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Water disposal minimization of a screw press in the tissue manufacturing process

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Abstract

Dewatering is a major process in a wide range of manufacturing industries. One of the most commonly used technologies for dewatering is the screw press. The optimized setting of the screw press increases the amount of recycled water for further production. Additionally, it reduces waste disposal costs by lowering the weight of discharged sludge. In this paper, we used the design of experiments to determine the parameters that affect the dryness of the final waste. Our study showed the significant parameters were the pump speed, the screw rotation speed, and the properties of inflowing sludge. Using the significant factors, a regression model was developed to predict the dryness of the final waste. Then, the regression model was used as the objective function of an optimization model to find the optimal settings of the screw press that maximizes the dryness of sludge. The optimum setting of the screw press increased the dryness of sludge by 2.3%, saving 387 metric tons of water annually. The financial effects of improving the dryness of the sludge leaving the screw press were calculated showing a reduction in disposal costs and reduction in water usage costs because the water extracted from the sludge is recycled. Further investigations showed that the amounts and types of chemicals used to pretreatment the inflowing sludge to the head box can affect the dryness of the sludge leaving the screw press.

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References

  1. Egenes TH, Helle T (1992) Flow characteristics and water removal from pulp suspensions in a screw press. J Pulp Paper Sci 18(3):J93–J99

    Google Scholar 

  2. Egenes TH, Helle T (1992) Transport and drainage processes in a screw press, as affected by material characteristics. In: Annual Meeting-Technical Section Canadian Pulp and Paper Association, vol 78, pp B173–B173

    Google Scholar 

  3. Egenes TH, Helle T, Bendiksen PB, Hegstad G (1995) Removal of water and contaminants from ONP stocks in a screw press : lowering feed consistency increases removal of fines components. Pulp Paper Canada 96(10):40–46

    Google Scholar 

  4. Meyer T, Amin P, Allen DG, Tran H (Oct. 2018) Dewatering of pulp and paper mill biosludge and primary sludge. J Environ Chem Eng 6(5):6317–6321. https://doi.org/10.1016/j.jece.2018.09.037

    Article  Google Scholar 

  5. Bredeson DK (1983) Mechanical oil extraction. J Am Oil Chem Soc 60(2):211–213. https://doi.org/10.1007/BF02543484

    Article  Google Scholar 

  6. Pradhan RC, Mishra S, Naik SN, Bhatnagar N, Vijay VK (2011) Oil expression from Jatropha seeds using a screw press expeller. Biosyst Eng 109(2):158–166. https://doi.org/10.1016/j.biosystemseng.2011.02.012

    Article  Google Scholar 

  7. Chapuis A, Blin J, Carré P, Lecomte D (2014) Separation efficiency and energy consumption of oil expression using a screw-press: the case of Jatropha curcas L. seeds. Ind Crop Prod 52:752–761. https://doi.org/10.1016/j.indcrop.2013.11.046

    Article  Google Scholar 

  8. Indartono YS, Heriawan H, Kartika IA (2019) Innovative and flexible single screw press for the oil extraction of Calophyllum seeds. Res Agric Eng 65(3):91–97, Oct. 2019. https://doi.org/10.17221/85/2018-RAE

    Article  Google Scholar 

  9. Fangueiro D, Senbayran M, Trindade H, Chadwick D (2008) Cattle slurry treatment by screw press separation and chemically enhanced settling: effect on greenhouse gas emissions after land spreading and grass yield. Bioresour Technol 99(15):7132–7142. https://doi.org/10.1016/j.biortech.2007.12.069

    Article  Google Scholar 

  10. Yan Q, Miazek K, Grande PM, Domínguez de María P, Leitner W, Modigell M (2014) Mechanical pretreatment in a screw press affecting chemical pulping of Lignocellulosic biomass. Energy Fuel 28(11):6981–6987. https://doi.org/10.1021/ef501706w

    Article  Google Scholar 

  11. Martínez ML, Marín MA, Salgado Faller CM, Revol J, Penci MC, Ribotta PD (2012) Chia (Salvia hispanica L.) oil extraction: study of processing parameters. LWT Food Sci Technol 47(1):78–82. https://doi.org/10.1016/j.lwt.2011.12.032

    Article  Google Scholar 

  12. Savoire R, Lanoisellé J-L, Vorobiev E (2013) Mechanical continuous oil expression from oilseeds: a review. Food Bioprocess Technol 6(1):1–16. https://doi.org/10.1007/s11947-012-0947-x

    Article  Google Scholar 

  13. Rombaut N, Savoire R, Thomasset B, Castello J, Van Hecke E, Lanoisellé J-L (2015) Optimization of oil yield and oil total phenolic content during grape seed cold screw pressing. Ind Crop Prod 63:26–33. https://doi.org/10.1016/j.indcrop.2014.10.001

    Article  Google Scholar 

  14. El idrissi B, Loranger É, Lanouette R, Bousquet JP, Martinez M (2019) Dewatering parameters in a screw press and their influence on the screw press outputs. Chem Eng Res Des 152:300–308. https://doi.org/10.1016/j.cherd.2019.10.001

    Article  Google Scholar 

  15. Sall J, Stephens ML, Lehman A, Loring S (2017) JMP start statistics: a guide to statistics and data analysis using JMP. SAS Institute, 6th Edition

    Google Scholar 

  16. FKC Co. LTD (2015) FKC Operation and maintenance manual for FKC sludge dewatering equipment, Pot Angeles, WA

  17. Montgomery DC (2017) Design and analysis of experiments. John Wiley & Sons

  18. Berry WD, Feldman S, Dr SF (1985) Multiple regression in practice. SAGE

  19. Kumanan S, Jesuthanam CP, Ashok Kumar R (2008) Application of multiple regression and adaptive neuro fuzzy inference system for the prediction of surface roughness. Int J Adv Manuf Technol 35(7):778–788. https://doi.org/10.1007/s00170-006-0755-4

    Article  Google Scholar 

  20. Zhao H, Han L, Liu Y, Liu X (2021) Modelling and interaction analysis of the self-pierce riveting process using regression analysis and FEA. Int J Adv Manuf Technol 113(1):159–176. https://doi.org/10.1007/s00170-020-06519-9

    Article  Google Scholar 

  21. Kuo C-C, Pietras S (2010) Applying regression analysis to improve dyeing process quality: a case study. Int J Adv Manuf Technol 49(1):357–368. https://doi.org/10.1007/s00170-009-2381-4

    Article  Google Scholar 

  22. Moore DS, McCabe GP, Craig BA (2016) Introduction to the Practice of Statistics, ninth edition. W. H. Freeman, New York

    Google Scholar 

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  1. Industrial and Manufacturing Engineering Department, California State Polytechnic University, Pomona, 3801 W Temple Ave, Pomona, CA, 91768, USA

    Shokoufeh Mirzaei & Luyu Shen

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  1. Shokoufeh Mirzaei
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  2. Luyu Shen
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All the authors contributed significantly to the work with the order provided.

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Correspondence to Shokoufeh Mirzaei.

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Mirzaei, S., Shen, L. Water disposal minimization of a screw press in the tissue manufacturing process. Int J Adv Manuf Technol 115, 2659–2667 (2021). https://doi.org/10.1007/s00170-021-07247-4

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