Pub Date : 2021-06-23DOI: 10.3329/cerb.v22i1.54311
M. Ahmad, Majed Alam Abir, M. Khan
Textile and apparel industries are the major role-players in the fast-growing economy of Bangladesh. However, the textile sector consumes a large amount of water for various wet processing operations. Currently 98% of the water used by local textile factories is groundwater, which is causing depletion of ground water levels at a high rate. Considering the gravity of groundwater crisis in future, Bangladesh Government and international brands and retailers are advocating local textile factories to reuse textile effluents and implement ZLD (zero liquid discharge) option in the upcoming years. However, it is a new concept for Bangladesh textile sector, and there is limited understanding regarding technical and economic issues associated to advanced treatment and reusing textile effluent. In this paper, a case study is presented to analyse the application of advanced membrane treatment of conventional ETP (effluent treatment plant) treated water of a denim washing factory. The corresponding technical and economic issues of water recycling and reusing were also analyzed. The selected denim washing factory runs a conventional biological effluent treatment plant (ETP) which satisfies the basic requirements of national and international standards. For advanced treatment, a mobile setup of ultrafiltration (UF) and reverse osmosis (RO) unit was used at factory premises to further treat ETP treated water. The advanced treatment was carried out for three different permeate to reject ratios to observe changes in the permeate and reject water quality. Capital expenditure and operational costs were also assessed to see the economic feasibility of the approach. This study will help local textile factories with real time data to understand the technical and economic issues associated to reusing textile wastewater as process water. Chemical Engineering Research Bulletin 21(2020) 127-132
{"title":"Technical and Economic Aspects of Reusing Textile Effluent as Process Water: A Case Study of Denim Washing Factory","authors":"M. Ahmad, Majed Alam Abir, M. Khan","doi":"10.3329/cerb.v22i1.54311","DOIUrl":"https://doi.org/10.3329/cerb.v22i1.54311","url":null,"abstract":"Textile and apparel industries are the major role-players in the fast-growing economy of Bangladesh. However, the textile sector consumes a large amount of water for various wet processing operations. Currently 98% of the water used by local textile factories is groundwater, which is causing depletion of ground water levels at a high rate. Considering the gravity of groundwater crisis in future, Bangladesh Government and international brands and retailers are advocating local textile factories to reuse textile effluents and implement ZLD (zero liquid discharge) option in the upcoming years. However, it is a new concept for Bangladesh textile sector, and there is limited understanding regarding technical and economic issues associated to advanced treatment and reusing textile effluent. In this paper, a case study is presented to analyse the application of advanced membrane treatment of conventional ETP (effluent treatment plant) treated water of a denim washing factory. The corresponding technical and economic issues of water recycling and reusing were also analyzed. The selected denim washing factory runs a conventional biological effluent treatment plant (ETP) which satisfies the basic requirements of national and international standards. For advanced treatment, a mobile setup of ultrafiltration (UF) and reverse osmosis (RO) unit was used at factory premises to further treat ETP treated water. The advanced treatment was carried out for three different permeate to reject ratios to observe changes in the permeate and reject water quality. Capital expenditure and operational costs were also assessed to see the economic feasibility of the approach. This study will help local textile factories with real time data to understand the technical and economic issues associated to reusing textile wastewater as process water. \u0000Chemical Engineering Research Bulletin 21(2020) 127-132","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73866424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-23DOI: 10.3329/cerb.v22i1.54307
Fahim Shahriar Sakib, Riazuddin Ahmed, E. A. Khan
