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Journal of Polymer & Composites Cover

Journal of Polymer & Composites

E-ISSN: 2321-2810 | P-ISSN: 2321-8525 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Polymer & Composites is a peer-reviewed Hybrid Open Access journal launched in 2013, serving the fields of reinforced plastics and polymer composites, including research, production, processing, and applications. JOPC brings detailed developments in this rapidly … expanding area long before they become commercial realities, offering a platform to discuss new issues in the area of polymers and composites, and advancing research quality through new methods and practices in Chemical Engineering.

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Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

1437

Published Articles (2024)

44.04

Days Acceptance Time

40

Day Publication Time

—

Total Visits

Journal Information

Title: Journal of Polymer & Composites
Abbreviation: jopc
Issues Per Year: 6 Issues
P-ISSN: 2321-8525
E-ISSN: 2321-2810
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JOPC
Starting Year: 2013
Subject: Chemical Engineering
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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jopc maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Susarla Venkata Ananta Rama Sastry, Associate Dean

Harcourt Butler Technical University, Uttar Pradesh, India, 208001

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Latest Articles

Ahead of Print

Thermo-hydraulic Performance of Multi-Pass Double-Pipe Heat Exchangers: Integrating Polymer Composite Tube Wall Materials via CFD Parametric Study and Experimental Validation

Author: Khushi Gharate, Srushti Ghadge, Sujit Gore, Abhijeet Malge, Pramod Kothmire

Metallic materials such as steel and copper have traditionally dominated heat exchanger manufacturing because of their excellent thermal conductivity, mechanical strength, and long-established industrial reliability.

CFD simulation, multi-pass double-pipe heat exchanger, Polymer composite tube, Thermal conductivity parametric study, Thermo-hydraulic performance, Lightweight heat exchanger, Sustainable thermal design, Conjugate heat transfer.
23/09/2026 Ahead of Print Subscription Original Research -

Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites

Author: S. Amutha, R.K. Jeyauthmigha, S. Tephillah, N. Kanagavalli, V.S. Prakash, P.R. Therasa, S. Gayathri

Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance.

Finite element analysis, Damage prediction, Progressive damage, Delamination Failure analysis, Composite structures.
23/09/2026 Ahead of Print Subscription Original Research -

A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites

Author: Ekta Singh, Rupesh Kumar, Galla Damodara Krishna Kishore, Gogineni Krishna Chaitanya, D. Naga Malleswari, D. Gouse Peera

Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture.

Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage evolution, imminent failure and normalized remaining life. To avoid leakage and to test robustness, specimen-level splitting, training-only normalization, five-seed evaluation and independent cross domain validation were used. The framework was evaluated on held-out fatigue specimens, and yielded a damage-estimation R² of 0.946, RMSE of 0.052, failure-prediction AUROC of 0.967, F1-score of 0.918, and remaining-life MAE of 0.071. External validation showed R² of 0.889 and AUROC of 0.912 and real-time replay had mean latency of 28.6 ms. The predicted critical transition also remained close to the independently reported unstable damage region, indicating useful transfer across distinct loading conditions. The results show that temporally resolved AE monitoring can support early warning and continuous structural-health assessment of polymer composites, providing a practical bridge between sensing, prognosis, and IoT-enabled condition-based maintenance.
22/09/2026 Ahead of Print Subscription Original Research -

Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites

Author: Lakshmi Sridevi, K. Veena, R. Ashok, B. Anni Princy, B. Kesava Rao, S. Deepa, G. Janani

Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties.

Engineering Design, Predictive Modeling, Materials Optimization, Nanofillers, Sustainable Materials
22/09/2026 Ahead of Print Subscription Original Research -

Mechanical Characterization of Untreated Banana Fiber Reinforced PLA Bio-Composites Manufactured by 3D Printing

Author: Patil O. M., Suryawanshi U. P., Borle V. G., Jadhav P.D., Kolhe A.M.

This study investigates the development and mechanical characterization of fused deposition modeling (FDM) filaments utilizing polylactic acid (PLA) reinforced with untreated banana fibers (BF).

Fused Deposition Modeling (FDM), Polylactic Acid (PLA), Banana Fiber (BF), Bio-composites, Taguchi Method, Mechanical Characterization.
21/09/2026 Ahead of Print Subscription Original Research -

An Experimental Study on the Fabrication and Mechanical Properties of Natural Fiber Reinforced Polymer Hybrid Composites

Author: S D Sathishkumar

Natural fiber-reinforced polymer composites are increasingly investigated as lower-impact alternatives to conventional synthetic fiber systems.

Sisal fiber, coconut coir fiber, hybrid composite, epoxy resin, tensile strength
21/09/2026 Ahead of Print Subscription Original Research -
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