Results 31 to 40 of about 73,182 (264)
Analysis of Tool Wear in GH4169 Material Milling Process
Lubricants, 2023 Nickel-based superalloy GH4169 is a material with strong mechanical properties and is difficult to process. In order to reduce tool wear during material processing and improve the workpiece surface processing quality, based on the finite element ...
Xueguang Li +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Havacılık ve Uzay Teknolojileri Dergisi, 2003 The main goal of this work is to study the influence of the tool failure mechanisms and on the tool life. Aiming to achieve this goal, several tool failure mechanisms are explained.
Ufuk Özdemir, Muzaffer Erten
doaj
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
Arthritis Care &Research, EarlyView.Objective Estimating the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information database, including EHRs from approximately ...
Onur Kaya +7 more
wiley +1 more source
Tool wear status recognition based on Mahalanobis distance
The Journal of Engineering, 2019 To improve the reliability of current signal monitoring tool wear status, a method based on Mahalanobis distance to identify tool wear status is proposed. First, the obtained current signal is analysed in time domain, frequency domain and wavelet domain,
Yiqian He, Min Huang, Weiwei Sun
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objectives This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced >1 flare during a 6‐month prospective observational study were included ...
Sarah Stewart +12 more
wiley +1 more source
Micromachines, 2022 Accurate cutting force prediction is crucial in improving machining precision and surface quality in the micro-milling process, in which tool wear and runout are essential factors.
Shuaishuai Gao +3 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objectives This study synthesised the content and reporting completeness of published physical therapist‐led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL and PEDro (until June 2025) for any peer‐reviewed articles/studies describing ...
Daha G Muhammad +5 more
wiley +1 more source