Skip to main content

A Python module for thermodynamic calculations for teaching thermodynamics at the University of California, Berkeley.

Project description

me40

ME40 — Thermodynamics

Department of Mechanical Engineering University of California, Berkeley

pyCalor

The software package contains classes state and process. The following is the description of their use. You can also get the built-in information by typing the following statements in the Python command line:

import thermo as th

print(th.state.__doc__)

print(th.process.__doc__)

Class state

A call

import thermo as th

st = th.state(substance, property1=value1, property2=value2, name="A")

creates an object of class state. Each such object contains the following fields:

- name description
st.p pressure (in units of kPa)
st.t temperature (in units of K)
st.v specific volume (in units of m3/kg)
st.u specific energy (in units of kJ/kg)
st.h specific enthalpy (in units of kJ/kg)
st.s specific entropy (in units of kJ/kg K)
st.x quality (fraction)
st.molW molecular weight (in units of kg/kmol)
st.R gas constant (in units of kJ/kg K)
st.substance 'water', 'air', 'nitrogen', ... ()

The property values are in the “base units”; they can be viewed by issuing a command:

state.units

Examples:

import thermo as th

th.state.units

st1 = th.state('water', p=(1,'bar'), v=0.1, name="1")

st1.plot("pv") # supported plots are: "pv","Ts","ph"

st2 = th.state('R134a', x=1, t=300, name="B")

st2.plot("Ts", isoProp="v")

st3 = th.state('air', p=(1,'Mpa'), t=(10,'c'))

st3.name = "2a"

This information can also be viewed in the programming environment;

th.state.__doc__

Class process

A call

import thermo as th pr = th.process([(state1,state2),(state2,state3),...])

creates an object of class process. An object of this class represent a simple process, from st1 to st2,

pr = th.process(st1,st2)

a simple cyclic process,

pr = th.process([(st1,st2),(st2,st3),(st3,st4),(st4,st1)]),

which can also be created as

pr = th.process(st1,st2,st3,st4,st1),

or any complex process, but for a single working fluid.

You can access process object properties by the following calls

description
pr.StateList returns a list of state objects
pr.isoProp(st1,st2) returns a dictionary of {isoProperty: value,...} for process st1st2

Once you created process object pr, you can display its states on a thermodynamic diagram via

pr.plot('ts')

to display process pr on a T-s diagram; you may likewise to make such plot in other coordinates, like 'pv', 'ph', etc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycalor-1.0.3.tar.gz (22.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pycalor-1.0.3-py3-none-any.whl (22.5 kB view details)

Uploaded Python 3

File details

Details for the file pycalor-1.0.3.tar.gz.

File metadata

  • Download URL: pycalor-1.0.3.tar.gz
  • Upload date:
  • Size: 22.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.5

File hashes

Hashes for pycalor-1.0.3.tar.gz
Algorithm Hash digest
SHA256 af56f17b63e86f2e3426054600bd8769ef29dceecdfc8302dc0755c66253653a
MD5 65ecf044cda6b1e91b10f933b73e9c60
BLAKE2b-256 03a3c1d4067684a0c35311e1cd33770a6aded9de0f3d32dee33420fb9772d358

See more details on using hashes here.

File details

Details for the file pycalor-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: pycalor-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 22.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.5

File hashes

Hashes for pycalor-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 caa85d861fccbe7fed55e800909eb9bf99cbf02b594e3f1d1df56cb2d2dee4df
MD5 a6a1efd583db39b4fb8e7e1531b8dd31
BLAKE2b-256 24ef459345dd98ef35b4d2a97239842bef6f0acf59198b7d06583fe211bd9282

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page