Fire accidents are very frequent and a major issue in Bangladesh in recent times. In this paper fire growth behavior in an apartment building is studied through a numerical analysis using Fire Dynamic Simulator (FDS). A model apartment with fixed combustibles was created using FDS. The fire growth characteristics were studied and heat release rate, the rise of temperature, toxic gas dispersion and human evacuation were assessed. The fire was generated using a burner function. Computational analysis results from those models were analyzed and discussed. The relationship of wind and ventilation effect with time helps to predict the fire growth behavior in different location of the apartment. Evacuation modeling was created to illustrate the effect of evacuation time and fractional effective dose (FED) for different types of agents. FED is the summation of toxic gas consumption which is important for safe evacuation. The results show that the ventilation effect releases the heat and makes the apartment less vulnerable. Elderly people took more time for total evacuation than other groups that related to FED percentage. The idea of critical door length is demonstrated for safe evacuation during fire emergencies. Chemical Engineering Research Bulletin 21(2020) 99-105
{"title":"Study of Fire Growth Behavior in a Residential Apartment using Fire Dynamic Simulator","authors":"Fahim Shahriar Sakib, Riazuddin Ahmed, E. A. Khan","doi":"10.3329/cerb.v22i1.54307","DOIUrl":"https://doi.org/10.3329/cerb.v22i1.54307","url":null,"abstract":"Fire accidents are very frequent and a major issue in Bangladesh in recent times. In this paper fire growth behavior in an apartment building is studied through a numerical analysis using Fire Dynamic Simulator (FDS). A model apartment with fixed combustibles was created using FDS. The fire growth characteristics were studied and heat release rate, the rise of temperature, toxic gas dispersion and human evacuation were assessed. The fire was generated using a burner function. Computational analysis results from those models were analyzed and discussed. The relationship of wind and ventilation effect with time helps to predict the fire growth behavior in different location of the apartment. Evacuation modeling was created to illustrate the effect of evacuation time and fractional effective dose (FED) for different types of agents. FED is the summation of toxic gas consumption which is important for safe evacuation. The results show that the ventilation effect releases the heat and makes the apartment less vulnerable. Elderly people took more time for total evacuation than other groups that related to FED percentage. The idea of critical door length is demonstrated for safe evacuation during fire emergencies. \u0000Chemical Engineering Research Bulletin 21(2020) 99-105","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87829900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-23DOI: 10.3329/cerb.v22i1.54292
A. Quader
This is a reflection on the implementation of Shahjalal Fertilizer Project (SFP) what is today Shahjalal Fertilizer Co. Ltd. (SFCL). This deals with a wide range of issues covering technical, contractual, and administrative involving SFP, General Contractor, sub-contractors, Process Licensors and vendors. These arose because of mindset, interpretation of contract clauses, inexperience, expectation and frustration of both Owner and General Contractor. Lessons learned would enable BCIC to undertake such projects in future by avoiding pitfalls and missteps of SFP. Chemical Engineering Research Bulletin 21(2020) 1-13
{"title":"Shahjalal Fertilizer Company Limited (SFCL): in Retrospect","authors":"A. Quader","doi":"10.3329/cerb.v22i1.54292","DOIUrl":"https://doi.org/10.3329/cerb.v22i1.54292","url":null,"abstract":"This is a reflection on the implementation of Shahjalal Fertilizer Project (SFP) what is today Shahjalal Fertilizer Co. Ltd. (SFCL). This deals with a wide range of issues covering technical, contractual, and administrative involving SFP, General Contractor, sub-contractors, Process Licensors and vendors. These arose because of mindset, interpretation of contract clauses, inexperience, expectation and frustration of both Owner and General Contractor. Lessons learned would enable BCIC to undertake such projects in future by avoiding pitfalls and missteps of SFP. \u0000Chemical Engineering Research Bulletin 21(2020) 1-13","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74547560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-23DOI: 10.3329/cerb.v22i1.54298
