Passive The Thermo-Ada Adapti ptive e Te Textiles s With - - PowerPoint PPT Presentation

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Passive The Thermo-Ada Adapti ptive e Te Textiles s With - - PowerPoint PPT Presentation

Passive The Thermo-Ada Adapti ptive e Te Textiles s With Laminated Polymer Bimorphs Jean Chang Brent Ridley Shara Maikranz Project Manager Senior Engineer Engineer PhD MIT PhD MIT MS Berkeley Materials Yarn production


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SLIDE 1

Ma May 8, 2015 - Ma May 7, 2017

Passive

The Thermo-Ada Adapti ptive e Te Textiles s

With Laminated Polymer Bimorphs

AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017 Oth Otherla lab San Francisco

Brent Ridley Project Manager PhD MIT Materials Strategy IP Jean Chang Senior Engineer PhD MIT Yarn production Machine design Testing Shara Maikranz Engineer MS Berkeley Computation Heat transfer Thermal testing Robert Fry Product Advisor MFA UNM VP at BD Product Strategy Leah Bryson Textiles Design BFA RISD Textiles design Weaving Knitting Saul Griffith T2M PhD MIT CEO Otherlab Innovation Partnering

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SLIDE 2

0.0 0.5 1.0 1.5 2.0

  • 15
  • 10
  • 5

5 10 15 20 Measured Thermal Resistance (clo) Ambient Air Temperature (ºC)

Re Resp sponsi

  • nsive Insul

Insulation V

  • n Value

ue

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insulation increases as temperature decreases

AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017

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SLIDE 3

0% 100% 200% 300% 400% 500% 10 15 20 25 30 35 40 Relative Fabric Thickness Fabric Temperature (ºC)

Acti Activati tion Tem empera peratu ture re

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activation temperature shift 4x 3x 2x 1x

AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017

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SLIDE 4

Des Descript criptio ion of Tech echnolo logy gy

Inspired By Bimorphs

Pair two materials together Differential expansion causes bending Motion limited by ∆CTE Motion limited by structure Motion limited by process

AR ARPA-E E DEL DELTA Program Kick ckoff May 21-22, 2015 Oth Otherla lab San Francisco

Timoshenko J Opt Soc Am 1925

AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017

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SLIDE 5

Cha Challeng nges

Beyond Bimorphs

Passively responsive textiles require ordering and coordination at three different length scales nm – molecular µm – yarn mm – textile There are millions of fibers in a typical shirt – actuators must be cheap enough and small enough to integrate into yarn and fabric Start with commodity materials already used in textiles Fibers and yarns are processed to control thermal expansion properties Actuators must behave cooperatively to meaningfully change fabric thickness in response to small temperature changes Textile structure is carefully designed Textile production and processing are carefully controlled

Oth Otherla lab San Francisco AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017

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SLIDE 6

Va Value Pr Prop

  • posi
  • sition
  • n

Thermal Comfort + Energy Savings

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  • 30
  • 20
  • 10

10 20 30 18 19 20 21 22 23 24 25 26 Heat Transfer Rate Change With Ambient Temperature metabolic rate = 1.0 met = 58 W/m2 thermally adaptive attire shorts and shirt light office attire full office attire heavy office attire Air Temperature (ºC) Power Retained or Lost (W)

AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017

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SLIDE 7

Sum Summary

Otherlab Has Made an Adaptive Fabric

Fabric more than doubles its insulation in response to ∆T = 10 ºC Fabric doubles thickness in response to ∆T = 10 ºC Activation temperature can be controlled Made from commodity materials (polyester, nylon, cotton) Yarn and textile design and production carried out at Otherlab

Otherlab Wants to Make Adaptive Garments

Yarn and fabric production and quality control are essential Secondary performance characteristics need exploration and iteration First entry to market needs to be determined and product developed Thermal performance will need to be tuned for optimal comfort

Oth Otherla lab San Francisco AR ARPA-E E DEL DELTA Program Rev eview ew January 17-18, 2017