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ASEAN Journal of Chemical Engineering
Published by Universitas Gadjah Mada
ISSN : 26555409     EISSN : 26555409     DOI : https://doi.org/10.22146/ajche.52004
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry
The ASEAN Journal of Chemical Engineering publishes papers on Chemical Engineering, specifically but not limited to the areas of thermodynamics, reaction kinetics, transport phenomena, process control, environment, energy, biotechnology, corrosion, separation science, powder technology, materials science, and chemical engineering education
Arjuna Subject : Teknik Kimia (semua kategori) - Kimia Proses dan Teknologi
Articles 6 Documents
 1 
Search results for , issue "Vol 16, No 2 (2016)" : 6 Documents clear
Natural Surfactant from Fatty Acid of Morinda citrifolia L. for Deinking Flotation Trismawati Trismawati; I.N.G. Wardana; Nurkholis Hamidi; Mega Nur Sasongko
ASEAN Journal of Chemical Engineering Vol 16, No 2 (2016)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.588 KB) | DOI: 10.22146/ajche.49890

Abstract

Natural surfactant is developed as fatty acid derivate from natural resources such as palm oil, sunflower oil, and safflower oil. In South East Asia countries, the palm oil is used as the main resources of fatty acid derivate. Seed oil of Morinda citrifolia L. contains unsaturated fatty acid. It is extracted and concentrated. The concentrated fatty acid of Morinda citrifolia L. (CFAMC) is used as deinking surfactant. The CFAMC is analyzed by GCMS for its constituent and its deinking flotation performance is evaluated for yield, brightness, and ERIC of deinked pulp. Based on the old newspaper (ONP) pulp with brightness of 35.84 °ISO, and ERIC of 1982.4 ppm, the deinking flotation performance of CFAMC is approaching the natural surfactant. The brightness increase is 11.36% and 16.35%, and the ERIC reduction is 37.40% and 47.73% for CFAMC and natural surfactant respectively. SEM analysis is provided to see the residual Nanoink particles on the fibers.
Thermodynamics Analysis on Methane Hydrate Formation in Porous Carbon Wibiana W. Nandari; Imam Prasetyo; Moh. Fahrurrozi
ASEAN Journal of Chemical Engineering Vol 16, No 2 (2016)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.984 KB) | DOI: 10.22146/ajche.49891

Abstract

Methane is a potential alternative energy source which is abundant and produces lower CO2 emissions when it is used as fuel due to the content of C in the methane molecule is much lesser than its H content. Besides in a form of gas, methane in nature can also be in the form of methane hydrates. The formation process of methane hydrates in nature can be adopted as a method of storage of methane. In this study, a thermodynamics review will be studied related to temperature and pressure in a phase equilibrium system of methane hydrate . Thermodynamic model aims to predict the stability of methane hydrates for effective storage of methane. Each volume of methane hydrate contains as 164 volumes of methane gas under standard conditions ( STP ). The study was conducted by adsorbing methane on a wet porous carbon with the method of static volumetric.. The experimental results show that at the temperature of 274 K methane hydrates was formed at a pressure of 2.75 MPa; at a temperature of 275 K, pressure of 3.16 MPa; at a temperature of 276 K, pressure of 3.44 MPa, while at a temperature of 277 K, pressure of 3.67 MPa. Temperatures and pressures data are used to calculate the parameters of Langmuir equation constants modeled by the Van der Waals - Platteeuw for the chemical potential of water in the hydrate phase, Holder et al for the chemical potential of water in the liquid phase, as well as for the Gibbs-Thomson effect of porous carbon media.
Simulated Biosorption of Cd(II) and Cu(II) in Single and Binary Metal Systems by Water Hyacinth (Eichhornia crassipes) using Aspen Adsorption Adonis P. Adornado; Allan N. Soriano; Omar Nassif Orfiana; Mark Brandon J. Pangon; Aileen D. Nieva
ASEAN Journal of Chemical Engineering Vol 16, No 2 (2016)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2748.756 KB) | DOI: 10.22146/ajche.49892

