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Volume 12 Issue 2 November - January 2017

Research Paper

High Temperature Application of Oil Of Vitriol for Hydrometallurgical Extraction of Manganese

Dr. S.V.A.R. Sastry*

Senior Assistant Professor, Department of Chemical Engineering, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India.

Sastry, S.V.A.R., (2017). High Temperature Application of Oil Of Vitriol for Hydrometallurgical Extraction of Manganese. i-manager’s Journal on Future Engineering and Technology, 12(2), 1-8. https://doi.org/10.26634/jfet.12.2.10360

Abstract

The current study assesses the prospect of selective leaching of Manganese (Mn) from complex, in a high temperature sulphuric acid medium. The factors affecting the sulphuric acid leaching of the manganese complex in presence of various parameters were investigated. The three variables studied were temperature of leaching medium, leaching o o time, and concentration of sulphuric acid. Experiments were carried out at temperature ranging from 40 C to 110 C, time from 30 minutes to 150 minutes and sulphuric acid concentration from 2% to 6%. The feed ratio is 1:3 (5g MnSO + 4 15g impurities). The feed prepared is in close resemblance to pyrolusite ore. Manganese leaching amount was measured by using the standard manganese concentration curve and estimated by titration method. Effects of various acid concentrations on leaching efficiency were studied. The optimum conditions established for maximum metal O extraction are: 100 C temperature, 120 minutes time, and 5% concentrated sulphuric acid. Under these conditions, recovery of Mn was 98%, and the leached residues were analyzed. The present process may find application of separation of manganese from iron and aluminium at high temperature during various hydrometallurgical treatment of manganese based ores.

References

[1]. Abbruzzese, Y., (1987). “Aqueous SO2 processing of manganese ores”. In Davis, G.A. (Ed.), Separation Processes in Hydrometallurgy. Ellis Horwood Ltd., Chichester, pp. 77–87.

[2]. Cheng, Z., Zhu, G., and Zhao, Y., (2009). “Study in reduction roast leaching manganese from low grade manganese dioxide ores using cornstalk as reductant”. Hydrometallurgy, Vol. 96, pp. 176–179.

[3]. Ghosh, M.K., Barik, S.P., and Anand, S., (2008). “Sulfuric acid leaching of polymetallic nodules using paper as a reductant”. Trans. Indian Inst. Metals, Vol. 61, pp. 477–481.

[4]. Mishra, D., Srivastava, R.R., Sahu, K.K., Singh, T.B., and Jana, R.K., (2011). “Leaching of roast-reduced manganese nodules in NH –(NH ) CO medium”. 3 4 2 3 Hydrometallurgy, Vol. 109, pp. 215–220.

[5]. Mohammad, A.S., Saeid, A.M., and Nooshin, R., (2012). “The effect of type and concentration of surfactant and ligand on uranium (VI) Cloud-Point Extraction (CPE) from aqueous solutions”. Australian Journal of Basic and Applied Sciences, Vol. 5, No. 8, pp. 1008-1013.

[6]. Mohwinkel, D., Kleint, C., and Koschinsky, A., (2014). “Phase associations and potential selective extraction methods for selected high-tech metals from ferromanganese nodules and crusts with siderophores”. Appl. Geochem., Vol. 43, pp. 13–21.

[7]. Randhawa, N.S., Hait, J., and Jana, R.K., (2015). “A brief overview on manganese nodules processing signifying the detail in the Indian context highlighting the international scenario”. Hydrometallurgy.

[8]. Samanta, A., Ojha, K., Madal, A., and Sarkar, A., (2013). “Extraction and characterization of an eco friendly surfactant for its use in enhanced oil recovery”. J. Pet. Eng. Technol., Vol. 3, pp. 20–29.

[9]. Su, H., Wen, Y., Wang, F., Sun, Y., and Tong, Z., (2008). “Reductive leaching of manganese from low grade manganese ore in H SO using cane molasses as 2 4 reductant”. Hydrometallurgy, Vol. 93, No. 3-4, pp. 136–139.

