Results 81 to 90 of about 1,003,291 (283)

Characterization of Nitinol Produced by Laser Powder Bed Fusion for Mechanical Metamaterial Applications

open access: yesAdvanced Engineering Materials, EarlyView.
Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek   +5 more
wiley   +1 more source

A new hybrid model of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine for fault diagnosis of gear pump

open access: yesAdvances in Mechanical Engineering, 2020
Gear pump is the key component in hydraulic drive system, and it is very significant to fault diagnosis for gear pump. The combination of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine is proposed for fault
Yan Lu, Zhiping Huang
doaj   +1 more source

Phenomenological and Physically Based Modeling of Flow Stress and Strengthening Mechanism of Inconel 718

open access: yesAdvanced Engineering Materials, EarlyView.
Nickel‐based alloys are widely used in high‐temperature applications due to their excellent mechanical strength and oxidation resistance. However, properties such as high‐temperature strength and pronounced work‐hardening make them difficult to machine.
Soheil Rooein   +2 more
wiley   +1 more source

Towards Emotion Recognition: A Persistent Entropy Application

open access: yes, 2018
Emotion recognition and classification is a very active area of research. In this paper, we present a first approach to emotion classification using persistent entropy and support vector machines. A topology-based model is applied to obtain a single real
A Geron   +17 more
core   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

open access: yesAdvanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa   +9 more
wiley   +1 more source

LINEX Support Vector Machine for Large-Scale Classification

open access: yesIEEE Access, 2019
Traditional soft margin support vector machine usually uses hinge loss to build a classifier with the “maximum-margin” principle. However, C-SVM depends on support vectors causing the loss of data information.
Yue Ma   +3 more
doaj   +1 more source

A Support Vector Machine (SVM) and Speeded Up Robust Features (SURF) for Indonesian Car Licence Plate Identification System [PDF]

open access: yes, 2017
Volume 7 Issue 10 (October ...
Arnia, F. (Fitri)   +2 more
core  

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Creep Properties and Deformation Mechanism of Additively Manufactured NiAl‐CrMo Composites

open access: yesAdvanced Engineering Materials, EarlyView.
Additively manufactured NiAl‐CrMo composites contain numerous interfaces and cell boundaries that control their creep response. At 700°C under high applied stress, creep is dominated by dislocation‐controlled power‐law mechanisms. At 800°C–900°C and lower stresses, creep is primarily diffusion‐controlled along cell boundaries.
Jan Vollhüter   +9 more
wiley   +1 more source

Grey Wolf Optimizes Mixed Parameter Multi-Classification Twin Support Vector Machine

open access: yesJisuanji kexue yu tansuo, 2020
Twin support vector machine (TWSVM) is an efficient binary classification algorithm based on support vector machine (SVM). Since most of the problems in reality are multi-classified, it is very important to extend binary classification twin support ...
ZHOU Guangyue, LI Kewen, LIU Wenying, SU Zhaoxin
doaj   +1 more source

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