Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384937224> ?p ?o ?g. }
- W4384937224 endingPage "105173" @default.
- W4384937224 startingPage "105173" @default.
- W4384937224 abstract "Nano-scale Multi-layered Composite Coatings(Nano scale MLCC) offer potential benefits for cutting tool performance. Such coatings can be designed to improve tool durability and cutting efficiency by providing additional wear protection and improved heat dissipation. The Nano coatings can also be tailored to reduce friction, which can enhance productivity and reduce tool wear. The unique Nano-scale topography of MLCC helps to reduce the contact area between the cutting tool and the workpiece, thus reducing friction and heat. The coatings also include specific additive components that enhance the properties of the coating, such as corrosion resistance, lubricant retention, and improved thermal stability.This critical review explores the potential of Nano-scale multi-layered-composite coatings for improving the performance of cutting tools. The literature in this field is reviewed and discussed with respect to the performance benefits and challenges associated with the implementation of these nanotechnology coatings. The latest progress in nanofabrication, nanomaterials, and other technologies are discussed in relation to their ability to provide new and improved cutting tool applications. The review summarizes the current state of the art on Nano-scale multi-layered-composite coatings and their influence on cutting tool performance, with particular focus on machining productivity, tool life, cutting forces and wear rates. Recommendations are provided on which Nano-scale coatings may best fit the demands of particular machining operations, and on future research directions in this field. The review also discusses the challenges and future advancements of Nano-scale coatings and other methods for improving cutting tool performance. In conclusion, this review provides a comprehensive insight into the future potential of MLCC for cutting tool performance enhancement." @default.
- W4384937224 created "2023-07-22" @default.
- W4384937224 creator A5006565517 @default.
- W4384937224 creator A5007191840 @default.
- W4384937224 creator A5010183620 @default.
- W4384937224 creator A5013705728 @default.
- W4384937224 creator A5019814675 @default.
- W4384937224 creator A5026732077 @default.
- W4384937224 creator A5032409079 @default.
- W4384937224 creator A5032888826 @default.
- W4384937224 creator A5050154528 @default.
- W4384937224 creator A5054595396 @default.
- W4384937224 creator A5069681794 @default.
- W4384937224 creator A5071737259 @default.
- W4384937224 date "2023-10-01" @default.
- W4384937224 modified "2023-09-25" @default.
- W4384937224 title "Exploring the potential of nano technology: A assessment of nano-scale multi-layered-composite coatings for cutting tool performance" @default.
- W4384937224 cites W1973122563 @default.
- W4384937224 cites W2065766317 @default.
- W4384937224 cites W2524087644 @default.
- W4384937224 cites W2991151648 @default.
- W4384937224 cites W2998134001 @default.
- W4384937224 cites W3011814606 @default.
- W4384937224 cites W3086199004 @default.
- W4384937224 cites W3088251752 @default.
- W4384937224 cites W3092218908 @default.
- W4384937224 cites W3102287037 @default.
- W4384937224 cites W3102817755 @default.
- W4384937224 cites W3124500755 @default.
- W4384937224 cites W3130249071 @default.
- W4384937224 cites W3133237007 @default.
- W4384937224 cites W3137151256 @default.
- W4384937224 cites W3139261504 @default.
- W4384937224 cites W3157326793 @default.
- W4384937224 cites W3165198459 @default.
- W4384937224 cites W3177132920 @default.
- W4384937224 cites W3194362731 @default.
- W4384937224 cites W3199751092 @default.
- W4384937224 cites W3203560531 @default.
- W4384937224 cites W3205084030 @default.
- W4384937224 cites W3210495035 @default.
- W4384937224 cites W4210415605 @default.
- W4384937224 cites W4212918739 @default.
- W4384937224 cites W4223583137 @default.
- W4384937224 cites W4224218314 @default.
- W4384937224 cites W4224300886 @default.
- W4384937224 cites W4229028963 @default.
- W4384937224 cites W4280491256 @default.
- W4384937224 cites W4280607373 @default.
- W4384937224 cites W4281737972 @default.
- W4384937224 cites W4290704584 @default.
- W4384937224 cites W4292263887 @default.
- W4384937224 cites W4296809025 @default.
- W4384937224 cites W4304589210 @default.
- W4384937224 cites W4309003047 @default.
- W4384937224 cites W4309855270 @default.
- W4384937224 cites W4311079463 @default.
- W4384937224 cites W4315786031 @default.
- W4384937224 cites W4316259463 @default.
- W4384937224 cites W4318570316 @default.
- W4384937224 cites W4319844114 @default.
- W4384937224 cites W4376114615 @default.
- W4384937224 cites W3118539407 @default.
- W4384937224 doi "https://doi.org/10.1016/j.arabjc.2023.105173" @default.
- W4384937224 hasPublicationYear "2023" @default.
- W4384937224 type Work @default.
- W4384937224 citedByCount "0" @default.
- W4384937224 crossrefType "journal-article" @default.
- W4384937224 hasAuthorship W4384937224A5006565517 @default.
- W4384937224 hasAuthorship W4384937224A5007191840 @default.
- W4384937224 hasAuthorship W4384937224A5010183620 @default.
- W4384937224 hasAuthorship W4384937224A5013705728 @default.
- W4384937224 hasAuthorship W4384937224A5019814675 @default.
- W4384937224 hasAuthorship W4384937224A5026732077 @default.
- W4384937224 hasAuthorship W4384937224A5032409079 @default.
- W4384937224 hasAuthorship W4384937224A5032888826 @default.
- W4384937224 hasAuthorship W4384937224A5050154528 @default.
- W4384937224 hasAuthorship W4384937224A5054595396 @default.
- W4384937224 hasAuthorship W4384937224A5069681794 @default.
- W4384937224 hasAuthorship W4384937224A5071737259 @default.
- W4384937224 hasBestOaLocation W43849372241 @default.
- W4384937224 hasConcept C104304963 @default.
- W4384937224 hasConcept C104779481 @default.
- W4384937224 hasConcept C121332964 @default.
- W4384937224 hasConcept C127413603 @default.
- W4384937224 hasConcept C159985019 @default.
- W4384937224 hasConcept C171250308 @default.
- W4384937224 hasConcept C191897082 @default.
- W4384937224 hasConcept C192562407 @default.
- W4384937224 hasConcept C2776450708 @default.
- W4384937224 hasConcept C2778755073 @default.
- W4384937224 hasConcept C2780357685 @default.
- W4384937224 hasConcept C2781448156 @default.
- W4384937224 hasConcept C41008148 @default.
- W4384937224 hasConcept C523214423 @default.
- W4384937224 hasConcept C62520636 @default.
- W4384937224 hasConcept C78519656 @default.
- W4384937224 hasConceptScore W4384937224C104304963 @default.