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roughsurfacegen

Artificial rough surface generator that fits prescribed surface roughness parameters

https://github.com/jun9303/roughsurfacegen

Science Score: 57.0%

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Repository

Artificial rough surface generator that fits prescribed surface roughness parameters

Basic Info
  • Host: GitHub
  • Owner: jun9303
  • License: mit
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 1.58 MB
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created about 2 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

roughSurfaceGen

An artificial rough surface generator based on the algorithm by Forooghi et al. (2017, J. Fluids Eng., doi:10.1115/1.4037280). This tool enables the creation and visualization of rough surfaces for research and engineering applications.

Features - Generate artificial rough surfaces using established algorithms. - Visualize generated surfaces directly in MATLAB. - Optimize surface parameters (Ra, Rq, Rsk, Rku, etc.) to match target roughness statistics using a genetic algorithm.

Getting Started - MATLAB Compatibility: Tested on MATLAB R2023b or later. - To Generate and Visualize a Surface:
Run roughSurfGenScript in MATLAB. You can specify input parameters to control the characteristics of the generated surface. - To Optimize Surface Properties:
Run genAlgOptScript to find a rough surface that best matches your prescribed roughness properties. This script uses MATLAB’s genetic algorithm toolbox. For more details, see How the genetic algorithm works.

Repository Purpose

This repository accompanies the article "Flow in ribbed cooling channels with additive manufacturing-induced surface roughness." For further details and results, see the publication linked below.

How to Cite

If you use this code or data in your work, please cite:

  • Lee, S., Baek, S., Ryu, J., Song, M., & Hwang, W. (2025). Flow in ribbed cooling channels with additive manufacturing-induced surface roughness. Physics of Fluids, 37(6), 065118. https://doi.org/10.1063/5.0268180

To cite the code directly, click Cite this repository in the sidebar or refer to the CITATION.cff file for citation metadata.

Owner

  • Name: Sangjoon Lee
  • Login: jun9303
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: 'roughSurfaceGen: Artificial rough surface generator that fits prescribed
  surface roughness parameters'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Sangjoon
    family-names: Lee
    email: sjoonl@stanford.edu
    affiliation: Stanford University
    orcid: 'https://orcid.org/0000-0002-2063-6298'
repository-code: 'https://github.com/jun9303/roughSurfaceGen'
abstract: >-
  Artificial rough surface generator that fits prescribed
  surface roughness parameters.
license: MIT
version: 1.0.1
date-released: 2025-06-05

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