Calculation of Finely Dispersed Powder Mixing Process

This paper describes a mathematical model simulating the process of deterministic formation of a homogeneous mixture for making diamond abrasive tools. The process of modelling was divided into a few steps: – determining the capacity of the screw feeders; – determining how far the material is thrown by the screw; – building a cross-section of the distributed material; – determining the concentration of components within the microareas of a given size and calculating the mixture quality. The model provides a detailed description of the dosing process. They are the parameters of this process that mainly determine the quality of the resultant mixtures giving them a well-organized structure so that the diamond grains were distributed in the cutting metal layer as evenly as is desired. The obtained results have been verified through a series of full-scale experiments conducted in a special-design mixer. Thanks to this process, the resultant tool has a higher performance as compared with the one produced with the help of existing techniques.

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Powder-mixing-process under microgravity for oxide superconductors

Advanced Materials '93 ◽

10.1016/b978-0-444-81993-2.50160-8 ◽

1994 ◽

pp. 681-684

Author(s):

Kazunori Yamanaka ◽

Kaoru Hashimoto ◽

Nobuo Kamehara ◽

Tsuyoshi Kotani

Keyword(s):

Oxide Superconductors ◽

Mixing Process ◽

Powder Mixing

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Discrete Element Method (DEM) Simulation of Powder Mixing Process

Pharmaceutical Blending and Mixing ◽

10.1002/9781118682692.ch17 ◽

2015 ◽

pp. 459-477

Author(s):

Ali Hassanpour ◽

Mojtaba Ghadiri

Keyword(s):

Discrete Element Method ◽

Discrete Element ◽

Mixing Process ◽

Powder Mixing ◽

Dem Simulation ◽

Element Method

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Development of a methodology to estimate error in the on-line measurements of blend uniformity in a continuous powder mixing process

Powder Technology ◽

10.1016/j.powtec.2013.02.012 ◽

2013 ◽

Vol 241 ◽

pp. 263-271 ◽

Cited By ~ 36

Author(s):

Aditya U. Vanarase ◽

Maiju Järvinen ◽

Janne Paaso ◽

Fernando J. Muzzio

Keyword(s):

Mixing Process ◽

Powder Mixing ◽

Blend Uniformity ◽

Estimate Error ◽

Continuous Powder Mixing ◽

On Line

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Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Journal of Powder Technology ◽

10.1155/2013/843784 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11 ◽

Cited By ~ 35

Author(s):

Maitraye Sen ◽

Atul Dubey ◽

Ravendra Singh ◽

Rohit Ramachandran

Keyword(s):

Balance Model ◽

Process Conditions ◽

Discrete Element Modeling ◽

Mixing Process ◽

Powder Mixing ◽

Fundamental Particle ◽

Relative Standard ◽

Continuous Powder Mixing ◽

Particle Level ◽

Level Model

This paper describes the development of a multidimensional population balance model (PBM) which can account for the dynamics of a continuous powder mixing/blending process. The PBM can incorporate the important design and process conditions and determine their effects on the various critical quality attributes (CQAs) accordingly. The important parameters considered in this study are blender dimensions and presence of noise in the inlet streams. The blender dynamics have been captured in terms of composition of the ingredients, (relative standard deviation) RSD, and (residence time distribution) RTD. PBM interacts with discrete element modeling (DEM) via one-way coupling which forms a basic framework for hybrid modeling. The results thus obtained have been compared against a full DEM simulation which is a more fundamental particle-level model that elucidates the dynamics of the mixing process. Results show good qualitative agreement which lends credence to the use of coupled PBM as an effective tool in control and optimization of mixing process due to its relatively fewer computational requirements compared to DEM.

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Carbide Nanoparticle Dispersion Techniques for Metal Powder Metallurgy

Metals ◽

10.3390/met11060871 ◽

2021 ◽

Vol 11 (6) ◽

pp. 871

Author(s):

Bahrum Prang Rocky ◽

Christopher R. Weinberger ◽

Steven R. Daniewicz ◽

Gregory B. Thompson

Keyword(s):

Metal Matrix ◽

Matrix Material ◽

High Energy ◽

Mixing Process ◽

Nanoparticle Dispersion ◽

Mechanochemical Processing ◽

Powder Mixing ◽

Iron Powders ◽

Uniform Dispersion ◽

Alcohol Solvent

Nanoparticles (NP) embedded into a matrix material have been shown to improve mechanical properties such as strength, hardness, and wear-resistance. However, the tendency of NPs to agglomerate in the powder mixing process is a major concern. This study investigates five different mechanochemical processing (MCP) routes to mitigate agglomeration to achieve a uniform dispersion of ZrC NPs in an Fe-based metal matrix composite. Our results suggest that MCP with only process controlling agents is ineffective in avoiding aggregation of these NPs. Instead, the uniformity of the carbide NP dispersion is achieved by pre-dispersing the NPs under ultrasonication using suitable surfactants followed by mechanically mixing of the NPs with iron powders in an alcohol solvent which is then dried. High-energy MCP is then used to embed the NPs within the powders. These collective steps resulted in a uniform dispersion of ZrC in the sintered (consolidated) Fe sample.

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