Results 71 to 80 of about 12,871 (300)

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Research of surface roughness at milling by face block-modular milling cutter [PDF]

open access: yes, 2016
The results of research of surface roughness during machining by face block-modular milling cutter compared to milling cutter designed by VNII instrument are ...
Popok, N., Maksimchuk, A.
core   +1 more source

Optimizing Dual-Microstructure Parameters in Ball-End Milling Tools: Synergistic Effects and Parameter Combination Analysis

open access: yesApplied Sciences
To address the issues of high cutting speeds and low surface precision during milling, this study investigates the effects of front and back cutting face microstructures on ball-end milling cutters processing 304 stainless steel.
Qinghua Li   +4 more
doaj   +1 more source

The impact of tool performance on micromachining capability [PDF]

open access: yes, 2012
Micro-milling represents a versatile and fast manufacturing process suitable for production of fully 3D micro-components. Such components are demanded for a vast number of industrial applications including safety systems, environmental sensors ...
Zdebski, Daniel
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Simulation of power dependences at face milling [PDF]

open access: yes, 2008
В даній статті описано фізичне моделювання процесу торцевого фрезерування. Розроблено конструкцію спеціального динамометра для вимірювання сил різання при торцевому фрезеруванні. Досліджено вплив різних форм ножів торцевої фрези на сили різання.
Melnychuk, P.   +3 more
core  

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

Optimization and Simulation of Pinion Rough Processing for Cycloid Bevel Gear

open access: yesJixie chuandong, 2018
A face milling method to rough processing the pinion of cycloid bevel gears is introduced. On the basis of the difference between face-milling and face-hobbing,the universal mathematical model is established firstly,the high order Taylor expansion of ...
Jiang Chuang   +3 more
doaj  

Influence of Entry Strategy on Cutting Tool Wear and Surface Roughness of Sae D2 Steel During Face Milling

open access: yesMaterials Research
When machining metallic materials, especially when face milling tool steel, annealing heat treatment is recommended for good machinability. The entry strategy of the cutting tool into the material plays a fundamental role in the tool.
Marcio Silva de Macedo   +4 more
doaj   +1 more source

Study on Surface Roughness in Face Milling

open access: yesJournal of the Japan Society of Precision Engineering, 1967
The major findings of this study are as follows. There are two regions of cutting speed and feed rate, i.e., normal and abnormal regions. In the former the actual roughness is approximately given by the formula expressed by the tool shape and the feed, while in the latter it is much rougher than expected from the formula because of the disturbances due
TAKEYAMA, Hidehiko   +2 more
openaire   +2 more sources

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