Comparison of Mechanical Property Simulations with Results of Limited Flexural Tests of Different Multi-Layer Carbon Fiber-Reinforced Polymer Composites.

This article is focused on the experimental study of flexural properties in different multi-layer carbon fiber-reinforced polymer (CFRP) composites and correlations with the results of finite element method (FEM) simulations of mechanical properties. The comparison of the results shows the possibility of reducing the number of experimental specimens for testing. The experimental study of flexural properties for four types of carbon fiber-reinforced polymer matrix composites with twill weaves (2 × 2) was carried out. As input materials, pre-impregnated carbon laminate GG 204 T and GG 630 T (prepreg) and two types of carbon fiber fabrics (GG 285 T and GG 300 T (fabric)) were used. Multi-layer samples were manufactured from two types of prepregs and two types of fabrics, which were hand-impregnated during sample preparation. The layers were stacked using same orientation. All specimens for flexural test were cut with the longer side in the weft direction. Pre-impregnated carbon laminates were further impregnated with resin DT 121H. Carbon fabrics were hand-impregnated with epoxy matrix LG 120 and hardener HG 700. To fulfill the aim of this research, finite element method (FEM)-based simulations of mechanical properties were performed. The FEM simulations and analysis were conducted in Hexagon's MSC Marc Mentat 2022.3 and Digimat 2022.4 software. This paper presents the results of actual experimental bending tests and the results of simulations of bending tests for different composite materials (mentioned previously). We created material models for simulations based on two methods-MF (Mean Field) and FE (Finite Element), and the comparative results show better agreement with the MF model. The composites (GG 285 T and GG 300 T) showed better flexural results than composites made from pre-impregnated carbon laminates (GG 204 T and GG 630 T). The difference in results for the hand-impregnated laminates was about 15% higher than for prepregs, but this is still within an acceptable tolerance as per the reported literature. The highest percentage difference of 14.25% between the simulation and the real experiment was found for the software tool Digimat FE 2022.4-GG 630 T composite. The lowest difference of 0.5% was found for the software tool Digimat MF 2022.4-GG 204 T composite. By comparing the results of the software tools with the results of the experimental measurements, it was found that the Digimat MF 2022.4 tool is closer to the results of the experimental measurements than the Digimat FE 2022.4 tool.

Comparison of weight-based and pinna size method for ProSeal laryngeal mask airway size selection in children receiving general anesthesia: A randomized clinical study.

Background and Aims: Several methods are in use for LMA ProSeal™ size selection in pediatric patients. Weight-based method is most commonly used. Pinna size-based method is a promising new technique for accurate size selection. Material and Methods: A total of 146 children aged between 6 months and 12 years undergoing surgery under general surgery were included. They were randomized into either pinna-based group (group X) or weight-based group (group Y). Both groups were compared for accurate placement of ProSeal™ laryngeal mask airway (PLMA), ease of insertion, number of attempts needed, and peak airway pressures. Results: A Comparable number of patients had a Brimacombe score of 3 and above, indicating correct placement in both groups (P = 0.407). PLMA was easily inserted in 79.5% and 87.7% of patients of groups X and Y, respectively (P = 0.180). Insertion was found to be difficult in 20.5% of patients in group X, whereas it was difficult in only 12.3% of patients of group Y (P = 0.180). The two groups were comparable as per the number of attempts needed for insertion (P = 0.161). Mean peak airway pressures too were comparable between both groups. Ease of insertion too, was statistically insignificant between both groups. Conclusions: Pinna size-based estimation of LMA size is an effective alternative method to weight-based selection.

The Chaperone-Active State of HdeB at pH 4 Arises from Its Conformational Rearrangement and Enhanced Stability Instead of Surface Hydrophobicity.