Md Razu Ahmmed, Md. Ikramul Hasan, M. Mortuza, -. Mohammad Ismail
In this study, Pithraj (Aphanamixis polystachya) seed (PS) oil was used to produce biodiesel via trans-esterification process. The PS oil was extracted from seed using a soxhlet solvent extraction technique and the effect of temperature and heating rate on product distribution was investigated. The PS oil was pretreated (esterified) to combat the saponification reaction and other associated problems e.g., phase separation. The transesterification reactions were carried out and the optimum biodiesel yield was found 93.87%, when the reaction condition was as follows: addition of 50 wt.% methanol, 0.8 wt.% NaOH (both are on the basis of wt.% of PS oil addition), 60 °C reaction temperature and 90 min reaction time. Biodiesel produced from PS oil was characterized by various physico-chemical means and compared with international standards. The use of the produced biodiesel in blend with commercial diesel will bring a remarkable change in fuel economy of the country, will ensure a clean and safe environment and will demonstrate a way for ‘Waste to Energy’. Chemical Engineering Research Bulletin 21(2020) 43-48
{"title":"Preparationand Physico-Chemical Properties Evaluation of Biodiesel from Pithraj (Aphanamixis Polystachya)Seeds available in Bangladesh","authors":"Md Razu Ahmmed, Md. Ikramul Hasan, M. Mortuza, -. Mohammad Ismail","doi":"10.3329/cerb.v22i1.54298","DOIUrl":"https://doi.org/10.3329/cerb.v22i1.54298","url":null,"abstract":"In this study, Pithraj (Aphanamixis polystachya) seed (PS) oil was used to produce biodiesel via trans-esterification process. The PS oil was extracted from seed using a soxhlet solvent extraction technique and the effect of temperature and heating rate on product distribution was investigated. The PS oil was pretreated (esterified) to combat the saponification reaction and other associated problems e.g., phase separation. The transesterification reactions were carried out and the optimum biodiesel yield was found 93.87%, when the reaction condition was as follows: addition of 50 wt.% methanol, 0.8 wt.% NaOH (both are on the basis of wt.% of PS oil addition), 60 °C reaction temperature and 90 min reaction time. Biodiesel produced from PS oil was characterized by various physico-chemical means and compared with international standards. The use of the produced biodiesel in blend with commercial diesel will bring a remarkable change in fuel economy of the country, will ensure a clean and safe environment and will demonstrate a way for ‘Waste to Energy’. \u0000Chemical Engineering Research Bulletin 21(2020) 43-48","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75425786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-04DOI: 10.3329/cerb.v21i1.47368
Golshan Mazloom
The prediction capability of response surface methodology (RSM) and artificial neural network (ANN) models for propane selective oxidation to acrylic acid (AA) over Mo1V0.3Te0.23Nb0.12Ox catalyst was investigated in this work. 15 experimental runs based on the Box-Behnken design (BBD) were employed to study the effects of temperature (380 to 500 °C), superficial velocity (33.3 to 66.7 mL (min gcat)-1), (O2)/(C3H8) ratio (1 to 3) and their interactions on propane conversion, AA selectivity and COx selectivity. The quadratic polynomial BBD equations and the feed-forward back propagation ANN models were developed based on the designed experimental data. Statistical analysis; coefficient of determination (R2), mean absolute error (MAE) and analysis of variance (ANOVA) illustrated that there was acceptable adjustment between BBD and ANN predicted responses as compared to experimental data. While, the ANN model showed a clear preference and generalization capability over BBD model in the case of experimental data set which were not used to training the models. In addition the optimum conditions were found to be temperature (461.7 °C), GHSV (51.9 mL (min gcat)-1) and (O2)/(C3H8) ratio (2.1) which were determined by desirability function approach. In these conditions, propane conversion of 15.2%, AA selectivity of 32% and COx selectivity of 44% which obtained experimentally were in reasonable agreement with predicted responses. Chemical Engineering Research Bulletin 21(2019) 1-19
