Results 61 to 70 of about 6,071,763 (407)
Characteristics of Cerebral Palsy in the Midwestern US
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cerebral palsy (CP) is the most common lifelong motor disability worldwide. Yet, data is limited on how CP manifests in the US. Our objective was to characterize and determine factors affecting functional outcomes in a large population of young people with CP in the Midwestern US.
Susie Kim +6 more
wiley +1 more source
An Influence of Parameters of Micro-electrical Discharge Machining on Wear of Tool Electrode
Archive of Mechanical Engineering, 2017 To achieve better precision of features generated using the micro-electrical discharge machining (micro-EDM), there is a necessity to minimize the wear of the tool electrode, because a change in the dimensions of the electrode is reflected directly or ...
Puthumana Govindan
doaj +1 more source
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
SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas +18 more
wiley +1 more source
Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition
MATEC Web of Conferences, 2016 Metal cutting process is a nonlinear system to obtain the tool wear state and chaos theory are introduced tool wear and feature extraction of acoustic emission signal analysis and classification of tool wear state and wear prediction based on support ...
Guan Shan, Pang Hongyang, Kang Zhenxing
doaj +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
Hard turning with variable micro-geometry PcBN tools [PDF]
, 2008 Cataloged from PDF version of article.This paper presents investigations on hard turning with variable edge design PcBN inserts. Turning of hardened AISI 4340 steel with uniform and variable edge design PcBN inserts is conducted, forces and tool wear ...
Karpat, Y., Ozel, T., Srivastava, A.
core +1 more source
Quantitative Assessment of Upper Limb Ataxia Using a Virtual Reality‐Based Evaluation System
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cerebellar ataxia impairs coordination and balance, reducing quality of life. Conventional clinical scales, including the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS), are widely used to assess ataxia but are limited by subjectivity and inter‐rater variability ...
Masayuki Sato +5 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
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