[10]. Tan, K., Li, C., Liu, J., Qu, H., Xia, L., Hu, Y., and Li, Y., (2014). “A novel method using a complex surfactant for insitu leaching of low permeable sandstone uranium deposits”. Hydrometallurgy, Vol. 150, pp. 99–106.

[11]. Tang, Q., Zhong, H.,Wang, S., Li, J.-Z., and Liu, G.Y., (2014). “Trans reductive leaching of manganese oxide ores using waste tea as reductant in sulphuric acid solution”. Trans. Nonferrous Metals Soc. China, Vol. 24, pp. 861–867.

[12]. Tian, X., Wen, X., Tang, C., Liang, Y., Pi, Z., and Wang, Y., (2010). “Reductive leaching of manganese from lowgrademanganese dioxide ores using corncob as reductant in sulphuric acid solution”. Hydrometallurgy, Vol. 100, No. 3-4, pp. 157–160.

[13]. Xue, J., Zhong, H.,Wang, S., Li, C., Li, J., and Wu, F., (2014). “Kinetics of reduction leaching of manganese dioxide ore with Phytolacca americana in sulfuric acid solution”. J. Saudi Chem. Soc.

[14]. Zhuo, Y.L., Yue, H.H., and Wen, Q.Q., (2009). “Effect of surfactant OPD on the bioleaching of marmatite”. Miner. Eng., Vol. 22, pp. 10–13.

[15]. Barik, R., et al., (2015). “Micellar mediated selective leaching of manganese nodule in high temperature sulfuric acid medium”. Hydrometallurgy.

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Research Paper

COD Removal of Coal Gasifier Effluent by Electro Coagulation and Optimization Using Response Surface Methodology

Uma Shankar B.* , Chandana Lakshmi M.V.V., V. Sridevi*, Neelima Chandra Lekha L.****

* Postgraduate, Industrial Pollution Control Engineering, Andhra University, Andhra Pradesh, India.

,* Professor, Department of Chemical Engineering, Andhra University, Andhra Pradesh, India.

**** Assistant Professor, Department of Chemical Engineering, SVKR Engineering College, Andhra Pradesh, India.

Shankar, B.U., Lakshmi, M.V.V.C., Sridevi, V., and L. Neelima Chandra Lekha (2017). COD Removal of Coal Gasifier Effluent by Electro Coagulation and Optimization Using Response Surface Methodology. i-manager’s Journal on Future Engineering and Technology, 12(2), 9-15. https://doi.org/10.26634/jfet.12.2.10361

Abstract

Coal Gasification is considered as an ace technology compared to other non renewable energy producing technologies such as petroleum and natural gas. The effluent generated from coal gasification contains high amounts of organic and toxic compounds. The present work is focused on removal of COD from the Coal Gasifier effluent by Electro-Coagulation (EC) using Aluminium electrode. The purpose of this research is to reduce the pollution, which is generally caused by Coal Gasifier effluent. In the process of EC, metal cations are released into water through dissolving metal electrodes. Simultaneously, beneficial side reactions can remove flocculated material from the water, which is an advanced alternative for chemical coagulation and flocculation. The electrochemical reactor performance was analysed in batch reactor of the effluent having constant inter-electrodes distance. The effect of process parameters such as Electrolysis Time, pH, and Voltage on COD removal % was studied. During EC process, the optimum values of process parameters are found to be Electrolysis Time-60 min, pH-8, and Voltage-9 V. The parameters used in this experiment were optimized by using Response Surface Methodology. It has been observed that the predicted values are in good agreement with experimental values with a correlation coefficient of 0.998.

References

[1]. APHA, AWWA, WEF, (1995). Standard Methods for the th Examination of Water and Wastewater. 19 Ed. APHA, Washington, USA.

