FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3195196637> ?p ?o ?g. }

• W3195196637 endingPage "168781402110406" @default.
• W3195196637 startingPage "168781402110406" @default.
• W3195196637 abstract "The Calacatta-Carrara marble is widely used due to its excellent physico-chemical characteristics and attractive aspect. However, the sensitivity of this materiel, when performing delicate manufacturing operations, presents for the engineers a hard challenge to overcome. This issue is mainly encountered with complex shapes of parts, for which it is difficult to preserve surface integrity and avoid geometric defects. The paper aims at finding out optimal drilling parameters of cutting in the Calacatta-Carrara white marble material, in order to minimize the holes cylindricity (HC) and surface roughness (HR) using six controlled operating factors, namely, the rotation speed ( N), the feed speed ( F), the drill bit diameter (BD), the drill bit height (BH), the number of pecking cycles ( P), and the drilling depth (DD). The experimental design uses a [Formula: see text] fractional factorial plan that is replicated once for cost consideration. The optimization process, that is, minimum cylindricity and roughness tolerances, is carried out using the Gray Relational Analysis (GRA) technique. Numerical modeling of machining parameters is performed using Multi-Layer Perceptron Artificial Neural Network (MLP ANN) and Multiple Regression Model (MR) to predict surface quality. For the sake of completeness these two models were compared in terms of fitness and predictability. The models were assessed statistically using the correlation coefficient. Results showed that either solution predicts a roughness tolerance which is in good agreement with the test data (both R-sq.(adj.) and R-sq.(pred.) >94%). However, the holes cylindricity tolerance response was shown to be superior with MLP-ANN model (R-sq.(adj.) 50.64% and R-sq.(pred.) 48.67%). The GRA analysis shows that minimum cylindricity and roughness are met when N and F are set high, BD and BH low, P high and DD low." @default.
• W3195196637 created "2021-08-30" @default.
• W3195196637 creator A5020720350 @default.
• W3195196637 creator A5023746197 @default.
• W3195196637 creator A5057504831 @default.
• W3195196637 creator A5088653038 @default.
• W3195196637 date "2021-08-01" @default.
• W3195196637 modified "2023-09-23" @default.
• W3195196637 title "Assessment of cylindricity and roughness tolerances of holes drilled in marble using multiple regression and artificial intelligence" @default.
• W3195196637 cites W1885701387 @default.
• W3195196637 cites W1963567690 @default.
• W3195196637 cites W1974876052 @default.
• W3195196637 cites W1978618432 @default.
• W3195196637 cites W1986031487 @default.
• W3195196637 cites W2006485733 @default.
• W3195196637 cites W2010246604 @default.
• W3195196637 cites W2023039132 @default.
• W3195196637 cites W2029876794 @default.
• W3195196637 cites W2036893575 @default.
• W3195196637 cites W2047546021 @default.
• W3195196637 cites W2052876121 @default.
• W3195196637 cites W2072844563 @default.
• W3195196637 cites W2087241608 @default.
• W3195196637 cites W2121067334 @default.
• W3195196637 cites W2124090653 @default.
• W3195196637 cites W2127568771 @default.
• W3195196637 cites W2168272015 @default.
• W3195196637 cites W2516373568 @default.
• W3195196637 cites W2569384836 @default.
• W3195196637 cites W2774268538 @default.
• W3195196637 cites W2786140447 @default.
• W3195196637 cites W2789825202 @default.
• W3195196637 cites W2920959103 @default.
• W3195196637 cites W2943443885 @default.
• W3195196637 cites W2962811470 @default.
• W3195196637 cites W2972482419 @default.
• W3195196637 cites W2972761044 @default.
• W3195196637 cites W2998427955 @default.
• W3195196637 cites W3014772551 @default.
• W3195196637 cites W3036221888 @default.
• W3195196637 cites W3040419872 @default.
• W3195196637 doi "https://doi.org/10.1177/16878140211040647" @default.
• W3195196637 hasPublicationYear "2021" @default.
• W3195196637 type Work @default.
• W3195196637 sameAs 3195196637 @default.
• W3195196637 citedByCount "3" @default.
• W3195196637 countsByYear W31951966372022 @default.
• W3195196637 countsByYear W31951966372023 @default.
• W3195196637 crossrefType "journal-article" @default.
• W3195196637 hasAuthorship W3195196637A5020720350 @default.
• W3195196637 hasAuthorship W3195196637A5023746197 @default.
• W3195196637 hasAuthorship W3195196637A5057504831 @default.
• W3195196637 hasAuthorship W3195196637A5088653038 @default.
• W3195196637 hasBestOaLocation W31951966371 @default.
• W3195196637 hasConcept C107365816 @default.
• W3195196637 hasConcept C127413603 @default.
• W3195196637 hasConcept C154945302 @default.
• W3195196637 hasConcept C159985019 @default.
• W3195196637 hasConcept C173736775 @default.
• W3195196637 hasConcept C192562407 @default.
• W3195196637 hasConcept C25197100 @default.
• W3195196637 hasConcept C33923547 @default.
• W3195196637 hasConcept C41008148 @default.
• W3195196637 hasConcept C50644808 @default.
• W3195196637 hasConcept C523214423 @default.
• W3195196637 hasConcept C60908668 @default.
• W3195196637 hasConcept C71039073 @default.
• W3195196637 hasConcept C78519656 @default.
• W3195196637 hasConceptScore W3195196637C107365816 @default.
• W3195196637 hasConceptScore W3195196637C127413603 @default.
• W3195196637 hasConceptScore W3195196637C154945302 @default.
• W3195196637 hasConceptScore W3195196637C159985019 @default.
• W3195196637 hasConceptScore W3195196637C173736775 @default.
• W3195196637 hasConceptScore W3195196637C192562407 @default.
• W3195196637 hasConceptScore W3195196637C25197100 @default.
• W3195196637 hasConceptScore W3195196637C33923547 @default.
• W3195196637 hasConceptScore W3195196637C41008148 @default.
• W3195196637 hasConceptScore W3195196637C50644808 @default.
• W3195196637 hasConceptScore W3195196637C523214423 @default.
• W3195196637 hasConceptScore W3195196637C60908668 @default.
• W3195196637 hasConceptScore W3195196637C71039073 @default.
• W3195196637 hasConceptScore W3195196637C78519656 @default.
• W3195196637 hasIssue "8" @default.
• W3195196637 hasLocation W31951966371 @default.
• W3195196637 hasOpenAccess W3195196637 @default.
• W3195196637 hasPrimaryLocation W31951966371 @default.
• W3195196637 hasRelatedWork W1553274644 @default.
• W3195196637 hasRelatedWork W2039943527 @default.
• W3195196637 hasRelatedWork W2063395047 @default.
• W3195196637 hasRelatedWork W2364121375 @default.
• W3195196637 hasRelatedWork W2366733157 @default.
• W3195196637 hasRelatedWork W2787960549 @default.
• W3195196637 hasRelatedWork W3176687740 @default.
• W3195196637 hasRelatedWork W3191625532 @default.
• W3195196637 hasRelatedWork W4380372302 @default.
• W3195196637 hasRelatedWork W2346906994 @default.
• W3195196637 hasVolume "13" @default.
• W3195196637 isParatext "false" @default.

• next