研究了响应面法(RSM)和人工神经网络(ANN)模型在Mo1V0.3Te0.23Nb0.12Ox催化剂上对丙烷选择性氧化制丙烯酸(AA)的预测能力。基于Box-Behnken设计(BBD)进行了15次实验，研究了温度(380 ~ 500℃)、表面流速(33.3 ~ 66.7 mL (min gcat)-1)、(O2)/(C3H8)比(1∶3)及其相互作用对丙烷转化率、AA选择性和COx选择性的影响。基于设计的实验数据，建立了二次多项式BBD方程和前馈反传播神经网络模型。统计分析;决定系数(R2)、平均绝对误差(MAE)和方差分析(ANOVA)表明，与实验数据相比，BBD和ANN预测反应之间存在可接受的调整。而在不使用实验数据集训练模型的情况下，ANN模型比BBD模型表现出明显的偏好和泛化能力。最佳条件为温度(461.7°C)、GHSV (51.9 mL (min gcat)-1)和(O2)/(C3H8)比(2.1)。在此条件下，丙烷转化率为15.2%，AA选择性为32%，COx选择性为44%，实验结果与预测结果基本一致。化工研究通报21(2019)1-19
{"title":"Modeling and Optimization of Propane Selective Oxidation to Acrylic Acid Over Mo 1 V 0.3 Te 0.23 NB 0.12 O X Catalyst Using Artificial Neural Network and Box-Behnken Design","authors":"Golshan Mazloom","doi":"10.3329/cerb.v21i1.47368","DOIUrl":"https://doi.org/10.3329/cerb.v21i1.47368","url":null,"abstract":"The prediction capability of response surface methodology (RSM) and artificial neural network (ANN) models for propane selective oxidation to acrylic acid (AA) over Mo1V0.3Te0.23Nb0.12Ox catalyst was investigated in this work. 15 experimental runs based on the Box-Behnken design (BBD) were employed to study the effects of temperature (380 to 500 °C), superficial velocity (33.3 to 66.7 mL (min gcat)-1), (O2)/(C3H8) ratio (1 to 3) and their interactions on propane conversion, AA selectivity and COx selectivity. The quadratic polynomial BBD equations and the feed-forward back propagation ANN models were developed based on the designed experimental data. Statistical analysis; coefficient of determination (R2), mean absolute error (MAE) and analysis of variance (ANOVA) illustrated that there was acceptable adjustment between BBD and ANN predicted responses as compared to experimental data. While, the ANN model showed a clear preference and generalization capability over BBD model in the case of experimental data set which were not used to training the models. In addition the optimum conditions were found to be temperature (461.7 °C), GHSV (51.9 mL (min gcat)-1) and (O2)/(C3H8) ratio (2.1) which were determined by desirability function approach. In these conditions, propane conversion of 15.2%, AA selectivity of 32% and COx selectivity of 44% which obtained experimentally were in reasonable agreement with predicted responses. \u0000Chemical Engineering Research Bulletin 21(2019) 1-19","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79862417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-04DOI: 10.3329/cerb.v21i1.47372
L. Gurchumelia, M. Tsarakhov, Salome Tkemaladze, F. Bejanov, L. Tkemaladze
The main goal of this research is the fabrication of halogen free, environmentally friendly fire-extinguishing powders using local mineral raw materials and the development of technological processes for producing highly efficient fire-extinguishing foam-suspensions on the basis of the produced powders. Fire-extinguishing powders are made by mechanical treatment and mixing of raw materials: zeolite, clay shale, perlite and ammophos. The process does not need introduction of expensive, halogen-containing, hydrophobizators and ensures the cost-effective production of fireextinguishing powders. The obtained fire-extinguishing powders are characterized by high performance properties, high fire-extinguishing capacity and coefficient of atomic oxygen recombination. Thus, they are characterized both by homogeneous and heterogeneous inhibition of combustion processes. The efficiency of the produced powders is not inferior to that of standard powders of common production. In addition, in contrast to their traditional analogs they are halogen free, environmentally friendly and cheaper (1.2-2 times cheaper). The obtained powders, unlike the ones of conventional production, have good compatibility with water and foam. Our foam-suspensions are prepared just by mechanical mixing of fire-extinguishing powders with water and surface-active substances – foamers. The process does not require chemical treatment of materials. Thus, the developed technology is simple and cost-effective. The foamsuspensions produced on the basis of the obtained powders have higher heat capacity, permeability, wetting effect like water and foam and unlike them, they allow for homogeneous as well as heterogeneous inhibition of the burning process. Thus, the so produced foam-suspensions will have higher extinguishing effect than water, foams or powders, taken separately. Based on the above, it can be suggested that the produced powders can be used for extinguishing all types of fires, including large-scale ones in a combination with water and foams.
