scholarly journals Triad model: simulation - functional tensometry - information database in the assessment of the reliability of technological machines

2021 ◽  
Vol 263 ◽  
pp. 04063
Author(s):  
Nadezhda Sevryugina ◽  
Pavel Kapyrin
Keyword(s):  
Model Simulation ◽  
Experimental Studies ◽  
Diagnostic Model ◽  
Environmental Friendliness ◽  
Simulation Techniques ◽  
Parametric Data ◽  
Hierarchical Structuring ◽  
Reliability Control ◽  
Machine Systems ◽  
Diagnostic Indicator

The concept of a multidisciplinary approach to assessing the resource of individual components of the machine by combining database information based on simulation techniques and functional tensomethration is proposed. Simulations determine the reperative points of the tendometric sensors. The creation of a diagnostic model using basic concepts of information theory has allowed the development of a synergistic model for the recognition of the area of displacement of areas of uncertainty, which will ensure the identification of the defect (risk-denial). The formation of an electronic database of parametric data on the nature of loads as a diagnostic indicator of the change in the accuracy of pairing in machine systems is justified. Experimental studies were conducted on the model of the quick-capler. Hierarchical structuring of the machine to the level of mating parts with digital control of the criticality of the magnitude of external and internal loads ensures reliability control throughout the entire service life of the machine. When disposing of machines, this data allows you to obtain information about the residual resources of the elements for their reuse or the feasibility of restoration. This, in turn, will ensure the environmental friendliness and economy of the process.

scholarly journals Human-like external function of the foot, and fully upright gait, confirmed in the 3.66 million year old Laetoli hominin footprints by topographic statistics, experimental footprint-formation and computer simulation

2011 ◽  
Vol 9 (69) ◽  
pp. 707-719 ◽  
Author(s):  
Robin H. Crompton ◽  
Todd C. Pataky ◽  
Russell Savage ◽  
Kristiaan D'Août ◽  
Matthew R. Bennett ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Experimental Studies ◽  
Strong Support ◽  
Foot Pressure ◽  
Human Foot ◽  
Simulation Techniques ◽  
Force Transfer ◽  
Functional Features ◽  
Early Human ◽  
Computer Simulation Techniques

It is commonly held that the major functional features of the human foot (e.g. a functional longitudinal medial arch, lateral to medial force transfer and hallucal (big-toe) push-off) appear only in the last 2 Myr, but functional interpretations of footbones and footprints of early human ancestors (hominins) prior to 2 million years ago (Mya) remain contradictory. Pixel-wise topographical statistical analysis of Laetoli footprint morphology, compared with results from experimental studies of footprint formation; foot-pressure measurements in bipedalism of humans and non-human great apes; and computer simulation techniques, indicate that most of these functional features were already present, albeit less strongly expressed than in ourselves, in the maker of the Laetoli G-1 footprint trail, 3.66 Mya. This finding provides strong support to those previous studies which have interpreted the G-1 prints as generally modern in aspect.

scholarly journals Research on the Pressure Dropin Horizontal Pneumatic Conveying for Large Coal Particles

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 650
Author(s):  
Daolong Yang ◽  
Yanxiang Wang ◽  
Zhengwei Hu
Keyword(s):  
Pressure Drop ◽  
Flow Velocity ◽  
Model Simulation ◽  
Particle Model ◽  
Pneumatic Conveying ◽  
Coal Consumption ◽  
Environmental Friendliness ◽  
Coal Particles ◽  
Simulation Results ◽  
Conveying System

As a type of airtight conveying mode, pneumatic conveying has the advantages of environmental friendliness and conveying without dust overflow. The application of the pneumatic conveying system in the field of coal particle conveying can avoid direct contact between coal particles and the atmosphere, which helps to reduce the concentration of air dust and improve environmental quality in coal production and coal consumption enterprises. In order to predict pressure drop in the pipe during the horizontal pneumatic conveying of large coal particles, the Lagrangian coupling method and DPM (discrete particle model) simulation model was used in this paper. Based on the comparison of the experimental results, the feasibility of the simulation was verified and the pressure drop in the pipe was simulated. The simulation results show that when the flow velocity is small, the simulation results of the DPM model are quite different from that of the experiment. When the flow velocity is large, the large particle horizontal pneumatic conveying behavior predicted by the model is feasible, which can provide a simulation reference for the design of the coal pneumatic conveying system.

