Anantpinijwatna, Amata

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Preferred name
Anantpinijwatna, Amata
Alternative Name
Anantpinijwatna, A.
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Email
amata.an@kmitl.ac.th

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    The kinetic model and temperature effect of Caulerpa Lentillifera drying process
    (2018-10-29)
    Anantpinijwatna, Amata
    ;
    Nuntamongkol, Sitanan
    ;
    Tudkesorn, Benjamaporn
    ;
    Sukchoy, Orawan
    ;
    Deetae, Pawinee
    The drying mechanism of the seaweed, Caulerpa Lentillifera, at different temperature were studied. This involved the modelling of the drying kinetic and the studied of the effect of the relative humidity. Five empirical drying kinetic models of Newton, Page, Modified Page, Logarithmic, and Henderson-Pabis were fitted to the experimental data with the kinetic parameters following the modified Arrhenius equation. The decency of the fit of different model was statistically evaluated. Moreover, the milestones for optimization of the drying procedure towards the energy preservation and the valuable constituent saving have been set through the modelling of the drying process energy consumption and the studied of the effect of drying temperature to the seaweed physical appearance. This work should be an interesting starting point for the further study, analysis, and improvement of the Caulerpa Lentillifera drying process.
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    Optimization of dimethyl ether production process synthesis using superstructure analysis
    (2018-08-14)
    Laiwatthanaphaisarn, Teerapat
    ;
    Anantpinijwatna, Amata
    Current world energy consumption is likely to increase over time. This is due to the growth of industry and transportation. The most important and most used energy sources are crude oil and natural gas. The consumption of energy is increasing continuously due to the economic expansion of the world fleet. At present, prices of primary energy sources such as oil and natural gas tend to increase. In addition, oil and gas are limited and likely to run out in the future. Currently, research and research on alternative energy is ongoing. To find the best alternative energy to replace in the future. Dimethyl ether is a substance that can be used as a substitute for liquefied petroleum gas (LPG) because of its similar physical properties. Most of them are used as fuel in vehicles. In addition, dimethyl ether is easier to liquefy than liquefied petroleum gas, giving advantages in terms of storage and transport, and a higher cetane value that can be used in the vehicle. Dimethyl ether is a substance that will burn completely. Dimethyl ether production has a wide variety of options. If the best option is difficult to analyse because of the complexity of the solution. Superstructure analysis will help to find alternatives for the production of dimethyl ether. Superstructure will identify the most economical alternative. The mathematical model is applied to the existing production process and new alternatives. In this work, the alternatives to produce dimethyl ether are displayed and the optimum alternative are chosen.
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    Computer-aided solvent selection for multiple scenarios operation of limited-known properties solute
    (2017-12-14)
    Anantpinijwatna, Amata
    Solvents have been applied for both production and separation of the complex chemical substance such as the pyrrolidine-2-carbonyl chloride (C<inf>5</inf>H<inf>8</inf>ClNO). Since the properties of the target substance itself are largely unknown, the selection of the solvent is limited by experiment only. However, the reaction carried out in conventional solvents are either afforded low yields or obtained slow reaction rates. Moreover, the solvents are also highly toxic and environmental unfriendly. Alternative solvents are required to enhance the production and lessen the harmful effect toward both organism and environment. A costly, time-consuming, and laborious experiments are required for acquiring a better solvent suite for production and separation of these complex compounds; whereas, a limited improvement can be obtained. On the other hand, the combination of the state-of-the-art thermodynamic models can provide faster and more robust solutions to this solvent selection problem. In this work, a framework for solvents selection in complex chemical production process is presented. The framework combines a group-contribution thermodynamic model and a segment activity coefficient model for predicting chemical properties and solubilities of the target chemical in newly formulated solvents. A guideline for solvent selection is also included. The potential of the selected solvents is then analysed and verified. The improvement toward the production yield, production rate, and product separation is then discussed.