Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226359178> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4226359178 endingPage "301" @default.
- W4226359178 startingPage "289" @default.
- W4226359178 abstract "Thin-walled structures, due to their lightweight, have found significant applications in the aerospace industry. For the manufacturing of any component, its surface quality index is of prime importance. A very well-known measure of this surface quality is surface roughness. For a product of high quality, the surface roughness value is often desired to be minimum. However, the machining parameters for the production of such surfaces often rely on the engineer's experience and expertise, which always do not lead to the best possible results. In this study, a neural network was first created for surface roughness estimation, then evolutionary algorithms such as Genetic Algorithm and Particle Swarm Optimization were used to minimize the surface roughness value. During this process, the impact of milling parameters such as rake angle, nose radius, and approach angle on the surface roughness value was also studied with the aid of surface plots of surface roughness developed by taking two parameters at a time and holding the third parameter constant.KeywordsApproach angleArtificial neural networksNose radiusGenetic algorithmParticle Swarm optimizationRake angleSurface roughness" @default.
- W4226359178 created "2022-05-05" @default.
- W4226359178 creator A5028340493 @default.
- W4226359178 creator A5089741577 @default.
- W4226359178 date "2022-01-01" @default.
- W4226359178 modified "2023-09-24" @default.
- W4226359178 title "Comparative Study of Estimated Surface Roughness Using GA and PSO Techniques for Milling of Thin-Walled Structures" @default.
- W4226359178 cites W1979052428 @default.
- W4226359178 cites W1985650249 @default.
- W4226359178 cites W2012863373 @default.
- W4226359178 cites W2121753122 @default.
- W4226359178 cites W2808070842 @default.
- W4226359178 cites W2808956783 @default.
- W4226359178 cites W565456890 @default.
- W4226359178 doi "https://doi.org/10.1007/978-981-16-9952-8_27" @default.
- W4226359178 hasPublicationYear "2022" @default.
- W4226359178 type Work @default.
- W4226359178 citedByCount "0" @default.
- W4226359178 crossrefType "book-chapter" @default.
- W4226359178 hasAuthorship W4226359178A5028340493 @default.
- W4226359178 hasAuthorship W4226359178A5089741577 @default.
- W4226359178 hasConcept C107365816 @default.
- W4226359178 hasConcept C11413529 @default.
- W4226359178 hasConcept C127413603 @default.
- W4226359178 hasConcept C154945302 @default.
- W4226359178 hasConcept C159985019 @default.
- W4226359178 hasConcept C192562407 @default.
- W4226359178 hasConcept C199639397 @default.
- W4226359178 hasConcept C2524010 @default.
- W4226359178 hasConcept C2776799497 @default.
- W4226359178 hasConcept C2778855872 @default.
- W4226359178 hasConcept C2779571069 @default.
- W4226359178 hasConcept C33923547 @default.
- W4226359178 hasConcept C41008148 @default.
- W4226359178 hasConcept C50644808 @default.
- W4226359178 hasConcept C523214423 @default.
- W4226359178 hasConcept C71039073 @default.
- W4226359178 hasConcept C78519656 @default.
- W4226359178 hasConcept C85617194 @default.
- W4226359178 hasConceptScore W4226359178C107365816 @default.
- W4226359178 hasConceptScore W4226359178C11413529 @default.
- W4226359178 hasConceptScore W4226359178C127413603 @default.
- W4226359178 hasConceptScore W4226359178C154945302 @default.
- W4226359178 hasConceptScore W4226359178C159985019 @default.
- W4226359178 hasConceptScore W4226359178C192562407 @default.
- W4226359178 hasConceptScore W4226359178C199639397 @default.
- W4226359178 hasConceptScore W4226359178C2524010 @default.
- W4226359178 hasConceptScore W4226359178C2776799497 @default.
- W4226359178 hasConceptScore W4226359178C2778855872 @default.
- W4226359178 hasConceptScore W4226359178C2779571069 @default.
- W4226359178 hasConceptScore W4226359178C33923547 @default.
- W4226359178 hasConceptScore W4226359178C41008148 @default.
- W4226359178 hasConceptScore W4226359178C50644808 @default.
- W4226359178 hasConceptScore W4226359178C523214423 @default.
- W4226359178 hasConceptScore W4226359178C71039073 @default.
- W4226359178 hasConceptScore W4226359178C78519656 @default.
- W4226359178 hasConceptScore W4226359178C85617194 @default.
- W4226359178 hasLocation W42263591781 @default.
- W4226359178 hasOpenAccess W4226359178 @default.
- W4226359178 hasPrimaryLocation W42263591781 @default.
- W4226359178 hasRelatedWork W1365056 @default.
- W4226359178 hasRelatedWork W16593494 @default.
- W4226359178 hasRelatedWork W16756865 @default.
- W4226359178 hasRelatedWork W24021710 @default.
- W4226359178 hasRelatedWork W30142236 @default.
- W4226359178 hasRelatedWork W32332117 @default.
- W4226359178 hasRelatedWork W34210417 @default.
- W4226359178 hasRelatedWork W4889847 @default.
- W4226359178 hasRelatedWork W9039094 @default.
- W4226359178 hasRelatedWork W35101144 @default.
- W4226359178 isParatext "false" @default.
- W4226359178 isRetracted "false" @default.
- W4226359178 workType "book-chapter" @default.