Carbon nanotube (CNT) array thermal interface materials (TIMs) are promising candidates for high-performance applications in terms of thermal performance. However, in order to be useful in commercial applications, the reliability of the interfaces is an equally important parameter, which so far has not been thoroughly investigated. In this study, the reliability of CNT array TIMs is investigated through accelerated aging. The roles of CNT array height and substrate configuration are studied for their relative impact on thermal resistance degradation. After aging, the CNT catalyst is analyzed using X-ray photoelectron spectroscopy to evaluate chemical changes. The CNT-catalyst bond appears to degrade during aging but not to the extent that the TIM performance is compromised. On the other hand, coefficient of thermal expansion mismatch between surfaces creates strain that needs to be absorbed, which requires CNT arrays with sufficient height. Transfer and bonding of both CNT roots and tips also create more reliable interfaces. Crucially, we find that the CNT array height of most previously reported CNT array TIMs is not enough to prevent significant reliability problems.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289226 | PMC |
http://dx.doi.org/10.1021/acsami.1c05685 | DOI Listing |
Sci Adv
January 2025
National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu 215123, China.
Flexible thermoelectric systems capable of converting human body heat or solar heat into sustainable electricity are crucial for the development of self-powered wearable electronics. However, challenges persist in maintaining a stable temperature gradient and enabling scalable fabrication for their commercialization. Herein, we present a facile approach involving the screen printing of large-scale carbon nanotube (CNT)-based thermoelectric arrays on conventional textile.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
School of Materials Science and Engineering, College of Engineering, Peking University, Beijing 100871, China.
MXene exhibits exceptional electrical and electrochemical properties, and is regarded as a promising candidate for future wearable electronic products. However, achieving a balance between flexibility and capacitance performance in MXene-based fiber supercapacitors remains a challenge. Here, MXene/Thermoplastic polyurethane (TPU) composite fibers with good conductivity and tensile properties, were prepared by wet spinning method.
View Article and Find Full Text PDFNanomicro Lett
November 2024
Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand.
Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids. Wound diagnosis remains challenging, necessitating suitable materials for high-performance wearable sensors to offer prompt feedback. Existing devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously, which is crucial for obtaining a comprehensive understanding of wound status and optimizing biosensors.
View Article and Find Full Text PDFJ Phys Chem Lett
November 2024
Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China.
Nanomotors are usually designed to work in liquid media and carry cargo; they exhibit excellent potential for biosensing and disease treatment applications due to their small size. Graphene and carbon nanotubes (CNTs) are crucial components of rotary nanomotors because of excellent mechanical properties and adaptability to the human body. Herein, we introduce a DNA-CNT-based nanomotor that achieves its rotational control through an array of nanopores with tunable surface charges.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!