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POWDER TECHNOLOGY
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Overview
publication venue for
DCC-DNN: A deep neural network model to predict the drag coefficients of spherical and non-spherical particles aided by empirical correlations
. 435.
2024
Boiling flow of graphene nanoplatelets nano-suspension on a small copper disk
. 377:10-19.
2021
Effects of particle elongation on the binary coalescence dynamics of powder grains for Laser Sintering applications
. 363:245-255.
2020
Thermo-hydraulic performance of a biological nanofluid containing graphene nanoplatelets within a tube enhanced with rotating twisted tape
. 355:278-288.
2019
Evaluation of particle coalescence and its implications in laser sintering
. 342:917-928.
2019
Simulation of deformation and fragmentation of a falling drop under electric field
. 325:301-308.
2018
Characterization of microstructure and strength of coke particles and their dependence on coal properties
. 320:249-256.
2017
Comparison of experimental data, modelling and non-linear regression on transport properties of mineral oil based nanofluids
. 317:458-470.
2017
Particle size and type effects on heat transfer enhancement of Ferro-nanofluids in a pulsating heat pipe
. 301:1218-1226.
2016
Performance improvement of existing drag models in two-fluid modeling of gas-solid flows using a PR-DNS based drag model
. 286:257-268.
2015
2-D particle shape averaging and comparison using Fourier descriptors
. 104:180-189.
1999
Particle motion and energy distribution in tumbling ball mills
1999
Research
category
ENGINEERING, CHEMICAL
Category
Identifiers
International Standard Serial Number (ISSN)
0032-5910
Electronic International Standard Serial Number (EISSN)
1873-328X
Other
journal abbreviation
POWDER TECHNOL