METHOD FOR DIAGNOSING INTERNAL COMBUSTION ENGINES UNDER TRACTION CONDITIONS

2011 ◽  
Vol 159 (1) ◽  
pp. 155-167
Author(s):  
Włodzimierz KUPICZ ◽  
Stanisław NIZIŃSKI
Keyword(s):  
Internal Combustion Engine ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Correct Diagnosis ◽  
Experimental Studies ◽  
Internal Combustion ◽  
New Method ◽  
Diagnostic Model ◽  
Engine Torque ◽  
Localization Algorithms

The paper presents a new method for diagnosing an internal combustion engine with compression ignition under traction conditions. The gist lies in determining the engine torque on the basis of acceleration recording in traffic conditions. The results of extensive preliminary and basic experimental studies have been discussed. Three options have been developed of the internal combustion engine diagnostic model, using the trivalent assessment of states. State control and engine damage localization algorithms have been proposed. The new method has been examined under traction conditions. The probability of the internal combustion engine correct diagnosis ranges between 0.85÷1.

scholarly journals Simulating Nonlinear Dynamics of a 3D Crystal Lattice of Metals

2021 ◽  
Vol 2131 (3) ◽  
pp. 032092
Author(s):  
A S Semenov ◽  
M N Semenova ◽  
Yu V Bebikhov ◽  
P V Zakharov ◽  
E A Korznikova
Keyword(s):  
Nonlinear Dynamics ◽  
Crystal Lattice ◽  
Mathematical Simulation ◽  
Piecewise Linear ◽  
Experimental Studies ◽  
Piecewise Linear Approximation ◽  
Calculation Error ◽  
Simulation Techniques ◽  
Welch Method ◽  
Computationally Intensive

Abstract Oscillations of crystal lattices determine important material properties such as thermal conductivity, heat capacity, thermal expansion, and many others; therefore, their study is an urgent and important problem. Along with experimental studies of the nonlinear dynamics of a crystal lattice, effective computer simulation techniques such as ab initio simulation and the molecular dynamics method are widely used. Mathematical simulation is less commonly used since the calculation error there can reach 10 %. Herewith, it is the least computationally intensive. This paper describes the process and results of mathematical simulation of the nonlinear dynamics of a 3D crystal lattice of metals using the Lennard-Jones potential in the MatLab software package, which is well-proven for solving technical computing problems. The following main results have been obtained: 3D distribution of atoms over the computational cell has been plotted, proving the possibility of displacement to up to five interatomic distances; the frequency response has been evaluated using the Welch method with a relative RMS error not exceeding 30 %; a graphical dependence between the model and the reference cohesive energy data for a metal HCP cell has been obtained with an error of slightly more than 3 %; an optimal model for piecewise-linear approximation has been calculated, and its 3D interpolation built. All studies performed show good applicability of mathematical simulation to the problems of studying dynamic processes in crystal physics.

scholarly journals State of Art and Research Demands for Simulation Modeling of Green Supply Chains

2012 ◽  
Vol 6 (3) ◽  
pp. 296-303 ◽  
Author(s):  
Markus Rabe ◽  
◽  
Maik Deininger
Keyword(s):  
Supply Chains ◽  
Environmental Performance ◽  
Simulation Modeling ◽  
Future Research ◽  
Environmental Friendliness ◽  
Sustainable Supply Chains ◽  
Simulation Techniques ◽  
Modeling Techniques ◽  
Research Demands ◽  
Green Supply Chains

In this paper, we review simulation and modeling techniques focusing on green and sustainable supply chains. We start by introducing green supply chains and the importance of being aware of environmental friendliness. We show how environmental performance is measured and analyzed, and then discuss the extension of green to sustainable supply chains. Taking into account the complex interrelations within supply chains, we give an overview of modeling and simulation techniques. This enables us to explain how supply chain behavior can be predicted and optimized under a set of given objectives. We conclude by suggesting the possibilities provided by modeling and simulating green and sustainable supply chains and propose future research.

Discrete Element Simulation of Powder Sintering for Spherical Particles

2020 ◽  
Vol 854 ◽  
pp. 164-171
Author(s):  
Ilia I. Beloglazov ◽  
Aleksei V. Boikov ◽  
Pavel A. Petrov
Keyword(s):  
Numerical Model ◽  
Model Simulation ◽  
Bulk Material ◽  
Experimental Studies ◽  
Spherical Shape ◽  
Discrete Element ◽  
Spherical Particles ◽  
Large Set ◽  
Discrete Elements ◽  
Powder Sintering

This paper presents a numerical simulation of powder sintering. The numerical model presented in this paper uses the discrete element method, which suggests that the material can be modeled by a large set of discrete elements (particles) of a spherical shape that interact with each other. A methodology has been developed to determine the DEM parameters of bulk materials based on machine vision and a neural network algorithm. The approach is suitable for obtaining the exact values of the DEM parameters of the investigated bulk material by comparing the visual images of the material’s behavior at the experimental stand in reality and in the model. Simulation of sintering requires an introduction of cohesive interaction between particles representing interparticle sintering forces. Numerical sintering studies were supplemented with experimental studies that provided data for calibration and model validation. The experimental results have shown a significant capability of the designed numerical model in modeling sintering processes. Evolution of microstructure and density during sintering have been studied under the laboratory conditions.

