Results 141 to 150 of about 2,347 (301)

Enhanced Machinability of Ti-5553 Alloy from Cryogenic Machining: Comparison with MQL and Flood-cooled Machining and Modeling

, 2015
Due to the high performance requirements such as high strength, excellent properties at room and high working temperatures, better resistance to corrosion and fatigue, etc., Ti-5553alloy has been generally considered as a suitable material to replace Ti ...
Puleo, D.A., Huang, B., Sun, Y., Jawahir, I.S.   +3 more
core   +1 more source

Three‐Dimensional Highly Thermally Conductive Graphene Blocks by Multiscale Blending and Multistage Pressure Induction

Carbon Energy, EarlyView.
An expandable‐thickness graphene block (GPB) with high thermal conductivity synthesized through multiscale blending and multistage pressure induction (MBP) achieves a record thickness of 12.1 mm, which is more than 10 times that of existing graphene materials. The maximum thermal diffusion ability of GPB‐MBP reaches 6.3 W/K, which offers a new approach
Liyu Zhang, Haitao Hu, Xuan Li, Haihan Xu, Xiaoying Gao, Ruishi Lin, Yingze Meng, Jiaxin He, Shoujin Chang, Guoliang Ding   +9 more
wiley   +1 more source

Effects of machining parameters, ultrasonic vibrations and cooling conditions on cutting forces and tool wear in meso scale ultrasonic vibrations assisted end-milling (UVAEM) of Ti–6Al–4V under dry, flooded, MQL and cryogenic environments – A statistical analysis

Journal of Materials Research and Technology
Ti–6Al–4V, an alloy of titanium has recently gained focus of research to overcome its machinability challenges. Miniaturization in devices has forced a shift towards micro and meso-scale machining.
Adil Rauf, Muhammad Ali Khan, Syed Husain Imran Jaffery, Shahid Ikramullah Butt   +3 more
doaj   +1 more source

Analysis of Tool-wear and Cutting Force Components in Dry, Preheated, and Cryogenic Machining of NiTi Shape Memory Alloys

, 2013
The present study focuses on tool-wear behaviour and cutting forces in machining of NiTi shape memory alloys (SMAs) under various machining conditions, namely dry, preheated, and cryogenic cooling at three different cutting speeds.
Kaynak, Y., Karaca, H.E., Noebe, R.D., Jawahir, I.S.   +3 more
core   +1 more source

Engineered Carbon Dots as Multifunctional Nanoplatforms for Next‐Generation High‐Performance Advanced Batteries

Carbon Energy, EarlyView.
Herein, we mainly summarize the characteristics of the main types of carbon dots (CDs), analyze the strategies for improving advanced batteries' performance via incorporating CDs, comprehensively summarize recent applications of CDs in the main components (electrode, electrolyte, and separator) of advanced batteries, and propose the technical ...
Chuang Jiang, Jinlong Feng, Zhenjie Liu, Ming Jia, Qingxi Hou, Wei Liu   +5 more
wiley   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

PERFECTA Loaded Lipid Cubosomes for 19F‐MRI: Physico‐Chemical Characterization

Chemistry – A European Journal, EarlyView.
Phytantriol‐based cubosomes loaded with PERFCTA, a fluorinated MRI probe, were developed as promising systems for imaging and drug delivery. The nanoparticles showed high PERFECTA encapsulation efficiency, strong fluorine MRI signals, and optimal colloidal stability in biological media.
Pietro Milesi, Beatrice Lucia Bona, Cristina Chirizzi, Marco Campanile, Pompea Del Vecchio, Marc Schmutz, Valerie Sartor, Debora Berti, Pierangelo Metrangolo, Francesca Baldelli Bombelli, Barbara Lonetti   +10 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Extended batch adsorber analogue model (e‐BAAM) for rapid evaluation of CO2 capture pressure swing adsorption cycles

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley   +1 more source

Lithium Metal Anode Fabrication: Methods, Challenges, and Strategies

EcoEnergy, EarlyView.
Schematic illustration of four representative fabrication techniques for thin lithium metal anodes: extrusion, molten lithium infusion, electroplating, and physical vapor deposition (PVD). ABSTRACT The pursuit of ultra‐high energy‐dense lithium‐metal batteries (LMBs) has reignited the drive to fabricate ultrathin high‐quality lithium metal anodes. This
Ji Hyun Baek, Mi Ji Kang, Ho Won Jang
wiley   +1 more source