A Review on Electro-spun Nanofibers for Air Pollution Control

[Nand Jee Kanu and Subodh Mahadev Kale] Volume 7: Issue 1, April 2020, pp  9 - 18

DOI: 10.26706/IJAEFEA.1.7.20200306

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Abstract These days air pollution has emerge as greater severe and commenced to have a dramatic impact at the fitness of people in many big towns. usually, out of doors personal protection, together with commercial masks cannot successfully save you the inhalation of many pollution. specific remember (PM) pollutants are specially a critical risk to human fitness. here we introduce a brand-new green air filtration materials and methodologies that can be used for outside in addition to in Indoor air filtration. Sub-microfibers and nanofibers membranes have an excessive surface to extent ratio which makes them suitable for diverse programs such as environmental remediation and filtration, strength production and garage, digital optical sensors, tissue engineering and drug shipping. the fast file affords an outline of cutting-edge situation of nanofibers produced using electro-spinning approach and the one-of-a-kind polymers used for the manufacturing of nanofibers and the improvement procedures.

Index terms - polyacrylonitrile (PAN):TiO2, polyacrylonitrile-Co-polyacrylate (PAN-Co-PMA):TiO2, ZIF-67@PAN filters
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Magnetic Refrigeration: The Modern Refrigeration Technique- A Review

[Pranav Pachpande and S. A. Karve] Volume 7: Issue 1, April 2020, pp  1 - 8

DOI: 10.26706/IJAEFEA.1.7.20200303

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Abstract This paper involves the information about type of newly refrigeration. The aim of this study is to give the working principle, operating cycle of the cooling due to the magnetic field. The aim behind the cooling effect is Magneto-Caloric effect MCE.  According to this effect when magnetic material like gadolinium is subjected to field developed due to the magnet, temperature of that material increases and when source to develop the magnetic field is removed it returns to its normal temperature. The cooling effect caused uses the magnetic effect in the various ways. Gadolinium is kept as it will pass through magnetic field. As it transfers through the magnetic field the gadolinium heats up as it enters the magneto-caloric effect. There is need to circulate the cooled water to remove the heat out of the metal when it is in magnetic field. As the material lives the source of field, the materials decreases its temperature down its original temperature as the result of magnetic effect. Then this cold gadolinium is used to remove the heat from the refrigerator coils.

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[42] T. Gottschall et al., ‘Dynamical Effects of the Martensitic Transition in Magnetocaloric Heusler Alloys from Direct Δtad Measurements under Different Magnetic-Field-Sweep Rates’, Phys. Rev. Appl., vol. 5, no. 2, p. 024013, Feb. 2016, doi: 10.1103/PhysRevApplied.5.024013.
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Finite Element Analysis and Drawing of Magnetic Flux Path with the Developed Program

[Mehmet ÇINAR] Volume 6: Issue 4, Dec 2019, pp  127 - 131

DOI: 10.26706/IJAEFEA.2.6.20191101

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Abstract One of the methods used in the solution of partial differential equations is the finite element method. The solution region of the differential equation to be solved in finite element method is divided into sub-sections. When making finite element analysis, magnetic flux path drawing is made by making use of vector potential values of the nodes in the solution of the magnetic region. Thus, the finite element analysis gives information about the magnetic structure of the region. However, it is useful to use the moving finite element method instead of the classical finite element method when time dependent partial differential equations change and the solution network changes regionally.
In this article, drawing of magnetic flux path used in finite element analysis is mentioned. Application of a C ++ based software has been realized and the sample magnetic flux path drawings have been obtained.

Index terms - Mesh Generation Methods, Finite Element Method, Moving mesh generation.
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REFERENCES
[1] Mehmet Aydın, Beno Kuryel, Gönül Gündüz, Galip Oturanç, 2001,” Diferansiyel Denklemler ve Uygulamaları”,İzmir.
[2] R. Rannacher, 2001, ”Adaptive Galerkin Finite Element  Methods for Partial Differential Equations”, Journal of Computational and Applied Mathematics, 128, 205-233.
[3] S.H. Lo., 2002, “Finite element mesh generation and adaptive meshing“, Prog. Struct. Analysis Materials, Vol:4, pp:381-399.
[4] Baker TJ. 1989, “Automatic mesh generation for complex three-dimensional regions using a constrained Delaunay triangulation”, Engineering with Computers 5: 161–175.
[5] Lee CK., 2000, “Automatic metric advancing front triangulation over curved surfaces”,  Engineering Computations 17(1): 48–74.
[6] Shephard MS & Georges MK. 1991, “Automatic three-dimensional mesh generation by the finite octree technique”, International Journal for Numerical Methods in Engineering 32: 709–749.

