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Cornell University College of Engineering. Computational Synthesis Lab http://ccsl.mae.cornell.edu. Printing Functional Systems. Worlds Within Worlds. Hod Lipson Mechanical & Aerospace Engineering Computing & Information Science Cornell University. Adaptation.
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Cornell University College of Engineering Computational Synthesis Lab http://ccsl.mae.cornell.edu Printing Functional Systems Worlds Within Worlds Hod Lipson Mechanical & Aerospace Engineering Computing & Information Science Cornell University
Adaptation • Changing environments, tasks, internal structures • Behavioral adaptation • Morphological adaptation
Breeding machines in simulation Lipson & Pollack, Nature 406, 2000
Emergent Self-Model Bongrad, Zykov, Lipson (2006) Science, in press
Damage Recovery With Josh Bongard and Victor Zykov
Multi-material processes Continuous paths Volume Fill High-resolution patterning, mixing Thin films (60nm)
Multi-material RP Illustration: Bryan Christie
Our RP Platform Fabrication platform: (a) Gantry robot for deposition, and articulated robot for tool changing, (b) continues wire-feed tool (ABS, alloys), (c) Cartridge/syringe tool
Printed Active Materials Some of our printed electromechanical / biological components: (a) elastic joint (b) zinc-air battery (c) metal-alloy wires, (d) IPMC actuator, (e) polymer field-effect transistor, (f) thermoplastic and elastomer parts, (g) cartilage cell-seeded implant in shape of sheep meniscus from CT scan. With Evan Malone
Zinc-Air Batteries With Megan Berry
IPMC: Ionomer Ionomeric Polymer-Metal Composite • “Ionic polymer” • Branched PTFE polymer • Anion-terminated branches. • Small cation
First printed dry actuator • Quantitative characterization • Improve service life • Reduce solvent loss • Reduce internal shorting • Improve force output, actuation speed
Embedded Strain Gages Silver-doped silicon Robot finger sensor
IPMC: Ionomer Ionomeric Polymer-Metal Composite • “Ionic polymer” • Branched PTFE polymer • Anion-terminated branches. • Small cation
First printed dry actuator • Quantitative characterization • Improve service life • Reduce solvent loss • Reduce internal shorting • Improve force output, actuation speed
Results Power [W] Force [mN]
With Daniel Cohen, Larry Bonassar Multi-material 3D Printer CAT Scan Direct 3D Print after 20 min. Sterile Cartridge Printed Agarose Meniscus Cell Impregnated Alginate Hydrogel Multicell print
The potential of RP • Physical model in hours • Small batch manufacturing • New design space • Design, make, deliver and consume products • Freedom to create
Learning from the history • Similarity with the computer industry • In the ’50s-’60s computers… • Cost hundreds of thousands of $ • Had the size of a refrigerator • Took hours to complete a single job • Required trained personal to operate • Were fragile and difficult to maintain • Vicious circle • Niche applications Small demand • Small demand High cost Niche applications Digital PDP-11, 1969 Stratasys Vantage, 2005
Exponential Growth RP Machine Sales Source: Wohlers Associates, 2004 report
The Killer App? Honeywell’s “kitchen Computer”
Robust • Low cost • Hackable
Fab@Home Precision: 25µm Payload: 2Kg Acceleration: 2g Volume: 12”x12”x10”
Reconfigurable systems • Murata et al: Fracta, 1994 • Murata et al, 2000 • Jørgensen et al: ATRON, 2004 • Støy et al: CONRO, 1999 • Fukuda et al: CEBOT, 1988 • Yim et al: PolyBot, 2000 • Chiang and Chirikjian, 1993 • Rus et al, 1998, 2001 Zykov, Mytilianos, Adams, Lipson Nature (2005)
Stochastic Systems: scale in size, limited complexity • Whitesides et al, 1998 • Winfree et al, 1998 Programmable Self Assembly
Hardware implementation: 2D White, Kopanski & Lipson, ICRA 2004
Implementation 1: Magnetic Bonding With Paul White, Victor Zykov
Construction Sequence High Pressure Low Pressure
Implementation 2: Fluidic Bonding Accelerated x16 Real Time With Paul White, Victor Zykov