adequat_project_ai-and-optimization

Evolutionary Cost-Tolerance Optimization for Complex Assembly Mechanisms Via Simulation and Surrogate Modeling Approaches: Application on Micro Gears (http://dx.doi.org/10.21203/rs.3.rs-2487746/v1)

https://github.com/theamirhk/adequat_project_ai-and-optimization

Science Score: 67.0%

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CITATION.cff file
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Low similarity (5.4%) to scientific vocabulary

Keywords

artificial-intelligence cost-optimization data-engineering design-engineering optimization simulation

Last synced: 6 months ago · JSON representation ·

Repository

Evolutionary Cost-Tolerance Optimization for Complex Assembly Mechanisms Via Simulation and Surrogate Modeling Approaches: Application on Micro Gears (http://dx.doi.org/10.21203/rs.3.rs-2487746/v1)

Basic Info

Host: GitHub
Owner: TheAmirHK
Language: Python
Default Branch: main
Homepage:
Size: 6.02 MB

Statistics

Stars: 2
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 1

Topics

artificial-intelligence cost-optimization data-engineering design-engineering optimization simulation

Created almost 3 years ago · Last pushed 11 months ago

Metadata Files

Readme Citation

AI-Driven Prediction of Micro Gears' Performance for Cost-Tolerance Optimization

In design engineering, precise tolerances are essential to meet required specifications. Advancements in technology have enabled miniaturization and the manufacturing of high-precision components, such as micro gears with tolerances below 5 μm. While Monte-Carlo simulations can predict inaccuracies, they are time-consuming for complex designs. These codes provide an AI-driven statistical surrogate model for a pair of industrial micro gears to predict conformity and tailored a modular cost model to interpret it into production cost.

Reference

Khezri, A., Schiller, V., Goka, E., Homri, L., Etienne, A., Stamer, F., Dantan, J.-Y., & Lanza, G. (2023). Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches: application on micro gears. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-023-11360-x

Owner

Name: Amir
Login: TheAmirHK
Kind: user
Location: France

Repositories: 1
Profile: https://github.com/TheAmirHK

Industrial and Mechanical Engineering PhD 👨🏻‍🎓 | Specialized in optimization, operation research, product development and applied artificial intelligence

Citation (CITATION.cff)

cff-version: 1.1.0
author:
  - family-names: Amirhossein
    given-names: Khezri
    orcid: https://orcid.org/0000-0003-0050-9272
title: AI-Driven Prediction of Micro Gears' Performance for Cost-Tolerance Optimization
version: v1.00
date-released: 2023-04-11

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