Capitalizing on Heterogeneity and Anisotropy to Design Desirable Hardware That is Difficult to Reverse Engineer

Author:

Harston Stephen P.1,Mattson Christopher A.1,Adams Brent L.1

Affiliation:

1. Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602

Abstract

This paper presents a method for treating material microstructure (crystallographic grain size, orientation, and distribution) as design variables that can be manipulated—for common or exotic materials—to identify the unusual material properties and to design devices that are difficult to reverse engineer. A practical approach, carefully tied to proven manufacturing strategies, is used to tailor the material microstructures by strategically orienting and laminating thin anisotropic metallic sheets. The approach, coupled with numerical optimization, manipulates the material microstructures to obtain the desired material properties at designer-specified locations (heterogeneously) or across the entire part (homogeneously). A comparative study is provided, which examines various microstructures for a simple fixed geometry. These cases show how the proposed approach can provide hardware with enhanced mechanical performance in a way that is disguised within the microscopic features of the material microstructure.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using Topology Optimization to Numerically Improve Barriers to Reverse Engineering;Journal of Mechanical Design;2013-12-11

2. Creating Barriers to Reverse Engineering Using Topology Optimization;12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference;2012-09-11

3. The fundamentals of barriers to reverse engineering and their implementation into mechanical components;Research in Engineering Design;2011-04-09

4. A Topology Optimization Method with Anisotropic Materials;13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference;2010-06-26

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