[2]. Asaithambi, P., and Manickam Matheswaran, (2011). “Electrochemical treatment of simulated sugar industrial effluent: Optimization and modeling using a response surface methodology”. Arabian Journal of Chemistry, pp. S981-S987.

[3]. Balasubramanian N., and Madhavan., K. (2001). “Arsenic removal from industrial effluent through electrocoagulation”. Chemical Engineering Technology, Vol. 24, pp. 519-521.

[4]. Gürses, A., Yalçina, M., and Do ar, C., (2002). “Electro-Coagulation of some reactive dyes: A statistical investigation of some electrochemical variables”. Waste Management, Vol. 22, No. 5, pp. 491–494.

[5]. Güven, G., Perendeci, A., and Tanyolaç, A., (2008). “Electrochemical treatment of deproteinated whey wastewater and optimization of treatment conditions with response surface methodology”. Journal of Hazardous Materials, Vol. 157, No. 1, pp. 69–78.

[6]. Güven, G., Perendeci, A., and Tanyolaç, A., (2009). “Electrochemical treatment of simulated beet sugar factory wastewater”. Chemical Engineering Journal, Vol. 151, No. 1–3, pp. 149–159.

[7]. Kumarasinghe, D. L. Pettigrew, and L.D. Nghiem, (2009). “Removal of heavy metals from mining impacted water by an electro coagulation-ultra filtration hybrid process”. Desalination and Water Treatment, Vol. 11, pp. 66-72.

[8]. Manisankar, P., Viswanathan, S., and Rani, C., (2003). “Electrochemical treatment of distillery effluent using catalytic anode”. Green Chemistry, pp. 270–274.

[9]. Mancera, A., Fierro, V., Pizzi, A., Dumarc¸ ay, S., Gerardind, P.,Velasquez, J., Quintana, G., and Celzard, A., (2010). “Physicochemical characterisation of sugar cane bagasse lignin oxidized by hydrogen peroxide”. Polymer Degradation and Stability, Vol. 95, No. 4, pp. 470–476.

[10]. Montgomery, D.C., (2002). Design and Analysis of rd Experiments, 3 Ed., Wiley, New York.

[11]. Norulaini, N.A.N., (2001). “Chemical coagulation of settle able solid-free Palm Oil Mill Effluent (POME) for organic load reduction”. J. Ind. Technol., Vol. 10, pp. 55-72.

[12]. Otto, M., (1999). Chemometrics: Statistics and Computer Applications in Analytical Chemistry. Wiley- VCH, Chichester.

[13]. Sachin Madhavrao Kanawade, (2016). “Treatment on industrial effluent by using activated carbon prepared from animal horns as adsorbent”. International Journal of Advanced Research and Development, Vol. 1(3), pp. 49-54.

[14]. V. Sridevi, et al., (2016). “Removal of COD by Electro- Coagulation at Optimized Conditions”. IJRST, Vol. 2(3), pp. 193-196.

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Research Paper

A Fuzzy Logic Approach for Structural Comparison, Rating, and Finding Distinct Inversions of Kinematic Chains

V. Srinivasa Rao* , K. Mallikarjuna Rao, A.B. Srinivasa Rao*

* Associate Professor, Department of Mechanical Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh, India.

Professor, Department of Mechanical Engineering, University College of Engineering, Jawaharlal Nehru Technological University, Kakinada (JNTUK), Andhra Pradesh, India.

* Principal, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Andhra Pradesh, India.

