Shape memory alloys (SMAs) are gaining popularity in the fields of automotive and aerospace engineering due to their unique thermomechanical properties. This paper proposes a numerical implementation of a comprehensive constitutive model for simulating the thermomechanical behavior of shape memory alloys, with temperature and strain as control variables to adjust the shape memory effect and super elasticity effect of the material. By implementing this model as a user subroutine in the FE code Abaqus/Standard, it becomes possible to account for variations in material properties in complex components made of shape memory alloys. To demonstrate the potential of the proposed model, a skid plate system design is presented. The system uses bistable actuators with shape memory alloy springs to trigger plate movement. The kinematics and dynamics of the system are simulated, and effective loads are generated by the shape memory alloy state change due to the real temperature distribution in the material, which depends on the springs' geometrical parameters. Finally, the performance of the actuator in switching between different configurations and maintaining stability in a specific configuration is assessed. The study highlights the promising potential of shape memory alloys in engineering applications and demonstrates the ability to use them in complex systems with accurate simulations.
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http://dx.doi.org/10.3390/ma16134832 | DOI Listing |
Food Chem
January 2025
Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China; School of Food Science and Engineering, Ningxia University, Yinchuan 750021, China. Electronic address:
This study investigates the flavor perception of strong-aroma Baijiu through physiological electrical signals, focusing on electroencephalography (EEG) and electromyography (EMG) during olfactory and gustatory evaluations. It examines how sensory qualities, especially mellowness, influence brain and muscle responses. Results showed significant differences in EEG δ and β wavebands, mainly in the frontal and temporal lobes, reflecting varying brain activities across Baijiu types.
View Article and Find Full Text PDFSci Adv
January 2025
School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
Electronic skins endow robots with sensory functions but often lack the multifunctionality of natural skin, such as switchable adhesion. Current smart adhesives based on elastomers have limited adhesion tunability, which hinders their effective use for both carrying heavy loads and performing dexterous manipulations. Here, we report a versatile, one-size-fits-all robotic adhesive skin using shape memory polymers with tunable rubber-to-glass phase transitions.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
Antimicrobial Research Laboratory, New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru, Karnataka, 560064, India.
Uncontrollable haemorrhage and associated microbial contamination in the battlefield and civilian injuries pose a tremendous threat to healthcare professionals. Such traumatic wounds often necessitate an effective point-of-care solution to prevent the consequent morbidity owing to blood loss or haemorrhage. However, developing superior hemostatic materials with anti-infective properties remains a challenge.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Objectives: The extent to which lifestyle shapes trajectories of normal cognitive aging, and the factors with highest potential for mitigating cognitive decline, remain poorly uncharacterized.
Method: Participants of the Rancho Bernardo Study underwent demographic, health, and behavioral characterization at baseline, along with up to seven cognitive assessments over a 27-year follow-up period. Factor analysis of 24 baseline risk variables identified 9 composite factors.
Proc Natl Acad Sci U S A
January 2025
Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037.
Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neural circuits perform cognitive tasks. Training such networks to perform tasks that require information maintenance over a brief period (i.e.
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