Thermoplastic variable stiffness composites with embedded, networked sensing, actuation, and control

Journal of Composite Materials

Volumn 49, Issue 15, 2015, Pages 1799-1808

  McEvoy, M Andy ^a   Correll, Nikolaus ^a  

^a UCB 450   (United States)

Author keywords

embedded computation; robotic materials; Variable stiffness

Indexed keywords

COMPUTATION THEORY; LOGIC PROGRAMMING; REINFORCED PLASTICS; SLIDING MODE CONTROL; STIFFNESS;

BASE MATERIAL; COMPUTATIONAL LOGIC; EMBEDDED COMPUTATION; LOCAL SLIDING; LOCAL TEMPERATURE; MULTI HOP COMMUNICATION; VARIABLE STIFFNESS;

CONTROLLERS;

EID: 84930751327     PISSN: 00219983     EISSN: 1530793X     Source Type: Journal    
DOI: 10.1177/0021998314525982     Document Type: Conference Paper

References (39)

1. Abelson H, Allen D, Coore D, et al. Amorphous computing. Commun ACM. 2000 ; 43: 74-82
2. Berlin AA, Gabriel KJ. Distributed MEMS: new challenges for computation. IEEE Comput Sci Eng. 1997 ; 4: 12-16
3. Ihn JB, Chang FK. Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics. Smart Mater Struct. 2004 ; 13: 609-609
4. Lang W, Lehmhus D, van der Zwaag S. Sensorial materials - a vision about where progress in sensor integration may lead to. Sens Actuat A Phys. 2011 ; 171: 1-2
5. Lang W, Jakobs F, Tolstosheeva E, et al. From embedded sensors to sensorial materials - the road to function scale integration. Sens Actuat A Phys. 2011 ; 171: 3-11
6. Gao Y, Spencer B, Ruiz-Sandoval M. Distributed computing strategy for structural health monitoring. Struct Control Health Monitor. 2006 ; 13: 488-507
7. Zhang J. On-board computing for structural health monitoring with smart wireless sensors by modal identification using Hilbert-Huang transform. Math Problem Eng. 2013 ;:
8. Zhao X, Gao H, Zhang G, et al. Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring. Smart Mater Struct. 2007 ; 16: 1208-1208
9. Zhao X, Qian T, Mei G, et al. Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network: II. Wireless approaches. Smart Mater Struct. 2007 ; 16: 1218-1218
10. Kahn JM, Katz RH and Pister KS. Next century challenges: mobile networking for "Smart Dust". In: Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking, 1999, pp.271-278. Seattle, WA: ACM.
11. Budelmann C, Krieg-Brückner B. From sensorial to smart materials: intelligent optical sensor network for embedded applications. J Intell Mater Syst Struct. 2013 ; 24 (18). 2183-2188
12. Thill C, Etches J, Bond I, et al. Morphing skins. Aeronaut J. 2008 ; 112: 117-139
13. Barbarino S, Bilgen O, Ajaj RM, et al. A review of morphing aircraft. J Intell Mater Syst Struct. 2011 ; 22: 823-877
14. Vasista S, Tong L, Wong K. Realization of morphing wings: a multidisciplinary challenge. J Aircraft. 2012 ; 49: 11-28
15. Weisshaar TA. Morphing aircraft systems: historical perspectives and future challenges. J Aircraft. 2013 ; 50 (2). 337-353
16. Ghiasi H, Fayazbakhsh K, Pasini D, et al. Optimum stacking sequence design of composite materials Part II: Variable stiffness design. Compos Struct. 2010 ; 93: 1-13
17. Gandhi F and Kang SG. Beams with controllable flexural stiffness. In: The 14th international symposium on smart structures and materials & nondestructive evaluation and health monitoring, 2007, Vol. 6525, pp.6525I-1-6525I-8. San Diego, CA: International Society for Optics and Photonics.
18. Murray G, Gandhi F. Multi-layered controllable stiffness beams for morphing: energy, actuation force, and material strain considerations. Smart Mater Struct. 2010 ; 19: 045002-045002
