An integrated approach for machining characteristics optimization of polymer nanocomposites
| Autor: | Shivi Kesarwani, Puranjay Pratap, Vijay K. Singh, Jogendra Kumar, Rajesh Kumar Verma |
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| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Materials science Nanocomposite Polymer nanocomposite 02 engineering and technology Fibre-reinforced plastic 021001 nanoscience & nanotechnology 01 natural sciences Carbide Taguchi methods Machining 0103 physical sciences Surface roughness Orthogonal array Composite material 0210 nano-technology |
| Zdroj: | Materials Today: Proceedings. 44:2638-2644 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2020.12.672 |
| Popis: | This paper contrasts with the study of the effect of machining parameters on material removal rate (MRR), Surface roughness (Ra), and Cutting force (Fc) while milling on hybrid MWCNT/Glass fiber reinforced polymer (GFRP) nanocomposite materials. Hybrid module using the multiple criteria optimizations by GRA and GRA-PCA method in Glass Fiber Reinforced Polymer (GFRP) doped with Multiwalled Carbon Nanotubes (MWCNT) to perform machining operation by carbon carbide tool. Taguchi based L9 orthogonal array was used as an experimental design. The GRA and GRA-PCA optimization modules effectively aggregated the machining output viz MRR, Ra & Fc into a single objective feature finally optimized by the Taguchi principle. The orthogonal setting and experimental setting are compared in the following preferred solution value GRA-Taguchi and GRA-PCA Taguchi. Whereby the percentage improvement of GRA-Taguchi and GRA-PCA Taguchi experimental data is 4.935 percent. |
| Databáze: | OpenAIRE |
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