How can I solve this nested symbolic function ?
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Raúl Rivera
le 16 Oct 2023
Réponse apportée : Star Strider
le 16 Oct 2023
Hello, Im doing a metallurgical problem ,to do so I need to make the following code but returns an error when i call the following nested function, by the way I am doing so because I want to export it as an excel add-in .
valor=molienda(10,6,6,6.1,1.02,0.45,0.7,10)
function a=molienda(F_min,Diametro,Largo,Wi,F80,Vp,fVc,t)
p80=mP80(t);
%Potencia para moler el mineral
W_mineral=Wi*((10/(p80^0.5))-(10/(F80))^(0.5));
P_mineral=W_mineral*F_min*1.341;
%Potencia para mover el medio moledor
Kwb = 4.879*(D^0.3)*(3.2-3*Vp)*fVc*(1-0.1/((2^9)-10*fVc))
W_bolas=80*(Diametro^2)*Largo;
P_bolas=Kwb*W_bolas;
P_total=P_bolas+P_mineral;
a(1)=P_total;
a(2)=P80;
function P_80=mP80(tiempo)
syms Q(x) z
Q(x) = (16.4831*x^(-0.7510)+1.665)*exp(-0.9451*tiempo^0.296);
fun= 80-(100-Q(z))==0;
P_80 = double(solve(fun,z));
end
end
I can´t find the solution ,please if you know how to i would very pleased . Thanks in advance for your help.
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Réponse acceptée
Star Strider
le 16 Oct 2023
It would be best to abandon the idea of using the Symbolic Math Toolbox here, since it is not necessary. You can do everything necessary with anonymous functions.
Also, there are discrepancies between the function arguments and the code. I substituted ‘p80’ for ‘F80’ and ‘P80’ in order to make it work. You need to edit ‘molienda’ to resolve all these discrepancies, since I am not certain that the changes I made to it get it to work are correct.
Try this —
valor=molienda(10,6,6,6.1,1.02,0.45,0.7,10)
function a=molienda(F_min,Diametro,Largo,Wi,p80,Vp,fVc,t)
p80=mP80(t);
%Potencia para moler el mineral
W_mineral=Wi*((10/(p80^0.5))-(10/(p80))^(0.5));
P_mineral=W_mineral*F_min*1.341;
%Potencia para mover el medio moledor
Kwb = 4.879*(Diametro^0.3)*(3.2-3*Vp)*fVc*(1-0.1/((2^9)-10*fVc))
W_bolas=80*(Diametro^2)*Largo;
P_bolas=Kwb*W_bolas;
P_total=P_bolas+P_mineral;
a(1)=P_total;
a(2)=p80;
function P_80=mP80(tiempo)
% syms Q(x) z
Q = @(x) (16.4831*x.^(-0.7510)+1.665)*exp(-0.9451*tiempo.^0.296);
fun = @(z) 80-(100-Q(z));
P_80 = fsolve(fun,10);
end
end
.
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