Tactical Innovation to Incorporate Post-Consumer Expanded Polystyrene in Artisanal Chains for the Doping of Products

In its original manufacturing purpose, Expanded Polystyrene (EPS) is an industrial product with a short life cycle and waste with high negative environmental impact. Given this externality, this article contributes to the state of the art by proposing reuse EPS as a raw material valuable to the process of manufacturing hats in a Mexican company. The SCAMPER technique is used to formulate a hardener, which is optimized with a Taguchi design. Statistically, there is no difference between the quality of the conventional hardener and the mixture based on post-consumer EPS to make hats based on the standards defined by the company; a subjective analysis supported by the judgment of experts validates the quality of the hats. A contour graph and response surface reflect different combinations of solute and solvent to formulate the glue for the doping of the hat, with the same hardness results. This allows the artisan to assess the formulation from an economical point of view, as well as with respect to the arrangement of materials. These results specifically propose the sustainable alternative of integrating waste from the post–consumer EPS chain into the artisanal hat value chain, and are replicable to other similar products.

Diversity of interaction phenomenon, cross-kink wave, and the bright-dark solitons for the (3 + 1)-dimensional Kadomtsev–Petviashvili–Boussinesq-like equation

The (3 + 1)-dimensional Kadomtsev–Petviashvili–Boussinesq-like equation has certain advantages in solving engineering problems. In this paper, based on the generalized bilinear form, we successfully derived the diversity of exact solutions under certain constraints by using the symbolic computation Maple. These solutions have interaction wave solitons, cross-kink wave solitons, and bright-dark solitons. To ensure the accuracy of these solutions, we made a special selection of the parameters involved and made a three-dimensional graph, density graph, and contour graph to illustrate the dynamics of the solutions. The resulting solutions can be used for the study of certain phenomena in physics.

Automatic coverage measurement of shot peened panels

Shot peening is the process of treating metallic surfaces with a regulated blast of shots to increase material strength and durability. Determining the coverage level of the shots is an important parameter in the assessment of the quality of treatment. Traditionally, coverage measurement is performed manually using a magnifying glass, which leads to inefficiency. Despite the proposal for the use of image segmentation techniques for determining the coverage measurement, literature on this topic is not extensively developed. In this thesis, various relevant image segmentation techniques are investigated including thresholding, edge detection, watershed segmentation, active contour, graph cut and neural network. The aim is to develop a generic coverage measurement algorithm, which is accurate and robust to variations in illumination, shot type, coverage level and has real-time capabilities using a simple experimental setup. The results obtained from each method are discussed and compared against a set of relevant performance criteria.

Automatic coverage measurement of shot peened panels

Shot peening is the process of treating metallic surfaces with a regulated blast of shots to increase material strength and durability. Determining the coverage level of the shots is an important parameter in the assessment of the quality of treatment. Traditionally, coverage measurement is performed manually using a magnifying glass, which leads to inefficiency. Despite the proposal for the use of image segmentation techniques for determining the coverage measurement, literature on this topic is not extensively developed. In this thesis, various relevant image segmentation techniques are investigated including thresholding, edge detection, watershed segmentation, active contour, graph cut and neural network. The aim is to develop a generic coverage measurement algorithm, which is accurate and robust to variations in illumination, shot type, coverage level and has real-time capabilities using a simple experimental setup. The results obtained from each method are discussed and compared against a set of relevant performance criteria.

Adaptive Exploration-based Whale Optimization for Image Segmentation Based on Variable Parametric Error

Image segmentation is the process of splitting an image into numerous segments. Its major purpose is to change or simplify the image, which could be more significant and simpler to examine. However, it does not execute well while segmenting complex images with non-homogeneous parts. In this paper, a hybrid image segmentation model with the aid of Active Contour and Graph cut techniques is proposed. Moreover, it extracts the mutual information from two adopted segmentation schemes, and subsequently, the high-intensity and low-intensity pixels of resultant images are grouped by Fuzzy Entropy Maximization (FEM) method. A modified optimization algorithm termed as Adaptive Exploration based Whale Optimization (AEW) is used for solving the FEM problem. The performance of the proposed Active contour Graph cut Fuzzy Entropy-based Segmentation(AGFES), (AEW-AGFES) is algorithmically analyzed in terms of various performance measures to substantiate its effectiveness.

Surface texture processing for tribological performance improvement of UHMWPE-based water-lubricated bearings

Purpose Water-lubricated bearings can significantly reduce the pollution to environment because the traditional oil lubricant is replaced by water in the bearings. The ultrahigh molecular weight polyethylene (UHMWPE) has proven to be effective and reliable for the manufacturing of water-lubricated bearings. However, limited work has been done to address the improvement of the tribological performance of the UHMWPE-based water-lubricated bearings using surface texture processing. This paper aims to investigate the effects of bar-grooved surface on the tribological performance improvement of UHMWPE-based water-lubricated bearings. Design/methodology/approach For the first time, the bar grooves were processed on the surfaces of UHMWPE-based water-lubricated bearings. The CBZ-1 friction and wear tester have been used to test the wear and friction performance of the bearing samples. The LI laser interference surface contour graph and the digital microscope have been used to measure the surface morphology of the specimens. The tribological characteristics of the tested bearings were analyzed. Findings With bar grooves added on the surfaces of the specimens, the friction coefficient of the specimens were lower than that of the specimens without surface texture processing; the wear quantity of the two kinds of specimens were almost the same; by using the LI laser interference surface contour graph and the digital microscope to measure the surface morphology of the specimens, the furrows of the specimens with bar grooves were narrower and shallower than that of the specimens without bar grooves. Practical implications The paper implicates that the surface texture processing using bar grooves can reduce the friction coefficient and prolong the service life of the water-lubricated bearings in practical applications. Originality/value This paper fulfills an identified need to provide important theoretical and experimental support to the design of water-lubricated bearings in practical applications.

VISUALISASI POTENSIAL LISTRIK DI ANTARA DUA PLAT SEJAJAR BERHINGGA DENGAN PROGRAM KOMPUTER BERBASIS MATLAB

The calculation of electric potential between two parallel plates with finite size is difficult work, visualization of the issue comprehensively is needed. In this paper, visualization of electric potential between two parallel plates with finite size has been done by developing a MATLAB based computer program. The electric potential was calculated by solving two dimensional Laplace equation. There are two parts of the program that have been developed, the menu program and the main program. The menu program was provided to store the input data required in the calculation. While, the main program served toperform calculations and visualization of the electric potential. The visualization of the electric potential was shown in the mesh and contour graph. The results showed that the program is applicable for various sizes of plates, and the electric potential in each position can be calculated and visualized. However, the computer programs has some limitations, such as for perfoming calculations of electric potential. For plate width ( ) of m, distance of plates ( ) of m, and initial potential ( )of Volt, the electric potential in coordinate (20,0.5) is not defined (NaN).

Analysis of a planetary gear modeled with a contour graph taking into account the method of parametric play structures

Previous applications of the graph theory concerned the modeling of gears for dynamic analysis, kinematic analysis, synthesis, structural analysis, gearshift optimization and automatic design based on so-called graph grammars. Some tasks can be performed only by using methods resulting from a graph theory, e.g. enumeration of structural solutions. The contour plot method consists in distinguishing a series of consecutive rigid units of the mechanism, forming a closed loop (so-called contour). At a later stage, it is possible to analyze the obtained contour graph as a directed graph of dependence. The work presents an example of the use of game-tree structures for describing the contour graph of a planetary gear. As a result of the decomposition of the graph in the dependence on each of the vertices, game-tree structures are obtained, which allow calculate algorithmically.