HdeA and HdeB are dimeric ATP-independent acid-stress chaperones, which protect the periplasmic proteins of enteric bacteria at pH 2.0 and 4.0, respectively, during their passage through the acidic environment of the mammalian stomach. Despite being structurally similar, they exhibit distinct functional pH optima and conformational prerequisite for their chaperone action. HdeA undergoes a dimer-to-monomer transition at pH 2.0, whereas HdeB remains dimeric at pH 4.0. The monomerization of HdeA exposes its hydrophobic motifs, which facilitates its interaction with the partially folded substrates. How HdeB functions despite maintaining its dimeric conformation has been poorly elucidated in the literature. Herein, we characterized the conformational states and stability of HdeB at its physiologically relevant pH and compared the data with those of HdeA. At pH 4.0, HdeB exhibited distinct spectroscopic signatures and higher stability against heat and guanidine-HCl-induced denaturation than at pH 7.5. We affirm that the pH 4.0 conformer of HdeB was distinct from that at pH 7.5 and that these two conformational states were hierarchically unrelated. Salt-bridge mutations that perturbed HdeB's intersubunit interactions resulted in the loss of its stability and function at pH 4.0. In contrast, mutations affecting intrasubunit interactions enhanced its function, albeit with a reduction in stability. These findings suggest that, unlike HdeA, HdeB acts as a noncanonical chaperone, where pH-dependent stability and conformational rearrangement at pH 4.0 play a core role in its chaperone function rather than its surface hydrophobicity. Such rearrangement establishes a stability-function trade-off that allows HdeB to function while maintaining its stable dimeric state.

Amino acids and glycine derivatives differently affect refolding of mesophilic and thermophilic like α-amylases: implications in protein refolding and aggregation.

α-amylases are industrially important enzymes which are used in different starch-based industries. They are adapted to different environmental conditions like extremes of temperature, pH and salinity. Herein, α-amylases from Bacillus amyloliquifaciens (BAA) and Bacillus licheniformis (BLA), representing mesophilic and thermophilic-like proteins, respectively, have been used to investigate the effect of naturally occurring osmolytes like arginine, proline, glycine and its methyl derivatives, sarcosine and betaine on their refolding. In this study, we have shown that among amino acids and glycine derivatives, betaine is the most promising osmolyte, while arginine and glycine exhibit moderately positive effect at their lower concentrations on the refolding of BAA only. Except betaine, all other osmolytes above 0.25 M showed inhibitory effect on the native enzyme activity of BLA and BAA. However, aggregation kinetics monitored by static light scattering indicates suppression of aggregation by all of these osmolytes. Further investigation by tryptophan and ANS fluorescence spectroscopy indicates the formation of compact hydrophobic core in the presence of the osmolytes. The morphology of protein aggregates having different sizes was visualized by atomic force microscopy ,and it was observed that amorphous aggregates of variable heights were formed. Our study highlights the importance of differential effects of arginine, proline, glycine, sarcosine and betaine on the native state as well as on refolding of BLA and BAA which may be helpful in devising strategies for developing effective protein formulation and prevention of aggregation of industrially and therapeutically important proteins.Communicated by Ramaswamy H. Sarma.

Impact of construction parameters on ergonomic and thermo-physiological comfort performance of knitted occupational compression stocking materials.

This work investigates the effect of varying the knitting structure and stitch length (SL) on various thermo-physiological and ergonomic comfort properties of the occupational graduated compression socks. Thermo-physiological comfort, ergonomic comfort and dimensional stability of theses stockings were analysed in a comparative manner. Obtained results were evaluated statistically using the technique of analysis of variance (ANOVA). A Fisher's multiple comparison test was commissioned to analyze the relationship between the alteration of stitch length (SL) on various utility functions and properties desired in the occupational compression socks. In order to examine whether the difference of stitch length is significant, p values were determined. Further the influence of knitting structures e.g., plain, 2 × 2 Rib and 1 × 3 Rib was analysed on the selected properties. The interactive effect of both stitch length (SL) and knitting structure was studied using statistical techniques. It was concluded that knitting structure has a stronger impact on thermo-physiological and ergonomic comfort properties. Results showed a significant variation in thermo-physiological and ergonomic comfort by altering stitch length by means of the statistical analysis. An innovative approach for the manufacturers has been developed for optimizing performance in compression stockings. The construction of the compression socks can thus be optimized in terms of constructional parameters to provide optimum comfort to the users.

Computational Analysis of Mechanical Properties in Polymeric Sandwich Composite Materials.

