Thermodynamics B/C Build

wec01
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Re: Thermodynamics B/C Build

Post by wec01 » April 8th, 2019, 2:28 pm

CookiePie1 wrote:
sciencekid27 wrote:What do y'all think is a good prediction for nats? We are getting about 0.5 off in practice.
That's really good! I mean, at nats, you'd probably want to get within 1.5 degrees. Otherwise, you should be pretty much fine if you can repeat those results.
Yeah, with 0.5 degrees you're only losing a bit over a point, and it's also going to be very difficult to do much better consistently, so I'd say you're in a good spot.
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Re: Thermodynamics B/C Build

Post by sciencekid27 » April 19th, 2019, 1:25 pm

How are you guys making predictions for 5 mL increments? We don't really have time to test every 5 mL increment from 75 to 125 (there are 11 increments)! Is there any way to use to 25 mL increments and maybe perform a weighted arithmetic or geometric average?
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Re: Thermodynamics B/C Build

Post by wec01 » April 19th, 2019, 1:37 pm

sciencekid27 wrote:How are you guys making predictions for 5 mL increments? We don't really have time to test every 5 mL increment from 75 to 125 (there are 11 increments)! Is there any way to use to 25 mL increments and maybe perform a weighted arithmetic or geometric average?
Yeah, you can definitely interpolate the data, but whether you use some sort of regression, average, or something else is up to you since many different methods will get reasonably close. I would still suggest testing a few more volumes even if you don't have time for all of them; the more data you have the better the prediction will be.
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Re: Thermodynamics B/C Build

Post by satvik03 » April 20th, 2019, 8:20 am

You can also try to connect two independent variables.
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Re: Thermodynamics B/C Build

Post by UTF-8 U+6211 U+662F » April 21st, 2019, 6:32 pm

satvik03 wrote:You can also try to connect two independent variables.
Can you explain what you mean by this

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Re: Thermodynamics B/C Build

Post by satvik03 » April 23rd, 2019, 6:39 am

What I mean by connecting two independent variables is to make a regression that has one output (dependent variable), which is the end temperature. But instead of only having one independent variable, have two. For example, make a regression of the form: y = ax1 + bx2 + c, where y is the end temp in C, x1 is the start temp in C, and x2 is the volume in mL. Although this is not as precise as making equations for each volume interval (making a regression for 75, 80...120, 125 mL), it is a good baseline to make predictions off. From my experience, however, I think just interpolating data works better, because the difference between end temperatures with the same start temp, but slightly different volumes, is not that big.
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