Nanofabrication via self-assembly of hybrid materials into well-defined architectures is essential for the next generation miniaturized devices. This paper describes our group's achievements towards development multifunctional nanostructures systems based on block copolymer PS-b-P4VP and inorganic nanoparticles (NPs) 0D, 1D, 2D complex 3D periodic nanostructures. The morphologies these are adjusted to gain functions structural control at different dimensions.

We developed a strategy to generate gold nanoparticles within the P4VP domains of PS-b-P4VP diblock copolymer in solid state. An organic−inorganic lamellar structure was obtained through selective incorporation precursor pyridine groups block. Understanding how can affect linear viscoelastic behavior block-copolymer system, could assist defining specific processing window for this type hybrid materials. Herein we compared rheology BCPs with and without order correlate macroscopic response...

The turbulent‐flow field above dunes is predicted with equations describing the transport of kinetic energy turbulence (k) its rate dissipation (ε), and algebraic relations derived from a second‐moment closure (Algebraic Stress Model). resulting set expressions jointly identified boundary conditions are solved computer code based on finite‐difference solution that uses PISO algorithm to handle coupling between continuity momentum obtain mean velocity turbulent‐stress profiles in flow field,...

An analysis of the effects passive plane porous bed an open channel on steady, uniform, fully developed, two‐dimensional turbulent shear flow is presented. The effect pervious boundary free taken as a perturbation equivalent over impervious same surface texture. turbulence field regarded stationary and statistically homogeneous in planes parallel to bottom. Expressions for mean velocity, Reynolds stress, induced stress distributions are derived compared with available experimental data. new...

Abstract Periodic hybrid nanostructured materials based on aligned inorganic nanoparticles within self‐assembled copolymer matrixes aimed to harness the collective properties of generated functional nanomaterials. The are desirable for their useful magnetic, optical, catalytic, and electronic owed quantum confinement effect. For instance, gold, palladium platinum as nanoparticles, have shown significant change in physiochemical comparison bulk materials. If into well‐defined macroscopic...

The measurement of batch quality indicators in real time operation is plagued with many challenges, hence soft sensing has become a promising solution within industrial research. However, small data traditionally been severe problem, hindering the ability to create accurate, reliable sensors, especially research and development for new product formulations. Nevertheless, it often case that modelling knowledge available related system. In order exploit this, we have developed generalisable...

Deriving physical models for key performance indicators (KPIs) has been a challenge industries developing accurate control and optimization schemes. As result, data-driven have seen rise in application within recent literature; however, commonly used "black-box" suffer from lack of interpretability, limiting their uptake industrial settings. To address this challenge, we developed an interpretable soft sensor by integrating symbolic regression among dimensionality reduction, statistical...

We demonstrate optical coherence tomography (OCT) velocimetry with in-line processing of complex fluids for the first time. The OCT measurements were performed on a perspex section test rig containing ∼40 L fluids, analogous to real-world manufacturing conditions. Opaque solutions lamellar surfactant gel networks (LGNs) and powdered milk explored. Velocity profiles characteristic power law found in LGNs, good agreement independent flow rate off-line determination viscosity. velocity...

Viscosity represents a key product quality indicator but has been difficult to measure in-process in real-time. This is particularly true if the process involves complex mixing phenomena operated at dynamic conditions. To address this challenge, study, we developed an innovative soft sensor by integrating advanced artificial neural networks. The first employs deep learning autoencoder extract information-rich features compressing high-dimensional industrial data and then adopts...

We present a simple method to prepare hexagonally packed metallic nanocylinders based on gold nanoparticles embedded in copolymeric matrix. The are generated selectively within the P4VP-rich cylindrical domains of polystyrene-b-poly-4-vinylpyridine (PS-b-P4VP) diblock copolymer. In order achieve this selectivity, precursor (HAuCl4) is coupled pyridine blocks spherical PS327-b-P4VP27 block consequence, hybrid copolymer able self-assemble cylinders morphology. application mechanical...

Statistical machine learning algorithms have been widely used to analyse industrial data for batch process monitoring and control. In this study, we aimed take a two-step approach systematically reduce dimensionality design soft-sensors product quality prediction. The first employs partial least squares screen the entire dataset identify critical time regions operational variables, then adopts multiway construct within reduced space estimate final quality. Innovations of include ease...

New products must be formulated rapidly to succeed in the global product market; however, key indicators (KPIs) can complex, poorly understood functions of chemical composition and processing history. Consequently, scale-up currently undergo expensive trial-and-error campaigns. To accelerate process flow diagram (PFD) optimisation knowledge discovery, this work proposed a novel digital framework automatically quantify mechanisms by integrating symbolic regression (SR) within model-based...

A customized digital image correlation (DIC) system was implemented to monitor the strain produced in a cold-rolled AL-6XN stainless steel plate, 3.0 mm thick, subjected quasi-static and cyclic loading tests. comparison of DIC measurements made against those provided by conventional extensometers. Furthermore, used fatigue crack initiation low-cycle The true stress–strain behavior for material properly captured measurements. For tests (strain control), mapping generated allowed identifying...

In the personal care industry, viscosity is a critical quality attribute that influences product and process economics. Like many industrial liquids, liquids are complex non-Newtonian made up of aqueous surfactant systems whose depends on build-up micellar networks. Measuring offline easily done using benchtop rheometers viscometers. The challenge lies in measuring online during manufacturing. Being able to track such products through their manufacturing cycle will not only allow for better...

In many industries, viscosity is an important quality parameter which significantly affects consumer satisfaction and process efficiency. the personal care industry, this applies to products such as shampoo shower gels whose complex structures are built up of micellar liquids. Measuring offline well established using benchtop rheometers viscometers. The difficulty lies in measuring property directly via on or inline technologies. Therefore, aim work investigate whether proxy measurements...

The heterogeneity of the viscoelasticity a lamellar gel network based on cetyl-trimethylammonium chloride and cetostearyl alcohol was studied using particle-tracking microrheology. A recurrent neural (RNN) architecture used for estimating Hurst exponent, H, small sections tracks probe spheres moving with fractional Brownian motion. Thus, dynamic segmentation via networks in microrheology it is significantly more accurate than mean square displacements (MSDs). An ensemble 414 particles...

This paper investigates the relationship between informality and job quality in Ecuador, emphasizing role of education as a mediating factor. Utilizing data from National Survey Employment, Unemployment, Underemployment 2014 to 2019, study employs an Employment Quality Index assess quality. Through detailed empirical strategy incorporating pooled ordinary least squares regressions, panel analyses, spatial models, research unveils negative impact employment However, findings indicate that does...

Lamellar gel networks based on mixtures of cetostearyl alcohol and a cationic surfactant, cetyl-trimethylammonium chloride, were studied using combination rheometry optical coherence tomography (OCT) velocimetry. Experiments conducted in stress-controlled rheometer with parallel plate geometry. Each formulation was found to exhibit yield stress thixotropy. The shear start-up behavior response constant directly observed OCT Close the stress, velocity had power law time after an initial period...