Results 91 to 100 of about 304,255 (309)

Parameters for the Grinding Process in Vertical Mills Using Optimization Methods

Revista Técnica Energía
Vertical roller mills, VRMs, are widely used for grinding raw materials in factories engaged in the extraction and processing of minerals. Any machine used for grinding or crushing consumes around 30 to 40% of the energy of a factory.
Jorge Paredes, Jaime Cepeda, Jorge Lozada   +2 more
doaj   +1 more source

Parameter Variation in Planetary Ball Milling of Titanium Aluminide Powder in XHV‐Adequate Atmosphere

Advanced Engineering Materials, EarlyView.
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann, Armin Piwek, Julius Peddinghaus, Kai Brunotte, Bernd-Arno Behrens   +4 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

PRINCIPLES OF RE-ENGINEERING METHODOLOGY FOR TECHNOLOGICAL PROCESS IN PROCESSING OF RAW MATERIAL COMPONENTS WHILE PRODUCING CEMENT AND SILICATE PRODUCTS

Наука и техника, 2014
Grinding process is characterized by high energy consumption and low productivity. Nowadays efficiency of the ball mills applied for grinding is rather low. Only 3-6 % of the supplied power energy is used for material grinding.
I. A. Busel, P. I. Busel
doaj  

Evaluation of Double-Sided Planetary Grinding Using Diamond Wheels for Sapphire Substrates

Crystals, 2018
Double-sided planetary grinding as an efficient and precise machining method is used for the rapid thinning and flattening process of sapphire substrate.
Lijuan Wang, Zhongwei Hu, Yiqing Yu, Xipeng Xu   +3 more
doaj   +1 more source

Energy Prediction Models and Distributed Analysis of the Grinding Process of Sustainable Manufacturing. [PDF]

Micromachines (Basel), 2023
Tian Y, Wang J, Hu X, Song X, Han J, Wang J.   +5 more
europepmc   +1 more source

Экспериментальное исследование процесса шлифования мартенситно-стареющей стали, Н18К9М5Т [PDF]

, 2017
Предметом исследования является процесс шлифования мартенситно-стареющей стали, а именно Н18К9М5Т. Объектом исследования – величина углубления зерен шлифовального круга из КБН в металл, объем удаляемого металла, удельная мощность, производительность ...
Лебедев, В. Г., Луговская, Е. А., Овчаренко, А. В.   +2 more
core  

Quality Estimation of Dry Grinding of Skiving Cutters With Organic Bonding Diamond Wheels [PDF]

, 2016
Engineering process preparation requires proper preparation of cutting tools. It influences not only the performance of the tools but also the quality of workpiece surface machining.
Filippov, Andrey Vladimirovich, Podgornykh, Oleg Anatolievich, Rubtsov, Valery Evgenjevich, Shamarin, Nikolay Nikolaevich   +3 more
core   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

A Review of Research on Multi-Objective Process Parameter Optimization Technology for Grinding Machining

Technologies
The optimization of grinding is a multi-objective problem characterized by high dimensionality, non-linearity, and complexity. Solving this multi-objective optimization (MOO) problem is one of the most challenging tasks in the field of mechanical ...
Xiao Yang, Zhaohui Deng, Decai Zhu, Rongjin Zhuo, Xipeng Xu, Wei Liu   +5 more
doaj   +1 more source