Simcentre
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Simcenter is a comprehensive set of tools for manufacturers to engineer the next generation smart products by using the performance Digital Twin approach. The aim of Simcenter is to remove so-called silos, and to facilitate the collaboration between the various product development stakeholders by uniting all the necessary physics, applications and related solution requirements in one platform. Simcenter solutions were first released in June, 2016.[1][2]
Description[edit]
Simcenter combines physical testing, multidisciplinary computer-aided engineering (CAE), computational fluid dynamics (CFD), multi-physics system simulation solutions, design space exploration and data analytics. The solutions are all managed in a product lifecycle management context, powered by Teamcenter, a dedicated PLM application.
Simcenter applications are used globally across various industries, including automotive industry, aerospace, industrial machinery and heavy equipment, marine, energy and utilities, and more, combining inhouse developed tools with tools that originate from strategic acquisitions of high-technology software companies.[3] [4] [5]
Simcenter Tools[edit]
Testing[edit]
The testing technologies in Simcenter are primarily used for physical prototype verification and validation, correlation analysis and model updating, troubleshooting, as well as product certification. But also for benchmarking existing products, target setting, component validation during design, as well as for the determination of parameters related to new materials and technologies.[6]
| Tools | Short description |
|---|---|
| Anovis | Hardware and software combination for end-of-line testing during manufacturing |
| DYNTYM | Thermal conductivity testing solution |
| Powertester | Hardware for active power cycling testing combined with transient thermal characterization and thermal structure investigation |
| QSources | Excitation hardware for vibro-acoustic measurements |
| SCADAS | Set of data acquisition hardware, mainly for vibration, acoustic and durability engineering, in the lab and in the field |
| SCAPTOR | Recorder for raw sensor and ECU data for in-vehicle ADAS data collection |
| Soundbrush | Hardware and software combination to visualize sound sources in 3D |
| Sound Camera | Hardware and software combination for sound source localization |
| TERALED | Integrated thermal, photometric, and radiometric testing station for LEDs and light engines |
| Testlab | Test-based engineering software for multi-physics data acquisition and analysis |
| Testlab Neo | Task-driven test data acquisition software for tablet |
| Testxpress | Portable sound and vibration analyser |
| T3STER | Hardware solution for thermal characterization |
Multi-physics system simulation[edit]
Multi-physics system simulations are particularly useful during the early stages of the design, as they facilitate the rapid creation of comprehensive models of the design object in all its physical aspects. During later stages, these models can then be gradually refined, as more details become available. But also near the end of the design cycle, multi-physics system simulation are frequently present in validation and verification processes, often in co-simulation scenarios, because of their capability to run in real time.[7]
| Tools | Short description |
|---|---|
| Amesim | Mechatronic simulation software with multiphysics libraries for various applications and industry-specific solutions |
| Flomaster | Simulation software for modelling and analysis in complex piping systems |
| Prescan | Physics-based simulation platform for reliability and safety of ADAS and automated vehicle functionalities |
| Sysdm | Model and data management tool for model-based system simulation |
| System Analyst | Solution to extend the availability of system simulation models throughout project teams |
| System Architect | Platform for quick study of different product architectures through system simulation |
| Webapp server | Web-based solution for system simulation |
Multidisciplinary computer-aided engineering (CAE)[edit]
Multidisciplinary computer-aided engineering usually comes during the detailed engineering phase. After the product concept and architecture are defined, engineers build application-specific models that are sufficiently realistic to study how it will behave in reality. Technologies are typically based on finite elements, boundary elements or similar.[8]
| Tools | Short description |
|---|---|
| Simcenter 3D | Full environment for 3D CAE with connections to design, 1D simulation, test, and data management |
| Battery Design Studio | Software to digitally validate Li-ion cell design with geometrical cell specifications and cell performance simulation |
| Femap | Engineering simulation application for creating, editing and importing/re-using mesh-centric finite element analysis models of complex products or systems. |
| Madymo | Software to analyze and optimize occupant and pedestrian safety designs early in the development process |
| Magnet | 2D/3D simulation software for performance prediction of motors, generators, sensors, transformers, actuators, solenoids, or any component with permanent magnets or coils |
| Motorsolve | Complete design and analysis software for permanent magnet, induction, synchronous, electronically, and brush-commutated machines. |
| Multimech | Multiscale material modeling and simulation platform to predict how, when, and why failure will occur in advanced materials |
| Nastran | Finite element solver |
| SPEED | Tool for the rapid sizing and preliminary design of electric machines such as motors, generators and alternators. |
| Simcenter Tire | Engineering tool to model the highly non-linear tire component |
Computational fluid dynamics (CFD)[edit]
Computational fluid dynamics calculations usually happen during similar product development phases as multidisciplinary computer-aided engineering (CAE). In terms of applications, there is a lot of overlap between the two technology groups. The difference is in the type of solvers that are being applied. Depending on the application, one is more suitable than the other. And often, they are coupled, or one serves as input for the other. CFD calculations are typically very detailed and involve very large computational resources.
