Article detail · 2013
Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024 B4C composites produced by powder metallurgy
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 143
Top 1%
Percentile 99.2%
FWCI 13.16
- Year
- 2013
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Composites Part B: Engineering
- Catalog match (ISSN) Composites Part B: Engineering
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
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Citations
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143 citations
OpenAlex cited_by_count (cache / database)
46 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- Microstructure electrical conductivity and hardness of multilayer graphene Copper nanocomposites synthesized by flake powder metallurgy 2015
- Improving mechanical properties of nano-sized TiC particle reinforced AA7075 Al alloy composites produced by ball milling and hot pressing 2021
- Improving mechanical properties of nano-sized TiC particle reinforced AA7075 Al alloy composites produced by ball milling and hot pressing 2021
- The investigation of the effect of particle size on wear performance of AA7075/Al2O3 composites using statistical analysis and different machine learning methods 2021
- Proper estimation of surface roughness using hybrid intelligence based on artificial neural network and genetic algorithm 2021
- Investigation of wear behaviours of Al matrix composites reinforced with different B4C rate produced by powder metallurgy method 2017
- Optimization of Dry Sliding Wear in Hot-Pressed Al/B4C Metal Matrix Composites Using Taguchi Method and ANN 2024