<p> plotG(vx,vy,char,size,color) </p>

289a491f-4bd6-4174-bfb8-e0bf1c1e57f7 35 3 12 decimal

&[DATE] &[TIME] - &[FILENAME]

vx vy char size color plotG n vx length : plot vx 1 el vy 1 el char size color augment : i 2 n range plot plot vx i el vy i el char size color augment stack : for plot 41 line :

Water viscosity ... μ[cp]/°C [boiling range]

t[°C] ... μ[cp] XY 0.01 1.787 5 1.519 10 1.307 20 1.002 30 0.798 40 0.653 50 0.547 60 0.467 70 0.404 80 0.355 90 0.315 100 0.282 122 mat :

x β μ β 1 el β 2 el β 3 el x + / + exp :

X XY 1 col : Y XY 2 col : β 3.47 - 488.56 120.643 31 mat : cp 0.001 Pa * s * ≡ 41 line

Unlike mathematical functions, sampled data are never "true". Thus, we express the residuals of the model fit in term of ------ relative residuals -----

data X Y . 14 black plotG : t 25 : (cp @ User [t °C ] ≡ t μ t t β μ + 20 blue 15 mat : 31 line

Range/populate the discrete fit μ100 t 0.01 1001 range : i 1 t rows range μ i el t i el β μ eval : for t μ augment 31 line :

Relative residuals Δ i 1 X rows range resd i el 1 Y i el X i el β μ / - eval : for XY resd augment 21 line :

data μ100 t μ 3 1 sys

Relative residuals Δ 0.01 1.787 0.001 - 5 1.519 010 1.307 0.002 20 1.002 0.002 30 0.798 0.001 - 40 0.653 0.003 - 50 0.547 0.004 - 60 0.467 0.004 - 70 0.404 0.001 - 80 0.355 0.001 90 0.315 0.005 100 0.282 0.01 123 mat

t β μ 0.891

<--- t[°C]--->

Water viscosity ... μ[cp]/°C [critical range]

Vis 5 1.518 10 1.306 25 0.890 50 0.547 100 0.282 150 0.182 200 0.134 250 0.106 300 0.086 350 0.066 102 mat :

μT 5 1.518 10 23.5849 - 25 1.8155 - 50 431.4077 100 0.3067 150 4743.5692 200 0.0595 250 1529.7102 - 300 0.0923 - 350 1490.914 - 102 mat :

X Vis 1 col : Y Vis 2 col : T μT 1 col : μ μT 2 col : 41 line

Thiele continued fraction ... Optimiz numeric t μT μ 1 el t T 1 el - μ 2 el t T 2 el - μ 3 el t T 3 el - μ 4 el t T 4 el - μ 5 el t T 5 el - μ 6 el t T 6 el - μ 7 el t T 7 el - μ 8 el t T 8 el - μ 9 el / + / + / + / + / + / + / + / + :

Optimiz => numeric μ350 t 03501 range : i 1 t rows range v i el t i el μT eval : 11 line for t v augment 31 line :

data X Y . 14 black plotG : t 75 : cp @ User [t] ≡ t cp t t μT + 20 blue 15 mat : 31 line

cp(°K)Spiraxsarco cp°K 273 1.742 277 1.541 281 1.373 285 1.23 289 1.109 293 1.005 297 0.916 301 0.838 305 0.770 309 0.710 313 0.658 317 0.611 321 0.569 325 0.532 329 0.499 333 0.469 337 0.442 341 0.418 345 0.395 349 0.375 353 0.356 357 0.339 361 0.324 365 0.309 369 0.296 373 0.284 262 mat :

Water viscoity ... μ[cp] / °C ... critical range

data μ350 t cp 3 1 sys

t μT 0.38

<--- t[°C]--->

K μ°K 3.7188 - 578.919 137.546 - K + / + exp :

Low 2732273022 mat : X cp°K 1 col : Y cp°K 2 col : data X Y . 10 black plotG : 41 line

μcp k 273373274 range : i 1 k rows range μ i el k i el μ°K : for k μ augment 31 line :

user °K => °K 293 :

°K μ°K 1.005

data μcp Low °K °K μ°K + 20 black 1 5 mat 4 1 sys

3.466 - 487.393 120.455 31 mat

ratio 1.742 0.284 / : 6.134

Viscosity of steam in saturation phase cp <= bar

μbar 5 0.0139 10 0.0149 25 0.0165 50 0.0181 75 0.0192 100 0.0203 125 0.0215 150 0.0228 175 0.0244 200 0.0272 210 0.0291 215 0.0307 122 mat :

μX μbar 1 col : μY μbar 2 col : μSteam μX μY . 12 black plotG : 31 line

μb 0.0131652 0.00021262 3.909 106 -^* - 4.187 108 -^* 2.0972 1010 -^* - 4.0267 1013 -^* 61 mat :

Steam viscosity [cp] <= bar x μS μb j el x j 1 -^* j 16 sum 11 line :

μ 1 x ≤ (x 215 ≤ (* :

μSteam x μS μ / 2 1 sys