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Manganese waste mud immobilization in cement – natural zeolite – lime blend: Process optimization using artificial neural networks and multi-criteria functions


Ukić, Šime; Dimić, Petra; Šiljeg, Mario; Ujević Bošnjak, Magdalena; Šipušić, Juraj; Bolanča, Tomislav
Manganese waste mud immobilization in cement – natural zeolite – lime blend: Process optimization using artificial neural networks and multi-criteria functions // Materialwissenschaft und Werkstofftechnik, 44 (2013), 4; 273-281 doi:10.1002/mawe.201300050 (međunarodna recenzija, članak, znanstveni)


Naslov
Manganese waste mud immobilization in cement – natural zeolite – lime blend: Process optimization using artificial neural networks and multi-criteria functions

Autori
Ukić, Šime ; Dimić, Petra ; Šiljeg, Mario ; Ujević Bošnjak, Magdalena ; Šipušić, Juraj ; Bolanča, Tomislav

Izvornik
Materialwissenschaft und Werkstofftechnik (0933-5137) 44 (2013), 4; 273-281

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
manganese mud ; stabilization/solidification ; artificial neural networks ; multi-criteria functions

Sažetak
In this study, stabilization/solidification process of manganese contaminated mud using portland cement was optimized. For that purpose, immobilization process was modeled applying artificial neural networks with radial basis activation function. The optimal model presented satisfactory prediction characteristics (R2 value for manganese leaching was 0.9615 while and for concrete flexural strength 0.8748). Therefore, it was used in combination with seven inhouse developed multi-criteria optimization functions, separately, in order to optimize concrete formulation. The used approach proved itself as efficient and cost effective alternative in ecological material formulation process. The best properties (i. e. high flexural strength and lowest manganese leaching) manifested stabilization/solidification matrix consisted of 350 g of portland cement, 20 g of lime, 70 g of natural zeolite, 10 g of manganese waste mud and 180 g of water.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekt / tema
125-1252970-2983 - Razvoj modela procesa hidratacije (Juraj Šipušić, )
125-1253092-3004 - Procesi ionske izmjene u sustavu kvalitete industrijskih voda (Tomislav Bolanča, )

Ustanove
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Citiraj ovu publikaciju

Ukić, Šime; Dimić, Petra; Šiljeg, Mario; Ujević Bošnjak, Magdalena; Šipušić, Juraj; Bolanča, Tomislav
Manganese waste mud immobilization in cement – natural zeolite – lime blend: Process optimization using artificial neural networks and multi-criteria functions // Materialwissenschaft und Werkstofftechnik, 44 (2013), 4; 273-281 doi:10.1002/mawe.201300050 (međunarodna recenzija, članak, znanstveni)
Ukić, Š., Dimić, P., Šiljeg, M., Ujević Bošnjak, M., Šipušić, J. & Bolanča, T. (2013) Manganese waste mud immobilization in cement – natural zeolite – lime blend: Process optimization using artificial neural networks and multi-criteria functions. Materialwissenschaft und Werkstofftechnik, 44 (4), 273-281 doi:10.1002/mawe.201300050.
@article{article, year = {2013}, pages = {273-281}, DOI = {10.1002/mawe.201300050}, keywords = {manganese mud, stabilization/solidification, artificial neural networks, multi-criteria functions}, journal = {Materialwissenschaft und Werkstofftechnik}, doi = {10.1002/mawe.201300050}, volume = {44}, number = {4}, issn = {0933-5137}, title = {Manganese waste mud immobilization in cement – natural zeolite – lime blend: Process optimization using artificial neural networks and multi-criteria functions}, keyword = {manganese mud, stabilization/solidification, artificial neural networks, multi-criteria functions} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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