Explore the vast range of titles available.

This study introduces a collaborative and open dataset designed to classify operational transconductance amplifiers (OTAs) in switched-capacitor applications. The dataset comprises a diverse collection of OTA designs sourced from the literature, facilitating benchmarking, analysis and innovation in analog and mixed-signal integrated circuit design. Various evaluation methodologies, implemented through a companion Python notebook script, are discussed to assess OTA performances across different operating conditions and specifications. Several Figures of Merit (FoMs) are utilized as performance metrics to achieve significant performance classification. This study also uncovers intriguing behaviors and correlations among FoMs, providing valuable insights into OTA design considerations. By making the dataset openly available on platforms like GitHub, this work encourages collaboration and knowledge sharing within the integrated circuit design community, thereby enhancing transparency, reproducibility and innovation in OTA design research.

Arc welding processes represent an important category of fusion welding techniques. They are characterised by the use of an electric arc to create heat to melt and join metals. Submerged arc welding belongs to this process category. Its peculiarities are mainly related to the employment of a continuously fed electrode and of a powdered flux to cover the arc providing electrical conduction between electrode and metals to be connected and, at the same time, generating protective gas and slag shields. Current (I), voltage (V), and welding speed (v) are the main process variables, properly set, to guarantee the specific heat (SH) required to achieve sound weld beads. In this research, finite element models were built looking at the macrographs extracted by experimental tests performed in two steps in order to obtain the real area of each pass and setting different welding conditions. Different combinations of I, V, and v were proposed providing, however, a fixed SH to the welding zone according to the required industrial standards. Specifically, tests were executed increasing the ratio V to v (for a constant I) and the ratio I to v (for a constant V) and with a different combination of V and I maintaining constant their product (for a constant v). The influence of the investigated variables’ combination on the weld pool in terms of depth and width was discussed. Finally, the validated numerical models were employed to highlight precisely residual stresses and displacements trend on cross-sectioned weld beads connecting the shown tendencies to the investigated process conditions.

All machining processes involve vibrations generated by structural sources such as a machine’s moving parts or by the interaction between cutting tools and work-pieces. Relative vibrations between the work-pieces and the cutting tool are the most relevant from the point of view of the regenerative chatter phenomenon. In fact, these vibrations can lead to a chip yregeneration effect, which results in unwanted consequences, rapidly degenerating towards a very poor quality of surface finishing or, in case of severe chatter conditions, to machine-tool or work-piece damage. In the past decades, two different approaches for chatter avoidance were proposed by the scientific community, and they are commonly referred to as Out-of-Process (OuP) and in-Process (iP) solutions. The OuP solutions are off-line approaches, which allow to properly set the working parameters before machining starts. Ip solutions are on-line techniques, which allow to dynamically change the working parameters during machining by using single or multiple sensors. By monitoring the machining process, iP algorithms try to keep the machining process in stable working conditions while keeping high productivity levels. This study dealt with a novel iP chatter-detection strategy based on the Power Spectral Density (PSD) analysis and on the Wavelet Packet Decomposition (WPD) of different sensor signals. The preliminary results demonstrate the stability and feasibility of proposed indicators for chatter detection in industrial application.

Gears remain a fundamental component in mechanical power transmission, with ongoing research focused on enhancing performance and sustainability. This study addresses the process of gear lightweighting, a key factor for efficiency improvements in automotive and aerospace sectors. Traditionally, material removal from gear bodies results in weight reduction, but at the cost of increased noise and vibration. A novel approach using hybrid gears, which combine a metal rim and hub with a composite material web, offers a promising solution. This research proposes a comparative environmental analysis among a conventional full steel, a lightweight and a hybrid gear using a life cycle energy quantification. The study considers two End-of-Life (EoL) scenarios: a conventional open loop scenario with partial recycling and a closed loop scenario with comprehensive recycling, including a thermal recycling for carbon fiber-reinforced plastics. The Cumulative Energy Demand (CED) has been conducted by applying a cradle-to-grave approach. The CED has been evaluated for each gear configuration quantifying the impact of each unit process involved in the production of the gear, from raw material extraction to product manufacturing and from use phase to different EoL scenarios. The cumulative results, performed preserving the same mechanical performance, indicate that the CED of the hybrid gear in the conventional open loop scenario is comparable to the one of the full gears, with an increase of 12.58%. In contrast, in the closed loop scenario, the hybrid gear exhibits substantial energy recovery benefits, with an overall CED difference of 7.50% compared to the lightweight gear and of 28.82% compared to the full gear. These results underline the potential of hybrid gears to improve efficiency, being able to achieve a 20% weight reduction with respect to the full gears, and to reduce environmental impact if effective recycling strategies were implemented.

Incremental sheet forming has been proposed as a flexible manufacturing technique to process thermoplastic resins characterized by a glassy state at room temperature. Specifically, poly(methyl methacrylate) (PMMA) sheets were formed. A controlled room was designed, and the sheets were heated, before starting the forming phase, to a temperature above the PMMA glass transition, but avoiding onset of internal stresses that may lead to significant material springback at elevated temperature. Therefore, the process parameters, such as forming temperature and punch speed rate, have to be kept in well-defined ranges to be able to optimize the forming process of thermoplastic components by ISF. Furthermore, different sheet thicknesses were formed. Indeed, this size affects the flexural strength of the processed polymer as confirmed by reported tests. Experiments were planned out for the aim to take into account various process variables, i.e. spindle speed, step depth, punch diameter and feed rate. A plan based on a design of experiments (DoE) method was applied for a robust analysis. Macroscale observations were carried out to evaluate the product soundness, highlighting influences of the monitored process variables, on the process temperature and on the accuracy error of the formed parts. Furthermore, microscopic analyses evidenced the integrity grade of the surface on the side in contact with the punch for various combinations of process parameters. The results proved the process feasibility also for thermoplastics, which need to be heated before their forming phase.

