Modeling and Optimization of Struvite Crystal Scaling Using Experimental Design Methodology For Maleic Acid
D. S. Perwitasari, A.P. Bayuseno, J. Jamari, S. Muryanto
D. S. Perwitasari
Available Online December 2018.
- https://doi.org/10.2991/icst-18.2018.53How to use a DOI?
- Response surface methodology (RSM), Struvite crystallization, XRPD Rietveld analysis
- This paper presents results of an investigation of scaling of magnesium ammonium phosphate hexahydrate (struvite) on a process batch crystallizer. In this study, variables, namely temperature (30-40oC), stirring speed (200-400 rpm), maleic acid concentration (1-20 ppm) were optimized using RSM (response surface methodology) to provide the optimum yield of the mass scales. The RSM prediction provided that the maleic acid concentration was the most significant factor for scale yield, while the temperature and the stirring speed were insignificant factors determining the optimal condition of the mass scale yields. The optimum mass scale response of 10.43 mg was obtained at a temperature of 30 oC, stirring speed of 300 rpm and maleic acid concentration of 20 ppm, respectively. This gave the best combination of process parameters for struvite crystallization in an aqueous solution
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - D. S. Perwitasari AU - A.P. Bayuseno AU - J. Jamari AU - S. Muryanto PY - 2018/12 DA - 2018/12 TI - Modeling and Optimization of Struvite Crystal Scaling Using Experimental Design Methodology For Maleic Acid BT - Proceedings of the International Conference on Science and Technology (ICST 2018) PB - Atlantis Press SP - 253 EP - 258 SN - 2589-4943 UR - https://doi.org/10.2991/icst-18.2018.53 DO - https://doi.org/10.2991/icst-18.2018.53 ID - Perwitasari2018/12 ER -