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Engineering Consulting
The Cape Simulations team covers all computer modeling
and simulations related aspects of a given project, including
problem definition, tool & strategy selection, and
detailed analysis of simulation results. We have very
rapid turn-around times and an extremely competitive cost
structure, all due to decades of experience in modeling
engineering systems.
- Design of New Hardware
- Performance Analysis of Existing Hardware
- Redesign and Modification of Existing Hardware
- Analysis of Third Party Hardware Design
- Redesign for Scale Up
- Failure Analysis of Existing Hardware
Outsourcing
Cape Simulations offers a wide array of out-sourcing options
to complement in-house modeling and simulation capabilities.
Our services include modeling of physically-complex systems,
parametric analysis, and design optimization. This service
is a cost-effective alternative to the expansion of in-house
capabilities to meet short-term needs.
I.P. Validation and Protection
Cape Simulations leverages the power of computer simulation of fundamental laws of physics in complex systems and geometries in to assess whether asserted intellectual property claims are valid and whether an accused device does indeed infringe an IP claim. Staff at Cape Simulations are experienced in IP due diligence and litigation.
Simulation Automation
Starting with an existing simulation tool, we create a
fully automated Simulator which would allow engineers
to conduct what-if and sensitivity analyses without becoming
involved with the details of model generation and numerical
simulation.
For more details see the Simulators section.
Analysis Verification
This service addresses the need of many companies with
in-house modeling and simulation capabilities. Mistakes,
ranging from simple human errors to unjustifiable assumptions,
may lead to wrong simulation results with significant
implications. We provide the other set of eyes needed
to detect modeling inconsistencies or erroneous results.
Our analysis verification procedure includes detailed
understanding of the physical system, critical examination
of all modeling assumptions and solution methods, and
interpretation of simulation output.
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