Improving the capabilities of online condition monitoring systems, able to detect arising of catastrophic wear on cutting tools, has been an important target to be pursued for the metal cutting industry. Currently, different systems have been proposed, moved by the rising need of part quality improvements and production cost control. Despite this, cutter wear development, being related to several process variables and conditions, is still really difficult to be predicted accurately. This paper presents a detection wear method based on the time-domain analysis of vibro-acoustic signals. Specifically, cutter wear monitoring, using sound signals of a milling process, was performed at a laboratory level in a well-isolated working room. Sound signals were recorded at fixed main machining parameters, i.e., cutting speed, feed rate and depth of cut. The tests were carried out starting with a new set of inserts with significant wear conditions for the investigated process configuration. Results showed a consistent overlapping between the beginning of the catastrophic wear and an evident increment in the trend of the root mean square of the monitored acoustic signal, showing the potential of the methodology in detecting a suitable time to stop the milling process and to change the worn-out cutters.

The determination of strawberry fruit quality through the traditional destructive lab techniques has some limitations related to the amplitude of the samples, the timing and the applicability along all phases of the supply chain. The aim of this study was to determine the main qualitative characteristics through traditional lab destructive techniques and Near Infrared Spectroscopy (NIR) in fruits of five strawberry genotypes. Principal Component Analysis (PCA) was applied to search for spectral differences among all the collected samples. A Partial Least Squares regression (PLS) technique was computed in order to predict the quality parameters of interest. The PLS model for the soluble solids content prediction was the best performing—in fact, it is a robust and reliable model and the validation values suggested possibilities for its use in quality applications. A suitable PLS model is also obtained for the firmness prediction—the validation values tend to worsen slightly but can still be accepted in screening applications. NIR spectroscopy represents an important alternative to destructive techniques, using the infrared region of the electromagnetic spectrum to investigate in a non-destructive way the chemical–physical properties of the samples, finding remarkable applications in the agro-food market.

A compact electronic circuit capable of performing Electrochemical Impedance Spectroscopy (EIS) on either single Lithium-ion cells or modules formed by the series of two cells is presented. The proposed device, named Double Cell Management Unit (DCMU), constitutes an important improvement to a recently proposed cell management unit, which combined EIS acquisition functions with a multichannel sensor interface compatible with thermistors, strain-gauges and moisture detectors. The proposed circuit maintains the versatility of the previous version and significantly extends the EIS frequency range, allowing vector impedance measurements from 0.1 Hz to about 15 kHz. The capability of handling both single Lithium-ion cells or series of two cells is obtained by adding a few external components to the previous version. This also allowed increasing the stimulation current to a maximum amplitude of 200 mA, resulting in improved resolution. Experiments consisting in EIS acquisition performed on batteries of different capacity at different temperatures and states of charge are described. Estimated impedance resolution (standard deviation) is 20 μΩ obtained at 1 kHz with a stimulation current of 100 mA amplitude.

Strawberry is the most cultivated berry fruit globally and it is really appreciated by consumers because of its characteristics, mainly bioactive compounds with antioxidant properties. During the breeding process, it is important to assess the quality characteristics of the fruits for a better selection of the material, but the conventional approaches involve long and destructive lab techniques. Near infrared spectroscopy (NIR) could be considered a valid alternative for speeding up the breeding process and is not destructive. In this study, a total of 216 strawberry fruits belonging to four different cultivars have been collected and analyzed with conventional lab analysis and NIR spectroscopy. In detail, soluble solid content, acidity, vitamin C, anthocyanin, and phenolic acid have been determined. Partial least squares discriminant analysis (PLS-DA) models have been developed to classify strawberry fruits belonging to the four genotypes according to their quality and nutritional properties. NIR spectroscopy could be considered a valid non-destructive phenotyping method for monitoring the nutritional parameters of the fruit and ensuring the fruit quality, speeding up the breeding program.

Cosmetic products contain numerous metals used as pigments, UV filters, preservatives, antiperspirants and antimicrobial agents, which are responsible for allergic skin reactions, with the most common being nickel. To reduce skin penetration of Ni, innovative pharmaceutical formulations such as lipogels with chelating action against the metal ions themselves can be used. Chelation therapy allows a chelating agent to combine with metal ions to form a stable ring structure called a chelate. The chelate structure is more soluble in water than the toxic metal, which facilitates removal of the toxic metal from the tissue and its excretion by the kidneys. The aim of the following work was to evaluate the chelating properties against nickel ions of different types of lipogels containing flavonoids such as resveratrol and epigallocatechin gallate with chelating activities largely dependent on the number and position of their hydroxyl groups. The results obtained showed that lipogels based on epigallocatechin gallate show high chelating action against nickel, especially at low concentrations. In addition, rheological studies showed an ideal profile to ensure viscoelasticity and swelling of the lipogel within 48 h, confirming reports of 75% epigallocatechin release from the lipogel after 48 h. Tests have shown that lipogels based on epigallocatechin gallate have high chelating action against nickel, especially at low concentrations.