Application of artificial neural network to predict water flux from pre-treated palm oil mill effluent using direct contact membrane distillation
Using computational models, engineers and researchers are able to observe the results of their research beyond the range of their tested experimental parameters. Process modelling resembles the approximation behaviour. This paper reports the development of a mathematical model in predicting the wate...
محفوظ في:
المؤلفون الرئيسيون: | Idris, Iylia, Ahmad, Zainal, Othman, Mohd. Roslee, Rohman, Fakhrony Sholahudin, Rushdan, Ahmad Ilyas, Azmi, Ashraf |
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التنسيق: | مقال |
منشور في: |
Elsevier Ltd
2022
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الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/101360/ http://dx.doi.org/10.1016/j.matpr.2022.04.084 |
الوسوم: |
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مواد مشابهة
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Application of artificial neural network to predict water flux from pre-treated palm oil mill effluent using direct contact membrane distillation
بواسطة: Idris, Iylia, وآخرون
منشور في: (2022) -
Direct Contact Membrane Distillation for Palm Oil Mill Effluent Treatment
بواسطة: Idris, Iylia
منشور في: (2016) -
Development of Bench-Scale Direct Contact Membrane Distillation System for Treatment of Palm Oil Mill Effluent
بواسطة: Yi, C. Wan, وآخرون
منشور في: (2023) -
Distillate flux enhancement of direct contact membrane distillation modules with inserting cross-diagonal carbon-fiber spacers
بواسطة: Ho, C.-D., وآخرون
منشور في: (2021) -
Distillate flux enhancement of the concentric circular direct contact membrane distillation module with spiral wired flow channel
بواسطة: Ho, C.-D., وآخرون
منشور في: (2019)