Rapid Prototyping Via Photopolymerization ISE 767 Rapid Prototyping .
University of Pennsylvania Automated Design and Prototyping of Macro and Micro Compliant Mechanisms...
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Transcript of University of Pennsylvania Automated Design and Prototyping of Macro and Micro Compliant Mechanisms...
University of Pennsylvania
Automated Design and Prototyping ofMacro and Micro Compliant Mechanisms
Compliant mechanism concept leads to a clean separation of design/modeling from manufacturing/assembly activities. The objective of this research is to provide a link between the two through efficient data translations and automated reverse engineering techniques.
• Optimal topology design of compliant mechanisms
• Automatic image interpretation and creation of solid model from optimized topology image
• Reverse engineering for microfabricated artifacts
• Image processing for edge-extraction and object-finding
• Writing IGES file for Pro-Engineer
• Macro prototyping using Stratasys FDM 1650 rapid prototyping system
• Micro prototyping using MCNC’s Multi-User-MEMS-Processes (MUMPs)
• Automated metrology for a ceramic meso-scale machining
Objectives
University of Pennsylvania
PerformanceSpecifications
SynthesisSolution
Refined DesignSolution
Meshed Modelfor Analysis
Solid Model fromthe OptimizedDevice
Digital Formatfor SFF or CNC
Mask Layoutfor Microfab.
MicroPrototype
MacroPrototype
RefinedPrototype
CAD model fromthe macro prototype
Design and Prototyping of Macro & Micro Compliant Mechanisms
Fabrication/Prototyping
Digital Interface
Design
Reverse Engineering
Solid model frommicroscopic images
University of Pennsylvania
•Arc and line extraction
•Model creation
•Manufacturing
Algorithm for model extractionWe utilize a six step method for creating a solid model from either a photo or a synthesized optimal design.
•Image filtering
•Edge detection
•Object characterization
We rely on two primary assumptions:•the images of interest have high contrast •the images are not cluttered with extraneous visual data
Each step utilizes simple image processing techniques.
University of Pennsylvania
1. Image Filtering and Thresholding•The synthesized designs are generally coarsely pixelated. We use a blurring operation to smooth the image•A simple contrast threshold is then used to separate areas with material from ones without
2. Edge Detection•We use a simple binary filter to extract edges from the image•Each edge is guaranteed to be only a single pixel wide
3. Object Extraction•Assume that all objects have closed loop boundaries•Scan the image to find a boundary, and then follow that boundary to identify an object•The connectivity of each object is stored for further processing
University of Pennsylvania
4. Arc and Line Extraction•Each object is analyzed to generate a model based on best fit arcs and lines •Algorithms inspect groups of adjacent points to see if arcs or lines can approximate points to within a given tolerance
5. Model Creation•Each object is resolved into a connected set of lines and arcs and written to an IGES file•The IGES file can be read by a variety of programs for FEA/FEM, solid modeling, etc. We import into Pro/Engineer and generate a 3-D model by extrusion
6. Manufacturing•A macro prototype is then generated from the solid model•Using a Fused Deposition Modeling (FDM) machine, a plastic prototype can be generated (it is slightly brittle)•Using a CNC machining center, more robust prototypes can be machined out of polystyrene or aluminum
University of Pennsylvania
This EPS image does not contain a screen preview.It will print correctly to a PostScript printer.File Name : crimper_flow.epsTitle : (proposal.fig)Creator : (Microsoft PowerPoint: LaserWriter 8 8.2)CreationDate : (8:30 PM Saturday, August 10, 1996)Pages : 1
University of Pennsylvania
University of Pennsylvania
University of Pennsylvania
University of Pennsylvania
University of Pennsylvania
University of Pennsylvania
University of Pennsylvania