Teaching—Learning-Based Optimization Coupled with Response Surface Methodology for Micro Electrochemical Machining of ALUMINIUM NANOCOMPOSITE-Reference-Cited by-同舟云学术

Teaching—Learning-Based Optimization Coupled with Response Surface Methodology for Micro Electrochemical Machining of ALUMINIUM NANOCOMPOSITE

Published:2020-03-18 Issue:2 Volume:13 Page:409-432
ISSN:1876-990X
Container-title:Silicon
language:en
Short-container-title:Silicon

Author:

Prakash J.,Gopalakannan S.

Publisher

Springer Science and Business Media LLC

Subject

Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.1007/s12633-020-00434-0.pdf

Reference65 articles.

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2. Li X, Yang Y, Weiss D (2008) Theoretical and experimental study on ultrasonic dispersion of nanoparticles for strengthening cast aluminum alloy A356. Metallurgical Science and Technology 26-2:12–20

3. Donthamsetty S, Babu PS (2017) Experiments on the wear characteristics of A356 MMNCs fabricated using ultrasonic cavitation. International journal of automotive and mechanical engineering 14, issue 4:4589-4602. DOI. https://doi.org/10.15282/ijame.14.4.2017.1.0362

4. Gopalakannan S, Senthilvelan T (2015) Synthesis and characterisation of Al 7075 reinforced with SiC and B4C nanoparticles fabricated by ultrasonic cavitation method. J Sci Ind Res 74:281–285

5. Marini CD, Fatchurrohman N (2015) A review on the fabrication techniques of aluminium matrix nanocomposites. Jurnal Teknologi 74(10):103–109

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