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    <name>Article</name>
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              <text>Optimization of multiple responses using overlaid contour plot and steepest methods analysis on hydroxyapatite coated magnesium via cold spray deposition</text>
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              <text>Coating; Cold spray; Hydroxyapatite; Multiple responses; Overlaid method; Steepest method</text>
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              <text>In this work, sequential optimization strategy based statistical design was employed to enhance the mechanical properties of hydroxyapatite coatings onto a pure magnesium substrate using a cold spray technique. A fractional factorial design (24-1) was applied to elucidate the process parameters that significantly affected the mechanical properties of the coating samples. Standoff distance, surface roughness, and substrate heating temperature were identified as important process parameters affecting thickness, nanohardness, and the elastic modulus of the coating sample. The overlaid method analysis was employed to determine tradeoff optimal values from multiple regressive equations. Then, finally, steepest method analysis was used to reconfirm and relocate the optimal domain from which the factor levels for maximum mechanical properties of the coating were determined at 49.77mm standoff distance, 926.4grit surface roughness, and 456C substrate heating temperature, which can accommodate the optimum requirements for the cold spray process with a coating of 49.77?m thickness, 462.61MPa nanohardness, and 45.69GPa elastic modulus. Scanning electron microscopy revealed that a short standoff distance, high surface roughness, and high substrate temperatures improved the bond between the coated layers and substrates.  2015 Elsevier B.V.</text>
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              <text>Hasniyati M.R.; Zuhailawati H.; Sivakumar R.; Dhindaw B.K.</text>
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              <text>Surface and Coatings Technology, Vol-280, pp. 250-255.</text>
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              <text>Elsevier B.V.</text>
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              <text>2015-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.surfcoat.2015.09.006" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.surfcoat.2015.09.006&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944217914&amp;amp;doi=10.1016%2Fj.surfcoat.2015.09.006&amp;amp;partnerID=40&amp;amp;md5=b1e58563480e3339e0eabf7e1c726aa7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944217914&amp;amp;doi=10.1016%2fj.surfcoat.2015.09.006&amp;amp;partnerID=40&amp;amp;md5=b1e58563480e3339e0eabf7e1c726aa7&lt;/a&gt;</text>
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              <text>ISSN: 2578972</text>
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              <text>Hasniyati M.R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Zuhailawati H., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Sivakumar R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Dhindaw B.K., Faculty of Engineering, Christ University, Bangalore, 560060, India</text>
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