IJFTET
International Journal of Futuristic Trends in Engineering and Technology
UGC and ISSN Approved and added in the UGC Approved List of Journals Journal.
IJFTET Volume V, Issue VI, May - 2018
(Paper ID: 56ET3003201801)
Numerical Analysis of Air Flow Velocity Streamlines of Air Curtains
Document Information:
Title: Numerical Analysis of Air Flow Velocity Streamlines of Air Curtains
Author(s): Vrushali Dilip Solapurkar, Mechanical Engineering department, Vadodara Institute of Engineering, kotambi, vrushali1411@gmail.com.
Citation: Vrushali Dilip Solapurkar."Numerical Analysis of Air Flow Velocity Streamlines of Air Curtains", IJFTET, Volume: V , Issue: VI Publication Year: 2018 , Page(s): 1-5.
Article type: Review paper
DOI: 30/05/2018 http://ijftet.wixsite.com/research/copy-of-vol-v-issue-iv-march-2018 (Permanent URL)
Publisher: Akshar Publication
KeyWord: Air curtain, Reynolds-averaged Navier – Stokes equation, K- ε turbulence Model, velocity streamlines turbulent kinetic energy.
Abstract: A prototype is developed in the laboratory in order to simulate the conditions of the entrance of the doorway. The air curtain device is mounted above the doorway. An obstacle of human Shape (mannequin) is placed in the doorway to simulate the real time situation. The air curtain blows the air in downward direction. The flow within the air curtain is simulated with commercial computational Fluid Dynamics (CFD) solver, where the momentum equation is modeled with Reynolds-Average Navier-Stokes (RANS), K- ε turbulence model. The boundary condition set up is similar to the experimental conditions. The CFD results are compared and validated against experimental results, after the validation stage and the air curtain velocity profiles are compared for with obstacle situations. The results are obtained in the form of velocity streamlines at different planes. The velocity streamlines are analyzed discussed for the two cases reported and discussed in this paper.
(Paper ID: 56ET3003201802)
Development of Electro Photo-Fenton Technology for Waste Water Treatment
Document Information:
Title: Development of Electro Photo-Fenton Technology for Waste Water Treatment
Author(s): Prashant D. Chavda, V.V.P. Engineering College, Rajkot (Gujarat-India).
Prof. Darshana T. Bhatti, Assistant professor, Vadodara Institute of Engineering, kotambi. darshana333@yahoo.com.
Citation: Prashant D. Chavda & Prof. Darshana T. Bhatti."Development of Electro Photo-Fenton Technology for Waste Water Treatment", IJFTET, Volume: V , Issue: VI Publication Year: 2018 , Page(s): 6-10.
Article type: Review paper
DOI: 30/05/2018 http://ijftet.wixsite.com/research/copy-of-vol-v-issue-iv-march-2018 (Permanent URL)
Publisher: Akshar Publication
KeyWord: Waste water, COD, Advanced Oxidation Process, Fenton Process, Electro Advanced Oxidation Process, Electro Fenton Process, Electro Photo Fenton process, Advantages, Operating Parameters.
Abstract: In recent year large amount of water and wastewater generated from various industries and produce organic matters and contaminated the water, this organic compound in water poses serious problems to public health as well as environment. Those organic pollutants present in wastewaters which are not treatable by conventional treatment methods, are considered to be treated by stronger and more modern techniques. Wastewaters containing these compounds are known to be high in chemical oxygen demand (COD) and low in biological oxygen demand (BOD). Traditional wastewater management methods using biological microorganisms (biodegradation) and/or physico-chemical processes (flocculation, chlorination, ozonation and misc.), subsequently followed by filtration and adsorption-based separations are able to treat a majority of anthropogenically-polluted water sources. However, no single method described above is efficient enough to produce water with legally- and practically-acceptable levels of refractory toxic chemicals. When applied to the degradation of pollutants, these reactions are usually grouped together under the designations of Advanced Oxidation Processes (AOP) or Advanced Oxidation Technologies (AOT). AOPs refer to the chemical process which follow oxidation and helps to degrade biologically toxic and non-degradable chemicals. The advanced oxidation process (AOPs) is one of the advanced treatment method for wastewater. In AOPs, Electro Photo -Fenton process (EPF) is one of the best methods for the wastewater treatment. In this present research article review the treatment of different wastewater by using EFP and this review paper also focus on the development of EPF, application and advantages of EPF for the remediation of wastewater from various industries and some affecting factors like pH, temperature, Electrode distance, current density, Fe2+ Concentration, H2O2 Concentration etc., and also compare to other methods for organic treatment and it is also environmental friendly.
