Results 71 to 80 of about 168,644 (264)

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Economic and operational implications of corrective and preventive maintenance in stochastic multi-component systems

Discover Sustainability
The design of effective maintenance policies plays a central role in determining the economic efficiency and operational reliability of complex multi-component systems subject to stochastic degradation and failure.
Khamiss Cheikh, EL Mostapha Boudi
doaj   +1 more source

Optimization of the maintenance planning of a multi-component system

MATEC Web of Conferences, 2018
The vehicle’s maintenance costs, uptime and security are the most important goals for owners and transport companies, but these goals are conflictual and the major cause for delays is related to the maintenance policies.
Mallouk Issam, Abou El Majd Badr, Sallez Yves   +2 more
doaj   +1 more source

Competitive Policies for Online Collateral Maintenance

CoRR
Layer-two blockchain protocols emerged to address scalability issues related to fees, storage cost, and confirmation delay of on-chain transactions. They aggregate off-chain transactions into a fewer on-chain ones, thus offering immediate settlement and reduced transaction fees.
Ghada Almashaqbeh, Sixia Chen, Alexander Russell   +2 more
openaire   +5 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

ANALISA SISTEM PERAWATAN KOMPONEN BEARING BOTTOM ROLLER DAN V BELT MESIN RING FRAME RY-5 PADA DEPARTEMEN SPINNING II A (DI PT DANLIRIS SURAKARTA)

J@ti Undip: Jurnal Teknik Industri, 2012
PT Danliris Surakarta merupakan perusahaan textil dengan salah satu produk yang dihasilkan adalah benang, yang diproduksi melalui mesin-mesin Blowing, Carding, Drawing, Lap Form, Combing, Flyer, Ring Spinning dan Winder.
Darminto Pujotomo, Rama Kartha S
doaj   +1 more source

Economic analysis of maintenance policies for a system

2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2009
Maintenance is an inevitable reality in industry. Maintenance of a system usually involves maintenance of multiple components with multiple failure modes, each of which may require different maintenance policy (i.e., corrective (CM), preventive (PM), or condition based maintenance (CBM)). A maintenance policy may be best for one component and the worst
Berdinyazov, A., Camci, F., Sevkli, M., Baskan, S.   +3 more
openaire   +2 more sources

A‐Site High‐Entropy Perovskite Enabling Sulfur‐Tolerant and Coking‐Resistant Anodes for Hydrocarbon‐Fueled Solid Oxide Fuel Cells

Advanced Materials, EarlyView.
A‐site high‐entropy engineering creates a robust Pr0.2Ba0.2La0.2Sr0.2Ca0.2FeO3‐δ (PBLSCF) perovskite‐based solid oxide fuel cell (SOFC) anode with in situ Fe nanoparticle exsolution to boost fuel oxidation and durability, achieving strong sulfur tolerance and coking resistance.
Lei Wu, Yue Bao, Zhi‐Hao Wang, Haixia Li, John Meynard M. Tengco, Ramin Babazadeh Dizaj, Patrick Holcombe, Roozbeh Seifollahy Astaraee, Nathan Thornburg, Chuancheng Duan, Fanglin Chen   +10 more
wiley   +1 more source

Machine Learning (ML) Based Repair-Count and Periodic Maintenance Policy for Multipurpose CNC Machinery [PDF]

E3S Web of Conferences
This study deals with developing a maintenance policy optimization framework using a machine learning approach for multipurpose CNC machinery in an automotive part manufacturer.
Alifin Fakhri Ikhwanul, Winarno, Fasa Nadia, Darajatun Rizki Achmad, Kusnadi, Safariyani Eva   +5 more
doaj   +1 more source

Topology‐Orchestrated Multi‐physical Energy Control in Turtle Shell‐Inspired Metamaterials

Advanced Materials, EarlyView.
A turtle shell‐inspired lattice metamaterial efficiently manages acoustic, fluid‐thermal, and mechanical energy flows simultaneously. The unique hybrid‐coupling architecture achieves superior sound attenuation via pore‐cavity resonance, facilitates effective airflow transport, and maximizes mechanical energy absorption through multistage cell ...
Xi Wang, Shiyi Wang, Bingzhi Chen, Xinwei Li   +3 more
wiley   +1 more source