19. Wang Y, Rodriguez-Perez MA, Reis RL, et al. Thermal and thermomechanical behaviour of polycaprolactone and starch/polycaprolactone blends for biomedical applications. Macromol Mater Eng. 2005 ; 290: 792-801
20. Woodruff MA, Hutmacher DW. The return of a forgotten polymer - polycaprolactone in the 21st century. Progr Polym Sci. 2010 ; 35: 1217-1256
21. Shan W, Lu T, Majidi C. Soft-matter composites with electrically tunable elastic rigidity. Smart Mater Struct. 2013 ; 22: 085005-085005
22. Shaikh KA, Li S, Liu C. Development of a latchable microvalve employing a low-melting-temperature metal alloy. J Microelectromech Syst. 2008 ; 17: 1195-1203
23. Capadona JR, Shanmuganathan K, Tyler DJ, et al. Stimuli-responsive polymer nanocomposites inspired by the sea cucumber dermis. Science. 2008 ; 319: 1370-1374
24. Shanmuganathan K, Capadona JR, Rowan SJ, et al. Biomimetic mechanically adaptive nanocomposites. Progr Polym Sci. 2010 ; 35: 212-222
25. Brown E, Rodenberg N, Amend J, et al. Universal robotic gripper based on the jamming of granular material. Proc Natl Acad Sci. 2010 ; 107: 18809-18814
26. Majidi C, Wood RJ. Tunable elastic stiffness with microconfined magnetorheological domains at low magnetic field. Appl Phys Lett. 2010 ; 97: 164104-164104
27. Chen J, Liao W. Design, testing and control of a magnetorheological actuator for assistive knee braces. Smart Mater Struct. 2010 ; 19: 035029-035029
28. Varga Z, Filipcsei G, Zrínyi M. Magnetic field sensitive functional elastomers with tuneable elastic modulus. Polymer. 2006 ; 47: 227-233
29. Pratt GA and Williamson MM. Series elastic actuators. In: Proceedings 1995 IEEE/RSJ international conference on intelligent robots and systems 95 human robot interaction and cooperative robots. Vol. 1. New York: IEEE, 1995, pp.399-406.
30. Lakes R. Deformation mechanisms in negative Poisson's ratio materials: structural aspects. J Mater Sci. 1991 ; 26: 2287-2292
31. Averous L, Moro L, Dole P, et al. Properties of thermoplastic blends: starch-polycaprolactone. Polymer. 2000 ; 41: 4157-4167
32. Ma S, Hosseinmardi H, Farrow N, et al. Establishing multi-cast groups in computational robotic materials. In: 2012 IEEE international conference on green computing and communications (GreenCom), New York: IEEE, 2012, pp.311-316.
33. Hosseinmardi H, Correll N, Han R In: Wireless algorithms, systems, and applications. Berlin Heidelberg: Springer ; 2012: 595-606.
34. Gaur U, Lau S, Wunderlich B, et al. Heat capacity and other thermodynamic properties of linear macromolecules. VIII. Polyesters and polyamides. J Phys Chem Ref Data. 1983 ; 12: 66-89
35. Brydson JA Plastics materials. London: Butterworth-Heinemann ; 1999: 161-161.
36. Shan W, Lu T, Wang Z, et al. Thermal analysis and design of a multi-layered rigidity tunable composite. Int J Heat Mass Transf. 2013 ; 66: 271-278
37. Park YL, Majidi C, Kramer R, et al. Hyperelastic pressure sensing with a liquid-embedded elastomer. J Micromech Microeng. 2010 ; 20: 125029-125029
38. Correll N, Onal CD, Liang H, et al. Soft autonomous materials using active elasticity and embedded distributed computation. In: 12th international symposium on experimental robotics. New Delhi, India, 15 December 2010.
39. Henry C and McKnight G. Cellular variable stiffness materials for ultra-large reversible deformations in reconfigurable structures. In: Proc SPIE 6170, smart structures and materials 2006: active materials: behavior and mechanics, pp.617023, http://dx.doi.org/10.1117/12.659633 (2006, accessed 14 February 2014).