Journal of Polymer & Composites

jopc | E-ISSN: 2321-2810 | Peer-Reviewed | Hybrid Open Access

Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

1347

Published Articles (2024)

44.99

Days Acceptance Time

40

Day Publication Time

[post-views]

Total Visits

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.

View full focus & scope More

Journal Information

Title:
Journal of Polymer and Composites
Abbreviation:
JOPC
Issues Per Year:
6 Issues (Bi-Monthly) from 2024
P-ISSN:
2321–2810
Publisher:
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI:
10.37591/JOPC
Starting Year:
2013
Subject:
Language:
English
Publication Format:
Hybrid Open Access
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

View Full Editorial Board

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

Email :

Latest Articles

Physico-Mechanical Behavior of Euphorbia Abysinica and Wood Chips Composite

In this study, we prepared composite test specimens from Eucalyptus chip particles of sizes 0.5 mm, 1 mm, and 2 mm combined with Euphorbia-Abyssinica fluid at an 80:20 mass ratio.

Adhesives, Euphorbia Abyssinica, Particleboard, Modulus of Truss swelling, Modulus of rupture.

Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials

In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches.

Quantum machine learning, Quantum support vector machines, Quantum neural networks, Hybrid quantum–classical pipeline, Polymer Rheology

Tensile and Flexural Strength Quantification of Basalt-Reinforced Epoxy Composites Fabricated via Vacuum-Assisted Resin Transfer Molding at Varied Fiber Volume Fractions Description

Fiber-reinforced polymer composites have been identified to possess excellent properties that render them very suitable in the aerospace, automotive, marine and renewable energy sectors.

Basalt Fiber, Fiber Volume Fraction, Mechanical performance, Mechanical Properties, Void Fraction.

Interfacial Bonding Efficiency in Jute-Carbon Fiber Polyester Matrix Composites Evaluated Through Short Beam Shear and Interlaminar Fracture Toughness Testing

The natural Fiber–synthetic Fiber hybrid composites are jute–carbon Fiber hybrid in polyester matrix which could be used in semi-structural applications of automotive, construction and marine industry as an eco-friendly and cost-effective alternative of conventional carbon Fiber reinforced polymer.

Short Beam Shear, Surface Modification, Stacking Sequence, Jute-Carbon Hybrid Composites, Interfacial Bonding, Interlaminar Shear Strength, Fracture Toughness.

Tailoring the Compressive Behavior of Tetra-Chiral Auxetic Structures through FDM Process Parameters

This research evaluates how fused deposition modeling (FDM) fabrication process parameters affect the compressive behavior of tetra-chiral auxetic structures created from Polylactic Acid (PLA).

Compressive strength, fused deposition modeling, layer height, raster width, printing speed

Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning

Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design.

Mechanical Property Prediction, Random Forest, Artificial Neural Networks, Feature Engineering, Materials Informatics, Predictive Modeling

Login

Quick Actions

Current Issue

Volume 14, Issue 04, 2026

July – August

Nandini Chaudhary

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.

APID Initiative

Academic Profile ID

Create your unique researcher identity with comprehensive academic profiling

Global Network
Track Impact

Learn More →

Submissions Open

NEW

Manuscript Submissions

December 2025

Virtual & Delhi, India

March 15-17, 2025

View All Events →