{"title":"Production and Performance Evaluation of Noble Fire Extinguishing Foam Suspensions Using Locally Available and Environmentally Friendly Natural Mineral Raw Materials","authors":"L. Gurchumelia, M. Tsarakhov, Salome Tkemaladze, F. Bejanov, L. Tkemaladze","doi":"10.3329/cerb.v21i1.47372","DOIUrl":"https://doi.org/10.3329/cerb.v21i1.47372","url":null,"abstract":"The main goal of this research is the fabrication of halogen free, environmentally friendly fire-extinguishing powders using local mineral raw materials and the development of technological processes for producing highly efficient fire-extinguishing foam-suspensions on the basis of the produced powders. Fire-extinguishing powders are made by mechanical treatment and mixing of raw materials: zeolite, clay shale, perlite and ammophos. The process does not need introduction of expensive, halogen-containing, hydrophobizators and ensures the cost-effective production of fireextinguishing powders. The obtained fire-extinguishing powders are characterized by high performance properties, high fire-extinguishing capacity and coefficient of atomic oxygen recombination. Thus, they are characterized both by homogeneous and heterogeneous inhibition of combustion processes. The efficiency of the produced powders is not inferior to that of standard powders of common production. In addition, in contrast to their traditional analogs they are halogen free, environmentally friendly and cheaper (1.2-2 times cheaper). The obtained powders, unlike the ones of conventional production, have good compatibility with water and foam. Our foam-suspensions are prepared just by mechanical mixing of fire-extinguishing powders with water and surface-active substances – foamers. The process does not require chemical treatment of materials. Thus, the developed technology is simple and cost-effective. The foamsuspensions produced on the basis of the obtained powders have higher heat capacity, permeability, wetting effect like water and foam and unlike them, they allow for homogeneous as well as heterogeneous inhibition of the burning process. Thus, the so produced foam-suspensions will have higher extinguishing effect than water, foams or powders, taken separately. Based on the above, it can be suggested that the produced powders can be used for extinguishing all types of fires, including large-scale ones in a combination with water and foams.","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79491351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-04DOI: 10.3329/cerb.v21i1.47369
Anil Kumar, Avinash Thakur
Since some previous years, reactive extraction has become more attractive and competitive technique for the separation and purification of lower carboxylic acids from fermentation broth as well as from dilute aqueous streams. This paper shows the results of investigation of reactive extraction of lactic acid (LA) from an aqueous solution using the synergistic mixture of the extractants (TOA (tri-n-octylamine) and TOMAC (Tri-n-octylmethylammonium chloride)) and a non-toxic and biocompatible green solvent (soybean oil). Three-level Box-Behnken design (BBD) under response surface methodology (RSM) was opted for the experimental design and to interpret the mutual effect of seven independent process parameters on the LA distribution coefficient (KD). The maximum values of LA distribution coefficient (KD=2.51) and its extraction efficiency (ηη=71.5%) were obtained for the optimum values of various process parameters such as 0.02 [M] initial LA concentration (CC1), 0.5 (v/v) extractant ratio (α), 28.66% (v/v) mixed extractants concentration (ψ), 2 (v/v) phase ratio (φ), 270C temperature (T), 102 rpm stirring speed (ω), and 63 mincontact time (τ). This present investigation will provide a noble discussion on LA reactive extraction using green solvent and on various influencing process parameters for gaining the enhanced value of LA distribution coefficient (KD). Chemical Engineering Research Bulletin 21(2019) 20-35
