Results 11 to 20 of about 17,701 (214)

A design of HDPE flexible spline of harmonics gear [PDF]

open access: yesMATEC Web of Conferences, 2018
In a design of a small robot, selecting a servo-motor is the most important method in designing process. Common miniature servo motors for small robots normally use conventional gear train set or planetary gear set.
Chotiprayanakul Pholchai   +2 more
doaj   +1 more source

Constructing Condition Monitoring Model of Harmonic Drive

open access: yesApplied Sciences, 2022
The harmonic drive is an essential industrial component. In industry, the efficient and accurate determination of machine faults has always been a significant problem to be solved.
Jong-Yih Kuo   +4 more
doaj   +1 more source

Study on the Harmonic Loss of Permanent Magnet Toroidal Space Motor for Hybrid Electric Vehicles

open access: yesIEEE Access, 2021
Based on magnetic gear transmission principle, permanent magnet toroidal space motor for hybrid electric vehicles with dual-rotor drive is proposed in this paper, harmonic loss caused by toroidal space relative motion of two rotors is conducted in hybrid
Xin Liu, Hao Feng, Xiaoyuan Wang
doaj   +1 more source

Modeling and Fatigue Characteristic Analysis of the Gear Flexspline of a Harmonic Reducer

open access: yesMathematics, 2022
The failure of harmonic gear drive is mainly caused by the fatigue fracture of flexible wheels and the fatigue damage of flexible bearings. In this paper, the stress sensitivity and fatigue life characteristics of flexible wheels with thin-walled ...
Hexu Yang   +4 more
doaj   +1 more source

Simulation of meshing characteristics of harmonic reducer and experimental verification

open access: yesAdvances in Mechanical Engineering, 2018
This article studies the causes of the time-varying stiffness of harmonic drive gear and the number of meshing teeth and the meshing length under different torques. Multi-pair tooth meshing characterizes the operating process of the harmonic gear reducer.
Jianfeng Ma   +3 more
doaj   +1 more source

A Hybrid Strategy for Profile Measurement of Micro Gear Teeth

open access: yesMicromachines, 2023
A hybrid strategy is proposed to meet the challenge of obtaining the profile of micro gear teeth with a small modulus. Firstly, the contact probe segmentally obtained the falling flank profiles with an auxiliary lifting mechanism to avoid interference ...
Guangyao Huang   +5 more
doaj   +1 more source

New Construction Solutions of Gear Using in Space Vehicle Control Systems

open access: yesApplied Sciences, 2022
Outer space presents construction challenges that are completely different from the terrestrial environment. They should be characterized by high resilience and indefinite durability because there is no possibility of repair during exploitation.
Jacek Pacana   +2 more
doaj   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

open access: yesAdvanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu   +4 more
wiley   +1 more source

Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics

open access: yesAdvanced Science, EarlyView.
Active gear‐based mechanical metamaterials enable simultaneous control of translational and torsional stiffnesses by 30–100×, break shear reciprocity under positive versus negative loads, broadly tune resonant frequencies, and offer programmable dynamic responses.
Xin Fang, Miao Yu, Dianlong Yu, Li Cheng
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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