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ĿǰÏÂÃæµÄ³ÌÐòÄܵõ½r=kPA^ n PB^ mÖеÄk¡¢n¡¢mÖµ£¬µ«ÊÇÎÒÏë°Ñ³ÌÐòÐ޸ijÉÄÜÖ±½ÓÇór=k0e(-Ea/RT)PA^nPB^m£¬ÖеÄk0¡¢Ea¡¢nºÍm¡£Ó¦¸ÃÈçºÎÐ޸ijÌÐò£¬Çó´óÉñ´Í½Ì£¬²»Éõ¸Ð¼¤¡£ Êý¾ÝÈçÏ£º T=310+273.15Kʱ PA0 = [3.7449 3.7500 3.7548 3.7568]; PB0 = [0.0807 0.0835 0.0861 0.0871]; r = [0.0019 0.0022 0.0024 0.0025]; T=330+273.15Kʱ PA0 = [3.7138 3.7215 3.7448 3.7572]; PB0 = [0.04 0.0458 0.0618 0.071]; r = [0.0041 0.0097 0.0109 0.0111]; Ps£ºRÊdz£ÊýR=8.3145 r=kPA^nPB^mµÄ³ÌÐò function KineticsEst3 % ¶¯Á¦Ñ§²ÎÊý±æÊ¶: ÓÃ΢·Ö·¨½øÐз´Ó¦ËÙÂÊ·ÖÎöµÃµ½ËÙÂʳ£ÊýkºÍ·´Ó¦¼¶Êýn % Reaction of the type -- rate = kCA^order % order - reaction order % rate -- reaction rate vector % CA -- concentration vector for reactant A % T -- vector of reaction time % N -- number of data points % k- reacion rate constant clear all clc global negr0m PA0 PB0 PA0 = [3.7449 3.7500 3.7548 3.7568]; PB0 = [0.0807 0.0835 0.0861 0.0871]; % negr0m = [0.5 0.63 0.83 1.0 1.28 0.33 0.8 1.5 2.21 3.33]; % Problems ... negr0m = [0.0019 0.0022 0.0024 0.0025]; % Óöà±äÁ¿ÏßÐԻع鷽·¨¹À¼Æ¶¯Á¦Ñ§²ÎÊý y = log(negr0m); x1 = log(PA0); x2 = log(PB0); y = y'; X = [ones(size(y)) x1' x2']; [b,bint] = regress(y,X,0.1); k = exp(b(1)) n = b(2) m = b(3) % Óöà±äÁ¿·ÇÏßÐԻع鷽·¨£¨ÒÔÏßÐԻعéµÄ½á¹û×÷Ϊ·ÇÏßÐԻعéµÄ³õÖµ£© beta0 = [k n m]; lb = [0 0 0]; ub = [1 3 3]; [beta,resnorm,resid,exitflag,output,lambda,jacobian] = ... lsqnonlin(@ObjFunc,beta0,lb,ub); ci = nlparci(beta,resid,jacobian) % ²Ð²î¹ØÓÚÄâºÏÖµµÄ²Ð²îͼ negrA0c = Rate(beta,PA0,PB0); plot(negrA0c,resid,'*') xlabel('·´Ó¦ËÙÂÊÄâºÏÖµ, torr s^-^1') ylabel('²Ð²îR, torr s^-^1') refline(0,0) % ²ÎÊý±æÊ¶½á¹û fprintf('Estimated Parameters:\n') fprintf('\tk = %.4f ¡À %.4f\n',beta(1),ci(1,2)-beta(1)) fprintf('\tn = %.2f ¡À %.2f\n',beta(2),ci(2,2)-beta(2)) fprintf('\tm = %.2f ¡À %.2f\n',beta(3),ci(3,2)-beta(3)) fprintf('\tThe sum of the squares is: %.1e\n\n',resnorm) % ------------------------------------------------------------------ function f = ObjFunc(beta) global negr0m PA0 PB0 f = negr0m - Rate(beta,PA0,PB0); % ------------------------------------------------------------------ function negrA = Rate(beta,PA,PB) negrA = beta(1)*PA.^beta(2).*PB.^beta(3); % k=beta(1),n=beta(2),m=beta(3); |
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С·öÒ¡(½ð±Ò+10):̫ллÁË£¬ÎÒÏÈÑо¿Ï£¬ÓÐÎÊÌâµÄ»°»¹ÒªÂ鷳Ϡ2010-12-11 09:38:01
zzuwangshilei(½ð±Ò+2):»ý¼«²ÎÓë,ÐÁ¿àÁË 2010-12-11 10:36:53
С·öÒ¡(½ð±Ò+10):̫ллÁË£¬ÎÒÏÈÑо¿Ï£¬ÓÐÎÊÌâµÄ»°»¹ÒªÂ鷳Ϡ2010-12-11 09:38:01
zzuwangshilei(½ð±Ò+2):»ý¼«²ÎÓë,ÐÁ¿àÁË 2010-12-11 10:36:53
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ÎÒ°ÑÄãµÄ³ÌÐòÐÞ¸ÄÁËһϣ¬ÄÜÔËÐÐÁË£¬µ«ÊÇÐèÒªÔö¼ÓÒ»×éʵÑéÊý¾Ý£¬Èç¹û²»¶®£¬Çë¸øÎÒ¶ÌÏûÏ¢~ function KineticsEst3_1 % ¶¯Á¦Ñ§²ÎÊý±æÊ¶: ÓÃ΢·Ö·¨½øÐз´Ó¦ËÙÂÊ·ÖÎöµÃµ½ËÙÂʳ£ÊýkºÍ·´Ó¦¼¶Êýn % Reaction of the type -- rate = kCA^order % order - reaction order % rate -- reaction rate vector % CA -- concentration vector for reactant A % T -- vector of reaction time % N -- number of data points % k- reacion rate constant clear all clc global negr0m PA0 PB0 RT PA0 = [3.7449 3.7500 3.7548 3.7568 3.7588 ]; PB0 = [0.0807 0.0835 0.0861 0.0871 0.0891]; RT=8.3*(310+273)*ones(1,5); % negr0m = [0.5 0.63 0.83 1.0 1.28 0.33 0.8 1.5 2.21 3.33]; % Problems ... negr0m = [0.0019 0.0022 0.0024 0.0025 0.0028]; % Óöà±äÁ¿ÏßÐԻع鷽·¨¹À¼Æ¶¯Á¦Ñ§²ÎÊý y = log(negr0m); x1 = log(PA0); x2 = log(PB0); x3 =log(8.3*(310+273))*ones(1,5); y = y'; X = [ones(size(y)) x1' x2' x3']; [b,bint] = regress(y,X,0.1); k0 = exp(b(1)) n = b(2) m = b(3) Ea = b(4) % Óöà±äÁ¿·ÇÏßÐԻع鷽·¨£¨ÒÔÏßÐԻعéµÄ½á¹û×÷Ϊ·ÇÏßÐԻعéµÄ³õÖµ£© beta0 = [k0 n m Ea]; lb = [0 0 0 -10]; ub = [1 3 3 10]; [beta,resnorm,resid,exitflag,output,lambda,jacobian] = ... lsqnonlin(@ObjFunc,beta0,lb,ub); ci = nlparci(beta,resid,jacobian) % ²Ð²î¹ØÓÚÄâºÏÖµµÄ²Ð²îͼ negrA0c = Rate(beta,PA0,PB0,RT); plot(negrA0c,resid,'*') xlabel('·´Ó¦ËÙÂÊÄâºÏÖµ, torr s^-^1') ylabel('²Ð²îR, torr s^-^1') refline(0,0) % ²ÎÊý±æÊ¶½á¹û fprintf('Estimated Parameters:\n') fprintf('\tk = %.4f ¡À %.4f\n',beta(1),ci(1,2)-beta(1)) fprintf('\tn = %.2f ¡À %.2f\n',beta(2),ci(2,2)-beta(2)) fprintf('\tm = %.2f ¡À %.2f\n',beta(3),ci(3,2)-beta(3)) fprintf('\tEa = %.2f ¡À %.2f\n',beta(4),ci(4,2)-beta(4)) fprintf('\tThe sum of the squares is: %.1e\n\n',resnorm) %------------------------------------------------------------------ function f = ObjFunc(beta) global negr0m PA0 PB0 RT f = negr0m - Rate(beta,PA0,PB0,RT); % ------------------------------------------------------------------ function negrA = Rate(beta,PA,PB,RT) negrA = beta(1)*PA.^beta(2).*PB.^beta(3).*exp(beta(4)./RT); % k=beta(1),n=beta(2),m=beta(3);3.75883.7588 |
