Act Now While It Lasts

Claim a 25% discount on your eLearning courses and webinars purchases with code EDU25OFF.

Valid from November 29th until December 23rd. Offer excludes instructor-led courses and all credential programs.

Experiments and Simulations of Gas-Solid Flow Dynamics with a Moving Porous Media Model

Source: AIChE
  • Type:
    Conference Presentation
  • Checkout

    Checkout

    Do you already own this?

    Pricing


    Individuals

    AIChE Member Credits 0.5
    AIChE Members $19.00
    AIChE Graduate Student Members Free
    AIChE Undergraduate Student Members Free
    Non-Members $29.00
  • Conference Type:
    AIChE Annual Meeting
  • Presentation Date:
    November 8, 2021
  • Duration:
    19 minutes
  • Skill Level:
    Intermediate
  • PDHs:
    0.50

Share This Post:

Continuous spatial particle atomic-layer deposition (ALD) reactors contain billions of fine and ultrafine particles under typical operating conditions. Simulating micron and submicron powders in a reactor with gas dosing zones on the order of centimeters presents a significant modeling challenge. However, experiments and CFD-DEM simulations in MFIX have revealed that the powder bed moves as a solid plug under typical vibratory convection conditions, so we decided to take advantage of the low relative motion between particles by approximating the powder bed as a porous media. A moving porous media model, which utilizes the sliding and layering dynamic mesh capabilities in ANSYS Fluent, was developed to enable efficient simulations of reactor-scale multiphase flow in the continuous vibrating beds used for particle ALD. Treating the packed powder bed as a solid skeleton with an infiltrating gas phase circumvents the computational expense associated with resolving particle-particle collisions. Simulations revealed the effects of packed bed and porous baseplate permeability, vibration intensity, and precursor/purge gas velocity ratios on the flow behavior inside continuous spatial particle ALD reactors. Understanding and predicting the reactor-scale behavior enables process optimization under different reactor conditions.
Presenter(s): 
Once the content has been viewed and you have attested to it, you will be able to download and print a certificate for PDH credits. If you have already viewed this content, please click here to login.

Checkout

Checkout

Do you already own this?

Pricing


Individuals

AIChE Member Credits 0.5
AIChE Members $19.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $29.00
Language: