Results 201 to 210 of about 6,071,763 (407)

Use of Neural Networks in Tool Wear Prediction [PDF]

, 2019
Juraj Kundrík, Marek Kočiško, Martin Pollák, Monika Telíšková, Anna Bašistová, Zdeněk Fiala   +5 more
openalex   +1 more source

Enhanced Mechanical and Electrochemical Properties of Carbon Nanotube Fibers via Embedded Sucrose‐Derived Porous Carbon for Mechanoelectrochemical Energy Harvesting

Advanced Functional Materials, EarlyView.
Sucrose‐derived porous carbon network (SPINE‐C) is formed within CNT fibers via FCCVD, bridging inter‐bundles of CNTs and increasing surface area through introduced microporosity. As a result, both mechanical and electrochemical properties are simultaneously enhanced, leading to a 2.8‐fold increase in the power density of a mechano‐electrochemical ...
Hocheol Gwac, Dong Yeop Lee, Gyu Hyeon Song, Ji Hwan Moon, Jae Myeong Lee, Hyeon Jun Sim, Junki Bang, Youngjin Jeong, Changsoon Choi, Seon Jeong Kim   +9 more
wiley   +1 more source

Experimental Investigation of Tool Wear and Machining Quality of BTA Deep-Hole Drilling in Low-Carbon Alloy Steel SA-5083. [PDF]

Materials (Basel), 2023
Li X, Zhai C, He W, Lu Y, Zhang B.
europepmc   +1 more source

Mechanically Robust Phase‐Change Multiscale‐Architected Metastructures Integrating Asymmetric MXene/T‐CNF Aerogel for Thermal Energy Storage and Electromagnetic Interference Shielding

Advanced Functional Materials, EarlyView.
A multiscale‐architected phase change material (PCM) composite combines latent heat storage, PCM leakage proof, directional thermal conduction, electromagnetic interference (EMI) shielding, and mechanical reinforcement via asymmetric MXene/cellulose aerogel and 3D‐printed metastructures, enabling effective thermal regulation, strong EMI shielding, and ...
Jiheon Kim, Myounggi Hong, Donghyun Lee, Yong Choi, Jaemin Lee, Jeongwoo Lee, Sohyung Jiong, Xinqi Chen, Byungseok Seo, Wonjoon Choi   +9 more
wiley   +1 more source

Machining Micro-Error Compensation Methods for External Turning Tool Wear of CNC Machines. [PDF]

Micromachines (Basel)
Zhang H, Lu T, Xia Z, Zhang Z, Zhu J.
europepmc   +1 more source

Tool Wear Mechanism and Grinding Performance for Different Cooling-Lubrication Modes in Grinding of Nickel-Based Superalloys. [PDF]

Materials (Basel), 2023
Liang C, Gong Y, Zhou L, Qi Y, Zhang H, Zhao J.   +5 more
europepmc   +1 more source

Wear Characteristics of the Sub-Aperture Tools and Material Removal Rate in Precision Grinding with Loose Abrasives

, 2007
H. Cheng, Hon-Yuen Tam, Yazhen Gao, Yong Bo Wu, Y. Wang   +4 more
openalex   +1 more source

Wafer‐Scale Integration of α‐quartz Thin Films toward Super High Frequency Piezoelectric bioNEMS for Chikungunya Virus Detection

Advanced Functional Materials, EarlyView.
Epitaxial piezoelectric α‐quartz/Si BioNEMS sensors, made using soft chemistry, effectively detect the Chikungunya virus. They have a mass sensitivity of 205 pg Hz−1 in liquid and can detect the virus at a limit of 9 ng mL−1. This development enables high‐frequency mass devices for point‐of‐care testing in healthcare and other electronic applications ...
Raissa Rathar, Sijie Ding, David Sanchez‐Fuentes, Claire Jolly, Charlotte André‐Arpin, Rudy Desgarceaux, Nicolas Guillaume, Gustavo Ardila, Ricardo Garcia‐Bermejo, Jaume Gazquez, Sergi Plana‐Ruiz, Laura Picas, Adrian Carretero‐Genevrier   +12 more
wiley   +1 more source

Machining Accurate Deep Curved Forms on Tungsten Carbide-Cobalt (WC-Co) Eliminating Tool Wear in the Electrical Discharge Turning Operation. [PDF]

Micromachines (Basel)
Hadad M, Soleymani M, Alinaghizadeh A.
europepmc   +1 more source

A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation. [PDF]

Entropy (Basel), 2022
Qin Y, Li J, Zhang C, Zhao Q, Ma X.
europepmc   +1 more source