Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320402045> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4320402045 endingPage "11" @default.
- W4320402045 startingPage "1" @default.
- W4320402045 abstract "An Artificial Neural Network (ANN) model was developed for predicting the contact area and ground pressure of bias-ply tractor tyres. A Graphical User Interface (GUI) using Tkinter was created to deploy the developed ANN model. A total of 538 datasets for the 12.4–28, 13.6–28, 14.9–28 and 16.9–28 tyres by varying load on tyres (600 to 1950 kg) and inflation pressure (69 to 234 kPa) were collected from the experimental trials and divided in a ratio of 70:30 for the training and testing of the ANN model, respectively. Another 50 new datasets of all tyres were used for validation purpose. The nominal width and overall diameter of tyre, normal load, and inflation pressure were considered as input parameters for the developed ANN model and the contact area of the tyre was taken as the output parameter. All the input parameters significantly affected the contact area of the tyre, as evident from the sensitivity analysis. The well-trained ANN model coupled with GUI predicted contact area and ground pressure beneath the tyre on firm surface at any inflation pressure and load with a maximum deviation of 2 % from the actual values measured as compared to 10 % and −9% in case of Komandi model." @default.
- W4320402045 created "2023-02-14" @default.
- W4320402045 creator A5001542147 @default.
- W4320402045 creator A5052289061 @default.
- W4320402045 date "2023-06-01" @default.
- W4320402045 modified "2023-09-27" @default.
- W4320402045 title "Development of an artificial neural network model with graphical user interface for predicting contact area of bias-ply tractor tyres on firm surface" @default.
- W4320402045 cites W1964611656 @default.
- W4320402045 cites W1971158227 @default.
- W4320402045 cites W1971729615 @default.
- W4320402045 cites W1988937956 @default.
- W4320402045 cites W2000874977 @default.
- W4320402045 cites W2009665082 @default.
- W4320402045 cites W2021487734 @default.
- W4320402045 cites W2032715597 @default.
- W4320402045 cites W2044904358 @default.
- W4320402045 cites W2057133535 @default.
- W4320402045 cites W2061793262 @default.
- W4320402045 cites W2066228136 @default.
- W4320402045 cites W2067313763 @default.
- W4320402045 cites W2073983635 @default.
- W4320402045 cites W2137983211 @default.
- W4320402045 cites W2142238647 @default.
- W4320402045 cites W2951386605 @default.
- W4320402045 cites W3128290931 @default.
- W4320402045 cites W3194799356 @default.
- W4320402045 doi "https://doi.org/10.1016/j.jterra.2023.01.004" @default.
- W4320402045 hasPublicationYear "2023" @default.
- W4320402045 type Work @default.
- W4320402045 citedByCount "4" @default.
- W4320402045 countsByYear W43204020452023 @default.
- W4320402045 crossrefType "journal-article" @default.
- W4320402045 hasAuthorship W4320402045A5001542147 @default.
- W4320402045 hasAuthorship W4320402045A5052289061 @default.
- W4320402045 hasConcept C127413603 @default.
- W4320402045 hasConcept C154945302 @default.
- W4320402045 hasConcept C159985019 @default.
- W4320402045 hasConcept C171146098 @default.
- W4320402045 hasConcept C192562407 @default.
- W4320402045 hasConcept C199360897 @default.
- W4320402045 hasConcept C2780427559 @default.
- W4320402045 hasConcept C33373654 @default.
- W4320402045 hasConcept C37789001 @default.
- W4320402045 hasConcept C41008148 @default.
- W4320402045 hasConcept C44154836 @default.
- W4320402045 hasConcept C50644808 @default.
- W4320402045 hasConceptScore W4320402045C127413603 @default.
- W4320402045 hasConceptScore W4320402045C154945302 @default.
- W4320402045 hasConceptScore W4320402045C159985019 @default.
- W4320402045 hasConceptScore W4320402045C171146098 @default.
- W4320402045 hasConceptScore W4320402045C192562407 @default.
- W4320402045 hasConceptScore W4320402045C199360897 @default.
- W4320402045 hasConceptScore W4320402045C2780427559 @default.
- W4320402045 hasConceptScore W4320402045C33373654 @default.
- W4320402045 hasConceptScore W4320402045C37789001 @default.
- W4320402045 hasConceptScore W4320402045C41008148 @default.
- W4320402045 hasConceptScore W4320402045C44154836 @default.
- W4320402045 hasConceptScore W4320402045C50644808 @default.
- W4320402045 hasLocation W43204020451 @default.
- W4320402045 hasOpenAccess W4320402045 @default.
- W4320402045 hasPrimaryLocation W43204020451 @default.
- W4320402045 hasRelatedWork W1800300147 @default.
- W4320402045 hasRelatedWork W2022614753 @default.
- W4320402045 hasRelatedWork W2078529333 @default.
- W4320402045 hasRelatedWork W2386267808 @default.
- W4320402045 hasRelatedWork W2791174895 @default.
- W4320402045 hasRelatedWork W2793223170 @default.
- W4320402045 hasRelatedWork W2899084033 @default.
- W4320402045 hasRelatedWork W3192762135 @default.
- W4320402045 hasRelatedWork W4214550215 @default.
- W4320402045 hasRelatedWork W829723522 @default.
- W4320402045 hasVolume "107" @default.
- W4320402045 isParatext "false" @default.
- W4320402045 isRetracted "false" @default.
- W4320402045 workType "article" @default.