{"title":"Statistical Optimization of Lactic Acid Extraction Using Green Solvent and Mixed Extractants (TOA and TOMAC)","authors":"Anil Kumar, Avinash Thakur","doi":"10.3329/cerb.v21i1.47369","DOIUrl":"https://doi.org/10.3329/cerb.v21i1.47369","url":null,"abstract":"Since some previous years, reactive extraction has become more attractive and competitive technique for the separation and purification of lower carboxylic acids from fermentation broth as well as from dilute aqueous streams. This paper shows the results of investigation of reactive extraction of lactic acid (LA) from an aqueous solution using the synergistic mixture of the extractants (TOA (tri-n-octylamine) and TOMAC (Tri-n-octylmethylammonium chloride)) and a non-toxic and biocompatible green solvent (soybean oil). Three-level Box-Behnken design (BBD) under response surface methodology (RSM) was opted for the experimental design and to interpret the mutual effect of seven independent process parameters on the LA distribution coefficient (KD). The maximum values of LA distribution coefficient (KD=2.51) and its extraction efficiency (ηη=71.5%) were obtained for the optimum values of various process parameters such as 0.02 [M] initial LA concentration (CC1), 0.5 (v/v) extractant ratio (α), 28.66% (v/v) mixed extractants concentration (ψ), 2 (v/v) phase ratio (φ), 270C temperature (T), 102 rpm stirring speed (ω), and 63 mincontact time (τ). This present investigation will provide a noble discussion on LA reactive extraction using green solvent and on various influencing process parameters for gaining the enhanced value of LA distribution coefficient (KD). \u0000Chemical Engineering Research Bulletin 21(2019) 20-35","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91548967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-04DOI: 10.3329/cerb.v21i1.47371
Amol A. Bhusari, B. Mazumdar, A. Rathod
This paper focuses on the optimization of energy consumption in esterification of acetic acid wherein the water removal is achieved by using silica gel desiccant in a microcontroller based automated reactor. Esterification reactions are endothermic hence, one can get more product, by increasing the temperature, thus disturbing the equilibrium. Heat of reaction (Hr) was estimated by using the heat capacity data and constants (C). Energy analysis and modelling was developed for the enhancement of process which is the key component of the systems. The mathematical model is validated by experimental results. In this paper, effect of parameters like desiccant weight, regeneration temperature and molar ratio on energy consumption are studied. Trends of energy effectiveness of several parameters are presented in the various regeneration temperatures and molar ratio and desiccant weight which confirmed the linear relationship with hot air flowrate. Decrease of 33% in power consumption was observed by decreasing the hot air flowrate by 10%.This is the conformity of validation of affinity law. The newly invented model was optimized for variables, hot air temperature, molar ratio and silica gel weight. The minimum energy consumption at 1 desirability was reported by software in the given range of parameters. When the hot air temperature, molar ratio and silica gel weight were 67.67C, 3 and 34.32 gm, then the minimum value of energy consumption was 29.59 Watt.
