- Increase reliability for mechatronic systems, PCBs & wire harnesses
- Implement Robust Design analyses such as stress, sensitivity, Monte Carlo, etc.
- Quickly create a virtual system design
- Reduce the need for physical prototypes
- Increase model portability with language standards VHDL-AMS & MAST
- Ensure accuracy by accessing a library of 30,000+ models
- Create models quickly with model characterization tools
- Protect intellectual property with model encryption
- Integrate with popular 3D CAD tools (Catia V5, Siemens(UGS), Pro/E)
- Verify hardware/software interaction with co-simulation
- Integrate: MATLAB/Simulink, Zuken, Mentor Graphics, Cadence, Synopsys VCS
- Use grid computing to minimize time for compute intensive statistical analyses
By using Saber to implement a Robust Design methodology, design project teams achieve target reliability, while optimizing the design for performance and cost. The reliability and cost problems associated with over/under-design are avoided and the project schedule is shortened because hardware prototype iterations are reduced or eliminated.
- Benefits of Robust Design Methodology
- Improve ROI
- Reduce need for physical prototypes (time and $$)
- Reduce time to market
- Eliminate design problems early (no ECOs on production line)
- Improve Product Quality
- Reduce product recalls and field failures
- Manage supply chain using same principles
- Recursive benefits based in modeling methodology
- Saber Advantages
- Efficient implementation of all Robust Design analyses
- Fast virtual system design supported by 30,000+ models
- Compute intensive statistical analyses performed with grid computing
- Accurate model creation with model characterization tools
- Increased model portability with standards MAST & VHDL-AMS
- Intellectual property protected with model encryption
Article: Improving System Reliability Using the Saber Simulator in a Robust Design Flow
WebEx (55 min): Using Simulation to Implement a Robust Design Flow
- SAE Paper:
Designing Automotive Subsystems Using Virtual Manufacturing and Distributed Computing (GM)
Model Language Standards and Encryption: MAST and VHDL-AMS
VHDL-AMS and MAST provide for comprehensive simulation and portability to other design teams or companies in the development cycle. The ability to encrypt these models is crucial for protecting intellectual property.
Saber Models: Analog/Mixed-Signal, Multi-Level, and Multi-Domain
Comprehensive simulation requires the flexibility to model a wide range of component types at various levels of abstraction. Abstraction levels range from high-level architectural models to detailed behavioral models that mimic the physical attributes of the actual device. Model domains include electrical, mechanical, hydraulic, pneumatic, control, magnetic, thermal, optical, and more.
Saber Model Libraries
Access to existing, proven models is one of the most valuable advantages to a design team applying system simulation. Saber users have access to 30,000+ characterized models and model templates for mechatronic, semiconductor, power electronics, in-vehicle networks, and a wide range of component types. Saber Modeling Tools
- Easy to use graphical model creation tools allow for fast turn-around even for those with no experience with modeling languages. Saber modeling tool categories include: