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Öğe Nonisothermal decomposition kinetics of chromium-polyacrylate complexes prepared from aged Cr(III) solutions(Wiley, 2007) Dogan, F.; Ozturk, Oe. F.; Yurekli, M.; Ay, A. N.; Kose, D. A.Thermogravimetric studies of poly(acrylic acid) (PAA) and its chromium-polyacrylate complexes prepared from Cr(III) solutions aged for different times were undertaken. Six kinetic methods were used to investigate the thermal decomposition behavior of these materials. The applied methods were the Coats-Redfern, Horowitz-Metzger, MacCallum-Tanner, van Krevelen, Madhusudanan-Krishnan-Ninan, and Criado methods. The activation energy values obtained with the Coats-Redfern, Horowitz-Metzger, and MacCallum-Tanner methods were in good agreement with one another, and those obtained with the van Krevelen and Madhusudanan-Krishnan-Ninan methods were found to be 10-20 kJ/mol larger. The apparent activation energies increased for the complexes prepared from Cr(III) solutions aged for longer times. An analysis of the experimental results suggested that the actual decomposition mechanisms of PAA and the metal-polymer complexes were a D-n deceleration type. (C) 2007 Wiley Periodicals, Inc.Öğe Thermal study of ruthenium(II) complexes containing pyridine-2,6-diimines(Springer, 2008) Dogan, F.; Dayan, O.; Yurekli, M.; Cetinkaya, B.Thermal behaviors of mono- and binuclear Ru(II)-pydim complexes: [PydimCl(2)RuL] (Pydim: pyridine-2,6-diimine; 2: L=NCMe; 3: L=PPh3) and [PydiMCl(2)Ru(L-L)RuCl(2)Pydim] (4: L-L=pyrazine; 5: L-L=4,4'-bipyridine) have been studied in nitrogen atmosphere using TG/DTG and DTA techniques. The decompositions of complexes occur in stepwise. The values of activation energy, Ea, and reaction order, n of the thermal decomposition were calculated by means of several methods such as Coats-Redfern (CR), MacCallum-Tanner (MT), Horowitz-Metzger (HM), van Krevelen (vK), Madhusudanan-Krishnan-Ninan (MKN) and Wanjun-Yuwen-Hen-Cunxin (WYHC) based on the single beating rate. Most appropriate method was determined for each decomposition step according to the least-squares linear regression.