Browsing by Subject "Smart materials"

Now showing 1 - 5 of 5

Open Access
Designing tunable composites with general interfaces
(Elsevier, 2019) Saeb, S.; Steinmann, P.; Javili, Ali
In this manuscript, we employ interface enhanced computational homogenization to explore and detail on a number of unfamiliar characteristics that composites can exhibit at different length scales. Here, the interface between the constituents is general in the sense that both displacement and traction jumps across the interface are admissible. We carry out numerous computational investigations using the finite element method for a broad range of various material parameters. Our numerical results reveal that the effective response of a microstructure embedding general interfaces is intuitively unpredictable and highly complex. In particular, for certain ranges of material parameters the overall response shows insensitivity with respect to either microstructure size or stiffness-ratio between inclusion and matrix. This unique behavior is observed likewise for two- and three-dimensional unit-cells. Our findings provide a valuable guideline to design tunable composites utilizing interfaces.
Open Access
Smart composites with tunable stress–strain curves
(Springer, 2020) Özcan, Mert; Çakmakçı, Melih; Temizer, İlker
Smart composites with tunable stress–strain curves are explored in a numerical setting. The macroscopic response of the composite is endowed with tunable characteristics through microscopic constituents which respond to external stimuli by varying their elastic response in a continuous and controllable manner. This dynamic constitutive behavior enables the composite to display characteristics that cannot be attained by any combination of traditional materials. Microscopic adaptation is driven through a repetitive controller which naturally suits the class of applications sought for such composites where loading is cyclic. Performance demonstrations are presented for the overall numerical framework over complex paths in macroscopic stress–strain space. Finally, representative two- and three-dimensional tunable microstructures are addressed by integrating the control approach within a computational environment that is based on the finite element method, thereby demonstrating the viability of designing and analyzing smart composites for realistic applications.
Open Access
Smart materials-integrated sensor technologies for COVID-19 diagnosis
(Qatar University and Springer Nature Switzerland, 2021-01-21) Erdem, Özgecan; Derin, Esma; Sağdıç, Kutay; Yılmaz, Eylül Gülsen; İnci, Fatih
After the first case has appeared in China, the COVID-19 pandemic continues to pose an omnipresent threat to global health, affecting more than 70 million patients and leading to around 1.6 million deaths. To implement rapid and effective clinical management, early diagnosis is the mainstay. Today, real-time reverse transcriptase (RT)-PCR test is the major diagnostic practice as a gold standard method for accurate diagnosis of this disease. On the other side, serological assays are easy to be implemented for the disease screening. Considering the limitations of today’s tests including lengthy assay time, cost, the need for skilled personnel, and specialized infrastructure, both strategies, however, have impediments to be applied to the resource-scarce settings. Therefore, there is an urgent need to democratize all these practices to be applicable across the globe, specifically to the locations comprising of very limited infrastructure. In this regard, sensor systems have been utilized in clinical diagnostics largely, holding great potential to have pivotal roles as an alternative or complementary options to these current tests, providing crucial fashions such as being suitable for point-of-care settings, cost-effective, and having short turnover time. In particular, the integration of smart materials into sensor technologies leverages their analytical performances, including sensitivity, linear dynamic range, and specificity. Herein, we comprehensively review major smart materials such as nanomaterials, photosensitive materials, electrically sensitive materials, their integration with sensor platforms, and applications as wearable tools within the scope of the COVID-19 diagnosis.
Open Access
Smart materials: Rational design in biosystems via artificial intelligence
(Cell Press, 2022-02-28) Sağdıç, Kutay; Eş, İ.; Sitti, M.; İnci, Fatih
Industry 4.0 encompasses a new industrial revolution in which advanced manufacturing systems are interconnected with information technologies. These sophisticated data-gathering technologies have led to a shift toward smarter manufacturing processes involving the use of smart materials (SMs). The properties of SMs make them highly attractive for numerous biomedical applications. The integration of artificial intelligence (AI) enables them to be effectively used in the design of novel biomedical platforms to overcome shortcomings in the current biotechnology industry. This review summarizes recent advances in AI-assisted SMs for different healthcare products. The current challenges and future perspectives of AI-supported smart biosystems are also discussed, particularly with the regard to their applications in drug design, biosensors, theranostics, and electronic skins.
Open Access
A snapshot of microfluidics in point-of-care diagnostics: multifaceted integrity with materials and sensors
(Wiley-VCH Verlag GmbH & Co. KGaA, 2021-05-09) Akçeoğlu, Garbis Atam; Saylan, Y.; İnci, Fatih
Over four decades, point-of-care (POC) technologies and their pivotal applications in the biomedical arena have increased irrepressibly and allowed to realize the potential of portable and accurate diagnostic strategies. Today, in the light of these advances, POC systems dominate the medical inventions and bring the diagnostics to the bedside settings, potentially minimizing the workload in the centralized laboratories, as well as remarkably reducing the associated-cost and time. In contrast to the conventional technologies, microfluidics paves the way to create more efficient and applicable POC diagnostic devices through their inherent fashions such as minute volume of samples, easy manipulations, shorter assay time, and low-cost production. In this review, the current status and advancements of microfluidic systems along with the current limitations in the aspect of POC diagnostic strategies are elaborated. Further, the integration of novel materials and innovative sensing platforms to the microfluidic systems are comprehensively evaluated to address the real-world challenges for diagnosing various maladies at the POC settings.