Modeling and optimization of flash heating process conditions for activated carbon production using Response Surface Methodology (RSM)

被引:0
|
作者
Kilic, Murat [1 ]
Bekman, M. Emir [1 ]
Bodur, Fatih [1 ]
Yildiz, Agah [1 ]
Varol, Esin Apaydin [1 ]
机构
[1] Eskisehir Tech Univ, Chem Engn Dept, TR-26555 Eskisehir, Turkiye
关键词
Activated carbon; Flash heating; Optimization; Response surface methodology; Central composite design; PYROLYSIS CONDITIONS; REMOVAL; BIOMASS; DESIGN; WASTE; SHELL; AREA;
D O I
10.1016/j.diamond.2025.112239
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Activated carbon, a versatile material with wide-ranging applications, faces challenges in traditional production methods, particularly in slow heating processes. This study addresses these challenges by proposing an alternative approach-flash heating. Building upon insights from prior studies, this study shifts the focus towards modeling and optimizing flash heating conditions using Response Surface Methodology (RSM) based on central composite rotatable design (CCRD) to establish an in-depth understanding of key variables, aiming to improve production efficiency and activated carbon characteristics. A full 23 factorial design was used to investigate the effects of activation temperature, activation time, and impregnation ratio on flash heated activated carbon production. Under optimum conditions maximum surface area of activated carbon was determined as 1278.2 m2/g at 850 degrees C final activation temperature applying 10 min activation time using 2:1 KOH: biomass wt/wt impregnation ratio. The difference between the experimental and predicted values at the optimum conditions showed that the model was effective for studying the influence of the process parameters on the chemically activated carbon production. The proposed methodology has the potential to revolutionize activated carbon production, offering a more sustainable, cost-effective, and industrially feasible solution with broader applications in environmental remediation and industrial processes.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Multiple Response Optimization of Abrasive Water Jet Cutting Process using Response Surface Methodology (RSM)
    Perec, Andrzej
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), 2021, 192 : 931 - 940
  • [42] Optimization of adsorption parameters of activated carbon modified with the oxidizing agent on adsorptive removal of toluene using response surface methodology (RSM)
    Khoshakhlagh, Amir Hossein
    Beygzadeh, Mojtaba
    Golbabaei, Farideh
    Carrasco-Marin, Francisco
    Shahtaheri, Seyed Jamaleddin
    JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY, 2021, 42 (14) : 2101 - 2115
  • [43] Optimization of Keratin Sponge Preparation Conditions for Hemostatic Application Using Response Surface Methodology (RSM)
    Gholamreza Goudarzi
    Fatemeh Dadashian
    Alireza Vatanara
    Zargham Sepehrizadeh
    Journal of Polymers and the Environment, 2024, 32 : 1135 - 1149
  • [44] Optimization of Keratin Sponge Preparation Conditions for Hemostatic Application Using Response Surface Methodology (RSM)
    Goudarzi, Gholamreza
    Dadashian, Fatemeh
    Vatanara, Alireza
    Sepehrizadeh, Zargham
    JOURNAL OF POLYMERS AND THE ENVIRONMENT, 2024, 32 (03) : 1135 - 1149
  • [45] Optimization of Conditions for Anthocyanin Hydrolysis from Red Wine Using Response Surface Methodology (RSM)
    Pinho, Carina
    Melo, Armindo
    Mansilha, Catarina
    Ferreira, Isabel M. P. L. V. O.
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2011, 59 (01) : 50 - 55
  • [46] Leachate effluent COD removal using electrocoagulation: a response surface methodology (RSM) optimization and modeling
    Rabahi, Amel
    Hauchard, Didier
    Arris, Sihem
    Berkani, Mohammed
    Achouri, Ouafa
    Meniai, Abdeslam Hassen
    Bencheikh-Lehocine, Mossaab
    DESALINATION AND WATER TREATMENT, 2018, 114 : 81 - 92
  • [47] Biotransformation of Agricultural Wastes into Lovastatin and Optimization of a Fermentation Process Using Response Surface Methodology (RSM)
    Javed, Sadia
    Azeem, Muhammad
    Mahmood, Saqib
    Al-Anazi, Khalid Mashay
    Abul Farah, Mohammad
    Ali, Sajad
    Ali, Baber
    AGRONOMY-BASEL, 2022, 12 (11):
  • [48] Process optimization of low calorie and fiber enriched 'Sandesh' using response surface methodology (RSM)
    Rai, Himanshu Kumar
    Rai, Dinesh Chandra
    Arvind
    Saloni
    ANNALS OF PHYTOMEDICINE-AN INTERNATIONAL JOURNAL, 2020, 9 (01): : 229 - 236
  • [49] Production and optimization of NaCl-activated carbon from mango seed using response surface methodology
    Aaron Dzigbor
    Annie Chimphango
    Biomass Conversion and Biorefinery, 2019, 9 : 421 - 431
  • [50] Optimization of chemical activation of cotton fabrics for activated carbon fabrics production using response surface methodology
    Salehi, Razieh
    Dadashian, Fatemeh
    Abedi, Mohammad
    Hasani, Binazir
    JOURNAL OF THE TEXTILE INSTITUTE, 2018, 109 (12) : 1586 - 1594