Results 51 to 60 of about 5,830,632 (387)
Wear behavior of different coated tools in MQL-assisted milling of magnesium-based rare-earth alloys
Journal of Materials Research and Technology, 2023 One of the most important and often employed indicators for describing machinability and machining quality is tool wear. While flank wear is commonly used to gauge the extent of a worn scar, tool wear is characterized more by its shape than its size.
Linfeng Li +4 more
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Lubricants, 2022 Tool wear behavior is mainly influenced by cutting parameters for a given tool–workpiece pair and cutting process. Rapid tool wear increases production costs and deteriorates machining quality in manufacturing industries.
Delin Liu, Zhanqiang Liu, Bing Wang
doaj +1 more source
Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller +12 more
wiley +1 more source
Application of Cryogenic Treatment to Extend the Life of the TiAlN-Coated Tungsten Carbide Milling Cutter [PDF]
, 2020 Cutting tools are important to the manufacturing industry since they will affect production efficiency and product quality. Cryogenic treatment can improve the material properties by decreasing residual stress, stabilizing dimensional accuracy, and ...
Hsiung J. -C., Kung H. -K., Wu J. -H.
core +1 more source
High resolution observations of friction-induced oxide and its interaction with the worn surface [PDF]
, 2002 A detailed transmission electron microscopy study of oxide and oxygen-containing phase formation during the sliding wear of metals, composites and coatings is provided.
Bedolla-Jacuinde, A. +6 more
core +1 more source
IEEE Access, 2021 Reliable and precise multi-step-ahead tool wear state prediction is significant to modern industries for maintaining part quality and reducing cost. This study proposes a Clustering Feature-based Recurrent Fuzzy Neural Network (CFRFNN) for tool wear ...
Jiachen Yao, Baochun Lu, Junli Zhang
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Cognitive disorders are common in older persons with seizures (PWS). Cognitive disorders are often associated with impaired Instrumental Activities of Daily Living (IADLs). However, the effects of seizures on IADLs remain unexplored.
Ifrah Zawar +5 more
wiley +1 more source
Ageism in Rheumatology: The Health Care Professional's Perspective
Arthritis Care &Research, EarlyView.Objective Ageism (age‐based stereotypes, prejudice, or discrimination) is prevalent and linked to prolonged disability and reduced lifespan in older adults. Little is known about ageism within rheumatology. This study explores the health care professional's (HCP) perception of the care of older adults and how ageist attitudes or perspectives may impact
Aaron P. Smith +4 more
wiley +1 more source
Modelling and simulation on the tool wear in nanometric cutting [PDF]
, 2003 Tool wear is a significant factor affecting the machined surface quality. In this paper, a Molecular Dynamics (MD) simulation approach is proposed to model the wear of the diamond tool in nanometric cutting. It includes the effects of the cutting heat on
Cheng, K, Holt, R, Luo, X
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Delamination-fretting wear failure evaluation at HAp-Ti-6Al-4V interface of artificial hip implant [PDF]
, 2021 Osteoarthritis due to rapid aging population in Malaysia and developed countries leads to an extensive application of titanium artificial hip implants. However, titanium alloys (Ti-6Al-4V) cannot directly adhere with human bone due to bio-compatibility ...
Muniandy, Nagentrau
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