Heat capacity as a function of T under 298 K for metals

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SUMMARY

The heat capacity equation Cp for copper, defined by the Shomate equation, is applicable for the temperature range of 298-1358 K according to the NIST Webbook. To calculate the heat required to raise the temperature from 283.15 K to 373.15 K, users can utilize the existing formula, although it may introduce minor inaccuracies due to extrapolation. Concerns regarding the precision of the formula arise from potential impurities in the copper and the uncertainties in the reference data. Users are encouraged to compare the interpolation formula against tabulated values at 200 K or create their own fitting for different temperature ranges.

PREREQUISITES
  • Understanding of the Shomate equation for heat capacity
  • Familiarity with thermodynamic principles
  • Knowledge of temperature ranges in heat capacity calculations
  • Ability to interpret data from the NIST Webbook
NEXT STEPS
  • Research the Shomate equation for other metals and their heat capacities
  • Learn about the impact of impurities on thermal properties of materials
  • Investigate methods for fitting data to obtain accurate heat capacity equations
  • Explore the NIST Webbook for additional thermodynamic data and resources
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Materials scientists, thermodynamic researchers, and engineers involved in thermal analysis and heat capacity calculations for metals.

Carlos
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The heat capacity equation Cp for copper as a function of temperature (Shomate equation) for the solid phase is defined for the range of 298-1358 K in the Nist Webbook and in many books.

http://webbook.nist.gov/cgi/inchi?ID=C7440508&Mask=2#Thermo-Condensed

And I need to calculate the heat needed to raise temperature from 283.15 to 373.15 K. Are there another coefficients for a broader range (maybe from 273 K to 1358 K) or how could I calculate that accurately?
 
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A formula that works from 298 K to 1358 K (a range of more than 1000 K) won't be completely wrong just 16 K below that.
If you are worried about the 15 K extrapolation (with an error of the order of 0.1%), you should be even more worried about the lack of uncertainties in the reference. And what about impurities in your copper?

If you look at the actual data source, the formula seems to be some fit to the tabulated values in 100 K intervals. Don't expect too precise results anyway. There is also a value for 200 K, you can compare the interpolation formula at this point, or make your own fit to a different data range.
 
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