Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023273396> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2023273396 endingPage "487" @default.
- W2023273396 startingPage "478" @default.
- W2023273396 abstract "To automate a welding process, which is the present trend in fabrication industry, it is essential that mathematical models have to be developed to relate the process variables to the weld bead parameters. Because of its high reliability, deep penetration, smooth finish and high productivity, submerged arc welding (SAW) has become a natural choice in industries for fabrication, especially for welding of pipes. Mathematical models have been developed for SAW of pipes using five level factorial techniques to predict three critical dimensions of the weld bead geometry and shape relationships. The models developed have been checked for their adequacy and significance by using the F-test and the t-test, respectively. Main and interaction effects of the process variables on bead geometry and shape factors are presented in graphical form and using which not only the prediction of important weld bead dimensions and shape relationships but also the controlling of the weld bead quality by selecting appropriate process parameter values are possible." @default.
- W2023273396 created "2016-06-24" @default.
- W2023273396 creator A5001779926 @default.
- W2023273396 creator A5044586083 @default.
- W2023273396 date "2005-10-01" @default.
- W2023273396 modified "2023-09-30" @default.
- W2023273396 title "Prediction and control of weld bead geometry and shape relationships in submerged arc welding of pipes" @default.
- W2023273396 cites W1963565291 @default.
- W2023273396 doi "https://doi.org/10.1016/j.jmatprotec.2005.03.001" @default.
- W2023273396 hasPublicationYear "2005" @default.
- W2023273396 type Work @default.
- W2023273396 sameAs 2023273396 @default.
- W2023273396 citedByCount "155" @default.
- W2023273396 countsByYear W20232733962012 @default.
- W2023273396 countsByYear W20232733962013 @default.
- W2023273396 countsByYear W20232733962014 @default.
- W2023273396 countsByYear W20232733962015 @default.
- W2023273396 countsByYear W20232733962016 @default.
- W2023273396 countsByYear W20232733962017 @default.
- W2023273396 countsByYear W20232733962018 @default.
- W2023273396 countsByYear W20232733962019 @default.
- W2023273396 countsByYear W20232733962020 @default.
- W2023273396 countsByYear W20232733962021 @default.
- W2023273396 countsByYear W20232733962022 @default.
- W2023273396 countsByYear W20232733962023 @default.
- W2023273396 crossrefType "journal-article" @default.
- W2023273396 hasAuthorship W2023273396A5001779926 @default.
- W2023273396 hasAuthorship W2023273396A5044586083 @default.
- W2023273396 hasConcept C111919701 @default.
- W2023273396 hasConcept C127413603 @default.
- W2023273396 hasConcept C136525101 @default.
- W2023273396 hasConcept C142724271 @default.
- W2023273396 hasConcept C192562407 @default.
- W2023273396 hasConcept C19474535 @default.
- W2023273396 hasConcept C199639397 @default.
- W2023273396 hasConcept C204787440 @default.
- W2023273396 hasConcept C20480867 @default.
- W2023273396 hasConcept C41008148 @default.
- W2023273396 hasConcept C54856674 @default.
- W2023273396 hasConcept C71924100 @default.
- W2023273396 hasConcept C78519656 @default.
- W2023273396 hasConcept C98045186 @default.
- W2023273396 hasConceptScore W2023273396C111919701 @default.
- W2023273396 hasConceptScore W2023273396C127413603 @default.
- W2023273396 hasConceptScore W2023273396C136525101 @default.
- W2023273396 hasConceptScore W2023273396C142724271 @default.
- W2023273396 hasConceptScore W2023273396C192562407 @default.
- W2023273396 hasConceptScore W2023273396C19474535 @default.
- W2023273396 hasConceptScore W2023273396C199639397 @default.
- W2023273396 hasConceptScore W2023273396C204787440 @default.
- W2023273396 hasConceptScore W2023273396C20480867 @default.
- W2023273396 hasConceptScore W2023273396C41008148 @default.
- W2023273396 hasConceptScore W2023273396C54856674 @default.
- W2023273396 hasConceptScore W2023273396C71924100 @default.
- W2023273396 hasConceptScore W2023273396C78519656 @default.
- W2023273396 hasConceptScore W2023273396C98045186 @default.
- W2023273396 hasIssue "3" @default.
- W2023273396 hasLocation W20232733961 @default.
- W2023273396 hasOpenAccess W2023273396 @default.
- W2023273396 hasPrimaryLocation W20232733961 @default.
- W2023273396 hasRelatedWork W2057276112 @default.
- W2023273396 hasRelatedWork W2335603407 @default.
- W2023273396 hasRelatedWork W2353401782 @default.
- W2023273396 hasRelatedWork W2492794779 @default.
- W2023273396 hasRelatedWork W2779505835 @default.
- W2023273396 hasRelatedWork W2887777039 @default.
- W2023273396 hasRelatedWork W292616443 @default.
- W2023273396 hasRelatedWork W2961891667 @default.
- W2023273396 hasRelatedWork W4250545169 @default.
- W2023273396 hasRelatedWork W656661433 @default.
- W2023273396 hasVolume "168" @default.
- W2023273396 isParatext "false" @default.
- W2023273396 isRetracted "false" @default.
- W2023273396 magId "2023273396" @default.
- W2023273396 workType "article" @default.