Matches in SemOpenAlex for { <https://semopenalex.org/work/W1612742583> ?p ?o ?g. }
- W1612742583 endingPage "3551" @default.
- W1612742583 startingPage "3545" @default.
- W1612742583 abstract "Nanofluids are colloidal mixtures of nanometre-sized particles (1-100 nm) in a base fluid. The mixing of nanoparticles with base fluid may alter the thermo-physical properties of fluids as the nanoparticles possess higher thermal conductivity than base fluids. Therefore, nanoparticle enhanced cutting fluids have recently attracted the attention of researchers. This paper presents a summary of some important published research works on the application of nanoparticles enriched cutting fluids in different machining processes: milling, drilling, grinding and turning. Further, this review article discusses the influence of different types of nanofluids on machining performance in various machining processes. From literature review, it has been found that in nanofluid machining, higher nanoparticle concentration yields better surface finish and more lubrication compared to dry machining and conventional cutting fluid machining. Furthermore, nanofluid also reduces the cutting force, power consumption, tool wear, nodal temperature and friction coefficient. Authors have also identified the research gaps for further research." @default.
- W1612742583 created "2016-06-24" @default.
- W1612742583 creator A5064855384 @default.
- W1612742583 creator A5072220301 @default.
- W1612742583 creator A5075749203 @default.
- W1612742583 date "2015-01-01" @default.
- W1612742583 modified "2023-10-05" @default.
- W1612742583 title "Improved Machining Performance with Nanoparticle Enriched Cutting Fluids under Minimum Quantity Lubrication (MQL) Technique: A Review" @default.
- W1612742583 cites W1967969097 @default.
- W1612742583 cites W1968462294 @default.
- W1612742583 cites W1970521827 @default.
- W1612742583 cites W1972067347 @default.
- W1612742583 cites W1975468126 @default.
- W1612742583 cites W1978969755 @default.
- W1612742583 cites W1981088245 @default.
- W1612742583 cites W1985877704 @default.
- W1612742583 cites W1991200210 @default.
- W1612742583 cites W1997712789 @default.
- W1612742583 cites W2011339767 @default.
- W1612742583 cites W2014604498 @default.
- W1612742583 cites W2016148754 @default.
- W1612742583 cites W2028870574 @default.
- W1612742583 cites W2029875828 @default.
- W1612742583 cites W2031268735 @default.
- W1612742583 cites W2032908964 @default.
- W1612742583 cites W2034175009 @default.
- W1612742583 cites W2039285069 @default.
- W1612742583 cites W2045506000 @default.
- W1612742583 cites W2046288791 @default.
- W1612742583 cites W2046443475 @default.
- W1612742583 cites W2059142282 @default.
- W1612742583 cites W2059817461 @default.
- W1612742583 cites W2062409798 @default.
- W1612742583 cites W2064898442 @default.
- W1612742583 cites W2070005089 @default.
- W1612742583 cites W2070614617 @default.
- W1612742583 cites W2072096676 @default.
- W1612742583 cites W2078165507 @default.
- W1612742583 cites W2086680940 @default.
- W1612742583 cites W2087757322 @default.
- W1612742583 cites W2088247792 @default.
- W1612742583 cites W2094515433 @default.
- W1612742583 cites W2098804566 @default.
- W1612742583 cites W2104894156 @default.
- W1612742583 cites W2107733955 @default.
- W1612742583 cites W2113622515 @default.
- W1612742583 cites W2129260138 @default.
- W1612742583 cites W2133599163 @default.
- W1612742583 cites W2145498317 @default.
- W1612742583 cites W2147638296 @default.
- W1612742583 cites W2149826537 @default.
- W1612742583 cites W2153246818 @default.
- W1612742583 cites W2576384185 @default.
- W1612742583 doi "https://doi.org/10.1016/j.matpr.2015.07.066" @default.
- W1612742583 hasPublicationYear "2015" @default.
- W1612742583 type Work @default.
- W1612742583 sameAs 1612742583 @default.
- W1612742583 citedByCount "31" @default.
- W1612742583 countsByYear W16127425832016 @default.
- W1612742583 countsByYear W16127425832017 @default.
- W1612742583 countsByYear W16127425832018 @default.
- W1612742583 countsByYear W16127425832019 @default.
- W1612742583 countsByYear W16127425832020 @default.
- W1612742583 countsByYear W16127425832021 @default.
- W1612742583 countsByYear W16127425832022 @default.
- W1612742583 countsByYear W16127425832023 @default.
- W1612742583 crossrefType "journal-article" @default.
- W1612742583 hasAuthorship W1612742583A5064855384 @default.
- W1612742583 hasAuthorship W1612742583A5072220301 @default.
- W1612742583 hasAuthorship W1612742583A5075749203 @default.
- W1612742583 hasConcept C127413603 @default.
- W1612742583 hasConcept C155672457 @default.
- W1612742583 hasConcept C159985019 @default.
- W1612742583 hasConcept C171250308 @default.
- W1612742583 hasConcept C184608416 @default.
- W1612742583 hasConcept C191897082 @default.
- W1612742583 hasConcept C192562407 @default.
- W1612742583 hasConcept C21946209 @default.
- W1612742583 hasConcept C2777571299 @default.
- W1612742583 hasConcept C2777731942 @default.
- W1612742583 hasConcept C523214423 @default.
- W1612742583 hasConcept C78519656 @default.
- W1612742583 hasConcept C8567792 @default.
- W1612742583 hasConcept C97346530 @default.
- W1612742583 hasConceptScore W1612742583C127413603 @default.
- W1612742583 hasConceptScore W1612742583C155672457 @default.
- W1612742583 hasConceptScore W1612742583C159985019 @default.
- W1612742583 hasConceptScore W1612742583C171250308 @default.
- W1612742583 hasConceptScore W1612742583C184608416 @default.
- W1612742583 hasConceptScore W1612742583C191897082 @default.
- W1612742583 hasConceptScore W1612742583C192562407 @default.
- W1612742583 hasConceptScore W1612742583C21946209 @default.
- W1612742583 hasConceptScore W1612742583C2777571299 @default.
- W1612742583 hasConceptScore W1612742583C2777731942 @default.
- W1612742583 hasConceptScore W1612742583C523214423 @default.
- W1612742583 hasConceptScore W1612742583C78519656 @default.
- W1612742583 hasConceptScore W1612742583C8567792 @default.
- W1612742583 hasConceptScore W1612742583C97346530 @default.