Online Information Recovery and Controls with Gappy Data: Overcoming the Shannon-Nyquist Limitation in Naval Applications
Abstract
Project Title:Computational Synthesis of Composable-Material Structures from Manufacturing-Friendly PrimitivesPrincipal Investigat"or: Juli~n Norato Escobar, Assistant ProfessorPrime Offeror: University of ConnecticutTotal Funds Requested: $329,020Research Pro"blem: this project addresses a significant gap in computational methods to generatestructural concepts: no computational method exi"sts today to render optimal designs madeof primitives that can be realized with existing manufacturing processes, and that are made" ofcomposable materials whose properties can be simultaneously designed at multiple length scales.Composable-materials are herein" defined as those whose properties can be spatially controlled tovarious extents by manufacturing processes, including composite ma""terials, functionally-gradedmaterials and multi-material mixtures that can be obtained via additive manufacturing techniques.Multi"#NAME?Technical Approach: This proposal advances a computational synthesis framework based ontopology optimization for the design explor"ation of composable-material, multi-level structures.A central requirement of this framework is that the structure is made of geome""tric primitives thatconform to available manufacturing processes at every length-scale level. To achieve this, threefundamental el"ements are required: 1) the ability to render designs made of primitives; 2) the abilityto orient the anisotropic material properties with respect to a primitive; and 3) the ability tosimultaneously design the multiple length-scale levels that make the structure". The proposed workbuilds on the geometry projection paradigm for topology optimization recently advanced by thePI, whereby the st""ructure is made of the union of discrete primitives such as plates and bars, whosegeometry is represented analytically. This analyt"ical geometry description is smoothly projectedonto a fixed finite element grid for analysis. This methodology addresses the first of the aforementionedelements. The fundamental advances proposed in this project pertain to augmenting thegeometry projection par"adigm to a) allow for the orientation of material properties relative to theprimitives, and b) support the simultaneous design of m""ultiple length scale levels in the structure.Anticipated Outcome: if successful, this project will result in the first computationa""l conceptdesign framework that takes advantage of composable materials at multiple levels. Importantly,the designs produced by thi"s framework are compatible with manufacturing techniques for componentsmade of composable materials. These capabilites will overcom"e substantial limitations ofexisting topology optimization approaches, namely that they cannot orient the anisotropic propertiesof"" composable materials in relation to the structure in a manner that is consistent with manufacturing,and that they typically produc""e organic, ~free-form~ designs that in most cases cannot bemanufactured with existing processes.Future Naval Relevance: The propose""d framework constitutes a fundamental design capability,and as such, has applications across Naval structures, including aircraft a"nd ship structures.The potential reduction in weight resulting from novel concepts obtained with this capability willresult in imp"roved mission performance, including longer ranges, increased payload and/or decreasedfuel consumption.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712505
Entities
People
- Julian Norato Escobar
Organizations
- Office of Naval Research
- United States Navy
- University of Connecticut