Thanks Andrew. I was just looking at thermistortables.h. Unfortunately the tables on the wiki and the tables in this file (for marlin) don't seem to match. Here's an example of each and maybe you can help with the translation.
It looks like the numbers are similar if I just put add the rest of the stuff from the marlin table. But there are many more entries in the marlin tables. Will that matter?
The table in the marlin file has many more data points in the temp regions where it matters. It seems like that might be a good idea as it really doesn't matter how accurate it is at 1008 degrees :-).
How much will this affect the readings in the end do you think? Do most people just go with the standard tables and then adapt based on the behavior of their print? Seems like so much is dependent on the plastic and other environmental things that the temp settings are more for measuring consistency than for accuracy to a real scale.
Thanks,
Bret
The table for the EPCOS 100K with beta 4066 from the wiki:
// EPCOS 100K Thermistor (B57540G0104F000)
// Thermistor lookup table for RepRap Temperature Sensor Boards (http://make.rrrf.org/ts)
// Made with createTemperatureLookup.py (http://svn.reprap.org/trunk/reprap/firmware/Arduino/utilities/createTemperatureLookup.py)
// ./createTemperatureLookup.py --r0=100000 --t0=25 --r1=0 --r2=4700 --beta=4066 --max-adc=1023
// r0: 100000
// t0: 25
// r1: 0
// r2: 4700
// beta: 4066
// max adc: 1023
#define NUMTEMPS 20
short temptable[NUMTEMPS][2] = {
{1, 841},
{54, 255},
{107, 209},
{160, 184},
{213, 166},
{266, 153},
{319, 142},
{372, 132},
{425, 124},
{478, 116},
{531, 108},
{584, 101},
{637, 93},
{690, 86},
{743, 78},
{796, 70},
{849, 61},
{902, 50},
{955, 34},
{1008, 3}
};
The table for option 1 (epcos 100K with 4.7K in marlin thermistortables.h):
#if (THERMISTORHEATER_0 == 1) || (THERMISTORHEATER_1 == 1) || (THERMISTORHEATER_2 == 1) || (THERMISTORBED == 1) //100k bed thermistor
const short temptable_1[][2] PROGMEM = {
{ 23*OVERSAMPLENR , 300 },
{ 25*OVERSAMPLENR , 295 },
{ 27*OVERSAMPLENR , 290 },
{ 28*OVERSAMPLENR , 285 },
{ 31*OVERSAMPLENR , 280 },
{ 33*OVERSAMPLENR , 275 },
{ 35*OVERSAMPLENR , 270 },
{ 38*OVERSAMPLENR , 265 },
{ 41*OVERSAMPLENR , 260 },
{ 44*OVERSAMPLENR , 255 },
{ 48*OVERSAMPLENR , 250 },
{ 52*OVERSAMPLENR , 245 },
{ 56*OVERSAMPLENR , 240 },
{ 61*OVERSAMPLENR , 235 },
{ 66*OVERSAMPLENR , 230 },
{ 71*OVERSAMPLENR , 225 },
{ 78*OVERSAMPLENR , 220 },
{ 84*OVERSAMPLENR , 215 },
{ 92*OVERSAMPLENR , 210 },
{ 100*OVERSAMPLENR , 205 },
{ 109*OVERSAMPLENR , 200 },
{ 120*OVERSAMPLENR , 195 },
{ 131*OVERSAMPLENR , 190 },
{ 143*OVERSAMPLENR , 185 },
{ 156*OVERSAMPLENR , 180 },
{ 171*OVERSAMPLENR , 175 },
{ 187*OVERSAMPLENR , 170 },
{ 205*OVERSAMPLENR , 165 },
{ 224*OVERSAMPLENR , 160 },
{ 245*OVERSAMPLENR , 155 },
{ 268*OVERSAMPLENR , 150 },
{ 293*OVERSAMPLENR , 145 },
{ 320*OVERSAMPLENR , 140 },
{ 348*OVERSAMPLENR , 135 },
{ 379*OVERSAMPLENR , 130 },
{ 411*OVERSAMPLENR , 125 },
{ 445*OVERSAMPLENR , 120 },
{ 480*OVERSAMPLENR , 115 },
{ 516*OVERSAMPLENR , 110 },
{ 553*OVERSAMPLENR , 105 },
{ 591*OVERSAMPLENR , 100 },
{ 628*OVERSAMPLENR , 95 },
{ 665*OVERSAMPLENR , 90 },
{ 702*OVERSAMPLENR , 85 },
{ 737*OVERSAMPLENR , 80 },
{ 770*OVERSAMPLENR , 75 },
{ 801*OVERSAMPLENR , 70 },
{ 830*OVERSAMPLENR , 65 },
{ 857*OVERSAMPLENR , 60 },
{ 881*OVERSAMPLENR , 55 },
{ 903*OVERSAMPLENR , 50 },
{ 922*OVERSAMPLENR , 45 },
{ 939*OVERSAMPLENR , 40 },
{ 954*OVERSAMPLENR , 35 },
{ 966*OVERSAMPLENR , 30 },
{ 977*OVERSAMPLENR , 25 },
{ 985*OVERSAMPLENR , 20 },
{ 993*OVERSAMPLENR , 15 },
{ 999*OVERSAMPLENR , 10 },
{ 1004*OVERSAMPLENR , 5 },
{ 1008*OVERSAMPLENR , 0 } //safety
};
#endif