A Method of Using Euclidean Distance to Determine the Fiber Distribution Uniformity of Reconstituted Tobacco Leaf Slurry by Papermaking Process
A technology for reconstituting tobacco leaves and Euclidean distance, which is applied in the directions of analyzing materials, measuring devices, instruments, etc., to achieve the effects of improving product quality, product qualification rate, and production technology level
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0099] A pulping batch of a reconstituted tobacco product of a certain brand in a reconstituted tobacco factory was divided into 3 time periods at equal intervals, and 5 sampling time points were formed in chronological order.
[0100] Table 1-1 Fiber morphology of samples at 5 sampling points
[0101]
[0102]
[0103] Table 1-2 Calculation of the Euclidean distance d of 6 test samples at a certain time point i ijk
[0104]
[0105]
[0106] Table 1-3 calculates the Euclidean distance d of a pulping batch test sample iljk
[0107]
[0108]
[0109] Continuation of Table 1-3(2)
[0110]
[0111]
[0112] Continuation of Table 1-3(3)
[0113]
[0114]
[0115] Continuation of Table 1-3(4)
[0116]
[0117]
[0118] Continuation of Table 1-3(5)
[0119]
[0120]
[0121] It can be seen from Table 1-2 that the distance d in each time point of the pulping batch ijk (i=1,2,…,T+2, j=1,2,…,6, k=1,2,…,6, j≥k) has a value >0.2449, when d...
Embodiment 2
[0124] A pulping batch of a reconstituted tobacco product of a certain brand in a reconstituted tobacco factory was divided into 3 time periods at equal intervals, and 5 sampling time points were formed in chronological order.
[0125] Table 2-1 Fiber morphology of samples at 5 sampling points
[0126]
[0127]
[0128] Table 2-2 Calculation of the Euclidean distance d of 6 test samples at a certain time point i ijk
[0129]
[0130]
[0131] Table 2-3 calculates the Euclidean distance d of a pulping batch test sample iljk
[0132]
[0133]
[0134] Continuation of Table 2-3(2)
[0135]
[0136]
[0137] Continuation of Table 2-3(3)
[0138]
[0139]
[0140] Continuation of Table 2-3(4)
[0141]
[0142]
[0143] Continuation of Table 2-3(5)
[0144]
[0145]
[0146] It can be seen from Table 2-2 that the distance d in each time point of the pulping batch ijk (i=1,2,…,T+2, j=1,2,…,6, k=1,2,…,6, j≥k) are all ≤0.2449, detect eac...
Embodiment 3
[0149] A pulping batch of a reconstituted tobacco product of a certain brand in a reconstituted tobacco factory was divided into 3 time periods at equal intervals, and 5 sampling time points were formed in chronological order.
[0150] Table 3-1 Fiber morphology of samples at 5 sampling points
[0151]
[0152]
[0153] Table 3-2 Calculation of the Euclidean distance d of 6 test samples at a certain time point i ijk
[0154]
[0155]
[0156] Table 3-3 calculates the Euclidean distance d of a pulping batch test sample iljk
[0157]
[0158]
[0159] Continued Table 3-3(2)
[0160]
[0161]
[0162] Continuation of Table 3-3(3)
[0163]
[0164]
[0165] Continuation of Table 3-3(4)
[0166]
[0167]
[0168] Continued Table 3-3(5)
[0169]
[0170]
[0171] It can be seen from Table 3-2 that the distance d within each time point of the pulping batch ijk (i=1,2,…,T+2, j=1,2,…,6, k=1,2,…,6, j≥k) are all ≤0.2449, detect each time poi...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More