cae and rapid prototype

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1

The University of Michigan

Computational Mechanics Laboratory

CAE and Rapid Prototype

1. Integrated Design Approach

2. Future CAE : Image Based

3. Rapid Prototype

4. Layered Manufacturing

2

The University of Michigan

Computational Mechanics Laboratory

Toward Integration

for

manufacturing

Production Engineering

3

The University of Michigan

Computational Mechanics Laboratory

Integrated Design Approach

• Geometric Modeling– CAD (non-existing) and CT Scanning (existing)

• Image Based CAE– Image Based Analysis Model Development

– FE Analysis / VOXELCON

– Redesign and Design Optimization / OPTISHAPE

• Rapid Prototype with Common Database

• Layered Manufacturing

4

The University of Michigan

Computational Mechanics Laboratory

Common Database

• We have common database : compressedimage data with jpeg/gif format that can berapidly converted to STL and SLC fileswhich are common in rapid prototype andlayered manufacturing

• 500 slices data can be about 7 MB

• CAD IGES or STEP format is not sufficientto construct an integrated system

5

The University of Michigan

Computational Mechanics Laboratory

Image Based CAE- a new concept -

for

an integrated system

of

Production Engineering

6

The University of Michigan

Computational Mechanics Laboratory

Started From OPTISHAPE

Optimal topology/shape is

represented by pixel/voxel on/off

condition (image)

7

The University of Michigan

Computational Mechanics Laboratory

8

The University of Michigan

Computational Mechanics Laboratory

Why Not To Use This !

Apply CT Scanning Scanned3D Image

Voxel Mesh for FEA

9

The University of Michigan

Computational Mechanics Laboratory

Scanning / Example

l 1 Week with $ 2,800

resolution : 0.2 ~ 0.5 mm

10

The University of Michigan

Computational Mechanics Laboratory

CT Slices of the Caliper

11

The University of Michigan

Computational Mechanics Laboratory

3D Surface Rendering

12

The University of Michigan

Computational Mechanics Laboratory

Stress AnalysisMesh From CT Scan150,000 3-D Elements

13

The University of Michigan

Computational Mechanics Laboratory

Design Optimization9% Weight Reduction

OPTISHAPE

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The University of Michigan

Computational Mechanics Laboratory

Comparison by Sections

15

The University of Michigan

Computational Mechanics Laboratory

Rendering of Designed One

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The University of Michigan

Computational Mechanics Laboratory

Advantage of IBCAE

l Scanning ~ At Most 1 Week

l FE Meshing ~ A Few Minutes

l FE Analysis ~ 1 to 2 Days

l Total 10 Days

l Standard FEA 3 Months or more

17

The University of Michigan

Computational Mechanics Laboratory

Why Image Baed ?

OPTISHAPE

+

Rapid Prototype Technology

Solid Free Form Fabrication

Short Turn Around Time

18

The University of Michigan

Computational Mechanics Laboratory

Common Database for CAD

• VOXELCON & OPTISHAPE generate STLfiles of solid models and optimized layoutof structures

• STL files are used in Rapid Prototypeequipment such as SL machines

• From STL files SLC files as well as WireFrame models are generated

CAD Linked Common Database

19

The University of Michigan

Computational Mechanics Laboratory

SFF is a Key Technology

FREE FORMFABRICATION

DIRECTENGINEERING

RAPIDTOOLING

for Advanced Engineering and Fabrication Process

Design ConceptProduct & Process DesignMfg. & Product CAEPrototypeFixture Design

20

The University of Michigan

Computational Mechanics Laboratory

Free Form Fabrication(SFF)

SFF is an array of different technologiesfor the purpose of creating physical objects directly from three dimensionalsurfaced or solid geometric data byutilizing very thin slices of the geometricdata to create the model

