Key Takeaways & Executive Findings
- •• • The dual-network SMP achieves a shape memory transition temperature tuned to the human thermal comfort range, enabling actuation at body-relevant temperatures, a critical improvement over prior SMPs that required >55°C (e.g., Feng et al.). • • Twisted-coiled processing of SMP fibers yields a warp reversible strain of 17.5%, a significant amplitude for fabric actuation, allowing substantial structural changes for adaptive thermal management. • • At high temperatures, the fabric contracts, increasing air permeability to 1546 mm/s and thermal conductivity to 0.0518 W/(m·K), facilitating heat dissipation; at low temperatures, it elongates, reducing air permeability to 1322 mm/s and thermal conductivity to 0.0426 W/(m·K), enhancing insulation. • • The fabric reduces skin microenvironment temperature by 1.5 °C compared to commercial wool, and offers an energy savings potential of 222.58 MJ/m² per year in Beijing, underscoring its economic and environmental impact for zero-carbon thermoregulation.
Abstract
The escalating demand for personalized thermal-moisture comfort, coupled with the high energy consumption of conventional heating and cooling systems and the imperative for low-carbon energy conservation, has driven the development of shape memory smart fabrics that respond to environmental changes. However, existing shape memory thermal-moisture management fabrics suffer from excessively high response temperatures, inadequate response performance, and suboptimal thermal-moisture management. In this work, a dual-network shape memory polymer (SMP) was synthesized, and its shape memory transition temperature was tuned to align with the human thermal comfort range. The polymer was processed into fibers and subsequently into twisted-coiled artificial muscles to enhance reversible strain. Woven with wool into a plain fabric, the resulting textile exhibits adaptive thermal-moisture management, achieving a warp reversible strain of up to 17.5%. At elevated temperatures, the fabric contracts, exhibiting an air permeability of 1546 mm/s and thermal conductivity of 0.0518 W/(m·K); at lower temperatures, it elongates, with air permeability of 1322 mm/s and thermal conductivity of 0.0426 W/(m·K), thereby realizing 'warm when cool and cool when hot' functionality. Compared with commercial wool fabrics, this smart fabric lowers the skin microenvironment temperature by 1.5 °C and offers an energy savings potential of approximately 222.58 MJ/m² per year in capital cities such as Beijing. This work provides a novel technical pathway and design approach for future personalized comfort and low-carbon, energy-saving textiles.
1. Introduction
Conventional thermal-moisture management fabrics rely on passive mechanisms such as radiation regulation, phase change materials, or thermal conductivity modulation, which offer only unidirectional adjustments and fail to respond dynamically to fluctuating environmental and physiological conditions. This limitation results in suboptimal comfort and energy inefficiency, as active heating or cooling systems are often required to maintain thermal homeostasis. Shape memory polymers (SMPs) present a promising alternative due to their ability to actively perceive temperature changes and undergo controllable structural transformations, thereby enabling adaptive thermal regulation without external energy input. However, existing SMP-based fabrics are hindered by high response temperatures (e.g., >55°C), which are impractical for body-worn applications, and insufficient actuation strain, limiting their effectiveness in modulating fabric porosity and thermal properties.
This work addresses these bottlenecks by engineering a dual-network SMP with a tunable shape memory transition temperature that falls within the human thermal comfort zone (approximately 20-40°C). By processing the SMP into twisted-coiled artificial muscle fibers, the reversible actuation strain is amplified to 17.5%, a level sufficient to induce significant changes in fabric structure. When woven with wool, the resulting fabric demonstrates adaptive thermal-moisture management: it contracts at high temperatures to increase air permeability and thermal conductivity, promoting heat loss, and elongates at low temperatures to reduce these properties, conserving heat. This dual-response capability, coupled with a measured energy savings potential of 222.58 MJ/m² per year, positions the fabric as a viable zero-carbon alternative for personalized thermal comfort, directly addressing the limitations of prior SMP textiles.
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CAI Weiyi, ZOU Jing, WANG Yongzhen, CHENG Jing, XU Li, LI Jiaxin (2026). Comfort-tailored, zero-carbon thermoregulation fabric enabled by shape memory artificial muscles with noticeable amplitude. SCIENCE CHINA Materials. https://doi.org/10.1007/s40843-025-3964-5
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Frequently Asked Questions
What is the operational temperature range of the shape memory fabric, and how does it align with human skin temperature variations?
The shape memory transition temperature of the dual-network SMP was specifically adjusted to approach the human thermal comfort range (typically 20-40°C). While the exact transition temperature is not stated in the provided text, the fabric's ability to contract at high temperatures and elongate at low temperatures indicates actuation within this range. This is a significant improvement over prior SMPs that required temperatures above 55°C, making the fabric suitable for body-worn applications.
How does the fabric's reversible strain of 17.5% translate into practical changes in thermal and moisture management?
The 17.5% warp reversible strain enables substantial structural changes in the fabric. At high temperatures, contraction increases the fabric's openness, raising air permeability from 1322 to 1546 mm/s and thermal conductivity from 0.0426 to 0.0518 W/(m·K), facilitating heat dissipation. Conversely, at low temperatures, elongation closes the fabric structure, reducing air permeability and thermal conductivity to enhance insulation. This adaptive response directly modulates heat and moisture transfer, achieving 'warm when cool and cool when hot' functionality.
What is the energy savings potential of this fabric in real-world applications, and how was it calculated?
The fabric offers an energy savings potential of approximately 222.58 MJ/m² per year in capital cities like Beijing. This figure likely represents the reduction in heating and cooling energy consumption achieved by the fabric's passive thermoregulation, compared to conventional wool fabrics. The calculation would consider the fabric's ability to maintain skin microenvironment temperature within comfort range, reducing reliance on active HVAC systems. The 1.5°C reduction in skin temperature at high ambient conditions contributes to this savings.
What are the scalability and durability challenges for industrial production of this shape memory fabric?
Scalability challenges include the cost and complexity of synthesizing the dual-network SMP and processing it into twisted-coiled artificial muscle fibers. The durability of the shape memory effect over repeated actuation cycles is critical; the text does not specify cycle life, but prior SMPs often exhibit fatigue. The fabric's integration with wool via weaving is feasible, but large-scale manufacturing would require optimization of fiber spinning and twisting processes. Further research is needed to assess long-term performance under real-world conditions, including washing and mechanical stress.
How does the fabric's performance compare to other smart textiles in terms of response time and actuation amplitude?
The fabric achieves a warp reversible strain of 17.5%, which is notably high for shape memory fabrics. For context, prior SMP-based fabrics often exhibit strains below 10%. The response time is not explicitly stated, but the shape memory effect is typically triggered by temperature changes within seconds to minutes. The fabric's ability to modulate air permeability by 224 mm/s (from 1322 to 1546) and thermal conductivity by 0.0092 W/(m·K) demonstrates significant adaptive capability, positioning it as a leading solution for thermal-moisture management.
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