The ability to accurately predict the mechanical properties of metals is essential for their correct use in design structures and components. This even more important presence materials, such as metal cast alloys, whose can vary significantly relation constituent elements, microstructures, process parameters or treatments. study shows how a machine learning approach, based on pattern recognition analysis experimental data, able offer acceptable precision predictions with respect main metals,...

This paper discusses an approach developed for exploiting the local elementary movements of evolution to study complex networks in terms shared common embedding and, consequently, fractal properties. can be useful analysis lung cancer DNA sequences and their properties by using concepts graph theory geometry. The proposed method advances a renewed consideration network complexity both on global scales. Several researchers have illustrated advantages mathematics, as well its applicability...

This paper presents a mathematical explanation of one the Multi-Attribute Decision-Making (MADM) methods—the RAnking based on Distance And Range (RADAR) method—along with its modified variant, RADAR II. Through proofs, influence each step method final ranking alternatives is analyzed. The methods are tested three numerical examples varying criterion weights. robustness methods, as well their fundamental characteristics, demonstrated. A comparative analysis reveals that although both...

The most popular method for additively printing metal components is selective laser melting (SLM), which works well creating working models and prototypes. A fine powder, often (stainless) steel or aluminum, serves as the initial material. very accurate used to melt this layer by layer. important factor here short throughput time in comparison milling. Selective becomes increasingly valuable geometry more complex. Presented study porosity of 3D SLM materials using genetic programming network...

CGI) Machine Learning (RF) Random Forest Artificial Neural Network (NN) k-nearest neighbors (kNN)

There is a large body of research devoted to identifying the complexity structures in networks. In context network theory, complex graph with nontrivial topological features—features that do not occur simple networks, such as lattices or random graphs, but often graphs modeling real systems. The study networks young and active area scientific inspired largely by empirical real-world computer logistic transport Transport great importance for economic cultural cooperation any country other...

Since 1970, many studies of various laser machining processes and their applications have been published.This paper describes some our experience in surface remelting, consolidating, hardening steels.We focus on the problem robot metals with overlapping hardened zone.The process remelting layer allows us to very accurately determine depth modified layers.In this procedure, we know exact energy input into material.Heating above melting temperature then rapidly cooling causes microstructural...

Nowadays, laser hardening is a consolidated process in many industrial sectors. One of the most interesting aspects to be considered when treating surface-hardening steel materials by means devices undoubtedly evaluation heat treatment quality and surface finish. In present study, an innovative method based on fractal geometry was proposed evaluate surface-steel-laser-hardened treatment. A suitable genetic programming study SEM images (1280 × 950 pixels) developed order predict effect main...

A new method to determine a fractal network in chaotic systems is presented together with its application the microstructure recognition of robot-laser-hardened (RLH) steels under various angles laser beam. The based on geometry. An experimental investigation was conducted by investigating effect several process parameters final microstructures material that has been heat-treated. influences surface temperature, speed, and different orientation beam microstructural geometry treated surfaces...

The concept of “surface modeling” generally describes the process representing a physical or artificial surface by geometric model, namely mathematical expression. Among existing techniques applied for characterization surface, terrain modeling relates to representation natural Earth. Cartographic relief models as three-dimensional representations part Earth's convey an immediate and direct impression landscape are much easier understand than two-dimensional models. This paper addresses...

In this article, a new method for complexity determination by using fractals in combination with an artificial intelligent approach is proposed and its application laser hardening technology detailed.In particular, nanoindentation tests were applied as way to investigate the hardness properties of tool steel alloys respect both marginal relevant changes parameters.Specifically, process duration temperature considered, together nanoindentation, later related surface characteristics image...

This paper describes a new method for constructing visibility graph in 3D space. We use predicting porosity of hardened specimens. also an intelligent system to predict Visibility graphs have many applications, one which is the analysis trend lines market graphs. It possible 2D such and construction well known; however, this paper, we will present computations are central any computer graphics application. Drawing as nodes connected by links space visually compelling but computationally...

Alluvial (torrential) fans, especially those created from debris-flow activity, often endanger built environments and human life. It is well known that these kinds of territories where activities are favored characterized by increasing instability related hydrological risk; therefore, treating the problem its assessment management becoming strongly relevant. The aim this study was to analyze model geomorphological aspects physical processes alluvial fans in relation environmental...

A study on the strength of ceramic fiber bundles based experimental and computational procedures is presented. Tests were performed single filaments composed two fibers with different nominal counts. method rupture signals was developed to estimate amount filament during test. Through this method, bundle true determined its variation initial count observed. By using load-sharing models data as input parameter, simulations also verify behavior. approaches between experiments simulations, it...

Surface-hardening process of steel materials by robot laser technologies can involve the challenge modeling determining parameters through non-conventional tools in order to evaluate quality heat treatment. In current study a new method based on fractal geometry, used determine microstructural properties hardened steels manufactured anthropomorphic robots, is presented. The assumptions were that microstructure be studied as complex structural geometry and analyzed geometries made genetic...

The increase in wear resistance of cast irons after laser treatment is due not only to the corresponding structural and phase composition, but also improvement friction conditions graphite retained impact zone.Also, hardening increases steels some other alloys terms alkaline acidic environments.In this article we present a new method for hybrid system machine learning using statistical pattern recognition through network theory robot (RLH).We combined multiple regression, support vector...

In order to optimize the structure and properties of tool steel, it is necessary take into account effect self-organization a dissipative with fractal at load.Fractal material science researches relationship between parameters structures steel.This paper describes application dimension in robot laser-hardening specimens.By using dimensions, changes can be determined because present indicator complexities sample forms.We hardened steel different speeds temperatures.By researching dimensions...