Abstract
Polymer nanocomposites are extensively used in spaceship, automotive, biomedical, and optical components due to exceptional properties. This article highlights the machining behavior of multiwall carbon nanotube/glass fiber modified epoxy nanocomposites (MWCNT/GF). The milling test was executed according to the Taguchi-based L9 orthogonal array. The objective is to attain the preferred value of material removal rate, surface roughness (Ra), and cutting force (Fc) by controlling the varying constraints, namely, spindle speed, feed rate, depth of cut, and MWCNT weight percentage (R%). Most of the studies consider the equivalent response weight and insignificant correlated response, which is not viable in real practice. These critical issues have been challenged by exploring the principal component analysis (PCA) tool in this article. A combined approach of the grey theory and PCA (GR-PCA) aggregates the conflicting responses into an objective function. PCA was employed to assign the particular weight of the response during the analysis process. The comparative study of GR-PCA and traditional grey theory was used to evaluate the module feasibility. The outcomes reveal that hybrid GR-PCA is more effective than conventional GRA in terms of minimum average error (4.760%). The confirmatory test shows a satisfactory agreement with actual ones. The proposed approach could be praised for the quality and productivity control of manufacturing operations.
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Abbreviations
- MRR:
-
Material removal rate
- Ra:
-
Surface roughness
- F c :
-
Cutting force
- S :
-
Speed
- F :
-
Feed
- D :
-
Depth of cut
- R%:
-
Weight percentage
- CNT:
-
Carbon nanotube
- MWCNT:
-
Multiwall carbon nanotube
- ANOVA:
-
Analysis of variance
- OA:
-
Orthogonal array
- LB:
-
Lower is better
- HB:
-
Higher is better
- S/N :
-
Signal-to-noise
- N :
-
Normalize
- GRA:
-
Grey relational analysis
- PC:
-
Principal components (PCs)
- GFRP:
-
Glass fiber reinforced polymer
- XRD:
-
X-ray diffraction
- ANN:
-
Artificial neural network
- CCD:
-
Central composite design
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Acknowledgements
The authors are very grateful to the National Project Implementation Unit (NPIU), Ministry of Human Resource and Development (MHRD), Government of India for the sanctioned project (ID-1-5755587331) under the CRS scheme.
Funding
This research is supported under the CRS project scheme of the National Project Implementation Unit (NPIU), Ministry of Human Resource and Development (MHRD), Government of India for the sanctioned project (ID-1-5755587331).
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Kumar, K., Kumar, J., Singh, V.K. et al. An integrated module for machinability evaluation and correlated response optimization during milling of carbon nanotube/glass fiber modified polymer composites. Multiscale and Multidiscip. Model. Exp. and Des. 4, 303–318 (2021). https://doi.org/10.1007/s41939-021-00099-1
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DOI: https://doi.org/10.1007/s41939-021-00099-1