Skip to main content

Centrifugal Compressor Performance calculation.

Project description

drawing Centrifugal Compressor Performance

PyPI Version License code style black

ccp is a python library for calculation of centrifugal compressor performance. It uses CoolProp/REFPROP for the gas properties calculations.

import ccp

# ccp uses pint to handle units. Q_ is a pint quantity.
# If a pint quantity is not provided, SI units are assumed.
Q_ = ccp.Q_
ps = Q_(3, 'bar')
Ts = 300

# Define the fluid as a dictionary:
fluid = {
    "CarbonDioxide": 0.8,
    "Nitrogen": 0.2,
}

# Define suction and discharge states:

suc0 = ccp.State(fluid=fluid, p=ps, T=Ts)
disch0 = ccp.State(fluid=fluid, p=Q_(7.255, 'bar'), T=391.1)
disch1 = ccp.State(fluid=fluid, p=Q_(6.754, 'bar'), T=382.1)

# Create performance point(s):

point0 = ccp.Point(
    suc=suc0,
    disch=disch0,
    speed=Q_(7941, 'RPM'),
    flow_m=Q_(34203.6, 'kg/hr'),
    b=0.0285,
    D=0.365,
)
point1 = ccp.Point(
    suc=suc0,
    disch=disch1,
    speed=Q_(7941, 'RPM'),
    flow_m=Q_(36204.8, 'kg/hr'),
    b=0.0285,
    D=0.365,
)

# Create an impeller with those points:

imp = ccp.Impeller([point0, point1])

# Get results from the Impeller with methods such as
imp.head_plot()
imp.disch.T_plot()

Documentation

Access the documentation here.

Questions

If you have any questions, you can use the Discussions area in the repository.

Contributing to ccp

ccp is a community-driven project. If you want to contribute to the project, please check CONTRIBUTING.md.

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

ccp_performance-0.3.12.tar.gz (4.6 MB view details)

Uploaded Source

Built Distribution

ccp_performance-0.3.12-py3-none-any.whl (4.6 MB view details)

Uploaded Python 3

File details

Details for the file ccp_performance-0.3.12.tar.gz.

File metadata

  • Download URL: ccp_performance-0.3.12.tar.gz
  • Upload date:
  • Size: 4.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for ccp_performance-0.3.12.tar.gz
Algorithm Hash digest
SHA256 33f86b8babed702475cfd62a2464c563822ae1e3e84666e082f1176ac5ae48f0
MD5 abc6955990fd2d6260842b4ccbf36268
BLAKE2b-256 96a7c041bd85569b43bc6dd73ef7fafee3a8f16f4fc5363560ccc18ca1b21f31

See more details on using hashes here.

File details

Details for the file ccp_performance-0.3.12-py3-none-any.whl.

File metadata

File hashes

Hashes for ccp_performance-0.3.12-py3-none-any.whl
Algorithm Hash digest
SHA256 d6f621c127c1ffcb0ddeac260567e3858e964a46783c6cec461d20d85c2149a7
MD5 6997fc4bb84b65b6905adfbe384d04ba
BLAKE2b-256 4b97a2c705d3c05a24906b51e5b1eb4337d8d6d2b4db2ccf4c88dcc343cfdd85

See more details on using hashes here.

Supported by

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