Abstract

Augmented reality (AR) has recently become a worldwide research topic. AR technology renders intuitive computer-generated contents on users’ physical surroundings. To improve process efficiency and productivity, researchers and developers have paid increasing attention to AR applications in engineering analysis and simulation. The integration of AR with numerical simulation, such as the finite element method, provides a cognitive and scientific way for users to analyze practical problems. By incorporating scientific visualization technologies, an AR-based system superimposes engineering analysis and simulation results directly on real-world objects. Engineering analysis and simulation involving diverse types of data are normally processed using specific computer software. Correct and effective visualization of these data using an AR platform can reduce the misinterpretation in spatial and logical aspects. Moreover, tracking performance of the AR platforms in engineering analysis and simulation is crucial as it influences the overall user experience. The operating environment of the AR platforms requires robust tracking performance to deliver stable and accurate information to the users. In addition, over the past several decades, AR has undergone a transition from desktop to mobile computing. The portability and propagation of mobile platforms has provided engineers with convenient access to relevant information in situ. However, on-site working environment imposes constraints on the development of mobile AR-based systems. This paper aims to provide a systematic overview of AR in engineering analysis and simulation. The visualization, tracking techniques as well as the implementation on mobile platforms are discussed. Each technique is analyzed with respect to its pros and cons, as well its suitability to particular types of applications.

Highlights

  • Engineering problems are generally mathematical models of physical phenomena [1]

  • This paper aims to provide a systematic overview of Augmented reality (AR) in engineering analysis and simulation

  • There exists a number of numerical simulation software, many of which are based on a WIMP-style environment

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Summary

Introduction

Engineering problems are generally mathematical models of physical phenomena [1]. The solution of a physical problem can be approximated by using engineering analysis and simulation techniques, such as numerical simulation. A near real-time interaction with these virtual and real objects enables a user to judge multiple parameters simultaneously and analyze the problem efficiently. AR is capable of providing an immersive and intuitive environment for the user to achieve near real-time simulation results for problem analysis. The first subsection summarizes traditional computer-aided engineering analysis and simulation technologies and their limitations. The last subsection provides a statistical survey on the trend of using AR in engineering analysis and simulation

Traditional Computer-Aided Engineering Analysis and Simulation Technologies
Basic Architecture in AR based System
The Trend of Using AR in Engineering Analysis and Simulation
Four combinations are usedand to filter relevantin
Current AR Applications in Engineering Analysis and Simulation
Magnetic model is restricted
Result Visualization
Interaction and Collaboration
Client-Server Network Architecture
Conclusions and and Potential
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