Innovation and collaborative, synchronized program management for new programs
Aerospace & Defense
Innovation and collaborative, synchronized program management for new programsExplore Industry
Automotive & Transportation
Integration of mechanical, software and electronic systems technologies for vehicle systemsExplore Industry
Consumer Products & Retail
Product innovation through effective management of integrated formulations, packaging and manufacturing processesExplore Industry
Electronics & Semiconductors
New product development leverages data to improve quality and profitability and reduce time-to-market and costsExplore Industry
Energy & Utilities
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assetsExplore Industry
Industrial Machinery & Heavy Equipment
Integration of manufacturing process planning with design and engineering for today’s machine complexityExplore Industry
Insurance & Financial
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
Shipbuilding innovation to sustainably reduce the cost of developing future fleetsExplore Industry
Media & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.Explore Industry
Medical Devices & Pharmaceuticals
“Personalized product innovation” through digitalization to meet market demands and reduce costsExplore Industry
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Small & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.Explore Industry
Siemens Digital Industries Software Computer-Aided Engineering (CAE)
Computer-aided engineering (CAE) is the use of computer software to simulate performance in order to improve product designs or assist in the resolution of engineering problems for a wide range of industries. This includes simulation, validation and optimization of products, processes, and manufacturing tools.
A typical CAE process comprises of preprocessing, solving, and postprocessing steps. In the preprocessing phase, engineers model the geometry (or a system representation) and the physical properties of the design, as well as the environment in the form of applied loads or constraints. Next, the model is solved using an appropriate mathematical formulation of the underlying physics. In the post-processing phase, the results are presented to the engineer for review.
Stress and dynamics analysis on components and assemblies using finite element analysis (FEA)
Thermal and fluid analysis using computational fluid dynamics (CFD)
Kinematics and dynamic analysis of mechanisms (multibody dynamics)
Acoustics analysis using FEA or a boundary element method (BEM)
1D CAE, or mechatronic system simulation, for multi-domain mechatronics system design
Mechanical event simulation (MES)
Control systems analysis
Simulation of manufacturing processes like casting, molding and die press forming
Optimization of the product or process
Design decisions can be made based on their impact on performance.
Designs can be evaluated and refined using computer simulations rather than physical prototype testing, saving money and time.
CAE can provide performance insights earlier in the development process, when design changes are less expensive to make.
CAE helps engineering teams manage risk and understand the performance implications of their designs.
Integrated CAE data and process management extends the ability to effectively leverage performance insights and improve designs to a broader community.
Warranty exposure is reduced by identifying and eliminating potential problems. When properly integrated into product and manufacturing development, CAE can enable earlier problem resolution, which can dramatically reduce the costs associated with the product lifecycle.
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