{"title":"Optimization of Energy Consumption in Acetic Acid and N-Butanol Esterification Reaction with Simultaneous Water Removal Using Novel Microcontroller Based Automated Reactor","authors":"Amol A. Bhusari, B. Mazumdar, A. Rathod","doi":"10.3329/cerb.v21i1.47371","DOIUrl":"https://doi.org/10.3329/cerb.v21i1.47371","url":null,"abstract":"This paper focuses on the optimization of energy consumption in esterification of acetic acid wherein the water removal is achieved by using silica gel desiccant in a microcontroller based automated reactor. Esterification reactions are endothermic hence, one can get more product, by increasing the temperature, thus disturbing the equilibrium. Heat of reaction (Hr) was estimated by using the heat capacity data and constants (C). Energy analysis and modelling was developed for the enhancement of process which is the key component of the systems. The mathematical model is validated by experimental results. In this paper, effect of parameters like desiccant weight, regeneration temperature and molar ratio on energy consumption are studied. Trends of energy effectiveness of several parameters are presented in the various regeneration temperatures and molar ratio and desiccant weight which confirmed the linear relationship with hot air flowrate. Decrease of 33% in power consumption was observed by decreasing the hot air flowrate by 10%.This is the conformity of validation of affinity law. The newly invented model was optimized for variables, hot air temperature, molar ratio and silica gel weight. The minimum energy consumption at 1 desirability was reported by software in the given range of parameters. When the hot air temperature, molar ratio and silica gel weight were 67.67C, 3 and 34.32 gm, then the minimum value of energy consumption was 29.59 Watt.","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81107193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-06DOI: 10.3329/CERB.V20I1.36923
Nahid Sanzida
The paper presents an industrial case study example to evaluate the performance of the linear time varying (LTV) perturbation model based iterative learning control (ILC) in a pilot scale batch system. The operating data based strategy applied here is based on utilizing the repetitive nature of batch processes to update the operating trajectories using process knowledge obtained from previous runs and thereby providing a convergent batch-to-batch improvement of the process performance indicator. The method was applied to determine the required drying temperature of Paracetamol granules to obtain desired moisture content at the end of the batch. After granulation operations, Paracetamol granules were dried in a fluid bed dryer in the pilot plant laboratory of GlaxoSmithKline Bangladesh Limited, Chittagong, Bangladesh. These results demonstrate the potential of the ILC approach for controlling batch processes without rigorous process models.Chemical Engineering Research Bulletin 20(2018) 1-7
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Pub Date : 2018-06-06DOI: 10.3329/CERB.V20I1.36928
Ali A. Jazie
Prigogine–Flory–Patterson (P-F-P) theory was applied for the correlation the experimental data of excess molar volume for the binary liquid mixture of DBSA-Acetone at the temperature range of (293.15-303.15 K). The three contribution terms (pressure, interaction and free volume) in the P-F-P equation were compared with the total effect of P-F-P equation. A positive excess molar volume were obtained at all the range of mole fraction and at all the temperatures. The maximum value of excess molar volume was positioned at the 0.4 mole fraction. Eyring-Flory-Huggins theory was found useful in the estimation of the viscosity deviation variation with mole fraction at the same temperature range. A negative deviation was found in the viscosity for all the range of temperature and mole fraction. The maximum deviation in the viscosity was found at the mole fraction of 0.4. The increase in the negative deviation values with temperature was interpreted as a result of the decrease in the attractive forces between the like molecules.Chemical Engineering Research Bulletin 20(2018) 30-35
{"title":"Thermodynamic properties of the dodecylbenzenesulfonic acid-acetone binary liquid mixture using a modified flory theory","authors":"Ali A. Jazie","doi":"10.3329/CERB.V20I1.36928","DOIUrl":"https://doi.org/10.3329/CERB.V20I1.36928","url":null,"abstract":"Prigogine–Flory–Patterson (P-F-P) theory was applied for the correlation the experimental data of excess molar volume for the binary liquid mixture of DBSA-Acetone at the temperature range of (293.15-303.15 K). The three contribution terms (pressure, interaction and free volume) in the P-F-P equation were compared with the total effect of P-F-P equation. A positive excess molar volume were obtained at all the range of mole fraction and at all the temperatures. The maximum value of excess molar volume was positioned at the 0.4 mole fraction. Eyring-Flory-Huggins theory was found useful in the estimation of the viscosity deviation variation with mole fraction at the same temperature range. A negative deviation was found in the viscosity for all the range of temperature and mole fraction. The maximum deviation in the viscosity was found at the mole fraction of 0.4. The increase in the negative deviation values with temperature was interpreted as a result of the decrease in the attractive forces between the like molecules.Chemical Engineering Research Bulletin 20(2018) 30-35","PeriodicalId":9756,"journal":{"name":"Chemical Engineering Research Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89639776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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