Research in Manufacturing and Engineering Design

Anchored in Tradition – Soaring with Innovation: Research in Manufacturing and Engineering Design at UW Mechanical Engineering Wei (Wayne) Li Departm...
0 downloads 1 Views 1MB Size
Anchored in Tradition – Soaring with Innovation:

Research in Manufacturing and Engineering Design at UW Mechanical Engineering Wei (Wayne) Li Department of Mechanical Engineering August 16, 2006

Overview • Research in manufacturing and engineering design – Emerging areas • Micro/Nano Manufacturing • Biomedical Manufacturing

• Summary

Superplastic Forming of Friction Stir Welded (FSW) Titanium Joints Prof. Mamidala Ramulu Objective: To develop a FSW/SPF process for Titanium Alloy.

Challenge: • Controlling the geometry, optimizing FSW conditions • Surface and sub-surface integrity • Minimizing defect

Current Status: • Titanium is weldable by FSW • FSW joint Titanium was successfully superplastically formed Funding: The Boeing Company

USC Sample #1394 SR FSW Base Material (Left) –Weld (Right) Transition Line Microstructure (50x Magnification)

USC Sample #1498 FSW SR Base Material (Right)-Weld (Left) Transition Line Microstructure (50x Magnification)

Dynamic Thermal Tensioning to Control Welding Induced Distortion Prof. Wei Li

Objective: To control welding induced distortion caused by production variation.

PLC

Welding torches Preheating torch Preheating torch

Mandrel block

Challenges:

• Large structure, tight tolerance • Coupled thermal mechanical Results: material behavior • Scrap rate from 7% to 1% • Long time-delay • Millions of dollars saved Welding torches

Displacement measurements

Genie Lift

14%

12%

Section 1

Section 2

Section 3

Overall

Banana

Welding induced distortion θ b

Scrap Rate

10%

8%

6%

4%

2%

a 0% Before 1

Funding: Genie Industries, Redmond, WA

After 2

A Unified Algorithm to Predict Vibration of Rotating Flexible Structures Challenges: • • • Rotorcraft

No algorithms are available to predict vibration of rotating machines with arbitrary geometry. Design simulations rely on special software based on specific geometry. Physics of rotating machines remains largely unclear.

Achievements: • Turbine Engines

Funding: NSF, ARO

• •

Prof. I. Y. (Steve) Shen

Developed algorithms to predict response for arbitrary geometry. Filed a patent to protect the algorithm. Transferring technology to software developers.

Manufacture of Polymer Photonic Crystal Fiber Prof. Ann Mescher

1

Polymer preform drawn to photonic crystal fiber (PCF).

2

Objectives:

3

• Incorporate non-linear organics. • Tailor PCF for highly non-linear behavior. • Hole size, pitch controlled to 1-2%.

1. Preform Stage 2. Preform 3. Temperature Controllers 4. Top Iris 5. Power Taps (A & E) 6. Furnace 7. Thermocouple Probes 8. Laser Diameter Gauge 9. Multi-meter

4

6 5

7

8

9

Challenges: • Low processing temperatures. • Convection’s role. • Steady/unsteady flow. • Heat transfer effect on PCF dimensions.

Funding: NSF, STC/MDITR

Draw Tower Facility

Applications: Wavelength converters, high speed light modulation, supercontinuum generation.

Microcellular Plastics Extrusion Profs. Vipin Kumar and Wei Li

Objective: To develop a continuous microcellular extrusion process for environmentally benign plastics: Recycled PET and corn-based PLA

Challenges: • Short gas diffusion time • Fast bubble nucleation • Control of bubble growth Funding: to be funded by NSF

