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White Papers

HP reference architecture for small and medium enterprises

To foster expansion of SME capabilities, the HP-Intel® Innovation Initiative seeks to simplify the user experience, and enable the deployment and maintenance of high performance computing (HPC) infrastructure. The initiative works with business and technology partners, including ANSYS, to build an ecosystem that fosters the use of advanced simulation technologies by small- to medium-sized companies. This ecosystem delivers community outreach and provides access to relevant technology and expertise, such as starter kits and innovation hubs. The ANSYS-optimized recommendations described in this data sheet were developed with support from the Innovation Initiative.

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White Papers

ANSYS Fluent with Fujitsu PRIMERGY HPC: HVAC for Built Environment

This paper provides an overview of high performance computing construction firms and architects can design more efficient, comfortable and safer buildings by developing prototypes through robust simulations including detailed analysis of smoke hazard and counter measures. Highlights include designing for HVAC workloads, applying HPC to production HVAC workloads, Robust design optimization, workload-based design, improving productivity and HVAC modeling capabilities.

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White Papers

End-To-End Cell–Pack–System Solution: Rechargeable Lithium-Ion Battery

Industry has become more interested in developing optimal energy storage systems as a result of increasing gasoline prices and environmental concerns. A major application for energy storage use is hybrid electric vehicles (HEVs) and electric vehicles (EVs). The rechargeable energy storage system is a key design issue, as it dominates overall vehicle performance. The system as a whole must deliver high performance in terms of energy density and power management throughout a variety of driving profiles. The batteries are key elements in sustaining power and energy requirements of the system. However, in many applications the required power and thermal management are key factors for battery sizing. Thermal stability, charge capabilities, lifecycle and cost are also important considerations during the system design process.

ANSYS helps engineers deliver hybrid electric vehicle innovation through end-to-end cell–pack–system simulation that includes multiple physics (electrochemistry, electrical, electronics, thermal, fluidic) and controls (embedded software). A simulation-based approach enables designers to achieve shorter design cycles and optimize battery performance, safety and lifespan.

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White Papers

Why Do I Sometimes See Negative Mutual Inductance in 2D Extractor

Sometimes 2D Extractor returns an inductance (L) matrix whose entries cause concern. Some users are surprised to see a negative off‐diagonal term in the inductance matrix (mutual inductance) because these entries are often all positive. Please be assured that these results are correct and not a cause for worry. This note attempts to explain why this is so.

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White Papers

High-Performance Electronic Design - Predicting Electromagnetic Interference

In designing electronics in today’s highly competitive markets, meeting requirements for electromagnetic compatibility (EMC) presents a major risk factor, especially since small windows of opportunity are critical to business success. ANSYS provides best-in-class tools and a proven methodology for accurately simulating EMI characteristics of electronic systems. This benefi ts development teams by providing insight to implement design modifi cations well before regulatory certifi cation submission.

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White Papers

A Practical Discussion on Fatigue

In this paper we overview the physical behavior responsible for fatigue from initiation to final component failure.

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White Papers

Electric Machine Design Methodology: A Revolutionary Approach

Electric machines are used in novel applications around the world, driven by the need for greater power efficiency in the transportation, aerospace and defense, and industrial automation industries. The automotive sector focuses on the need for hybrid and electric vehicle technology to meet stringent miles-per-gallon standards. The aerospace and defense industry concentrates on replacing existing aircraft power transfer technologies (such as the central hydraulic system) with fault-tolerant electric power, in which major subsystems — including engine starting, primary flight control actuation, pumps and braking — are controlled and driven electronically. In the United States’ industrial sector, more than 40 million electric motors convert electricity into useful work in manufacturing operations. Industry spends over $30 billion (US) annually on electricity dedicated to electric motor-driven systems that drive pumps, fan and blower systems, and air compression.

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White Papers

Intel Solid-State Drives Increase Productivity of Product Design and Simulation

A study of how Intel® Solid-State Drives on workstations running ANSYS* structural mechanics software can improve time to market through faster computing.

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White Papers

Robust Design Optimization in Industrial Virtual Product Development

In this paper different strategies to search for a robust design are presented and investigated with respect to their efficiency and applicability to time consuming numerical models. After starting with deterministic optimization we introduce different measures to define the robustness of a design. An iterative Robust Design Optimization (RDO) is proposed where deterministic optimization is combined with variance-based robustness analysis and final reliability proof. The iterative procedure is compared to coupled RDO approaches, where the robustness or reliability measures are calculated for each optimization design.

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White Papers

Efficient Sensitivity Analysis for Virtual Prototyping

In this paper classical variance based methods are improved by using approximation techniques. Using global and local polynomial regression methods the efficiency of the sensitivity analysis is significantly improved. With this improvement, which is based on the identification of the important input variables, the approximation quality may be much better, than using the full variable space and an application for high dimensional problems is possible.

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