(Paper ID: 56ET3003201803)
Numerical Investigation of Plate Heat Exchanger
Document Information:
Title: Numerical Investigation of Plate Heat Exchanger
Author(s): Firoj H. Pathan, Department of Mechanical Engineering, Vadodara Institute of Engineering, Kotambi, Vadodara India. firojpathan_07@yahoo.com.
Citation: Firoj H. Pathan."Numerical Investigation of Plate Heat Exchanger", IJFTET, Volume: V , Issue: VI Publication Year: 2018 , Page(s): 11-13.
Article type: Review paper
DOI: 30/05/2018 http://ijftet.wixsite.com/research/copy-of-vol-v-issue-iv-march-2018 (Permanent URL)
Publisher: Akshar Publication
KeyWord: Plate heat Exchanger, CFD, PHE and Heat transfer enhancement.
Abstract: With increasing global energy consumption, strict environmental safety legislation and regulations in industrialized nations, energy saving has been put under high priority. One of the most proficient ways of energy reduction is through heat transfer enhancement for additional heat recovery. Applying compact heat exchanger is one of the main strategies of heat transfer enhancement. Furthermore Computational Fluid Dynamics (CFD) in recent years has had a major impact on the design process, greatly increasing the understanding of the complex flow and so reducing the amount of test and error required. The application of CFD is rapidly expanding with the growth in affordability of computational resources. It is becoming essential for CFD solvers to provide validation and verification. Before any prototype is built for testing, it is always tested on CFD for the design conditions, operating conditions and the transient conditions. The significance of CFD analysis in engineering and manufacturing industries encompasses seamlessly calculating the fluid forces and understanding the impact of gas or liquid on the performance of a product.
(Paper ID: 56ET3003201804)
Document Information:
Title: Cuminum cyminum (Jeera) seed extract as an Efficient Inhibitor for Aluminium Corrosion in 0.75 M Hydrochloric Acid
Author(s): Neha I. Prajapati, Navyug Science College, Surat, 6haprajapati@gmail.com.
Citation: Neha I. Prajapati."Cuminum cyminum (Jeera) seed extract as an Efficient Inhibitor for Aluminium Corrosion in 0.75 M Hydrochloric Acid", IJFTET, Volume: V , Issue: VI Publication Year: 2018 , Page(s): 14-18.
Article type: Review paper
DOI: 30/05/2018 http://ijftet.wixsite.com/research/copy-of-vol-v-issue-iv-march-2018 (Permanent URL)
Publisher: Akshar Publication
KeyWord: Aluminium, Cuminum cyminum, HCl, inhibition, Mechanism.
Abstract: The corrosion behavior of aluminium exposed to HCl solutions and their inhibition in HCl containing 0.6 – 1.2 g/L Cuminum cyminum seed extract used as inhibitor was studied at room temperature using weight loss method. From weight loss data it was observed that the inhibition efficiency increases with increase in concentration of the inhibitor reaching a maximum of 91.85 % at room temperature for aluminium at 1.2 g/L concentration of seed extract Cuminum cyminum. The inhibitor, Cuminum cyminum was found to obey Langmuir adsorption isotherm for aluminium. Cuminum cyminum is a better corrosion inhibitor for aluminium. Weight loss, Potentiodynamic Polarization, Electrochemical Impedance Spectroscopic (EIS) techniques were also carried out of establish the mechanism of corrosion inhibitor on aluminium in hydrochloric acid medium.