[7] Luiz Vello, Denis Zorin  2001, “4-8 Subdivision”, Computer Aided Geometric Design, vol:18, pp:397-427.
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Mesh Generation Methods and Moving Mesh Generation Using Developed Program

[Mehmet ÇINAR] Volume 6: Issue 3, Sept 2019, pp  121 - 126

DOI: 10.26706/IJAEFEA.2.6.20190803

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Abstract One of the most commonly used methods in numerical solution of partial differential equations is the finite element method. In the finite element method, the region to be analyzed is divided into sub-sections called solution regions provided that the boundaries of the region are determined. This subdivision method depends on the type of differential equation to be solved. A variety of solution network production techniques are used to subdivide the solution region. By selecting the appropriate method, the solution region is divided into sub-compartments to ensure that the solution is faster and more accurate. The classical finite element method gives accurate results when instant analysis is performed on the solution area. However, in cases where partial differential equations change with time and solution network changes regionally, it is useful to use moving finite element method instead of classical finite element method. The use of a moving finite element method allows analysis to be carried out only in varying regions of the solution network to ensure rapid results. In this study, two dimensional solution network production techniques are mentioned. With the help of the developed program, regional changes on the solution network are explained in detail. As an application, C ++ based software was implemented.

Index terms - Mesh Generation Methods , Finite Element Method, Moving mesh generation.
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REFERENCES
[1] Mehmet Aydın, Beno Kuryel, Gönül Gündüz, Galip Oturanç, 2001,” Diferansiyel Denklemler ve Uygulamaları”,İzmir.
[2] R. Rannacher, 2001, ”Adaptive Galerkin Finite Element  Methods for Partial Differential Equations”, Journal of Computational and Applied Mathematics, 128, 205-233.
[3] Susan Brenner 2002, “ The Mathematical Theory of Finite Element Method”, Springer Verlag Press Berlin.
[4] Thomas R. Hughes , 2000, “The Finite Element Method  Linear Static and Dynamic Finite Element Method”, Dover Publications, New York
[5] S.H. Lo., 2002, “Finite element mesh generation and adaptive meshing“, Prog. Struct. Analysis Materials, Vol:4, pp:381-399.
[6] Delaunay “B. Sur la sphere vide. Bulletin”, Acade´mie des Sciences URSS. 1934: 793–800
[7] Lawson CL. 1977, “Software for C1 surface interpolation”, Mathematical Software III 161–194.
[8] Baker TJ. 1989, “Automatic mesh generation for complex three-dimensional regions using a constrained Delaunay triangulation”, Engineering with Computers 5: 161–175.
[9] Zhu JZ, Zienkiewicz OC, Hinton E & Wu J., 1991, “A New Approach to The Development of Automatic Quadrilateral Mesh Generation”, International Journal for Numerical Methods in Engineering 32: 849–866.
[10] Lee CK., 2000, “Automatic metric advancing front triangulation over curved surfaces”,       Engineering Computations 17(1): 48–74.
[11] Lo SH., 1991, Automatic mesh generation and adaptation by using contours. International Journal for Numerical Methods in Engineering 31: 689–707.
[12] Shephard MS & Georges MK. 1991, “Automatic three-dimensional mesh generation by the finite octree technique”, International Journal for Numerical Methods in Engineering 32: 709–749.
[13] Luiz Vello, Denis Zorin  2001, “4-8 Subdivision”, Computer Aided Geometric Design, vol:18, pp:397-427
[14] Zienkiewicz OC & Phillips DV., 1971, “An automatic mesh generation scheme for plane and curved surfaces isoparametric coordinates”, International Journal for Numerical Methods in Engineering 3: 519–528.
[15] Zhu JZ, Zienkiewicz OC, Hinton E & Wu J., 1991, “A new approach to the development of automatic quadrilateral mesh generation”, International Journal for Numerical Methods in Engineering, 32: 849–866.
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