Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891002495> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2891002495 endingPage "012063" @default.
- W2891002495 startingPage "012063" @default.
- W2891002495 abstract "Artificial Neural network is a field of man-made intelligence that is able to undertake design prediction, mechanical property forecast, and process selection. In this paper, Aluminium Silicon Carbide composite was developed by reinforcing aluminium metal with silicon carbide powder using stir casting method. The produced aluminium matrix composites (AMC)were subjected to tensile, hardness and electrical tests to obtain tensile extension (mm), load (N), modulus (N/mm^2), yield strength (MPa), hardness (HV), ultimate tensile strength (MPa), tenacity at fracture (gf/tex), time at fracture (s), hardness (HV), conductivity(MΩ/m), and tensile stress (MPa) data. Artificial Neural Network (ANN) was then used to train, test, and validate the obtained experimental data and then predict new set of data. The experimental and ANN predicted data were represented using graphical illustrations. The results showed that ANN could be used to replace rigorous, costly and time consuming experimental exercise with minimal loss in accuracy." @default.
- W2891002495 created "2018-09-27" @default.
- W2891002495 creator A5007856297 @default.
- W2891002495 creator A5083771723 @default.
- W2891002495 creator A5086715068 @default.
- W2891002495 creator A5088237895 @default.
- W2891002495 date "2018-09-10" @default.
- W2891002495 modified "2023-10-18" @default.
- W2891002495 title "Graphical Representations of Experimental and ANN Predicted Data for Mechanical and Electrical Properties of AlSiC Composite Prepared by Stir Casting Method" @default.
- W2891002495 cites W1598934967 @default.
- W2891002495 cites W2000463746 @default.
- W2891002495 cites W2031828321 @default.
- W2891002495 cites W2034927046 @default.
- W2891002495 cites W2044334188 @default.
- W2891002495 cites W2046413509 @default.
- W2891002495 cites W2053302034 @default.
- W2891002495 cites W2081700271 @default.
- W2891002495 cites W2293482513 @default.
- W2891002495 cites W2545186419 @default.
- W2891002495 cites W2611897493 @default.
- W2891002495 cites W2663600061 @default.
- W2891002495 cites W2793445900 @default.
- W2891002495 doi "https://doi.org/10.1088/1757-899x/413/1/012063" @default.
- W2891002495 hasPublicationYear "2018" @default.
- W2891002495 type Work @default.
- W2891002495 sameAs 2891002495 @default.
- W2891002495 citedByCount "6" @default.
- W2891002495 countsByYear W28910024952019 @default.
- W2891002495 countsByYear W28910024952020 @default.
- W2891002495 countsByYear W28910024952021 @default.
- W2891002495 countsByYear W28910024952022 @default.
- W2891002495 crossrefType "journal-article" @default.
- W2891002495 hasAuthorship W2891002495A5007856297 @default.
- W2891002495 hasAuthorship W2891002495A5083771723 @default.
- W2891002495 hasAuthorship W2891002495A5086715068 @default.
- W2891002495 hasAuthorship W2891002495A5088237895 @default.
- W2891002495 hasBestOaLocation W28910024951 @default.
- W2891002495 hasConcept C104779481 @default.
- W2891002495 hasConcept C112950240 @default.
- W2891002495 hasConcept C119857082 @default.
- W2891002495 hasConcept C159985019 @default.
- W2891002495 hasConcept C165720898 @default.
- W2891002495 hasConcept C16635281 @default.
- W2891002495 hasConcept C182508753 @default.
- W2891002495 hasConcept C192562407 @default.
- W2891002495 hasConcept C2780722187 @default.
- W2891002495 hasConcept C28369735 @default.
- W2891002495 hasConcept C41008148 @default.
- W2891002495 hasConcept C50644808 @default.
- W2891002495 hasConcept C513153333 @default.
- W2891002495 hasConcept C87976508 @default.
- W2891002495 hasConceptScore W2891002495C104779481 @default.
- W2891002495 hasConceptScore W2891002495C112950240 @default.
- W2891002495 hasConceptScore W2891002495C119857082 @default.
- W2891002495 hasConceptScore W2891002495C159985019 @default.
- W2891002495 hasConceptScore W2891002495C165720898 @default.
- W2891002495 hasConceptScore W2891002495C16635281 @default.
- W2891002495 hasConceptScore W2891002495C182508753 @default.
- W2891002495 hasConceptScore W2891002495C192562407 @default.
- W2891002495 hasConceptScore W2891002495C2780722187 @default.
- W2891002495 hasConceptScore W2891002495C28369735 @default.
- W2891002495 hasConceptScore W2891002495C41008148 @default.
- W2891002495 hasConceptScore W2891002495C50644808 @default.
- W2891002495 hasConceptScore W2891002495C513153333 @default.
- W2891002495 hasConceptScore W2891002495C87976508 @default.
- W2891002495 hasLocation W28910024951 @default.
- W2891002495 hasOpenAccess W2891002495 @default.
- W2891002495 hasPrimaryLocation W28910024951 @default.
- W2891002495 hasRelatedWork W1545496076 @default.
- W2891002495 hasRelatedWork W1993194222 @default.
- W2891002495 hasRelatedWork W2016112133 @default.
- W2891002495 hasRelatedWork W2314034157 @default.
- W2891002495 hasRelatedWork W2328070424 @default.
- W2891002495 hasRelatedWork W2391368835 @default.
- W2891002495 hasRelatedWork W2795914938 @default.
- W2891002495 hasRelatedWork W4298043073 @default.
- W2891002495 hasRelatedWork W589202251 @default.
- W2891002495 hasRelatedWork W3213137439 @default.
- W2891002495 hasVolume "413" @default.
- W2891002495 isParatext "false" @default.
- W2891002495 isRetracted "false" @default.
- W2891002495 magId "2891002495" @default.
- W2891002495 workType "article" @default.