Introduction In engineering and product design, Computer-Aided Engineering (CAE) has long been the foundation for simulation, analysis, and optimization. It allows engineers to predict performance and prevent failures before manufacturing, saving both time and cost. However, with the rapid growth of Artificial Intelligence (AI), a new wave of innovation is emerging — AI-integrated simulation. Instead of relying solely on mathematical models, AI-driven CAE enables learning from data, automating processes, and predicting results in real time. This article explores how traditional CAE differs from AI-based simulation, analyzing their principles, benefits, limitations, and the future of digital engineering. Traditional CAE – The...
1. Global Context: Towards Sustainable and Energy-Efficient Products As industries worldwide strive to meet stricter carbon reduction and sustainability standards, such as ISO 14001 and the EU Green Deal, companies are rethinking the way they design and manufacture products.Computer-Aided Engineering (CAE) has emerged as a strategic enabler in this transformation — allowing engineers to design, test, and optimize products that are greener, lighter, and more energy-efficient even before physical prototypes are made. 2. CAE – The Core Technology for Green Design CAE integrates simulation tools such as Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), and Multibody Dynamics to evaluate...