--- Mr. Peter R. Sferro, Ford Motor

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The University of Michigan

Computational Mechanics Laboratory

SFF Benefits & Growth

l According to Mr. Sferro, Ford Motor,only300 parts are FFFed in 1988, but more than15,000 parts in 1994

l Savings– Cost 50 ~ 75%

– Timing 70 ~ 95%

l Quality : Optimized Design

22

The University of Michigan

Computational Mechanics Laboratory

Typical SFF Technologies 1

l Sintering

l Lamination– KIRA, HELISYS, FORD, CAD/LAM

l Jet Droplets– MIT, SANDERS, BPM, SOLIDGEN

l Photo Polymer– Stereo-Lithography, Cubital, EOS, Sony

23

The University of Michigan

Computational Mechanics Laboratory

Typical SFF Technologies 2

l Extrusion– IBM, STRATASYS

l Welding– Rocketdyne, Sarasota, Nottingham

l Plasma Spray– MD, Stanford

24

The University of Michigan

Computational Mechanics Laboratory

Stratasys

About $65,000for this equipment

25

The University of Michigan

Computational Mechanics Laboratory

Examples by Stratasys

26

The University of Michigan

Computational Mechanics Laboratory

Design To Rapid Prototype

l Image Processing from Voxel Data in theHomogenization Design

– remove of point contact

– manufacturability constraints (curvature)

– creation of a SLC/STL file for SFF

l CAD data generation for SFF

l Rapid Prototype by SFF(Solid Free FormFabrication) Machines

27

The University of Michigan

Computational Mechanics Laboratory

Isotropic Material Design

nPoisson’s ratio -0.5

28

The University of Michigan

Computational Mechanics Laboratory

29

The University of Michigan

Computational Mechanics Laboratory

Rapid Prototype

Prashant Kulkarni

30

The University of Michigan

Computational Mechanics Laboratory

Layer-by-Layer

l Emerging manufacturing technology isbased on layer-by-layer, point-by-pointformation of a shape ( geometry )

– Reverse way of formation of geometry

– Sculpture is taking out unnecessary portion, but

– These methods is building up a shape point-by-point, and layer-by-layer

– Truely digital formation of a shape

l Why not paying more attention to this !

31

The University of Michigan

Computational Mechanics Laboratory

Layered Manufacturing

l Rapid Prototype– Stereo-Lithgraphy

– Fusion Deposition

– 3D Printing

l LayeredManufacturing

32

The University of Michigan

Computational Mechanics Laboratory

Typical Layerd ManufacturingProcesses

Stereolithography Selective Laser Sintering

Fused Deposition Modeling

Foam foundation

Roll of raw material

rollersheating chamber

nozzlepowder bed

powder storage

CO laser2

roller

mirrorvat of liquid polymerElevator

table

mirror

He-Cd Laser

33

The University of Michigan

Computational Mechanics Laboratory

A Comparison

SLA – StereolithographySGC – Solid Ground CuringSLS – Selective Laser Sintering3DP – Three Dimensional Printing

FDM – Fused Deposition ModelingLOM – Laminated Object Manufacturing

SMM – Sanders Model MakerSDM – Shape Deposition Modeling

build matl.liquid powder solid

wax

plastic

ceramic

paper

metal

FDM SMM

3DPSLA

LOM

SGC SLS FDM SMM

SLA 3DP SLS

SDM

_

_

_

_

SLS

_ 3DP SLS

,

, , ,

,

,

State of

34

The University of Michigan

Computational Mechanics Laboratory

35

The University of Michigan

Computational Mechanics Laboratory

Now there is possibility to makein real sense integration

For

Production Engineering

Based on

the Concept of OPTISHAPE

36

The University of Michigan

Computational Mechanics Laboratory

We are heading to

Development of an integrated systemfor Computer Aided Production

Engineering ?

CAPE

37

The University of Michigan

Computational Mechanics Laboratory

OPTISHAPE

Present & Near Future

38

The University of Michigan

Computational Mechanics Laboratory

OPTISHAPE QUINT

TOPOLOGY Michigan Kikuchi/Diaz

SHAPEToyohashi Azekami

SIZINGNASA Ames Dr. Miura

FLEXIBLEMULTI-BODIES Michigan Kikuchi/Nishiwaki

MSC/PATRANSDRAC I-DEAS

39

The University of Michigan

Computational Mechanics Laboratory

Other Activity

• ALTAIR Computing– OPTISTRUCT X GENESYS

• Vanderplat Associate– GENESYS X HYPERMESH/OPTISTRUCT

• MSC Europe– MSC/TOPOLOGY (Just Static)

• ANSYS TOPOLOGY (Just Static)

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