Conversion cubic points to minim UK
Conversion formula of pts3 to min
Here are the various method()s and formula(s) to calculate or make the conversion of pts3 in min. Either you prefer to make multiplication or division, you will find the right mathematical procedures and examples.
Formulas explanation
By multiplication (x)
Number of cubic points multiply(x) by 0.00071257955240913, equal(=): Number of minim UK
By division (/)
Number of cubic points divided(/) by 1403.35208, equal(=): Number of minim UK
Example of cubic points in minim UK
By multiplication
13 pts3(s) * 0.00071257955240913 = 0.0092635341813187 min(s)
By division
13 pts3(s) / 1403.35208 = 0.0092635341813187 min(s)
Rounded conversion
Please note that the results given in this calculator are rounded to the ten thousandth unit nearby, so in other words to 4 decimals, or 4 decimal places.
Volume unit
The volume is used in several situations in order to obtain the quantity of space occupied by a solid, or the amount of material (liquid, gas or solid) that it may contain. The prism (solid) used in the calculation of a general volume is the cube because, as each of its facets is composed of squares, the latter has a regular formula. The volume is therefore represented by the following global formula: side (ex: length) multiplied by any other side (ex: width) and then multiplied by another side (ex: height). It is this same amount of side that leads to the representation of power or exponent 3 or 3.
Other units in cubic points
Imperial system
The unit cubic points is an Anglo-Saxon measure from England but widely used in different fields and countries around the world. Fractions commonly used for calculating imperial units usually have an even number as the denominator. Here are the most used fractions: 1/2, 1/4, 1/8, 1/16, 1/32.
Table or conversion table pts3 to min
Here you will get the results of conversion of the first 100 cubic pointss to minim UKs
In parentheses () web placed the number of minim UKs rounded to unit.
| cubic points(s) | minim UK(s) |
|---|---|
| 1 pts3(s) | 0.00071257955240913 min(s) (0) |
| 2 pts3(s) | 0.0014251591048183 min(s) (0) |
| 3 pts3(s) | 0.0021377386572274 min(s) (0) |
| 4 pts3(s) | 0.0028503182096365 min(s) (0) |
| 5 pts3(s) | 0.0035628977620457 min(s) (0) |
| 6 pts3(s) | 0.0042754773144548 min(s) (0) |
| 7 pts3(s) | 0.0049880568668639 min(s) (0) |
| 8 pts3(s) | 0.0057006364192731 min(s) (0) |
| 9 pts3(s) | 0.0064132159716822 min(s) (0) |
| 10 pts3(s) | 0.0071257955240913 min(s) (0) |
| 11 pts3(s) | 0.0078383750765005 min(s) (0) |
| 12 pts3(s) | 0.0085509546289096 min(s) (0) |
| 13 pts3(s) | 0.0092635341813187 min(s) (0) |
| 14 pts3(s) | 0.0099761137337278 min(s) (0) |
| 15 pts3(s) | 0.010688693286137 min(s) (0) |
| 16 pts3(s) | 0.011401272838546 min(s) (0) |
| 17 pts3(s) | 0.012113852390955 min(s) (0) |
| 18 pts3(s) | 0.012826431943364 min(s) (0) |
| 19 pts3(s) | 0.013539011495774 min(s) (0) |
| 20 pts3(s) | 0.014251591048183 min(s) (0) |
| 21 pts3(s) | 0.014964170600592 min(s) (0) |
| 22 pts3(s) | 0.015676750153001 min(s) (0) |
| 23 pts3(s) | 0.01638932970541 min(s) (0) |
| 24 pts3(s) | 0.017101909257819 min(s) (0) |
| 25 pts3(s) | 0.017814488810228 min(s) (0) |
| 26 pts3(s) | 0.018527068362637 min(s) (0) |
| 27 pts3(s) | 0.019239647915047 min(s) (0) |
