Recent Advancements in Knowledge-Based Parametric Modeling of Mechanical Components

This paper provides an in-depth exploration of the cutting-edge developments in knowledge-based parametric modeling within the domain of mechanical engineering. It examines the latest advancements that leverage domain-specific knowledge integration into parametric models, enabling intelligent systems to adeptly navigate varying design constraints while optimizing performance criteria. The paper surveys the application of advanced algorithms, machine learning, and artificial intelligence in augmenting parametric modeling methodologies, paving the way for the seamless synthesis of intricate mechanical components. The transformative potential of knowledge-based parametric modeling is elucidated in this paper through comprehensive analysis and case studies. The current state, emerging trends, and potential future directions are presented for this dynamic field, which is shown to have a pivotal role in the advancement of the design and development of mechanical components.