祝贺艾泽健论文“Investigation and prediction of co-pyrolysis between oily sludge and high-density polyethylene via in-situ DRIFTS, TGA, and artificial neural network”被Journal of Analytical and Applied Pyrolysis（IF：6.437）接收发表！

Release time:2022-07-07

Description of Publication:This research studied the pyrolysis behavior during co-pyrolysis of oily sludge and high-density polyethylene with different blend ratios. The changes of functional groups against pyrolysis temperature were detected via in-situ DRIFTS. The interactive effect between the two feedstocks during co-pyrolysis was analyzed via TGA. The DRIFTS showed that the pyrolysis of HDPE can provide abundant ？CH3 free radicals which may accelerate the pyrolysis of OS. The disparities between theoretical and experimental TG/DTG curves of mixtures indicated a synergistic interaction during co-pyrolysis. Besides, the activation energy of co-pyrolysis was obtained based on kinetic analysis. In addition, two ANN models were established and used to reversely guide and optimize experiment design for the highest synergistic effect and the minimum activation energy. This study offers a new insight and strategy to aid pyrolysis experimental studies.

Translated or Not:no