Skip to main content
idi
Toggle navigation
0
You have 0 notifications
Site Visitor
Site Visitor
New To Inknowvation.com?
Register now to get an access to proprietary SBIR-STTR databases!
Registration is fast and free - start your access to business-actionable information today!
Login
Site Register
SBIR-STTR Award
You are here:
Home
Search Databases
Search SBIR-STTR Awards
SBIR-STTR Award
5
Multiscale Modeling Approach to Predict and Reduce Agglomeration of Explosively Disseminated Aerosol Powders
Award last edited on: 9/6/22
Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$99,520
Award Phase
1
Solicitation Topic Code
A18-141
Principal Investigator
James S Uhlman
Company Information
New England Research & Development LLC
(
AKA
: NERD)
17 Bay Terrace
Jamestown, RI 02835
(401) 239-9276
N/A
www.newenglandrandd.com/
Location:
Single
Congr. District:
01
County:
Newport
Phase I
Contract Number:
W911SR-20-P-0004
Start Date:
2/6/19
Completed:
8/7/20
Phase I year
2019
Phase I Amount
$99,520
Particle agglomeration is a severe impediment to dissemination of fine powders used as an obscurant for both military and law enforcement purposes. Agglomeration increases rate of particle settling and decreases screening ability of the obscurant within certain regions of the electromagnetic spectrum. It is therefore desirable to develop technology that reduces agglomeration of these powders during the dissemination process. The objective of the proposed project is to develop a multiscale computational approach for physics-based modeling of powder agglomeration / deagglomeration during explosive dissemination of obscurant powder.
Phase II
Contract Number:
----------
Start Date:
00/00/00
Completed:
00/00/00
Phase II year
----
Phase II Amount
----
×
Login to your account
Mail sent successfully.
Enter any username and password.
Username
Password
Remember me
Login
Forgot your username?
Click here for assistance
Forgot your password?
Request new password
Don't have an account?
Sign up
Forgot username?
Mail sent successfully.
Enter username and password.
Please enter email address that is associated with your account.
Back
Submit
Still Need Help?
If you need further assistance, send us an
e-mail
and we will assist you in resetting your account.
Forgot password?
Mail sent successfully.
Enter username and password.
Please enter email address that is associated with your account.
Back
Submit
Still Need Help?
If you need further assistance, send us an
e-mail
and we will assist you in resetting your account.