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Agglomeration detection in horizontal stirred bed reactor based on autoregression model by acoustic emission signals / Yefeng Zhou in Industrial & engineering chemistry research, Vol. 51 N° 36 (Septembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 36 (Septembre 2012) . - pp. 11629-11635 Titre : Agglomeration detection in horizontal stirred bed reactor based on autoregression model by acoustic emission signals Type de document : texte imprimé Auteurs : Yefeng Zhou, Auteur ; Zhengliang Huang, Auteur ; Ren Congjing, Auteur Année de publication : 2012 Article en page(s) : pp. 11629-11635 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Acoustic  emission  Modeling  Stirred  tank  reactor  Agglomeration Résumé : Agglomeration occurring in horizontal stirred bed reactors (HSBR) for polyolefin production has negative impacts on the efficiency of the reactor operation and may sometimes lead to unscheduled shutdown of the plant. In this paper, an autoregression (AR) model based on acoustic emission (AE) technique has been proposed to establish the qualitative relationship between AE signals and agglomeration in the HSBR. In this method, the frequency of AE signal varies with particles of different sizes striking the reactor walls. From the cold model experiments, it was found that AR power spectrum became fluctuant after the addition of agglomerations into laboratorial scale HSBR, and meanwhile the low frequency band energy ratio and the variance of AE signals kept rising. Furthermore, this AE-based AR model was also successfully applied to detect the agglomeration in an industrial HSBR unit, showing that the method could monitor agglomerations in an environmentally friendly manner and with fairly good accuracy. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26350328 [article] Agglomeration detection in horizontal stirred bed reactor based on autoregression model by acoustic emission signals [texte imprimé] / Yefeng Zhou, Auteur ; Zhengliang Huang, Auteur ; Ren Congjing, Auteur . - 2012 . - pp. 11629-11635. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 36 (Septembre 2012) . - pp. 11629-11635 Mots-clés : Acoustic  emission  Modeling  Stirred  tank  reactor  Agglomeration Résumé : Agglomeration occurring in horizontal stirred bed reactors (HSBR) for polyolefin production has negative impacts on the efficiency of the reactor operation and may sometimes lead to unscheduled shutdown of the plant. In this paper, an autoregression (AR) model based on acoustic emission (AE) technique has been proposed to establish the qualitative relationship between AE signals and agglomeration in the HSBR. In this method, the frequency of AE signal varies with particles of different sizes striking the reactor walls. From the cold model experiments, it was found that AR power spectrum became fluctuant after the addition of agglomerations into laboratorial scale HSBR, and meanwhile the low frequency band energy ratio and the variance of AE signals kept rising. Furthermore, this AE-based AR model was also successfully applied to detect the agglomeration in an industrial HSBR unit, showing that the method could monitor agglomerations in an environmentally friendly manner and with fairly good accuracy. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26350328