Results 181 to 190 of about 4,311 (249)

Measurement of Electrical Discharge Machining Oil Quality by Analyzing Variations in the Equivalent Relative Permittivity of the Capacitive Sensor. [PDF]

Sensors (Basel), 2020
Chen SJ, Chen YL, Chang YJ, Chuang DL, Chen YC, Tsui HP, Hwang YR.   +6 more
europepmc   +1 more source

Highly Sensitive Heterojunction‐Gated Phototransistor With Detection Wavelength Ranged From 350 to 1700 Nm

Advanced Science, EarlyView.
This work demonstrates a heterojunction‐gated infrared phototransistor for broadband detection from 350 to 1700 nm. By suppressing defect states on nonpolar (100) facets of large PbS quantum dots via hybrid ligand passivation, the device achieves a room‐temperature detectivity of 5.7 × 1013 Jones at 1650 nm.
Hongkun Duan, Wenyu Zhang, Tao Luo, XiaoLu Xia, Qianxi Yang, Ying Yan, Shengmei Gao, Xitian Yin, Yixiao Niu, Zhiyu Zhao, Jianbing Zhang, Haobin He, Jiang Tang, Ying Wang, Zhiyong Zhang   +14 more
wiley   +1 more source

Electrical discharge machining of parts [PDF]

Politechnical student journal, 2017
openaire   +1 more source

Ultrasoft Yet Tough Multifunctional Organohydrogels Enabled by Molecular Chain Lubrication Strategy for Self‐Powered Wearable Electronics

Advanced Science, EarlyView.
An ultrasoft yet tough organohydrogel (AQGL) with 5800% stretchability and 14.3 kPa modulus is developed via a novel molecular chain lubrication strategy. It features optical transparency, drying/freezing (−40°C) tolerance, antibacterial activity, conductivity, self‐healing, and adhesiveness.
Si Wang, Lin Hu, Mingbo Pu, Mingfeng Xu, Tao Zhou, Hanbing Rao, Xiong Li, Xiaoliang Ma, Gehong Su, Xiangang Luo   +9 more
wiley   +1 more source

Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals

Advanced Science, EarlyView.
Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang, Zixu Guo, Yuxiao Li, Lu Wang, Yu Wu, Darui Sun, Wentao Yan, Yuanyuan Guo, Han Wang, Wei Liu, Ye Tao, Bingbing Zhang   +11 more
wiley   +1 more source

In‐Wheel Piezoelectric DC Power Generator With Zero Resistive Torque

Advanced Science, EarlyView.
In this paper, we present a wheel‐shaped direct‐current piezoelectric generator (DC‐PG) that fundamentally overcomes these constraints by producing phase‐stable DC electricity directly from rolling motion. By embedding this system into suitcase wheels, we demonstrated a fully integrated real‐time location tracking system powered solely by mechanical ...
Hyun Soo Kim, Hyunseok Song, In Woo Oh, Dong‐Gyu Lee, Tae Kyoung Yoon, Jeyeon Lee, Byoung Jin Yoon, So‐Min Song, Iman M. Imani, Seohyun Cho, Seong Jin Kim, Chong‐Yun Kang, Sahn Nahm, Yong Seok Park, Kyung‐Hoon Cho, Jungho Ryu, Jeong Min Baik, Jun Chen, Sunghoon Hur, Hyun‐Cheol Song   +19 more
wiley   +1 more source

Spectra of Electric Discharge Machining

Journal of the Japan Society of Precision Engineering, 1958
M. MOTOKI, S. YAMAZOE, M. MIWA, Y. OTANI
openaire   +2 more sources

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

Advanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu, Xiaoming Shi, Zhaochen Xi, Shouzhe Dong, Changqing Guo, Rongzhen Gao, Letao Yang, Jing Wang, Di Zhou, Houbing Huang   +9 more
wiley   +1 more source

A systematic review on powder mixed electrical discharge machining. [PDF]

Heliyon, 2019
Joshi AY, Joshi AY.
europepmc   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source