2Â¥2010-12-11 09:28:21
robert2020:½¨ÒéʹÓá°ÒýÓûظ´¸ÃÌû¡±£¬²»È»¶Ô·½ÊÕ²»µ½ÄãµÄÐÅÏ¢¡£ 2010-12-16 09:15:35
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clear all clc global negr0m PA0 PB0 RT PA0 = [3.7377 3.7449 3.7500 3.7548 3.7568 3.5690 3.5859 3.5970 3.6046 3.6119 3.6161]; PB0 = [0.0769 0.0807 0.0835 0.0861 0.0871 0.0389 0.0468 0.0520 0.0554 0.0581 0.0601]; RT1=8.3145*(310+273.15)*ones(1,5); RT2=8.3145*(330+273.15)*ones(1,6); RT=[RT1 RT2]; % negr0m = [0.5 0.63 0.83 1.0 1.28 0.33 0.8 1.5 2.21 3.33]; % Problems ... negr0m = [0.0023 0.0024 0.0024 0.0025 0.0025 0.0040 0.0042 0.0044 0.0046 0.0048 0.0049]; % Óöà±äÁ¿ÏßÐԻع鷽·¨¹À¼Æ¶¯Á¦Ñ§²ÎÊý y = log(negr0m); x1 = log(PA0); x2 = log(PB0); x3 =log(RT); y = y'; X = [ones(size(y)) x1' x2' x3']; [b,bint] = regress(y,X,0.1); k0 = exp(b(1)) n = b(2) m = b(3) Ea = b(4) % Óöà±äÁ¿·ÇÏßÐԻع鷽·¨£¨ÒÔÏßÐԻعéµÄ½á¹û×÷Ϊ·ÇÏßÐԻعéµÄ³õÖµ£© beta0 = [k0 n m Ea]; lb = [0 0 0 -10]; ub = [1 3 3 10]; [beta,resnorm,resid,exitflag,output,lambda,jacobian] = ... lsqnonlin(@ObjFunc,beta0,lb,ub); ci = nlparci(beta,resid,jacobian) % ²Ð²î¹ØÓÚÄâºÏÖµµÄ²Ð²îͼ negrA0c = Rate(beta,PA0,PB0,RT); plot(negrA0c,resid,'*') xlabel('·´Ó¦ËÙÂÊÄâºÏÖµ, torr s^-^1') ylabel('²Ð²îR, torr s^-^1') refline(0,0) % ²ÎÊý±æÊ¶½á¹û fprintf('Estimated Parameters:\n') fprintf('\tk = %.4f ¡À %.4f\n',beta(1),ci(1,2)-beta(1)) fprintf('\tn = %.2f ¡À %.2f\n',beta(2),ci(2,2)-beta(2)) fprintf('\tm = %.2f ¡À %.2f\n',beta(3),ci(3,2)-beta(3)) fprintf('\tEa = %.2f ¡À %.2f\n',beta(4),ci(4,2)-beta(4)) fprintf('\tThe sum of the squares is: %.1e\n\n',resnorm) %------------------------------------------------------------------ function f = ObjFunc(beta) global negr0m PA0 PB0 RT f = negr0m - Rate(beta,PA0,PB0,RT); % ------------------------------------------------------------------ function negrA = Rate(beta,PA,PB,RT) negrA = beta(1)*PA.^beta(2).*PB.^beta(3).*exp(-beta(4)./RT); % k=beta(1),n=beta(2),m=beta(3);Ea=beta(4); Ϊʲô×îÖյĽá¹ûºÍ lb = [0 0 0 -10]; ub = [1 3 3 10]; Óкܴó¹ØÏµ£¬¸ÃÈçºÎ½â¾ö [ Last edited by С·öÒ¡ on 2010-12-15 at 13:35 ] |
3Â¥2010-12-15 13:30:40













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