| 28 pts3(s) | 0.019952227467456 min(s) (0) |
| 29 pts3(s) | 0.020664807019865 min(s) (0) |
| 30 pts3(s) | 0.021377386572274 min(s) (0) |
| 31 pts3(s) | 0.022089966124683 min(s) (0) |
| 32 pts3(s) | 0.022802545677092 min(s) (0) |
| 33 pts3(s) | 0.023515125229501 min(s) (0) |
| 34 pts3(s) | 0.02422770478191 min(s) (0) |
| 35 pts3(s) | 0.02494028433432 min(s) (0) |
| 36 pts3(s) | 0.025652863886729 min(s) (0) |
| 37 pts3(s) | 0.026365443439138 min(s) (0) |
| 38 pts3(s) | 0.027078022991547 min(s) (0) |
| 39 pts3(s) | 0.027790602543956 min(s) (0) |
| 40 pts3(s) | 0.028503182096365 min(s) (0) |
| 41 pts3(s) | 0.029215761648774 min(s) (0) |
| 42 pts3(s) | 0.029928341201184 min(s) (0) |
| 43 pts3(s) | 0.030640920753593 min(s) (0) |
| 44 pts3(s) | 0.031353500306002 min(s) (0) |
| 45 pts3(s) | 0.032066079858411 min(s) (0) |
| 46 pts3(s) | 0.03277865941082 min(s) (0) |
| 47 pts3(s) | 0.033491238963229 min(s) (0) |
| 48 pts3(s) | 0.034203818515638 min(s) (0) |
| 49 pts3(s) | 0.034916398068047 min(s) (0) |
| 50 pts3(s) | 0.035628977620457 min(s) (0) |
| 51 pts3(s) | 0.036341557172866 min(s) (0) |
| 52 pts3(s) | 0.037054136725275 min(s) (0) |
| 53 pts3(s) | 0.037766716277684 min(s) (0) |
| 54 pts3(s) | 0.038479295830093 min(s) (0) |
| 55 pts3(s) | 0.039191875382502 min(s) (0) |
| 56 pts3(s) | 0.039904454934911 min(s) (0) |
| 57 pts3(s) | 0.040617034487321 min(s) (0) |
| 58 pts3(s) | 0.04132961403973 min(s) (0) |
| 59 pts3(s) | 0.042042193592139 min(s) (0) |
| 60 pts3(s) | 0.042754773144548 min(s) (0) |
| 61 pts3(s) | 0.043467352696957 min(s) (0) |
| 62 pts3(s) | 0.044179932249366 min(s) (0) |
| 63 pts3(s) | 0.044892511801775 min(s) (0) |
| 64 pts3(s) | 0.045605091354184 min(s) (0) |
| 65 pts3(s) | 0.046317670906594 min(s) (0) |
| 66 pts3(s) | 0.047030250459003 min(s) (0) |
| 67 pts3(s) | 0.047742830011412 min(s) (0) |
| 68 pts3(s) | 0.048455409563821 min(s) (0) |
| 69 pts3(s) | 0.04916798911623 min(s) (0) |
| 70 pts3(s) | 0.049880568668639 min(s) (0) |
| 71 pts3(s) | 0.050593148221048 min(s) (0) |
| 72 pts3(s) | 0.051305727773458 min(s) (0) |
| 73 pts3(s) | 0.052018307325867 min(s) (0) |
| 74 pts3(s) | 0.052730886878276 min(s) (0) |
| 75 pts3(s) | 0.053443466430685 min(s) (0) |
| 76 pts3(s) | 0.054156045983094 min(s) (0) |
| 77 pts3(s) | 0.054868625535503 min(s) (0) |
| 78 pts3(s) | 0.055581205087912 min(s) (0) |
| 79 pts3(s) | 0.056293784640321 min(s) (0) |
| 80 pts3(s) | 0.057006364192731 min(s) (0) |
| 81 pts3(s) | 0.05771894374514 min(s) (0) |
| 82 pts3(s) | 0.058431523297549 min(s) (0) |
| 83 pts3(s) | 0.059144102849958 min(s) (0) |
| 84 pts3(s) | 0.059856682402367 min(s) (0) |
| 85 pts3(s) | 0.060569261954776 min(s) (0) |
| 86 pts3(s) | 0.061281841507185 min(s) (0) |
| 87 pts3(s) | 0.061994421059594 min(s) (0) |
| 88 pts3(s) | 0.062707000612004 min(s) (0) |
| 89 pts3(s) | 0.063419580164413 min(s) (0) |
| 90 pts3(s) | 0.064132159716822 min(s) (0) |
| 91 pts3(s) | 0.064844739269231 min(s) (0) |
| 92 pts3(s) | 0.06555731882164 min(s) (0) |
| 93 pts3(s) | 0.066269898374049 min(s) (0) |
| 94 pts3(s) | 0.066982477926458 min(s) (0) |
| 95 pts3(s) | 0.067695057478868 min(s) (0) |
| 96 pts3(s) | 0.068407637031277 min(s) (0) |
| 97 pts3(s) | 0.069120216583686 min(s) (0) |
| 98 pts3(s) | 0.069832796136095 min(s) (0) |
| 99 pts3(s) | 0.070545375688504 min(s) (0) |
| 100 pts3(s) | 0.071257955240913 min(s) (0) |