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Ansys Q3D Extractor – Brochure

Ansys Q3D Extractor – Brochure

Q3D Extractor efficiently performs 3-D and 2-D electromagnetic field simulation of electronic structures based on mechanical or electrical (layout) CAD data. You then simply assign material properties, sinks and sources to the imported data and perform a simulation of the model. In addition to providing RLCG outputs, the solvers include current and voltage distributions along with CG and RL matrices.

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Ansys SBR+ – Brochure

Ansys SBR+ – Brochure

Savant provides highly efficient EM analysis of antennas on electrically large platforms. Using the Shooting and Bouncing Rays (SBR) technique, Savant yields full antenna scattering prediction for geometries that are thousands of wavelengths in size, computing: • Far-field radiation patterns • Near-field distributions • Antenna-to-antenna coupling Savant picks up where and accurately.

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EMIT – Brochure

EMIT – Brochure

EMIT provides a powerful new capability to the ANSYS RF Option. It is used to predict radio frequency interference (RFI) in complex environments containing multiple RF systems that must operate simultaneously. EMIT represents a revolutionary advance in RFI analysis providing a host of powerful features for usability, computational efficiency and results diagnostics. EMIT provides a framework for managing RF system performance data, simulating cosite and coexistence RFI effects, and mitigating RFI issues, resulting in a complete model maintainable over the life of a multi-RF system platform or vehicle. EMIT takes a unique multi-fidelity approach to predicting RF cosite/coexistence interference to provide rapid identification and “root-cause” analysis of RFI issues in complex RF environments.

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Ansys HFSS SBR+ – Brochure

Ansys HFSS SBR+ – Brochure

ANSYS HFSS SBR+ is an asymptotic high-frequency electromagnetic (EM) simulator for modeling EM interaction in electrically large environments.

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Reliability Physics in your Design Process (for Managers)

Reliability Physics in your Design Process (for Managers)

Most Electronic OEMs dread demonstrating reliability through testing, because it can be costly, time-consuming and retrospective rather than proactive. Find out why you need RPA in your Design Process.

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Reliability Physics in Your Design Process

Implementing Reliability Physics into the Design Process: What Every Manager and Engineer Needs to Know

Most engineers and management will agree that critical decisions regarding design and reliability should be based on robust analyses and data. Despite this concurrence, product teams within the technology space continue to use outmoded approaches for reliability assurance and risk mitigation. This includes empirical handbook predictions like MIL-HDBK-217 and equivalent, arbitrary derating rules, reliability by similarity, prior experience or even no reliability assessment until physical test.

This inertia is partially due to the difficulty of inserting new practices into an ongoing product development process. And the risk is high, since key performance indicators (KPIs) for directors and vice presidents are based on hitting cost and schedule targets, and not on bettering reliability practices.

This presentation reviews the most common design flows and the common insertion points for existing reliability practices. Design flows will include revolutionary (new design), evolutionary (minor changes, such as obsolescence or price reduction) and original design manufacturer (ODM). Within each design flow, Ansys consultants will provide detailed recommendations on where reliability physics will provide the greatest value, and offer specific details around the activity, information needed and purpose.

At the end of this presentation, engineers and managers will have the foundational knowledge to improve existing processes and educate peers and supervisors as to the value proposition, while minimizing any potential disruption. The long-term goal will be to reduce the engineering resources and time to market necessary to release products into the field, while still reaching or exceeding reliability goals.

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