Rao, V.S., Rao, K.M., and Rao, A.B.S., (2017). A Fuzzy Logic Approach for Structural Comparison, Rating, and Finding Distinct Inversions of Kinematic Chains. i-manager’s Journal on Future Engineering and Technology, 12(2), 16-26. https://doi.org/10.26634/jfet.12.2.10367

Abstract

Structural synthesis of kinematic chains is a potential area for researchers for many years. Selection of best kinematic chain with desired linkage and degree of freedom for a specific industrial purpose, i.e. automotive transmission system, robotic manipulators, and lifting devices need systematic synthesis. Many researchers produced algorithms involving a lot of computations. In this paper, a novel and simple method is proposed assigning fuzzy parameters to the links of kinematic chain. It comprises detection of isomorphism, rating, and distinct inversions of a kinematic chain. Adjacency of a kinematic link up to the last level is assessed in the analysis. The output of the method as a quantitative measurement greatly assists the designer in selecting the kinematic chain needed. The isomorphism checking, rating, and distinct Inversions of 8-link 1-dof kinematic chains are presented using the proposed method. All the results are in agreement with the available literature. The proposed method can also be extended to higher linkage and multiple Degrees of Freedom (DOF).

References

[1]. Manolescu N.I, (1973). “A method based on Baranov Trusses and using Graph theory to find the set of planar jointed kinematic chains and mechanisms”. Mechanism and Machine Theory, Vol. 8, pp. 3-22.

[2]. Yan H.S, and Hwang W.M. (1983). “A method for identification of planar linkage chains”. J. Mech. Transm. Autom. Des., Vol. 105, No. 4, pp. 658–662.

[3]. Mruthyunjaya T.S, (1984). “A computerized methodology for structural synthesis of kinematic chains – Part I, II and III”. Mechanism and Machine Theory, Vol. 14, pp. 487–530.

[4]. Mruthyunjaya T.S, and Raghavan M.R. (1984). “Computer Aided analysis of the Structure of Kinematic Chains”. Mechanism and Machine Theory, Vol. 19, No. 3, pp. 357-368.

[5]. Ambekar A.G, and Agrawal V.P. (1987). “Canonical numbering of kinematic chains and isomorphism problem: Min code”. Mechanism and Machine Theory, Vol. 22, No. 5, pp. 453-461.

[6]. Patel L.K, and Rao A.C. (1988). “A Method for detection of Distinct Mechanisms of a Planar Kinematic Chain”. Transactions of CSME, Vol. 12, No. 1, pp. 15-20.

[7]. Harary F., and Yan H.S. (1990). “Logical Foundations of Kinematic Chains: Graphs, Line Graphs, and Hypergraphs”. ASME J. Mech. Des., Vol. 112, No. 1, pp. 79- 83.

[8]. Rao A.C, and Varada Raju D. (1991). “Application of the Hamming Number Technique to deduct isomorphism among kinematic chains and inversions”. Mechanism and Machine Theory, Vol. 26, No. 1, pp. 55-75.

[9]. Kui C.J, and Qing C.W. (1994). “Identification of Isomorphism among Kinematic Chains and Inversions using Link's Adjacent Chain Table”. Mechanism and Machine Theory, Vol. 29, No. 1, pp. 53-58.

[10]. Yadav J.N, Pratap C.R, and Agrawal V.P. (1996). “Computer aided Detection of Isomorphism among Kinematic Chains and Mechanisms using the Concept of Modified Distance”. Mechanism and Machine Theory, Vol. 31, No. 4, pp. 439-444.

[11]. Rao A.C. (1998). “Topology based rating of kinematic chains and inversions using information Theory”. Mechanism and Machine Theory, Vol. 33, No. 7, pp. 1055-1062.

[12]. Rao A.C. (2000a). “Application of fuzzy logic for the study of isomorphism, inversions, symmetry, parallelism, and mobility in kinematic chains”. Mechanism and Machine Theory, Vol. 35, pp. 1103-1116.

[13]. Rao A.C., and Prasad Raju V.V.N.R. (2000b). “Loop based detection of isomorphism among kinematic chains, inversions and type of freedom in multi degree of freedom chain”. ASME Journal of Mechanical Design, Vol. 122, pp. 31-42.

