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Ratings and Reviews 0 Ratings
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What is Simcenter STAR-CCM+?
Simcenter STAR-CCM+ is a sophisticated multiphysics computational fluid dynamics (CFD) software that facilitates the simulation of products under realistic conditions. What sets this software apart is its integration of automated design exploration and optimization within the CFD toolkit, making it accessible for engineers. Its all-encompassing platform features CAD, automated meshing, multiphysics CFD capabilities, and advanced postprocessing tools, which empower engineers to comprehensively explore the entire design landscape, leading to faster and more informed decision-making in design. The insights gleaned from using Simcenter STAR-CCM+ help transform the design process into a more strategic endeavor, ultimately yielding innovative products that exceed customer expectations. Optimizing a battery's performance across its full range of operations is a challenging task requiring the simultaneous adjustment of multiple parameters. In this regard, Simcenter offers a robust simulation environment specifically designed for analyzing and designing electrochemical systems, which promotes a thorough understanding of their dynamics. This integrated approach equips engineers with the tools to confidently address complex challenges, thereby enhancing their ability to innovate effectively. Overall, the capabilities of Simcenter STAR-CCM+ not only streamline the design process but also inspire groundbreaking advancements in technology.
What is Simcenter Compose?
Simcenter Compose is a Siemens numerical computing platform built to help engineers develop, automate, and perform custom mathematical operations for simulation and analysis workflows. It is especially useful for CAE pre-processing, post-processing, and working with test result data in system simulation environments. The software supports a broad range of engineering math functions, including linear algebra, matrix manipulation, statistics, differential equations, signal processing, control systems, polynomial fitting, and optimization. Engineers can use it to perform one-time calculations or build reusable scripts for recurring tasks and standardized processes. Simcenter Compose helps users make better engineering decisions by allowing them to calculate, visualize, and interpret results from first principles or imported data. Its native CAE and test result readers make it easier to understand complex systems and support model-based development across multi-domain simulations. The platform includes a user-friendly integrated development environment that combines all major capabilities in a single tool without requiring extra toolboxes. Users can rapidly develop algorithms and explore different approaches more efficiently than they might with spreadsheets or lower-level programming languages. Simcenter Compose is based on Open Matrix Language and also offers compatibility with Octave and Python, which helps teams connect it with broader mathematical and engineering workflows. The software includes useful debugging capabilities and automation features that streamline repeated calculations and common processes. Its 2D and 3D plotting tools allow users to visualize data more clearly and gain stronger insight from calculations, simulations, and test results.
Integrations Supported
Azure Marketplace
Check Point IPS
Check Point Infinity
Oracle Big Data Discovery
PhysicsX
Simcenter Amesim
Integrations Supported
Azure Marketplace
Check Point IPS
Check Point Infinity
Oracle Big Data Discovery
PhysicsX
Simcenter Amesim
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Siemens Digital Industries
Date Founded
1997
Company Location
United States
Company Website
www.plm.automation.siemens.com/global/en/products/simcenter/STAR-CCM.html
Company Facts
Organization Name
Siemens
Date Founded
1847
Company Location
Germany
Company Website
www.siemens.com/en-us/products/simcenter/systems-simulation/compose/
Categories and Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
Categories and Features
CAD
2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization