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Computer-aided engineering

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Computer-aided engineering, commonly known as CAE, is a field of technology used to assist in engineering analysis. Engineers use these digital tools to study how products will behave under different conditions. This process is vital for ensuring that everything from small parts to large machines works correctly. CAE is part of a larger group of technologies called CAx. This group includes computer-aided design (CAD) and computer-aided manufacturing (CAM). Together, these tools help manage the entire life of a product.

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To perform a CAE task, engineers follow a specific three-phase cycle. The first phase is called pre-processing. During this stage, the engineer defines a mathematical model of the object. They also set the environmental factors that will act on that model. They might use a finite element model, or other methods like voxel or thin sheet methods. The second phase is the analysis solver. This step requires high-powered computers to perform complex calculations. The final phase is post-processing. In this stage, engineers use visualization tools to look at the results of the simulation.

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There are several distinct scientific areas within the field of CAE. One major area is finite element analysis, or FEA. FEA is used to study the stress placed on individual components or large assemblies. Another area is computational fluid dynamics, known as CFD. CFD focuses on the analysis of thermal properties and fluid flow. Engineers also use multibody dynamics, or MBD, to study kinematics and how multiple parts move together. Additionally, CAE includes process simulation tools. These tools are used to study manufacturing operations like molding, casting, and die press forming. Finally, CAE involves the optimization of both products and the processes used to make them.

The history of the term CAE dates back to the late 1970s. It was coined by Jason Lemon. Lemon was the founder of the Structural Dynamics Research Corporation, also known as SDRC. Originally, he used the term to describe the use of computer technology in a very broad sense. Today, the industry uses more specific terms to describe these roles. Many professionals now use the term product lifecycle management, or PLM. Others use the term CAx to describe the collective group of computer-aided technologies.

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The automotive industry provides a major example of how CAE is used in the real world. Automakers use these tools to reduce the time and cost of developing new vehicles. CAE helps improve the safety, comfort, and durability of cars. Because CAE tools are so predictive, much design verification happens through computer simulations. This process is often called diagnosis. However, physical testing remains a requirement in the industry. Engineers use physical tests to verify their computer models. They also use them to define boundary conditions and loads. Finally, physical testing is needed for the final sign-off on a prototype.

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As modern products grow more complex, the role of CAE is changing. Many new products include smart systems that require multi-physics analysis. This means engineers must study how different physical forces, like electrical controls, interact. Modern products also use new lightweight materials. Engineers are still learning how to model these materials accurately. To solve this, software companies are developing more powerful solvers. They are also working to better utilize computer resources. They want to include more engineering knowledge directly into the pre-processing and post-processing stages.

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Recent technological breakthroughs are pushing CAE into the future. Companies are now integrating artificial intelligence and machine learning into their tools. These advancements allow for predictive modeling and real-time simulations. There is also an effort to align 3D CAE with 1D system simulation and physical testing. This alignment aims to increase the speed of calculations and the realism of models. Some experts call this enhanced process predictive engineering analytics. This approach seeks to connect product design directly with how a product is used. This connection is especially important for the development of smart products.

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