Sustainable optimization of mechanical properties in fiber-reinforced polymer composites using RSM and ANN: A systematic review
Authors:
- Manjunath ShettarMSManjunath Shettar
- Ashwini BhatABAshwini Bhat
- Nagaraj N. KatagiNKNagaraj N. Katagi
- M.C. GowrishankarMGM.C. Gowrishankar
- Patcharapon SomdeePSPatcharapon Somdee
Top Cited Papers
Open Access
- 10 February 2026
- journal article
- review article
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 41, 4468-4487
Abstract
No abstract availableThis publication has 79 references indexed in Scilit:
- Integration of response surface methodology ( RSM ), machine learning ( ML ), and artificial intelligence ( AI ) for enhancing properties of polymeric nanocomposites‐A reviewPolymer Composites, 2025
- Optimizing the filler distribution to enhance the interlaminar shear strength and impact resistance of fiber reinforced epoxy compositesPolymer Composites, 2025
- Prediction of weight change of glass fiber reinforced polymer matrix composites with SiC nanoparticles after artificial aging by artificial neural network-based modelJournal of Materials Science, 2025
- A review on recent applications of machine learning in mechanical properties of compositesPolymer Composites, 2024
- Developing a model to predict and optimize the flexural and impact properties of jute/kenaf fiber nano-composite using response surface methodologyThe International Journal of Advanced Manufacturing Technology, 2024
- Effect of nano-particle weight percent on the flexural strength of Jute/kenaf/glass fiber composite using RSMInteractions, 2024
- Thermal aging effect on mechanical properties of polyamide 6 matrix composites produced by TFP and compression moldingPolymer Composites, 2023
- Machine learning‐based prediction of mechanical and thermal properties of nickel/cobalt/ferrous and dried leaves fiber‐reinforced polymer hybrid compositesPolymer Composites, 2023
- Evaluation of the effect of nanomaterials and fibers on the mechanical behavior of polymer-based nanocomposites using Box–Behnken response surface methodologyPolymer Bulletin, 2022
- Experimental assessment of mechanical behavior of basalt/graphene/PP-g-MA-reinforced polymer nanocomposites by response surface methodologyPolymer Bulletin, 2022