Skip to main content

Pixel impulse response calculations for DLP 3D printers based on DMD micro-mirror arrays with projection optics

Project description

Purpose

Introduce the concept of Pixel Impulse Response (PIR) as a means to predict the expected irradiance distribution for DLP (UV image projection) 3D printing systems.

Theory & Implementation

See src/pir_optics/docs/PIR_theory_summary.md.

Usage

TBD.

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

pir_optics-0.1.0.tar.gz (26.4 MB view details)

Uploaded Source

Built Distribution

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

pir_optics-0.1.0-py3-none-any.whl (11.2 kB view details)

Uploaded Python 3

File details

Details for the file pir_optics-0.1.0.tar.gz.

File metadata

  • Download URL: pir_optics-0.1.0.tar.gz
  • Upload date:
  • Size: 26.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.2

File hashes

Hashes for pir_optics-0.1.0.tar.gz
Algorithm Hash digest
SHA256 34c3911d2801ea386d1a07018f1b8e2e09a33ac3e976154a4a3730a7cb14f775
MD5 f0d99540441c66430108121b9f5357a8
BLAKE2b-256 53a97791d9726bb6f9acb9ab90db91a0c3f99eae7483040062e1e11ac582af27

See more details on using hashes here.

File details

Details for the file pir_optics-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for pir_optics-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8e3064517ebdcd35627f6241baeea218bd1539f96cd94ef785ae1f09d1225b8c
MD5 666344288e4d6d57130373c96e88c756
BLAKE2b-256 fb4292e59c05dcfe608b9e699546a087c15cbb6ced14f3955222ec07e2edc945

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