[14]. Xiao R, Tao Z, and Liu Y. (2005). “Isomorphism Identification of Kinematic Chains using Novel Evolutionary Approaches”. J. Comput. Inf. Sci. Eng., Vol. 5, No. 1, pp. 18-24.

[15]. Srinath, and Rao A.C, (2006). “Correlation to detect isomorphism, parallelism and type of freedom”. Mechanism and Machine Theory, Vol. 41, No. 6, pp. 646- 655.

[16]. Mohammad A, Khan R.A, and Agrawal V.P. (2006). “Identification of kinematic chains and distinct mechanisms using extended adjacency matrix”. Proc. IMechE, Part C: J Mechanical Engineering Science, Vol. 221, pp. 81-88.

[17]. Simoni R, Carboni A.P., and Martins D. (2009). “Enumeration of Kinematic Chains and Mechanisms”. Proc. I MechE., Part C: J Mechanical Engineering Science, Vol. 223.

[18]. Ashok Dargar, Ali Hasan, and Khan R.A, (2009). “Identification of Isomorphism among Kinematic Chains and Inversions using Link Adjacency Values”. IJMME, Vol. 4, No. 3, pp. 309-315.

[19]. Sanyal S, (2009). “Detection of Isomorphism amongst Planar Kinematic Chains using Link Joint Connectivity Table”. International Conference on Applied Mechanics and Machines, WASET09, Bangkok.

[20]. Sanyal S, and Bedi G.S, (2010). “Joint Connectivity: A new approach for detection of Isomorphism and Inversions of Planar Kinematic Chains”. J. Institution of Engineers (India), Vol. 90, pp. 23–26.

[21]. Sanyal S, and Bedi G.S, (2011). “Modified Joint Connectivity approach for identification of topological characteristics of Planar Kinematic Chains”. Proc. IMechE, Part C: J. Mechanical Engineering Science, Vol. 225, pp. 2700–2717.

[22]. Lohumi M.K, Aas Mohammad, and Khan I.A. (2012). “Hierarchical clustering approach for determination of isomorphism among planar kinematic chains and their derived mechanisms”. Journal of Mechanical Science and Technology (Springer), Vol. 26, No. 12, pp. 4041-4046.

[23]. Jaspal Singh Bal, Deshmukh P.B, and Jagadeesh A. (2013). “Link Invariant Functions an Detection of Isomorphism and Inversions of Kinematic Chains”. Proceedings of iNaCoMM2013, IIT Roorkee, India, pp. 18- 20.

[24]. Rizvi S.S.H, Ali Hasan, and Khan R.A. (2014). “A New Concept to Detect Isomorphism in Kinematic Chains using Fuzzy Similarity Index”. International Journal of Computer Applications, Vol. 86, No. 12, pp. 30-33.

[25]. Huafeng Ding, Peng Huang, Wenjian Yang, and Andred Kecskemethy, (2016). “Automatic generation of the complete set of planar kinematic chains with up to six independent loops and up to 19 links”. Mechanism and Machine Theory, Vol. 96, No. 1, pp. 75-93.

[26]. Fomin A, and Paramonov M. (2016). “Synthesis of the Four-Bar Double-Constraint Mechanisms by the Application of the Grubler's Method”. 2^nd International Conference on Industrial Engineering, Procedia Engineering, Vol. 150, pp. 871-877.

[27]. Huafeng Ding, Wenjian Yang, Bin Zi, and Andred Kecskemethy, (2016). “The family of planar kinematic chains with two multiple joints”. Mechanism and Machine Theory, Vol. 99, pp. 103–116.

