A holistic research based on RSM and ANN for improving drilling outcomes in Al–Si–Cu–Mg (C355) alloy
The unique properties of Al–Si-based alloys make them suitable for components that demand structural integrity and wear resistance. This study was conducted to investigate the microstructure, mechanical, and drilling properties of a commercial alloy belonging to the Al–Si casting alloy group and con...
Saved in:
Main Authors: | Şenol Bayraktar, Cem Alparslan, Nurten Salihoğlu, Murat Sarıkaya |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Journal of Materials Research and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785425001152 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigation of boiler energy consumption in the gas refinery units using RSM ANN and Aspen HYSYS
by: Erfan Gholamzadeh, et al.
Published: (2025-01-01) -
Predictive modeling and optimization of SI engine performance and emissions with GEM blends using ANN and RSM
by: Farooq Shaik, et al.
Published: (2025-02-01) -
Localization Improvement for Bearing Units on Key Parts of Morgan RSM
by: Shao Guangjun, et al.
Published: (2018-01-01) -
Prediction of mechanical behavior of epoxy polymer using Artificial Neural Networks (ANN) and Response Surface Methodology (RSM)
by: Khalissa Saada, et al.
Published: (2023-10-01) -
DYNAMIC ANALYSIS AND SIMULATION OF FULL ROTARY BUILT-IN STEERING DRILLING TOOLS
by: ZHANG GuangWei, et al.
Published: (2020-01-01)