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Hamzah, Pomelo peel extract as corrosion inhibitor for steel in simulated seawater and acidic mediums, Journal of Materials Engineering and Performance, 29(4) (2020) 2202-2215
Kassim, Oil palm empty fruit bunch extract as green corrosion inhibitor for mild steel in hydrochloric acid solution: Central composite design optimization, Materials and Corrosion, 70(6) (2019) 1111-1119
Elechi, Development of regression models to predict and optimize the composition and the mechanical properties of aluminium bronze alloy, Advances in Materials and Processing Technologies, 8(sup3) (2022) 1227-1244
Tuaweri, Optimization and Predictive Modelling of Gravimetric Corrosion Characteristic of Irvingia Gabonensis Leaves Extracts as Anti-Corrosion Inhibitor of Mild Steel in HCl Solution, Journal of Applied Materials and Technology, 5(1) (2023) 1-10
Nwaeju, Kinetic and thermodynamic assessment of the potency of Irvingia Gabonensis plant extract as an eco-friendly inhibitor for mild steel in an acidic environment, European Journal of Materials Science and Engineering, 8(3) (2023) 142-155

Other applications include biomedical research and the study of materials.
The second reason is that it is essential to have an understanding of the behavior of non-Newtonian fluids in a variety of scientific fields, such as nanostructured materials, technology, and biomechanics, because these fluids are frequently used in the production of cutting-edge materials, such as composites and nanomaterials, and a lack of this understanding can lead to serious problems.
The study of chemical processes is required for anybody interested in pursuing a degree in chemistry and is very essential for working professionals in subjects such as materials science, pharmacology, and environmental science.
Journal.
Adebayo, Heat transfer in an unsteady vertical porous channel with injection/suction in the presence of heat generation, Journal of Taibah Universityfor Science. 14 (2020) 541-548

Materials and Methods the raw material The experiment uses straw corn stalks and sorghum staw, which take from the Henan Agricultural University teaching experimental fields at north of Zhengzhou.
When choosing the corn stalks as raw materials, reducing sugar yield are 9.2%, 15.2%, 13.4%, 16.3% and 24.2%.
The size of materials are 40 mesh, 80 mesh, 120 mesh, 160 mesh and electron microscope, reducing sugar yield are 8.24%, 9.76%, 10.12%, 13.76%, 26.36%, that is, reducing sugar yield increases with the size of materials.
[9] Junhui Chen.Biochemistry experiment [M].Beijing:Science press, 2003
Anhui engineering institute of science and technology journal, 2005, 20(2):16-19

The workpiece material is 3Cr1Mo1/4V and the tool specification is 16×16 square index-able milling insert including the traditional flat rake face milling insert and the waved edge milling insert which is developed by Harbin University of Science and Technology.
Xu: Journal of Hubei Automotive Industries Institute.
[2] Deshayes L: Journal of Material Processing Technology, Vol. 190 (2007), pp. 251
Yuan: Journal of Harbin Institute of Technology.
Li: Chinese Journal of Mechanical Engineering, Vol. 40 (2004), pp. 106 (in Chinese)

The use of porous materials is of interest, because it gives the opportunity to reduce the mass of protective structure.
Key Engineering Materials 685, 280 (2016) [14] Kramshonkov, E.N., Krainov, A.V., Pashkov, E.N.
Materials Science Forum 927, 48 (2018) [15] Paul M.
Blakeley, 11th International Conference on the Mechanical Behavior of Materials (ICM11), 10, 3534 (2011) [19] R.
Langseth, International Journal of Impact Engineering, 37, 580 (2010) [20] Hua Jiang, Xiaowo Wang, Shuanhai He, Materials & Design, 39, 111 (2012) [21] J.J.

Nanomaterials such as 1-dimensional nanowires and nanotubes and 2-dimensional graphene are the promising materials for novel device developments due to their unique physical and chemical properties.
Introduction The 1-dimensional nanomaterials such as nanowires and nanotubes and 2-dimensional nanomaterials such as graphene are outstanding materials for novel devices due to its small dimensions and high aspect ratios.
Lee, Journal of Physical Chemistry B, Vol. 109 (2005), p. 11095 [11] J.
Davis, Diamond and Related Materials, Vol. 5 (1996), p. 790 [19] J.
Jung, Journal of Vacuum Science & Technology B, Vol. 14 (1996), p. 2072 [20] A.

Materials and methods Materials The experimental materials were purchased from Ya’an.
The Mass of Mixing Material (x2): the total mass of materials which were mixed when the test was applied.
[2] Xia Li: submitted to Animal Husbandry and Feed Science(2011), in Chinese
[3] Shugeng Wu: submitted to Chinese Journal of Animal Science(2010), in Chinese
[5] E.Zafer, I, Filiz: submitted to Journal of Food Engineering (2009)

Dobrzański, Wojciech Pakieła*, Krzysztof Labisz, Marek Roszak, Błażej Tomiczek Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego Str 18A, 44-100 Gliwice, Poland Tomasz.Tanski@polsl.pl, Leszek.Dobrzański.polsl.pl, Wojciech.Pakiela@polsl.pl, Krzysztof.Labisz@polsl.pl, Marek.Roszak@polsl.pl, Blazej.Tomiczek@polsl.pl Keywords: Laser surface treatment, Laser feeding, surface engineering, tribological test, aluminium alloy, ball on plate Abstract.
The hardness of both materials after laser feeding was classified on the same level.
Dobrzanski, Structure and mechanical properties of gradient coatings deposited by PVD techniques onto the X40CrMoV5-1 steel substrate, Journal of Materials Science 43 (2008) 4300-4307
Proc. of SPIE Vol. 8703, Laser Technology 2012: Applications of Lasers, 87030T (January 22, 2013), DOI: 10.1117/12.2013431 [11] Wegrzyn T., Piwnik J., Low alloy welding with micro-jet cooling, Archives of Metallurgy and Materials, vol 57, iss 2, 2012, [12] Dobrzański L.A., Sitek W., Krupiński M., Computer aided method for evaluation of failure class of materials working in creep conditions, JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, Vol. 157 (2004) 102-106
Maniara R, Sokolowski J., Kasprzak W., Krupinski M., Brytan Z., Applications of the artificial intelligence methods for modeling of the ACAlSi7Cu alloy crystallization proces, Journal Of Materials Processing Technology,Vol. 192, 582-587, 2007

Journal of Materials Processing Technology 2010;210:2103–18, doi:10.1016/j.jmatprotec.2010.07.019
Journal of Materials Processing Technology 2016;228:11–24, doi:10.1016/j.jmatprotec.2015.09.023
Journal of Materials Processing Technology 2016;228:59–67, doi:10.1016/j.jmatprotec.2015.01.003
Computer Methods in Materials Science 2017
Materials Science and Technology 2013;1:798–804, doi:10.1179/mst.1985.1.10.798

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