CO2

Stage I SATURATING POLYMER PELLETS

PRESSURE VESSEL

Polymer Pellets Presaturated with CO2 Thermo -lator

Hopper Stage II EXTRUDING PRESATURATED POLYMER PELLETS

Microcellular PVC Foam Die

Motor

Calibrator Barrel

Puller System

Screw

STANDARD SINGLE SCREW EXTRUDER

Vacuum System

Emerging Area 1: Micro/Nano Manufacturing

Fabrication of Micro/Nanoscale Structures Prof. Jae Chung

Objective: To fabricate mass-producible micro/nano structures such as gaps, pores, channels, and membranes 5μm

Array of micropores

1mm

20nm

Substrate for Array of nanopores transmission electron (18nm in diameter) micrscope (TEM)

3μm

Nanoscale gap or channel (23nm width)

Nanomanufacturing Lab. Chung’s group

Molecular Assembly Prof. Jae Chung

Objective: To develop wafer scale assembly of nano/bio materials with an extremely high packing density (for example, 100 molecules/μm) 6µm

1µm

500nm

1nm in height

A multi-walled carbon nanotube

Single-strand λ-DNA

Single walled carbon nanotubes

Silicon nanowires (support of WTC)

Applications: • Sensing platform for bio/chemical species

• Nanoelectronic transistors • DNA analysis Nanomanufacturing Lab. Chung’s group

Emerging Area 2: Biomedical Manufacturing

Patient-Specific Manufacturing (PSM) Profs. Duane Storti, Mark Ganter Randy Ching, Rhonda Anderson

Objective: To rapidly fabricate patient-specific parts

Current Status: • Accurate models (CAD models and physical prototypes) for pre-operative planning created quickly/economically from medical scan data • Provisional patent submitted; pursuing commercialization with Tech Transfer • Clinical trials underway (TGIF funding) • In the works: Bio-compatible custom implants Funding: NSF-STTR, TGIF

Solvent-free Process for Tissue Engineering Scaffolds Profs. Wei Li and Vipin Kumar Objective:

Approach:

To develop a solvent-free processing technique for fabrication of biodegradable porous polymers with interconnected pores

Solid state foaming and ultrasonic cavitation

Results: Original foam sample (Diameter of the sample is 20 mm, pore size 200300 um)

Foam sample after ultrasonic processing

Top

Funding: NSF

Bottom

SEM

Selective Ultrasonic Foaming for Lab-on-a-Chip and Animal-on-a-Chip Devices Objective:

Prof. Wei Li

Approach:

To develop lab-on-a-chip and animal-on-a-chip devices using the selective ultrasonic foaming process.

Creating open cell porous structure with controlled pore size at selected locations.

Example:

Function generator/ amplifier

Inlet 1

a passive micromixer Outlet

Inlet 2

Data acquisition

HIFU transducer Distilled water tub

Mixing channel

Sample Positioning system

Funding: NSF

1 mm

5mm

Other Research • • • • • •

• •

Machining of composites, Mamidala Ramulu, NSF and Boeing Water jet peening, Mamidala Ramulu, Flow International Fuel cell materials selection and design for recycling, Joyce Cooper, DOE and NSF Design of a Thermal Protection System, Ashley Emery, NSF Fabrication of Nanofoam, Vipin Kumar and Wei Li, NSF Rapid manufacturing for autonomous aerial vehicle propulsion, Duane Storti and Mark Ganter, Subcontract from Powerix DoD funding underway Microcelluar coffee cups, Vipin Kumar, WTC and MicroGreen Cluster computing for fluids simulation and CAD, Mark Ganter, Intel

Design of a Thermal Protection System degraded foam

An Application of Global Sensitivity, Gaussian Processes, Markov Chain Monte Carlo, and Bayesian Inference Prof. A F Emery to a highly Stochastic System

Questions: 1) What is the metric of survival? 2) What is it sensitive to? 3) What does its probability look Endothermic like as a function Critical Foam protects of the parameters? components The components

Fire

The Metrics 1) Time for the reaction front to reach the component 2) Thickness of the reaction front