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Research Paper

COD Reduction in Coal Gasifier Effluent using Adsorbents Derived from Agricultural Waste

M. Sivanagasai* , V. Sridevi**

* Postgraduate, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

** Professor, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

Sivanagasai, M., and Sridevi, V., (2017). COD Reduction in Coal Gasifier Effluent Using Adsorbents Derived From Agricultural Waste. i-manager’s Journal on Future Engineering and Technology, 12(2), 27-34. https://doi.org/10.26634/jfet.12.2.10371

Abstract

The reduction of COD (Chemical Oxygen Demand) from coal gasifier has been carried out using agricultural tobacco waste, and Madhuca longifolia seed as low cost adsorbents. The adsorption efficiency of agricultural tobacco waste, and Madhuca longifolia seed was investigated. In this study, a batch experimental process were carried out using agricultural tobacco waste, and Madhuca longifolia seed adsorbents for COD reduction in coal gasifier effluent. Batch experiments were setup to study the adsorbent dose, pH, agitation time, and initial concentration of adsorption on the reduction of COD levels were analyzed for each adsorbent individually. Based on the efficiency order, the study result showed that Madhuca longifolia seed is greater than agricultural tobacco waste. The experimental data is an excellent fit with Langmuir, Freundlich, and Temkin isotherm models for both adsorbents. Freundlich equation was observed to be more suitable for both adsorbents. The adsorption followed pseudo second order kinetic suited for both adsorbents. The parameters were changed at three levels according to the CCD to evaluate their effects on COD reduction through 2 analysis of variance and high correlation coefficient (R ) of 0.96 shows high correlation between experimental and predicted values.

References

[1]. APHA, AWWA, WEF, (1995). Standard Methods for the th Examination of Water and Wastewater. 19 Ed. APHA, Washington, USA.

[3]. Balasubramanian N., and Madhavan., K. (2001). “Arsenic removal from industrial effluent through electrocoagulation”. Chemical Engineering Technology, Vol. 24, pp. 519-521.

[8]. Manisankar, P., Viswanathan, S., and Rani, C., (2003). “Electrochemical treatment of distillery effluent using catalytic anode”. Green Chemistry, pp. 270–274.

[10]. Montgomery, D.C., (2002). Design and Analysis of rd Experiments, 3 Ed., Wiley, New York.

[11]. Norulaini, N.A.N., (2001). “Chemical coagulation of settle able solid-free Palm Oil Mill Effluent (POME) for organic load reduction”. J. Ind. Technol., Vol. 10, pp. 55-72.

[12]. Otto, M., (1999). Chemometrics: Statistics and Computer Applications in Analytical Chemistry. Wiley- VCH, Chichester.

[14]. V. Sridevi, et al., (2016). “Removal of COD by Electro- Coagulation at Optimized Conditions”. IJRST, Vol. 2(3), pp. 193-196.

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Research Paper

Prediction of Glass Transition Temperature of Glycerolwater as Cryoprotectant by Molecular Dynamic Simulation

Meghana Sundaresan* , Kailas L. Wasewar**

*-** Department of Chemical Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur, India.

Sundaresan, M., and Wasewar, K.L., (2017). Prediction of Glass Transition Temperature of Glycerolwater as Cryoprotectant by Molecular Dynamic Simulation. i-manager’s Journal on Future Engineering and Technology, 12(2), 35-40. https://doi.org/10.26634/jfet.12.2.10374

Abstract

Cryobiology sets at the interface of physics and biology. In cryobiology, low temperature represents temperature below normal. The living things include human hypothermia and natural hibernation. Cryoprotectants are used to protect cells or whole tissues from freezing damage. 60% glycerol-water is used as one of the cryoprotectants. Glass transition temperature is one of the essential parameters of fundamental importance for cryopreservation by vitrification. In this present paper, glass transition temperature of 60% glycerol-water was determined using molecular dynamic simulation with density variation and cell volume variation. It was found to be 168 K and 166 K using density variation and cell volume approach, respectively. Further results were compared with available experimental results obtained by Differential Scanning Calorimetry (DSC) and Dynamic Mechanical Analyzer (DMA). Molecular dynamic simulation was slightly over predicted glass transition temperature for 60% glycerol-water cryoprotectant with maximum error of 2.7% as compared with available experimental results which are well acceptable.

