length of l when expressed in mm of at least 10; a width of w when expressed in mm of at least 10; an interior region located between the first and second major surfaces; and an outer edge surface extending between and surrounding the first and second major surfaces such that the outer edge surface defines a perimeter of the sheet; wherein the sheet is thermally strengthened such that at the first major surface is under compressive stress; wherein a normalized standard deviation S.sub.n
10. A strengthened glass sheet according to claim 9, wherein said normalized standard deviation S.sub.n is less than or equal to 0.002.
11. A strengthened glass sheet according to claim 9, wherein said normalized standard deviation S.sub.n is less than or equal to 0.001.
12. A strengthened glass sheet according to claim 9, wherein the sheet has a characteristic 2D autocorrelation matrix c(x,y) given by
c(x,y)=F.sup.1(F(g).Math.{circumflex over (F)}(g)) where F is a 2D Fourier transform and represents the complex conjugate operation and g is a high pass filtered data array given by
g(x,y)=F.sup.1(F(f)(1F(h))) where h is a spatial 2D low pass filter array andfis a square data array of Shear 0 and Shear 45 data, taken over an area away from any birefringence edge effects on the sheet, wherein an autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 5 mm.
13. The sheet according to claim 12 wherein the autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 4 mm.
14. The sheet according to claim 12 wherein the autocorrelation peak maximum width of the matrix c(x,y) at 40% of peak height, for the c(x,y) matrices from both the Shear 0 and Shear 45 data, is between 1 and 3 mm.
15. The strengthened glass sheet according to claim 9, wherein the first major surface of the sheet has a roughness, measured over an area on the first major surface of 10 m10 m, is in the range of from 0.05 nm to 0.5 nm Ra
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0013]
[0014]
[0015]
[0016]
[0017]
[0018]
[0019]
[0020]
DETAILED DESCRIPTION
[0021]
[0022] The sheet 10 can be stationary or in motion between the sinks or sources Si/So. The sheet 10 can be smaller (in one dimension or both) than the extent of the sinks or sources Si/So or larger (preferably in one dimension only, in which case continuous processing in the larger direction is preferred). The sheet 10 can be multiple sheets heated or cooled together at the same time. The gas in the first and second gaps 20a and 20b can be the same or different, and both or either can be gas mixtures or essentially pure gases. Generally, gases or gas mixtures with relatively higher thermal conductivity are preferred. Use of gas bearings allows robustly maintaining the desired size of the gaps 20a and 20b, which enables relatively homogeneous heat transfer rates over all areas of the gaps 20, in comparison to cooling or heating by direct contact with liquids or with solids, and in comparison to cooling by forced air convection.
[0023] As represented in the diagrammatic cross section of
[0024]
[0025] Gas bearings, as alternative embodiments, may take either of the forms shown in
[0026] Because of the non-contact treatment and handling possible in the thermal strengthening apparatus of
[0027] Achieving uniformity of cooling effects in the cooling zone 40 over the area of the sheet 10 requires maintaining the desired size of the gaps 20. It has also been found that maintaining the homogeneity of the gas in the gaps 20a, 20b within the cooling zone is important. If different gases are used in the heat source So gaps and the heat sink Si gaps, gas can be drawn away by a suitable suction or vacuum means at a position between the sources So and the sinks Si, as indicated by the arrows A in
[0028] For good homogeneity of heat transfer rates during heating and resulting homogeneous temperature profiles and final properties of sheet 10, it is also desirable to provide a heat source So providing for a non-uniform distribution of heating energy.
[0029] With good control of the thermal profile of the sheet just before cooling, such as may be achieved by the heat source So of
[0030] For example, an sheet processed according to this disclosure in combination with the disclosure of the '638 patent can achieve a desirable low deviation of membrane stress, such that a normalized standard deviation S.sub.n
of a sample of membrane stress measurement samples taken according to ASTM F218 in transmission through the first major surface 12 of the sheet 10 in a series distributed in the x and y directions for number of samples N=100, is low (when edge effects of measuring too closei.e., within 2.5 times the thickness of the sheet to the outer edge surface 16 are not included)as low as 0.02, 0.015, 0.01, 0.005, 0.002, 0.001 or even lower.
