Predictive modeling of drilling machine performance for jute fiber-reinforced polymer composites using GA, TLBO, and GRA-based RSM approaches-Reference-Cited by-同舟云学术

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Predictive modeling of drilling machine performance for jute fiber-reinforced polymer composites using GA, TLBO, and GRA-based RSM approaches

Published:2024-06-03 Issue: Volume: Page:
ISSN:1955-2513
Container-title:International Journal on Interactive Design and Manufacturing (IJIDeM)
language:en
Short-container-title:Int J Interact Des Manuf

Author:

Kumar Lokesh,Goyal Ashish^ORCID,Garg Sudesh,Phanden Rakesh Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12008-024-01892-1.pdf

Reference41 articles.

1. Antil, P., Singh, S., Manna, A.: Electrochemical discharge drilling of SiC reinforced polymer matrix composite using Taguchi’s grey relational analysis. Arab. J. Sci. Eng. 43(3), 1257–1266 (2018)

2. Antil, P., Singh, S., Manna, A., Katal, N., Pruncu, C.: An improvement in drilling of SiCp/glass fiber-reinforced polymer matrix composites using response surface methodology and multi-objective particle swarm optimization. Polym. Compos. 42(10), 5051–5064 (2021)

3. Babu, U.H., Sai, N.V., Sahu, R.K.: Artificial intelligence system approach for optimization of drilling parameters of glass-carbon fiber/polymer composites. SILICON 13(9), 2943–2957 (2021)

4. Baraily, A., Chatterjee, S., Ghadai, R. K., Das, P. P., & Chakraborty, S.: Optimization of hybrid Al-MMC drilling using a new RAMS-RATMI-based approach. Int. J. Interact. Des. Manuf. (IJIDeM), pp. 1–17, (2023)

5. Belaadi, A., Boumaaza, M., Alshahrani, H., Bourchak, M.: Effect of jute fiber length on drilling performance of biocomposites: optimization comparison between RSM, ANN, and genetic algorithm. Int. J. Adv. Manuf. Technol. 124(10), 3579–3599 (2023)

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1. Experimental investigations on high speed drilling of unidirectional GFRP composites;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-08-08

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