Results 251 to 260 of about 6,071,763 (407)

Tool wear prediction based on LSTM-Transformer model

J. F. Qiu, Jiang Liu, 中山大学 中山眼科中心科技处, Zhiwei Gao, Xi Wu   +4 more
openalex   +1 more source

Durable Physically Mixed Microporous and Mesoporous MOFs/Nanofiber Aerogel 3D Composites for Effective Toxic Gas Capture and Organophosphonate Detoxification

Advanced Functional Materials, EarlyView.
Ultralight 3D nanofibrous aerogels embedded with metal‐organic frameworks effectively capture and neutralize toxic gases and organophosphonates. Incorporating mesoporous UiO‐66‐NH2 and HKUST‐1 into PAN/PVP fibers enables high MOF loading while maintaining mechanical strength and structural stability.
Mai O. Abdelmigeed, Muhammed Ziauddin Ahmad Ebrahim, John J. Mahle, Brandon B. Blount, Gregory W. Peterson, Saad A. Khan, Gregory N. Parsons   +6 more
wiley   +1 more source

DeepTool: A deep learning framework for tool wear onset detection and remaining useful life prediction. [PDF]

MethodsX
Kamat P, Kumar S, Kotecha K.
europepmc   +1 more source

Cutting process in non-step drilling of deep hole with tool wear progress

Shoichi Tamura, Takashi Matsumura
openalex   +1 more source

Nanomaterial‐Integrated Fiber Neural Probes for Deep Brain Monitoring and Modulation: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng, Yang Li, Muhammad Fayyaz Kashif, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello   +5 more
wiley   +1 more source

Characterizing the tool wear morphologies and life in milling A520-10%SiC under various lubrication and cutting conditions. [PDF]

Sci Rep
Saberi M, Niknam SA, Hashemi R.
europepmc   +1 more source

Effects of adhering layer on tool wear progression in machining of free-cutting stainless steels

, 1997
Dong Zhang
openalex   +1 more source

Tool Wear Prediction Based on Adaptive Feature and Temporal Attention with Long Short-Term Memory Model

Wanzhen Wang, Sze Song Ngu, Miaomiao Xin, Rong Liu, Qian Wang, Man Qiu, Shengqun Zhang   +6 more
openalex   +1 more source

Cutting Tool Wear Monitoring

, 2013
openaire   +2 more sources

Tunable and Recyclable Piezoelectric Biomaterials via Ion‐Directed Guanine‐Quadruplex Assembly

Advanced Functional Materials, EarlyView.
Guanine‐quadruplex (GQ) assemblies, formed via ion‐mediated self‐assembly of amphiphilic guanine derivatives, are introduced as tunable and recyclable piezoelectric biomaterials. Distinct alkali ions induce unique dipole configurations and piezoelectric outputs, with K⁺ yielding the highest performance.
Seungho Lee, Sangyun Na, Yumi Cho, Gaeun Park, Seung Hak Oh, Jaejun Kim, Byoung‐Ki Cho, Sang Kyu Kwak, Ja‐Hyoung Ryu, Hyunhyub Ko   +9 more
wiley   +1 more source