Membrane Stress Cross-Correlation Analysis
[0031] Measurement
[0032] A full-field polarimeter is used to make optical birefringence measurements, through the thickness of the sample, of retardation magnitude and slow-axis azimuth. The optical axis of the polarimeter is aligned to the desired coordinate axis of the sample. Multiple point measurements are made on an equal spaced XY grid, so that a 2D map of birefringence is generated for the sample. Grid spacing is sufficiently small so that the number of steps in X and Y is many, for example, at least 100 in both X and Y (after data from within 2.5 times sheet thickness of the edge is excluded) is generally adequate for the test: more is desirable to improve resolution but generally will not significantly impact results. The grid size is also selected to be large enough spatially to capture any spatially periodic features in the data.
[0033] Data Processing
[0034] First, the optical birefringence values of magnitude and azimuth are converted into the two shear stress components of Shear 0 (S0) and Shear 45 (S45) by the equations m.Math.cos(2az) and m.Math.sin(2az), respectively, as understood by those of skill in the art of stress calculation through birefringence measurement. S0 and S45 may be calculated directly by the software of an instrument which also first measures the multiple birefringence values in X and Y, such as a grey-field polarimeter (GFP) from Stress Photonics USA. The results of this operation are two 2D arrays, one of S0 values and the other of S45 values. S0 and S45 typically both have units of nanometers, and both can be treated as scalar values for the purposes of direct mathematical arithmetic.
[0035] As understood by those of skill in the art, if desired for purposes of visualization or other analysis, the S0 and S45 values may be converted into the in-plane components of principal stress, S1 and S2. The results of this operation are two 2D arrays, one of S1 values and the other of S2 values.
[0036] Data Analysis: 2D Autocorrelation Lengths
[0037] For input into this analysis, the two 2D arrays of S0 and S45 are used. For each of the 2D arrays separately, we: (1) Extract a sub-array dataset in which the number of columns and rows are equal (i.e., the sub-array is square). The extraction area should be away from the sample edge (by at 2.5 times the sheet thickness, preferably 3 times according to one embodiment, 4 times according to another) in order to avoid edge effects in the measured data. As mentioned, the sub-array dataset must have a minimum number of rows and columns, at least 100 each, so that the subsequent mathematical operations can be robustly applied. (2) Filter the data through a 2D high-pass spatial filtering process to remove spatial frequencies less than about one cycle per array width, effectively removing spatial variations such as slope or tilt of the data. This may be performed in two steps, namely, (a) apply a 2D low-pass spatial filter to the sub-array dataset to remove the high frequency components above a desired cutoff frequency, and (b) subtract from the unfiltered sub-array dataset the filtered sub-array dataset, to generate the high-pass filtered sub-array dataset. (4) Perform a 2D auto-correlation on the high-pass filtered sub-array dataset.
[0038] To describe these steps formulaically, we can represent our starting 2D array (for both S0 and S445 date sets) by f(x,y), our high pass array by g(x,y), our spatial 2D low pass filter array by h(x,y), and is our autocorrelation array by c(x,y). The filter h(x,y) is defined as
within a square 1/2W.sub.fx,y1/2W.sub.f and zero outside the square, where W.sub.f is the filter width. Filter components are normalized to sum to 1 so that the filter produced no gain. We use F( ) and F.sup.1( ) to denote 2D Fourier and 2D inverse Fourier transforms, respectively. Also, for this discussion, .Math. will represent array multiplication and will represent the complex conjugate operation. Then g(x,y) is given by
g(x,y)=F.sup.1(F(f)(1F(h))) (3)
and the 2D auto correlation matrix is given by
c(x,y)=F.sup.1(F(g).Math.{circumflex over (F)}(g)) (4)
The resulting 2D autocorrelation sub-array dataset c(x,y) will contain a central peak with relative amplitude of 1. The cross-section of this peak will not generally be circular, but rather elliptical in shape with minimum and maximum diameters in units of distance. At a desired relative amplitude level (height) (e.g., at 0.4), the minimum and maximum diameters of the central peak (in whatever direction they lie) can be extracted to record as autocorrelation lengths.
[0039]
[0040] Comparison of multiple sheets of the present disclosure with multiple samples of sheets produced using conventional forced-air convention cooling has shown that autocorrelation peak maximum width at 40% of peak height (at height of 0.4), for both the Shear 0 and Shear 45 data sets, is between 1 and 5 mm, indicating relatively weak periodic non-uniformity in the birefringence and membrane stress of the sheet. Sheets produced using conventional forced-air convention cooling have significantly larger autocorrelation widths at height of 0.4, indicating stronger periodic non-homogeneity in the retardance and membrane stress of the sheet.
[0041] A variety of modifications that do not depart from the scope and spirit of the invention will be evident to persons having ordinary skill in the art from the foregoing disclosure.