This article focuses on the computational analysis of sandwich composite materials based on polypropylene, polyester, glass, and cotton fibers. In the automotive components prepared from these fiber materials, the various components are used in different proportions. Through the manufacturing process, isotropic materials become somewhat anisotropic. Part of this article is aimed at obtaining input values of material characteristics for calculations using finite element analysis (FEM) and the comparison of experimental results with FEM-based material models created using the Digimat 2023.1 software. This article analyzes the modeling of two-phase as well as multiphase composite materials. This work focuses on calculations using FEM according to the test defined in the PR375 standard for loading the finished product in the luggage compartment of a car. The defined methodology enables the application of the FEM-based calculation directly to the product design in the initial phase of research. The construction and production of expensive prototypes and the subsequent production of automotive parts is replaced by computer-based simulation. This procedure makes it possible to simulate several optimization cycles over a relatively shorter time. From the results of computational simulations, it is clear that materials based on PP/PET/glass fibers show a much higher modulus of elasticity than materials created using cotton, i.e., materials of the PP/PET/cotton type. In order to achieve a high strength and stiffness, it is, therefore, appropriate to use glass fibers in the composite materials used for such applications.

Elastomer-Based Sealing O-Rings and Their Compatibility with Methanol, Ethanol, and Hydrotreated Vegetable Oil for Fueling Internal Combustion Engines.

Green methanol, ethanol, and diesel-based hydrotreated vegetable oils are some of the renewable liquid fuels that show satisfactory performance in diesel engines. A notable advantage of these fuels is that they are renewable and do not require significant modifications in the existing engines for successful operation. Suitable fuel systems, especially their material compatibility, remain unresolved, and therefore, it is a weak link in their large-scale adaptation. Elastomer-based sealing O-rings lose their mechanical properties after a short exposure time to these fuels, adversely impacting their functionality. This research study evaluated the long-term material compatibility of different elastomer-based sealing materials by immersing the O-rings in these test fuels (hydrotreated vegetable oil, methanol, ethanol, and diesel) for different time intervals (i.e., up to 15 months). The material compatibility was assessed mainly by investigating these changes in various mechanical properties of these O-rings, namely tensile strength (ΔTs), elongation at break (ΔEb), Shore A hardness (ΔH), and mass (ΔM). The degradation of mechanical properties was studied and analyzed during the immersion interval from 0.9 to 15.2 months and compared with O-rings kept in a normal atmosphere. It was noted that individual fuels affect various mechanical properties significantly. In a short interval of 0.9 months (28 days), significant changes in the mechanical properties of the sealing O-rings were observed.

Facile-Solution-Processed Silicon Nanofibers Formed on Recycled Cotton Nonwovens as Multifunctional Porous Sustainable Materials.

Limited efficiency, lower durability, moisture absorbance, and pest/fungal/bacterial interaction/growth are the major issues relating to porous nonwovens used for acoustic and thermal insulation in buildings. This research investigated porous nonwoven textiles composed of recycled cotton waste (CW) fibers, with a specific emphasis on the above-mentioned problems using the treatment of silicon coating and formation of nanofibers via facile-solution processing. The findings revealed that the use of an economic and eco-friendly superhydrophobic (contact angle higher than 150°) modification of porous nonwovens with silicon nanofibers significantly enhanced their intrinsic characteristics. Notable improvements in their compactness/density and a substantial change in micro porosity were observed after a nanofiber network was formed on the nonwoven material. This optimized sample exhibited a superior performance in terms of stiffness, surpassing the untreated samples by 25-60%. Additionally, an significant enhancement in tear strength was observed, surpassing the untreated samples with an impressive margin of 70-90%. Moreover, the nanofibrous network of silicon fibers on cotton waste (CW) showed significant augmentation in heat resistance ranging from 7% to 24% and remarkable sound absorption capabilities. In terms of sound absorption, the samples exhibited a performance comparable to the commercial standard material and outperformed the untreated samples by 20% to 35%. Enhancing the micro-roughness of fabric via silicon nanofibers induced an efficient resistance to water absorption and led to the development of inherent self-cleaning characteristics. The antibacterial capabilities observed in the optimized sample were due to its superhydrophobic nature. These characteristics suggest that the proposed nano fiber-treated nonwoven fabric is ideal for multifunctional applications, having features like enhanced moisture resistance, pest resistance, thermal insulation, and sound absorption which are essential for wall covers in housing.