Results 111 to 120 of about 5,320,548 (290)

Tool Wear Prediction in Complex Machining Processes: A Hybrid Residual-Compensated Deep Learning Framework

Lubricants
Accurate tool wear prediction is essential for predictive maintenance in complex machining processes, but non-stationary sensor signals make it difficult for a single model to capture both long-term degradation trends and local transient disturbances ...
Fucong Liu, Faqiang Wen, Baokaidi Tian, Lei Yu, Tianxiang Yu, Min Li, Yixin Geng, Sai Lou   +7 more
doaj   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

A Thermoreversible Gelation Pathway to Plant Cuticle‐Inspired Biopolymer Aerogel Monoliths Based on Network‐Spherulitic Crystal Assemblies

Advanced Materials, EarlyView.
To address functionality limitations in plant‐based and industrially compostable polymer aerogels, this work introduces bio‐inspired aerogels with broadened functionality. Inspired by functional plant tissues, lightweight biopolymer aerogels based on exclusively stereocomplex crystals are fabricated, featuring hierarchically macro‐/meso‐porous ...
Anthony V. Tuccitto, Zeineb Ben Rejeb, Rafaela Aguiar, Nello D. Sansone, Sumaiya Farzana, Isaac Ali, Jun Uk Lee, Daniel J. Davidson, Ailsa K. Edward, Chul B. Park, Patrick C. Lee   +10 more
wiley   +1 more source

An FEM-based approach for tool wear estimation in machining

, 2016
This study presents an FEM-based approach to predict the rate of flank wear evolution for uncoated cemented carbide tools in longitudinal turning processes. This novel approach combines the concept of experimental design and Response Surface Methodology (
Gruber, Hans, Sadik, Ibrahim,, Nyborg, Lars, Nyborg, Lars,, Malakizadi, Amir,, Sadik, Ibrahim, Gruber, Hans,, Malakizadi, Amir   +7 more
core   +1 more source

Fiber‐Format Flexible Linear Electrostatic Motors

Advanced Materials, EarlyView.
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley   +1 more source

Prediction model for wheel profile wear and rolling contact fatigue

, 2011
A lifetime prediction tool for railway wheels and rails should be able to predict both wear and rolling contact fatigue (RCF), which are the two main deterioration phenomena.
R. Enblom, B. Dirks, Enblom, Roger,, Dirks, Babette,   +3 more
core   +1 more source

Development of tool life prediction system for square end-mills based on database of servo motor current value

Journal of Advanced Mechanical Design, Systems, and Manufacturing
Accurate prediction of tool life is crucial for reducing production costs and enhancing quality in the machining process. However, such predictions often rely on empirical knowledge, which may limit inexperienced engineers to reliably obtain accurate ...
Hiroyuki KODAMA, Makoto SUZUKI, Kazuhito OHASHI   +2 more
doaj   +1 more source

Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots

Advanced Materials, EarlyView.
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky, Franz A. Stolpen, Zachariah A. Page, Lillian Chin   +3 more
wiley   +1 more source

Designing an Artificial Neural Network Based Model for Online Prediction of Tool Life in Turning [PDF]

International Journal of Advanced Design and Manufacturing Technology, 2015
Artificial neural network is one of the most robust and reliable methods in online prediction of nonlinear incidents in machining. Tool flank wear as a tool life criterion is an important task which is needed to be predicted during machining processes to
A. Salimiasl, A. Özdemir, I. Safarian
doaj