Optimizing economics of machining for LM25Al/VC composite material using analytical modeling, deep neural network and GRA coupled with RSM
Abstract This study investigates the machinability of a novel LM25 aluminum alloy reinforced with vanadium carbide composite material (LM25Al/VC) using computer numerical control (CNC) lathe operation. By optimizing CNC lathe process parameters such as depth of cut, feed rate, and cutting speed, the...
Saved in:
| Main Authors: | Mesay Alemu Tolcha, Hirpa Gelgele Lemu, Yosef Wakjira Adugna |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95446-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of the key material degradation mechanisms affecting silicon solar cells: Systematic literature review
by: Eshetu Tadesse Ymer, et al.
Published: (2025-09-01) -
A Comparative Study about Production of Va nadium Carbide via Self Propagating High Temperature Synthesis and Reduction
by: Mehmet Bugdayci, et al.
Published: (2024-04-01) -
Increasing the efficiency of forging tools by Toyota diffusion process
by: Željko Stojanović, et al.
Published: (2015-03-01) -
Photocatalytic CO2 Conversion with H2O to CO and CH4 Over V2C/TiO2 Composite
by: Beenish Tahir, et al.
Published: (2025-07-01) -
Influence of Interatomic Interaction Processes on the Mechanical Properties of Carbide Coatings Based on Ti, V and Cr, Obtained by Diffusion Metallization
by: Ya.V. Zaulychny, et al.
Published: (2016-11-01)