Matches in SemOpenAlex for { <https://semopenalex.org/work/W2600878036> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2600878036 endingPage "12" @default.
- W2600878036 startingPage "1" @default.
- W2600878036 abstract "The Grade-H high strength steel is used in the manufacturing of many civilian and military products. The procedures of manufacturing these parts have several turning operations. The key factors for the manufacturing of these parts are the accuracy, surface roughness (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mrow><mml:msub><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mi>a</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>), and material removal rate (MRR). The production line of these parts contains many CNC turning machines to get good accuracy and repeatability. The manufacturing engineer should fulfill the required surface roughness value according to the design drawing from first trail (otherwise these parts will be rejected) as well as keeping his eye on maximum metal removal rate. The rejection of these parts at any processing stage will represent huge problems to any factory because the processing and raw material of these parts are very expensive. In this paper the artificial neural network was used for predicting the surface roughness for different cutting parameters in CNC turning operations. These parameters were investigated to get the minimum surface roughness. In addition, a mathematical model for surface roughness was obtained from the experimental data using a regression analysis method. The experimental data are then compared with both the regression analysis results and ANFIS (Adaptive Network-based Fuzzy Inference System) estimations." @default.
- W2600878036 created "2017-04-07" @default.
- W2600878036 creator A5007728930 @default.
- W2600878036 creator A5039362343 @default.
- W2600878036 creator A5071320895 @default.
- W2600878036 creator A5072812900 @default.
- W2600878036 creator A5075931395 @default.
- W2600878036 date "2017-01-01" @default.
- W2600878036 modified "2023-09-27" @default.
- W2600878036 title "Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS" @default.
- W2600878036 cites W1872534146 @default.
- W2600878036 cites W1986595409 @default.
- W2600878036 cites W2005826368 @default.
- W2600878036 cites W2019207321 @default.
- W2600878036 cites W2031126568 @default.
- W2600878036 cites W2057846248 @default.
- W2600878036 cites W2069793359 @default.
- W2600878036 cites W2097487677 @default.
- W2600878036 cites W2281861628 @default.
- W2600878036 cites W2312874499 @default.
- W2600878036 cites W2336178948 @default.
- W2600878036 cites W2414786793 @default.
- W2600878036 cites W2474908393 @default.
- W2600878036 cites W2494655369 @default.
- W2600878036 cites W2535613811 @default.
- W2600878036 cites W2551527837 @default.
- W2600878036 cites W784709120 @default.
- W2600878036 doi "https://doi.org/10.1155/2017/2759020" @default.
- W2600878036 hasPublicationYear "2017" @default.
- W2600878036 type Work @default.
- W2600878036 sameAs 2600878036 @default.
- W2600878036 citedByCount "7" @default.
- W2600878036 countsByYear W26008780362018 @default.
- W2600878036 countsByYear W26008780362021 @default.
- W2600878036 countsByYear W26008780362022 @default.
- W2600878036 countsByYear W26008780362023 @default.
- W2600878036 crossrefType "journal-article" @default.
- W2600878036 hasAuthorship W2600878036A5007728930 @default.
- W2600878036 hasAuthorship W2600878036A5039362343 @default.
- W2600878036 hasAuthorship W2600878036A5071320895 @default.
- W2600878036 hasAuthorship W2600878036A5072812900 @default.
- W2600878036 hasAuthorship W2600878036A5075931395 @default.
- W2600878036 hasBestOaLocation W26008780361 @default.
- W2600878036 hasConcept C107365816 @default.
- W2600878036 hasConcept C11413529 @default.
- W2600878036 hasConcept C119857082 @default.
- W2600878036 hasConcept C127413603 @default.
- W2600878036 hasConcept C154945302 @default.
- W2600878036 hasConcept C159985019 @default.
- W2600878036 hasConcept C186108316 @default.
- W2600878036 hasConcept C192562407 @default.
- W2600878036 hasConcept C195975749 @default.
- W2600878036 hasConcept C41008148 @default.
- W2600878036 hasConcept C50644808 @default.
- W2600878036 hasConcept C58166 @default.
- W2600878036 hasConcept C78519656 @default.
- W2600878036 hasConceptScore W2600878036C107365816 @default.
- W2600878036 hasConceptScore W2600878036C11413529 @default.
- W2600878036 hasConceptScore W2600878036C119857082 @default.
- W2600878036 hasConceptScore W2600878036C127413603 @default.
- W2600878036 hasConceptScore W2600878036C154945302 @default.
- W2600878036 hasConceptScore W2600878036C159985019 @default.
- W2600878036 hasConceptScore W2600878036C186108316 @default.
- W2600878036 hasConceptScore W2600878036C192562407 @default.
- W2600878036 hasConceptScore W2600878036C195975749 @default.
- W2600878036 hasConceptScore W2600878036C41008148 @default.
- W2600878036 hasConceptScore W2600878036C50644808 @default.
- W2600878036 hasConceptScore W2600878036C58166 @default.
- W2600878036 hasConceptScore W2600878036C78519656 @default.
- W2600878036 hasFunder F4320321145 @default.
- W2600878036 hasLocation W26008780361 @default.
- W2600878036 hasLocation W26008780362 @default.
- W2600878036 hasOpenAccess W2600878036 @default.
- W2600878036 hasPrimaryLocation W26008780361 @default.
- W2600878036 hasRelatedWork W2300290509 @default.
- W2600878036 hasRelatedWork W2899084033 @default.
- W2600878036 hasRelatedWork W2961085424 @default.
- W2600878036 hasRelatedWork W3046775127 @default.
- W2600878036 hasRelatedWork W3170094116 @default.
- W2600878036 hasRelatedWork W4285260836 @default.
- W2600878036 hasRelatedWork W4286629047 @default.
- W2600878036 hasRelatedWork W4306321456 @default.
- W2600878036 hasRelatedWork W4306674287 @default.
- W2600878036 hasRelatedWork W4224009465 @default.
- W2600878036 hasVolume "2017" @default.
- W2600878036 isParatext "false" @default.
- W2600878036 isRetracted "false" @default.
- W2600878036 magId "2600878036" @default.
- W2600878036 workType "article" @default.