(Paper ID: 56ET3003201805)
Facial Action Unit Recognition with Sparse Representation
Document Information:
Title: Facial Action Unit Recognition with Sparse Representation
Author(s): Smith Christian, Final Year department of information and communication Technology, School of engineering and Applied Science, smith.c.btechi15@ahduni.edu.in.
Nishi Ajmera, Final Year department of information and communication Technology, School of engineering and Applied Science, nishi.a.btechi15@ahduni.edu.in.
Citation: Smith Christian & Nishi Ajmera."Facial Action Unit Recognition with Sparse Representation", IJFTET, Volume: V , Issue: VI Publication Year: 2018 , Page(s): 19-27.
Article type: Review paper
DOI: 30/05/2018 http://ijftet.wixsite.com/research/copy-of-vol-v-issue-iv-march-2018 (Permanent URL)
Publisher: Akshar Publication
KeyWord: sparse representation; L1-norm minimization; facial expressions recognition; FACS-AU detection.
Abstract: : This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framework, we represent a facial image exhibiting the combination of AUs as a sparse linear combination of basis constituting an overcomplete dictionary. We build an overcomplete dictionary whose main elements are mean Gabor features of AU combinations under examination. The other elements of the dictionary are randomly sampled from a distribution (e.g., Gaussian distribution) that guarantees sparse signal recovery. Afterwards, by solving L1-norm minimization, a facial image is represented as a sparse vector which is used to distinguish various AU patterns. After calculating the sparse representation, the classification problem is simply viewed as a rank maximal problem. The index of the maximal value of the sparse vector is regarded as the class label of the facial image under test. Extensive experiments on the Cohn-Kanade facial expressions database demonstrate that this sparse learning framework is promising for recognition of AU combinations.
(Paper ID: 56ET3003201806)
Document Information:
Title: Synthesis and Characterization of Some New Schiff Bases involving Benzothiazole and Pyrazolyl heterocyclic moieties
Author(s): Bhavin R. Patel, Department of Chemistry,, Maliba Campus, Bardoli-Mahuva Road, Uka Tarsadia University, bhavin.patel@utu.ac.in
Dipen H. Desai, Department of Chemistry,, Maliba Campus, Bardoli-Mahuva Road, Uka Tarsadia University, dipen.hdesai@utu.ac.in.
Jignesh P. Raval, Department of Chemistry, Maliba Campus, Bardoli-Mahuva Road, Uka Tarsadia University, drjpraval@gmail.com.
Citation: Bhavin R. Patel, Dipen H. Desai & Jignesh P. Raval."Synthesis and Characterization of Some New Schiff Bases involving Benzothiazole and Pyrazolyl heterocyclic moieties", IJFTET, Volume: V , Issue: VI Publication Year: 2018 , Page(s): 28-30.
Article type: Review paper
DOI: 30/05/2018 http://ijftet.wixsite.com/research/copy-of-vol-v-issue-iv-march-2018 (Permanent URL)
Publisher: Akshar Publication
KeyWord: sparse representation; L1-norm minimization; facial expressions recognition; FACS-AU detection.
Abstract: : This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framework, we represent a facial image exhibiting the combination of AUs as a sparse linear combination of basis constituting an overcomplete dictionary. We build an overcomplete dictionary whose main elements are mean Gabor features of AU combinations under examination. The other elements of the dictionary are randomly sampled from a distribution (e.g., Gaussian distribution) that guarantees sparse signal recovery. Afterwards, by solving L1-norm minimization, a facial image is represented as a sparse vector which is used to distinguish various AU patterns. After calculating the sparse representation, the classification problem is simply viewed as a rank maximal problem. The index of the maximal value of the sparse vector is regarded as the class label of the facial image under test. Extensive experiments on the Cohn-Kanade facial expressions database demonstrate that this sparse learning framework is promising for recognition of AU combinations.