| Tools | Short description |
|---|---|
| FLOEFD | CAD-based computational fluid dynamics for design engineers |
| Flotherm | Thermal simulation software for electronics |
| Flotherm XT | CAD-centric and CFD-based electronics cooling simulation software |
| STAR-CCM+ | Integrated multiphysics CFD solution |
Design space exploration and data analytics[edit]
HEEDS - design space exploration software package that can automate workflows and maximizes the use of computational hardware and software resources
Multiple physics and performance aspects[edit]
The aim of removing silos between product development stakeholders is to allow simultaneous optimization of all product performance requirements and physics from the very beginning of the design cycle until the very end. This should result in shorter development cycles compared to traditional verification-oriented approaches. This becomes increasingly important with the rise of products that include innovations such as smart technologies and lightweight materials. Compared to purely mechanical products, those involve a larger variety of physical aspects and a tighter interaction between them.[9] [10][11][12][13][14][15][16][17]
Simcenter includes solutions for various physical aspects, including the following:
- Dynamics
- Durability
- Additive manufacturing
- Electromagnetics
- Electrochemistry
- Materials engineering
- Thermal analysis
- Flow
- Motion
- Acoustics
- Structures
- Energy efficiency
References[edit]
- ↑ {https://blogs.sw.siemens.com/simcenter/siemens-plm-software-launches-the-simcenter-portfolio/}
- ↑ [Wasserman Shawn, Engineering.com (June 16, 2016)]
- ↑ [scientific-computing]
- ↑ [cimdata.com]
- ↑ [machinedesign.com]
- ↑ [Simcenter Testing webpage]
- ↑ [Simcenter System Simulation webpage]
- ↑ [Simcenter CAE webpage]
- ↑ Van der Auweraer, Herman; Anthonis, Jan; De Bruyne, Stijn; Leuridan, Jan (28 September 2012). "Virtual engineering at work: the challenges for designing mechatronic products". Engineering with Computers. 29 (3): 389–408. doi:10.1007/s00366-012-0286-6.
- ↑ Schramm, Dieter; Lalo, Wildan; Unterreiner, Michael (September 2010). "Application of Simulators and Simulation Tools for the Functional Design of Mechatronic Systems". Solid State Phenomena. 166-167: 1–14. doi:10.4028/www.scientific.net/SSP.166-167.1. Unknown parameter
|s2cid=ignored (help) - ↑ Van Beek, TJ; Tomiyama, T (October 12–15, 2008). "Connecting views in mechatronic systems design, a function modeling approach". Proceedings of 2008 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications: 164–169.
- ↑ Alvarez Cabrera, A.A.; Woestenenk, K.; Tomiyama, T. (2011). "An architecture model to support cooperative design for mechatronic products: A control design case". Mechatronics. 21 (3): 534–547. doi:10.1016/j.mechatronics.2011.01.009.
- ↑ Alvarez Carbrera, A.A.; Foeken, M.J.; Tekin, O.A.; Woestenenk, K.; Erden, M.S; De Schutter, B.; van Tooren, M.J.L; Babuska, R.; van Houten, F.J.A.M.; Tomiyama, T. (2010). "Towards automation of control software: A review of challenges in mechatronic design". Mechatronics. 20 (8): 876–886. doi:10.1016/j.mechatronics.2010.05.003.
- ↑ Plateaux, R.; Penas, O.; Choley, Y.K.; M'henni, F.; Riviere, A. (2010). "Integrated design methodology of a mechatronic system". Mécanique Ind. 11 (5): 401–406. doi:10.1051/meca/2010052.
- ↑ Plateaux, R.; Choley, J.Y.; Penas, O.; Riviere, A. (2009). "Towards an integrated mechatronic design process". Proceedings of IEEE ICM International Conference on Mechatronics: 114–119.
- ↑ Syed, F.; Nallapa, R.; Ramaswamy, D. (April 2007). "Integrated modeling environment for detailed algorithm design, simulation and code generation". Proceedings of SAE World Congress & Exhibition. SAE Technical Paper Series. 1. doi:10.4271/2007-01-0274.
- ↑ Warwick, G.; Norris, G. "Designs for success, systems engineering must be rethought if program performance is to improve". Aviation Week & Space Technology. 172 (40): 72–75.
External links[edit]
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