FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226404242> ?p ?o ?g. }

• W4226404242 endingPage "22" @default.
• W4226404242 startingPage "5" @default.
• W4226404242 abstract "Abstract Due to the numerous challenges faced during the dissimilar welding, choosing the right process parameters and their optimization yields better results. In this context, the current investigation is focused on the optimization of process parameters. Taguchi’s L 9 orthogonal array was selected to carry out the experimental investigations. The welded samples were tested for shear strength, and the results were analysed using Taguchi’s S/N ratio analysis with “larger the better” criteria. Log-linear regression analysis was applied to formulate an empirical correlation between the process parameters and shear strength. According to S/N ratio analysis, the tool rotational speed of 800 rpm, welding speed of 20 mm/min and a penetration depth of 4.1 mm are the optimized parameters that achieve high joint strength. The achieved joint strength was 3.46 kN that is 70% of the base aluminium metal. It was noticed from the Analysis of variance of the regression model that penetration depth and tool rotational speed are the significant contributors with p-values less than 0.5. Confirmation tests show that the error between the predicted and calculated shear strength is 2.06% which is considered acceptable. R 2 and adjusted R 2 values of the model with a standard error of 0.076 show that the developed model is statistically significant." @default.
• W4226404242 created "2022-05-05" @default.
• W4226404242 creator A5061905125 @default.
• W4226404242 creator A5066651358 @default.
• W4226404242 creator A5089516452 @default.
• W4226404242 date "2022-03-01" @default.
• W4226404242 modified "2023-09-26" @default.
• W4226404242 title "Mathematical Model for Friction Stir Lap Welded AA5052 and SS304 Joints and Process Parameters Optimization for High Joint Strength" @default.
• W4226404242 cites W1976335333 @default.
• W4226404242 cites W1998407956 @default.
• W4226404242 cites W2012331567 @default.
• W4226404242 cites W2026297873 @default.
• W4226404242 cites W2049829741 @default.
• W4226404242 cites W2066925537 @default.
• W4226404242 cites W2073886084 @default.
• W4226404242 cites W2075278946 @default.
• W4226404242 cites W2076846615 @default.
• W4226404242 cites W2079951043 @default.
• W4226404242 cites W2083087518 @default.
• W4226404242 cites W2124377444 @default.
• W4226404242 cites W2137671110 @default.
• W4226404242 cites W2149738921 @default.
• W4226404242 cites W2772214420 @default.
• W4226404242 cites W2796034345 @default.
• W4226404242 cites W2887723293 @default.
• W4226404242 cites W2890636936 @default.
• W4226404242 cites W2907979625 @default.
• W4226404242 cites W2908795706 @default.
• W4226404242 cites W2912310839 @default.
• W4226404242 cites W2942831131 @default.
• W4226404242 cites W2981329289 @default.
• W4226404242 cites W2981645002 @default.
• W4226404242 cites W2990231597 @default.
• W4226404242 cites W2993053038 @default.
• W4226404242 cites W3009377120 @default.
• W4226404242 cites W3012322319 @default.
• W4226404242 cites W3035497409 @default.
• W4226404242 cites W3038174666 @default.
• W4226404242 cites W3048179479 @default.
• W4226404242 cites W3089004411 @default.
• W4226404242 cites W3096524526 @default.
• W4226404242 cites W3204788961 @default.
• W4226404242 doi "https://doi.org/10.2478/adms-2022-0001" @default.
• W4226404242 hasPublicationYear "2022" @default.
• W4226404242 type Work @default.
• W4226404242 citedByCount "3" @default.
• W4226404242 countsByYear W42264042422022 @default.
• W4226404242 countsByYear W42264042422023 @default.
• W4226404242 crossrefType "journal-article" @default.
• W4226404242 hasAuthorship W4226404242A5061905125 @default.
• W4226404242 hasAuthorship W4226404242A5066651358 @default.
• W4226404242 hasAuthorship W4226404242A5089516452 @default.
• W4226404242 hasBestOaLocation W42264042421 @default.
• W4226404242 hasConcept C105795698 @default.
• W4226404242 hasConcept C120665830 @default.
• W4226404242 hasConcept C121332964 @default.
• W4226404242 hasConcept C127413603 @default.
• W4226404242 hasConcept C127893833 @default.
• W4226404242 hasConcept C151730666 @default.
• W4226404242 hasConcept C152877465 @default.
• W4226404242 hasConcept C159390177 @default.
• W4226404242 hasConcept C159750122 @default.
• W4226404242 hasConcept C159985019 @default.
• W4226404242 hasConcept C18555067 @default.
• W4226404242 hasConcept C192562407 @default.
• W4226404242 hasConcept C193493375 @default.
• W4226404242 hasConcept C19474535 @default.
• W4226404242 hasConcept C2779343474 @default.
• W4226404242 hasConcept C33923547 @default.
• W4226404242 hasConcept C39432304 @default.
• W4226404242 hasConcept C42632107 @default.
• W4226404242 hasConcept C48921125 @default.
• W4226404242 hasConcept C513153333 @default.
• W4226404242 hasConcept C66938386 @default.
• W4226404242 hasConcept C78519656 @default.
• W4226404242 hasConcept C81063470 @default.
• W4226404242 hasConcept C83469408 @default.
• W4226404242 hasConcept C86803240 @default.
• W4226404242 hasConcept C96035792 @default.
• W4226404242 hasConceptScore W4226404242C105795698 @default.
• W4226404242 hasConceptScore W4226404242C120665830 @default.
• W4226404242 hasConceptScore W4226404242C121332964 @default.
• W4226404242 hasConceptScore W4226404242C127413603 @default.
• W4226404242 hasConceptScore W4226404242C127893833 @default.
• W4226404242 hasConceptScore W4226404242C151730666 @default.
• W4226404242 hasConceptScore W4226404242C152877465 @default.
• W4226404242 hasConceptScore W4226404242C159390177 @default.
• W4226404242 hasConceptScore W4226404242C159750122 @default.
• W4226404242 hasConceptScore W4226404242C159985019 @default.
• W4226404242 hasConceptScore W4226404242C18555067 @default.
• W4226404242 hasConceptScore W4226404242C192562407 @default.
• W4226404242 hasConceptScore W4226404242C193493375 @default.
• W4226404242 hasConceptScore W4226404242C19474535 @default.
• W4226404242 hasConceptScore W4226404242C2779343474 @default.
• W4226404242 hasConceptScore W4226404242C33923547 @default.
• W4226404242 hasConceptScore W4226404242C39432304 @default.
• W4226404242 hasConceptScore W4226404242C42632107 @default.
• W4226404242 hasConceptScore W4226404242C48921125 @default.

• next