Overview
Simcenter is Siemens’ simulation and testing platform that enables manufacturers to engineer better products by combining physics-based simulation with data analytics and testing. Built to support model-based systems engineering (MBSE), Simcenter helps predict real-world performance across multiple fields—mechanical, thermal, flow, acoustic, and more.
By integrating simulation into the product development process, Simcenter allows teams to innovate faster, lower prototyping costs, and make sure products meet performance, reliability, and safety goals right from the start.
Capabilities of
Simcenter
Structural & Thermal Analysis
Simulate stresses, deformations, and temperature distributions under static and dynamic loads using finite element analysis (FEA).
Computational Fluid Dynamics (CFD)
Model airflow, cooling systems, and fluid mixing to optimize thermal performance and fluid interactions.
Acoustics & Noise Prediction
Analyze and reduce noise, vibration, and harshness (NVH) using advanced acoustic simulation tools.
Multibody Dynamics
Simulate motion, forces, and kinematics of mechanical systems and assemblies to validate behavior.
Test and Measurement Integration
Correlate simulation with real-world test data to refine models and improve prediction accuracy.
System Simulation (1D & 3D)
Model complex systems like powertrains, HVACs, and control systems to understand performance at the system level.
Design Space Exploration & Optimization
Use AI, DOE, and parameter studies to explore variations and optimize for key performance indicators.
Digital Twin Implementation
Build high-fidelity digital twins to monitor and simulate operational performance throughout a product’s lifecycle.
Key Benefits of Simcenter
Accelerated Innovation Cycles
Shorten development timelines with early and continuous simulation. This lets teams make informed design decisions sooner.
Lower Prototyping Costs
Decrease reliance on physical testing by validating performance digitally, saving time and costs on rework.
Multiphysics Simulation
Simulate real-world conditions across various physical domains to improve accuracy and product robustness.
Increased Product Reliability
Analyze performance under stress, vibration, fatigue, or environmental conditions to prevent failures in the field.
AI-Driven Design Exploration
Use artificial intelligence and data analytics to explore design alternatives and optimize for performance, cost, and sustainability.
Connect With Us
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