Increase parameter MXNNAM

Ehsan.Mn · October 15, 2017, 04:02

Hi everybody,

I've got an error in cfx solver manager as:

----------------------------------
Error in subroutine CEL_WRAP :
Expression Language uses too many independent variables
GETVAR originally called by subroutine INIT_CEL
----------------------------------
Error in subroutine CEL_WRAP :
Increase parameter MXNNAM in calling routine
GETVAR originally called by subroutine INIT_CEL

I know that the error is caused by multiple inter connecting CEL expressions that form long CELs consist of too many independent variables.

Unfortunately, I couldn't decrease the number of independent variables in the simulation. I've tried finding MXNNAM parameter and increasing it but I failed!

Please let me know if anyone could solve this problem so far

Thanks in advance,

ghorrocks · October 15, 2017, 05:48

I suspect you are going to have to do what the first message suggests - reduce the number of independent variables.

October 15, 2017, 04:02	Increase parameter MXNNAM	#1
Ehsan.Mn New Member Ehsan Join Date: Oct 2014 Location: Iran Posts: 2 Rep Power: 0	Hi everybody, I've got an error in cfx solver manager as: ---------------------------------- Error in subroutine CEL_WRAP : Expression Language uses too many independent variables GETVAR originally called by subroutine INIT_CEL ---------------------------------- Error in subroutine CEL_WRAP : Increase parameter MXNNAM in calling routine GETVAR originally called by subroutine INIT_CEL I know that the error is caused by multiple inter connecting CEL expressions that form long CELs consist of too many independent variables. Unfortunately, I couldn't decrease the number of independent variables in the simulation. I've tried finding MXNNAM parameter and increasing it but I failed! Please let me know if anyone could solve this problem so far Thanks in advance,

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October 15, 2017, 05:48		#2
ghorrocks Super Moderator Glenn Horrocks Join Date: Mar 2009 Location: Sydney, Australia Posts: 17,716 Rep Power: 143	I suspect you are going to have to do what the first message suggests - reduce the number of independent variables.