Thote Priyanka,
Sunil Kr Pandey,
Rahul Koshti,
P. Vidyullatha,
G. Simi Margarat,
K. Ravikumar,
- Assistant Professor, Department of Computer Science and Engineering (Data Science), Vignan Institute of Technology and Science, Telangana, India
- Professor, Department of Information Technology, Institute of Technology & Science, Ghaziabad, Uttar Pradesh, India
- Assistant Professor, Department of Technology Management and Engineering, NMIMS, Hyderabad, Telangana, India
- Associate Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
- Professor, Department of Information Technology, Agni College of Technology, Thalambur, Tamil Nadu, India
- Professor, Department of Information Technology, Dhanalakshmi Srinivasan College of Engineering and Technology, Tamil Nadu, India
Abstract
Ensuring real-time process compliance in resin-based polymer composite manufacturing remains a persistent challenge due to non-linear material behaviors, unpredictable curing dynamics, and fragmented sensor data pipelines. Traditional centralized monitoring architectures struggle to guarantee data integrity, auditability, and adaptive response under high-frequency environmental fluctuations. Most existing frameworks fall short in unifying trust, traceability, and time-critical decision-making particularly during critical cure-phase deviations due to limited integration of blockchain with intelligent sensor systems. To address this, we propose a blockchain-embedded smart monitoring architecture that fuses calibrated sensor streams with self-executing smart contracts for anomaly-aware compliance enforcement. Unlike rule-based dashboards or delayed post-process validation, our approach embeds real-time trigger logic directly within a decentralized ledger, ensuring tamper-evident control and instantaneous alerts. Experimental validation reveals a 34.6% reduction in alert latency and a 31.8% gain in anomaly detection accuracy compared to centralized benchmarks. The system also sustained a 0% rollback rate across three full resin curing cycles, with blockchain commit latency stably confined under 2.3 seconds (99th percentile), as evidenced by histogram analysis. This work introduces a new paradigm for intelligent, secure, and transparent process supervision in advanced manufacturing. By coupling decentralized trust mechanisms with embedded smart sensing, it paves the way for auditable-by-design frameworks suited for Industry 5.0 and critical safety-bound composite workflows.
Keywords: Blockchain-enabled monitoring, Smart contract compliance, Polymer composite curing, IoT-integrated manufacturing, Real-time anomaly detection, Decentralized process auditing, Industry 5.0 systems.
[This article belongs to Special Issue under section in Journal of Polymer & Composites (jopc)]
Thote Priyanka, Sunil Kr Pandey, Rahul Koshti, P. Vidyullatha, G. Simi Margarat, K. Ravikumar. Blockchain Enabled IoT System for Tamper Proof Monitoring of Polymer Composite Manufacturing Quality. Journal of Polymer & Composites. 2025; 13(06):126-145.
Thote Priyanka, Sunil Kr Pandey, Rahul Koshti, P. Vidyullatha, G. Simi Margarat, K. Ravikumar. Blockchain Enabled IoT System for Tamper Proof Monitoring of Polymer Composite Manufacturing Quality. Journal of Polymer & Composites. 2025; 13(06):126-145. Available from: https://journals.stmjournals.com/jopc/article=2025/view=234003
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Journal of Polymer & Composites
| Volume | 13 |
| Special Issue | 06 |
| Received | 13/08/2025 |
| Accepted | 28/08/2025 |
| Published | 05/09/2025 |
| Publication Time | 23 Days |
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