Approach for the Automated Analysis of Geometrical Clinch Joint Characteristics

2021 ◽  
Vol 883 ◽  
pp. 105-110
Author(s):  
Christoph Zirngibl ◽  
Benjamin Schleich
Keyword(s):  
Cost Efficiency ◽  
Expert Knowledge ◽  
Learning Algorithm ◽  
Experimental Studies ◽  
Automated Analysis ◽  
Environmental Friendliness ◽  
Mechanical Joining ◽  
Geometrical Characteristics ◽  
Analysis Process ◽  
Joint Characteristics

Due to their cost-efficiency and environmental friendliness, the demand of mechanical joining processes is constantly rising. However, the dimensioning and design of joints and suitable processes are mainly based on expert knowledge and few experimental data. Therefore, the performance of numerical and experimental studies enables the generation of optimized joining geometries. However, the manual evaluation of the results of such studies is often highly time-consuming. As a novel solution, image segmentation and machine learning algorithm provide methods to automate the analysis process. Motivated by this, the paper presents an approach for the automated analysis of geometrical characteristics using clinching as an example.

Applicable Contact Force Models for the Discrete Element Method: The Single Particle Perspective

2008 ◽  
Vol 131 (2) ◽  
Author(s):  
H. Kruggel-Emden ◽  
S. Wirtz ◽  
V. Scherer
Keyword(s):  
Discrete Element Method ◽  
Granular Materials ◽  
Experimental Studies ◽  
Spherical Shape ◽  
Discrete Element ◽  
Industrial Applications ◽  
Contact Forces ◽  
Experimental Investigations ◽  
Simulation Techniques ◽  
Element Method

Several processes in nature as well as many industrial applications involve static or dynamic granular materials. Granulates can adopt solid-, liquid-, or gaslike states and thereby reveal intriguing physical phenomena not observable in its versatility for any other form of matter. The frequent occurrence of phase transitions and the related characteristics thereby strongly affect their processing quality and economics. This situation demands for prediction methods for the behavior of granulates. In this context simulations provide a feasible alternative to experimental investigations. Several different simulation approaches are applicable to granular materials. The time-driven discrete element method turns out to be not only the most complex but also the most general simulation approach. Discrete element simulations have been used in a wide variety of scientific fields for more than 30 years. With the tremendous increase in available computer power, especially in the past years, the method is more and more developing to the state of the art simulation technique for granular materials not only in science but also in industrial applications. Several commercial software packages utilizing the time-driven discrete element method have emerged and are becoming more and more popular within the engineering community. Despite the long time of usage of the time-driven discrete element method, model advances derived and theoretical and experimental studies performed in the different branches of application lack harmonization. They thereby provide potential for improvements. Therefore, the scope of this paper is a review of methods and models for contact forces based on theoretical considerations and experimental data from literature. Particles considered are of spherical shape. Through model advances it is intended to contribute to a general enhancement of simulation techniques, which help improve products and the design of the related equipment.

scholarly journals A Frequency-Tracking and Impedance-Matching Combined System for Robust Wireless Power Transfer

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Yanting Luo ◽  
Yongmin Yang ◽  
Suiyu Chen ◽  
Xisen Wen
Keyword(s):  
Model Simulation ◽  
Impedance Matching ◽  
Experimental Studies ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Combined System ◽  
Embedded Devices ◽  
Load Impedance ◽  
Frequency Tracking

One of the greatest challenges to power embedded devices using magnetically coupled resonant wireless power transfer (WPT) system is that the amount of power delivered to the load is very sensitive to load impedance variations. Previous adaptive impedance-matching (IM) technologies have drawbacks because adding IM networks, relay coils, or other compensating components in the receiver-side will significantly increase the receiver size. In this paper, a novel frequency-tracking and impedance-matching combined system is proposed to improve the robustness of wireless power transfer for embedded devices. The characteristics of the improved WPT system are investigated theoretically based on the two-port network model. Simulation and experimental studies are carried out to validate the proposed system. The results suggest that the frequency-tracking and impedance-matching combined WPT system can quickly find the best matching points and maintain high power transmission efficiency and output power when the load impedance changes.

scholarly journals Using vacuum conductive drying to improve the environmental friendliness of materials

2020 ◽  
Vol 221 ◽  
pp. 02009
Author(s):  
Liliya Lyamina ◽  
Ruslan Safin ◽  
Shamil Mukhametzyanov ◽  
Olga Zybina
Keyword(s):  
Vacuum Chamber ◽  
Experimental Studies ◽  
Chemical Compounds ◽  
Temperature Treatment ◽  
High Temperature Treatment ◽  
Residual Pressure ◽  
Environmental Friendliness ◽  
Volatile Chemicals ◽  
Wall Panels ◽  
Drying Curves

To minimize the risk of rotting damage to wood materials, special antiseptic preparations with biocidal, fungicidal and insecticidal properties are widely used. Many of them contain highly volatile chemicals that are toxic to humans and harmful to the environment. The development of approaches to reduce the emission of harmful substances from wood materials is an important problem in improving the environmental friendliness of construction and finishing materials. The paper describes a method for increasing the biostability of chipboard based on polyvinyl alcohol binder by chemical-free high-temperature treatment (thermal modification). The paper presents the results of experimental studies of vacuum-conductive drying of wall panels made of thermally modified filler. Drying curves for wall panels were plotted depending on various parameters: temperature conditions, different chipboard thickness, and the residual pressure in the vacuum chamber. The work performed revealed that panels with a thermally modified filler dry much faster than those with untreated filler and without the release of chemical compounds harmful to humans and the environment.

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