MIT Microstructural Evolution in Materials 4: Heat capacity

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Presentation transcript:

MIT 3.022 Microstructural Evolution in Materials 4: Heat capacity Juejun (JJ) Hu hujuejun@mit.edu

Molar heat capacity cv (J/mol K) cv/R Type Degrees of freedom Material Molar heat capacity cv (J/mol K) cv/R Type Degrees of freedom He 12.5 1.5 Monatomic gas 3 translational Total 3 Ne Ar Gas H2 20.2 2.43 Diatomic gas 3 translational 2 rotational Total 5 O2 N2 19.9 2.39 H2S 26.7 3.22 Triatomic gas Depends on molecular geometry CO2 28.5 3.43 H2O (100 °C) 28.0 3.37 Arsenic 24.6 2.96 Atomic solid 3 translational 3 vibrational Total 6 Diamond 6.1 0.74 Antimony 25.2 3.03 Copper 24.5 2.95 Silver 24.9 3.00 Non-metal Metal Mercury 28.0 3.36 Liquid ? H2O 75.3 9.06 Gasoline 229 27.6 Liquid The values are quoted for 25 °C and 1 atm pressure for gases unless otherwise noted

Molar heat capacity modeling Deriving heat capacity: Determine system energy levels Derive partition function Z Calculate mean energy as a function of temperature Calculate heat capacity by taking derivative with respect to T for condensed matter This mole has a large molar heat capacity

Non-interacting, distinguishable particles Consider a system consisting of N identical but distinguishable particles Classical ideal gas “Spatially labelled” particle systems: e.g. atoms on a crystal lattice The system’s partition function is the product of individual particle’s partition function

Non-interacting, indistinguishable particles Consider a system consisting of N indistinguishable particles Quantum ideal gas (with wave function overlap) Permutation does not generate new states The system’s partition function Note that the latter expression comes from the classical limit of quantum statistics and only applies to dilute ideal gas! The N! factor avoids over counting due to permutation

Monatomic gas Only consider translational degrees of freedom Particle in a box model: Particle partition function for translational motion along the x-direction

Monatomic gas (cont’d) Particle partition function for translational motion Partition function of the system consisting of N ideal gas particles Average energy of the system Distinguishability does not affect average energy

Monatomic gas (cont’d) Molar heat capacity at constant volume Each translational degree of freedom contributes average energy (energy equipartition) Material Molar heat capacity cv (J/mol K) cv/R He 12.5 1.5 Ne Ar

Heat capacity of an atomic solid Harmonic oscillator model Each atom oscillates in its own potential well independent of other atoms Potential function Spring constant Oscillator angular frequency A B C Energy harmonic potential x

Heat capacity of a harmonic oscillator Energy: Partition function: Mean energy: Heat capacity: Neglect zero point energy

Heat capacity of a harmonic oscillator High T limit Low T limit High temperature limit obeys the energy equipartition theorem: there are two quadratic terms in the Hamiltonian of a harmonic oscillator (each should contribute 0.5 k heat capacity according to the theorem), and therefore the heat capacity is 2*0.5*k = k.

Heat capacity of a 3-D atomic solid Partition function: Mean energy: Heat capacity: Distinguishable atoms oscillating along x, y, and z directions High T limit (Dulong-Petit law) Low T limit

Normal modes (lattice waves) Lattice waves can be decomposed to different normal modes: Fourier analysis Normal modes of lattice wave: in analogy to “particle-in-a-box”

Everything you need to know about heat capacity Partition function of systems composed of distinguishable and indistinguishable particles Distinguishability does not affect average energy and heat capacity; however, it does change entropy Heat capacity of monatomic gas: energy equipartition Heat capacity of harmonic oscillators Heat capacity of atomic solids: the Einstein model