Apparatus for simultaneously determining weights of composite sheets
A measurement apparatus includes a beta gauge for generating a first sensor response signal from a composite sheet including a sheet material having a coating thereon including a high-z material or the sheet material has particles including the high-z material embedded in the sheet material. A second sensor being an x-ray or an infrared (IR) sensor provides a second sensor response signal from the composite sheet. A computing device is coupled to receive the first and the second sensor response signal that includes a processor having an associated memory for implementing an algorithm that uses the first and the second sensor response signal to simultaneously compute two or more weight measures selected from (i) a weight per unit area of the high-z material, (ii) a weight per unit area of the sheet material, and (iii) a total weight per unit area of the composite sheet.
1. A method, comprising:
determining a first sensor response signal using a beta gauge from a composite sheet configured for a lithium ion battery (LiB) including a separator membrane comprising a sheet material comprising a polymer including a coating thereon comprising a high-z material or the sheet material has particles comprising the high-z material embedded in the sheet material;
determining a second sensor response signal from the composite sheet using a second sensor comprising an x-ray sensor or an infrared (IR) sensor, and
simultaneously computing from the first sensor response signal and the second sensor response signal two or more weight measures selected from (i) a weight per unit area of the high-z material, (ii) a weight per unit area of the sheet material, and (iii) a total weight per unit area of the composite sheet.
2. The method of claim 1 , wherein the simultaneously computing comprises utilizing a calibration obtained by multidimensional least-squares fitting.
3. The method of claim 2 , wherein the multidimensional least-squares fitting comprises partial least-squares regression (PLS).
4. The method of claim 1 , wherein the simultaneously computing comprises utilizing a calibration obtained by principal component analysis (PCA) or a shallow neural network.
5. The method of claim 1 , wherein the sheet material comprises a porous material and wherein the sheet material includes particles comprising the high-z material embedded therein.
6. The method of claim 1 , wherein the weight measures include the (i) weight per unit area of the high-z material, the (ii) weight per unit area of the sheet material, and the (iii) total weight per unit area of the composite sheet.
7. A measurement apparatus, comprising:
a beta gauge for generating a first sensor response signal from a composite sheet configured for a lithium ion battery (LiB) including a separator membrane comprising a sheet material comprising a polymer including a coating thereon containing a high-z material;
a second sensor comprising an infrared (IR) sensor including at least one IR detector for providing at least one IR response signal from the composite sheet, and
a computing device coupled to receive the first sensor response signal and the IR response signal including a processor having an associated memory for implementing an algorithm that uses the first sensor response signal and the IR response signal to simultaneously compute two or more weight measures comprising (i) a weight per unit area of the high-z material, (ii) a weight per unit area of the sheet material, and (iii) a total weight per unit area of the composite sheet.
8. The measurement apparatus of claim 7 , wherein the weight measures include the (i) weight per unit area of the high-z material, the (ii) weight per unit area of the sheet material, and the (iii) total weight per unit area of the composite sheet.
9. The measurement apparatus of claim 7 , wherein the sheet material includes particles comprising the high-z material embedded therein.
10. A measurement apparatus, comprising:
a beta gauge for generating a first sensor response signal from a composite sheet configured for a lithium ion battery (LiB) that includes a separator membrane comprising a sheet material that comprises a polymer including a coating thereon containing a high-z material or the sheet material having particles comprising the high-z material embedded in the sheet material;
a second sensor comprising an x-ray sensor or an infrared (IR) sensor for providing a second sensor response signal from the composite sheet, and
a computing device coupled to receive the first sensor response signal and the second sensor response signal including a processor having an associated memory for implementing an algorithm that uses the first sensor response signal and the second sensor response signal to simultaneously compute two or more weight measures comprising (i) a weight per unit area of the high-z material, (ii) a weight per unit area of the sheet material, and (iii) a total weight per unit area of the composite sheet.