An Intelligent Framework For Adaptive Parametric Joint Design And Performance Optimization Through Digital Twin Technology

Rajendra Laxman Bharambe; Dr. Sandeep Kumar Yadav

doi:10.69980/redvet.v25i2.2446

Rajendra Laxman Bharambe
Dr. Sandeep Kumar Yadav

DOI: https://doi.org/10.69980/redvet.v25i2.2446

Keywords: Digital Twin, Parametric Design, Joint Optimization, Artificial Intelligence, Industry 4.0, Structural Engineering, Machine Learning, Smart Manufacturing.

Abstract

The rapid advancement of Industry 4.0 technologies has significantly transformed engineering design, manufacturing, and maintenance processes. Among these technologies, Digital Twin (DT) technology has emerged as a powerful tool for creating virtual replicas of physical systems, enabling real-time monitoring, predictive analysis, and adaptive optimization. Parametric joint design is a critical aspect of mechanical and structural engineering because joints directly influence the strength, durability, and operational performance of assemblies. Traditional joint design approaches often rely on static assumptions and iterative prototyping, leading to increased development time and cost. This research proposes an intelligent framework for adaptive parametric joint design and performance optimization through Digital Twin technology. The framework integrates sensor-driven data acquisition, artificial intelligence, machine learning algorithms, finite element analysis, and digital twin models to enable real-time validation and optimization of joint performance. The proposed methodology supports continuous learning, predictive maintenance, and autonomous design adaptation. The study demonstrates that digital twin-enabled optimization can improve structural performance, reduce design cycles, and enhance lifecycle management of engineering systems.

Author Biographies

Rajendra Laxman Bharambe

Research Scholar, School of Engineering & Technology, Vikrant University, Gwalior, (M.P.), India

Dr. Sandeep Kumar Yadav

Ph.D. Guide, School of Engineering & Technology, Vikrant University, Gwalior, (M.P.), India

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