References

[1]. Abu-Sharkh B.F., (2001). “Glass transition temperature of poly (vinylchloride) from molecular dynamics simulation: Explicit atom model versus rigid CH and CHCl groups model”. Comput. Theor. Polym. Sci., Vol. 11, pp. 29–34.

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[13]. Katkov I., and F. Levine, (2004). “Prediction of the glass transition temperature of water solutions: Comparison of different models”. Cryobiology, Vol. 49, pp. 62-82.

[14]. Kurt B., B. Jorg, and W. Paul, (2003). “Glass transition of polymer melts: Test of theoretical concepts by computer simulation”. Prog. Polym. Sci., Vol. 28, pp. 115–172.

[15]. Li Dai-Xi, Bao-Lin Liu, Yi-shu Liu, and Cheng-lung Chen, (2008). “Predict the glass transition temperature of glycerol-water binary cryoprotectant by molecular dynamics simulation”. Cryobiology, Vol. 56, No. 2, pp. 114-119.

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i-manager's Journal on Future Engineering and Technology (JFET)

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Volume 12 Issue 2 November - January 2017

High Temperature Application of Oil Of Vitriol for Hydrometallurgical Extraction of Manganese

Dr. S.V.A.R. Sastry*

Senior Assistant Professor, Department of Chemical Engineering, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India.

Sastry, S.V.A.R., (2017). High Temperature Application of Oil Of Vitriol for Hydrometallurgical Extraction of Manganese. i-manager’s Journal on Future Engineering and Technology, 12(2), 1-8. https://doi.org/10.26634/jfet.12.2.10360

Abstract

References

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COD Removal of Coal Gasifier Effluent by Electro Coagulation and Optimization Using Response Surface Methodology

Uma Shankar B.* , Chandana Lakshmi M.V.V.**, V. Sridevi***, Neelima Chandra Lekha L.****

Abstract

References

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A Fuzzy Logic Approach for Structural Comparison, Rating, and Finding Distinct Inversions of Kinematic Chains

V. Srinivasa Rao* , K. Mallikarjuna Rao**, A.B. Srinivasa Rao***

Rao, V.S., Rao, K.M., and Rao, A.B.S., (2017). A Fuzzy Logic Approach for Structural Comparison, Rating, and Finding Distinct Inversions of Kinematic Chains. i-manager’s Journal on Future Engineering and Technology, 12(2), 16-26. https://doi.org/10.26634/jfet.12.2.10367

Abstract

References

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COD Reduction in Coal Gasifier Effluent using Adsorbents Derived from Agricultural Waste

M. Sivanagasai* , V. Sridevi**

* Postgraduate, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India. ** Professor, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

Sivanagasai, M., and Sridevi, V., (2017). COD Reduction in Coal Gasifier Effluent Using Adsorbents Derived From Agricultural Waste. i-manager’s Journal on Future Engineering and Technology, 12(2), 27-34. https://doi.org/10.26634/jfet.12.2.10371

Abstract

References

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Prediction of Glass Transition Temperature of Glycerolwater as Cryoprotectant by Molecular Dynamic Simulation

Meghana Sundaresan* , Kailas L. Wasewar**

*-** Department of Chemical Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur, India.

Sundaresan, M., and Wasewar, K.L., (2017). Prediction of Glass Transition Temperature of Glycerolwater as Cryoprotectant by Molecular Dynamic Simulation. i-manager’s Journal on Future Engineering and Technology, 12(2), 35-40. https://doi.org/10.26634/jfet.12.2.10374

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Uma Shankar B.* , Chandana Lakshmi M.V.V., V. Sridevi*, Neelima Chandra Lekha L.****

V. Srinivasa Rao* , K. Mallikarjuna Rao, A.B. Srinivasa Rao*

* Postgraduate, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

** Professor, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.