Abstract

Biosorption is becoming an attractive alternative for the removal of heavy metal from contaminated wastewaters since it offers low capital and operating costs. It has a great potential on heavy metal decontamination and the possibility of metal recovery. The study evaluated the performance of water hyacinth (Eichhornia crassipes) in a fixed bed column on sequestering heavy metals present in wastewaters. Column breakthrough curves at varying parameters were evaluated. The study used Aspen Adsorption® to simulate the biosorption process. Analysis of breakthrough curves for the single metal system shows that increasing both influent flow rate and initial metal concentration reduces the metal uptake of the column, while increasing bed height enhances the metal uptake of the column. Presence of both Cd(II) and Cu(II) in the system promotes competitive sorption processes. Analysis of the breakthrough curves for the binary metal system showed that copper ions adsorbed to the adsorbent are replaced by cadmium ions when the maximum capacity of the column is reached. This leads to the outlet concentration of Cu(II) exceeding its initial concentration. This phenomenon shows that Cd(II) has more affinity with E. crassipes than Cu(II).
Natural Colorants from Cosmos Sulphureus Cav. and Tagetes Erecta L.: Extraction And Characterization Edia Rahayuningsih; Dyah A Wikansari; Hendrik Setiawan
ASEAN Journal of Chemical Engineering Vol 16, No 2 (2016)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1365.714 KB) | DOI: 10.22146/ajche.49893

Abstract

Ionic liquids demonstrated successful potential applications in the industry most specifically as the new generation of solvents for catalysis and synthesis in chemical processes, thus knowledge of their physico-chemical properties is of great advantage. The present work presents a mathematical correlation that predicts density of binary mixtures of ionic liquids with various alcohols (ethanol/methanol/1-propanol). The artificial neural network algorithm was used to predict these properties based on the variations in temperature, mole fraction, number of carbon atoms in the cation, number of atoms in the anion, number of hydrogen atoms in the anion and number of carbon atoms in the alcohol. The data used for the calculations were taken from ILThermo Database. Total experimental data points of 1946 for the considered binaries were used to train the algorithm and to test the network obtained. The best neural network architecture determined was found to be 6-6-10-1 with a mean absolute error of 48.74 kg/m3. The resulting correlation satisfactorily represents the considered binary systems and can be used accurately for solvent related calculations requiring properties of these systems.
Making of Nanopore NaA Zeolite Membranes for Saline Wastewater Treatment Mansoor Kazemimoghadam
ASEAN Journal of Chemical Engineering Vol 16, No 2 (2016)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1036.231 KB) | DOI: 10.22146/ajche.49894

Abstract

Zeolite membranes have been studied extensively for more than fifteen years, mainly focusing on gas separation and liquid pervaporation processes. Recently, molecular dynamic simulation has shown that zeolite membranes are theoretically suitable for ion removal from aqueous solutions. This work proposes to use zeolite membranes for desalination of saline recycled wastewater for the possibility of avoiding the costly treatment needed for saline wastewater by Conventional approaches. NaA zeolite membrane indicates that it may be possible to simultaneously separate ions and dissolved organic compounds from water by pervaporation (PV) processes. NaA zeolite membranes composed of a continuous intergrowth of NaA zeolite crystals have been prepared hydro thermally on the surface of porous tubular supports. In this research, synthesis of zeolite NaA membrane was investigated. SEM and XRD analysis have been used to confirm zeolite NaA membrane formation. Membrane performance has been evaluated using an experimental pervaporation setup. Effects of operation condition (temperature, rate and pressure) on the membrane structure and performance have been investigated for NaA zeolite membranes grown onto seeded mullite supports.
Analysis of Control Valves Stiction Quantification Tool H. Zabiri; M Gaberalla M K Elarafi
ASEAN Journal of Chemical Engineering Vol 16, No 2 (2016)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1962.557 KB) | DOI: 10.22146/ajche.49895

Abstract

Control valve stiction is considered as one of the main sources of control loops nonlinearities which impacts plants profitability. In turn, this phenomenon hinders the plant from being operated at optimal conditions. Therefore, an efficient and accurate stiction quantification algorithm is required for accurate stiction compensation and timely scheduling of control valve maintenance. This research investigates the robustness and recommends improvements to the previously developed stiction quantification approach by Zabiri et al. The approach was tested under several operating conditions which were simulated in five case studies by using MATLAB software. The case studies investigated the impact of a wide range of stiction values, controller tuning, disturbance, time delay and noise on the quantification approach. The algorithm was found to be robust since it quantified the correct values of stiction regardless of the operating conditions. It was found that the accuracy of the quantification results depends on the process model accuracy, number of data samples and the search resolution. A number of improvements were recommended and validated by simulation in order to further enhance the current quantification approach. As conclusion, the algorithm can be applied on any type of process due to its robustness.

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