Estimate parameters from TGA Experiments using Bayesian Inference

The model The answer obtained by Gaussian Processes and Markov Chain Monte Carlo

E1 and E2 affect the metrics in different ways and the usual sensitivity calculation completely misses the effect of E1 1.0

local

remaining interactions

0.6

SE ,E 1 2

Sensitivity

0.8

p(pT|r) N[mean,std] N[nominal,std]

0 .3

0.8

local

Sensitivity

0 .4

0 .5

Look at the LONG tail of the arrival time

1.0

remaining interactions

0.6

SE ,E 1 2

0.4

Si

0.4

0 .2

Si

0.2

0 .1

0.2

0.0

E1

0.0 0 .0

E1 55

60

65

70

E2

α

E2

α Threshold

Threshold

Arrival Time

Reaction Zone Thickness

Life Cycle Assessment and Fuel Cells Design Prof. J. Cooper

• Active research topics includes: 1) Emerging technology design for the environment (forecasting the energy/materials use and emissions of mass production design and manufacturing sequences) (2) Fuel cell materials selection and design for recycling

Waterjet Peening Process Prof. M. Ramulu

• Objective:

• Challenge: • Controlling the droplet size, optimizing jet conditions • Inducing desired surface textures • Increasing the compressive layer depth to enhance fatigue strength

• Current status • A mathematical model was developed and verified.

Funding: In-kind support from Flow International

WJ Peened Ti-6-4 Surface

ps f

Nozzle, dn

Erosion occurs a . . .. . Peening range

. . .. .. .. .... . . .. .. . . . . . . . .. . . . . . . .

SODf

The goal of this research is to develop waterjet surface treatment processes at ultra high pressures to induce controlled surface characteristics.

Waterjet Impingement Process

Edge Trimming and Drilling Methods for Composite Materials Prof. M. Ramulu

Objective: Design and development of cutters for machining hard-to-cut materials, such as Polymer, Metal and Ceramic Composite Materials

Challenges: -Cutter design -Surface and edge finishing quality -Process Modeling -Identifying the Cutting Mechanisms

Development of Machining Methods to Composite Materials Conventional Cutting

Routing

Drilling

Milling

Turning

Non-Conventional Cutting

Laser

Ultrasonic Machining) (USM)

Water jet

Abrasive Waterjet (AWJ)

Funding: The Boeing Company and other multiple of local industries

Shaping

History: Work initiated in 1985, 20 years of effort.

Standing: UW is one of the leading schools in composite machining research.

Grinding

Sawing

Electro-Discharge Machining (EDM)

Microcellular Coffee-Cups Prof. V. Kumar

• Recycled PET • Service Temperature, Cycle Time, and Product Stiffness Goals Met • Startup company launched in 2003

PEI Nanofoam Prof. V. Kumar

Cell Size ~ 50 – 150 nm Foam Density Reduction ~ 50% Cell Density ~ 1.4 x 1014 cells/cm3

(Unpublished Result from Kumar’s Lab, May 2006)

Rapid/Additive Manufacturing Profs. Rhonda Anderson, Randy Ching Mark Ganter, and Duane Storti

• Active topics include: –Patient-specific manufacturing –Material systems for rapid manufacturing –Solid modeling systems to support new scanning/fabrication technologies –Autonomous vehicles –Cluster computing applications

Summary • Strength – Anchored in tradition: • Strong research in manufacturing and engineering design • Broad expertise in materials and structures, thermal and fluids, dynamics and controls, and manufacturing and design

– Soaring with innovation • Growing research in emerging areas, micro/nano manufacturing and biomedical manufacturing • Willing to break boundaries of traditional engineering discipline

Summary (cont’d) • Opportunities – Demand for micro/nano manufacturing and biomedical manufacturing technologies • High performance materials, nano devices • Biomedical devices for drug discovery, diagnostics, and disease treatment

– Funding agencies • NSF, NIH, DOD, etc.

– Local environment • State initiative (Life Science Discovery Fund (SB 5581)) • Local biotech industry • Potential collaboration on campus

Suggest Documents