scholarly journals MONITORING OF AUTOMATED TECHNOLOGICAL ENVIRONMENT FOR TOOL WORKING IN PLASMA-GENERATOR OF GLOW DISCHARGE BASED ON NEURONET APPROACH

2020 ◽  
Vol 2020 (12) ◽  
pp. 31-37
Author(s):  
Vladimir Logvin ◽  
Tatyana Karlova
Keyword(s):  
Glow Discharge ◽  
Plasma Generator ◽  
Current Strength ◽  
Engineering Process ◽  
Pumping Rate ◽  
Working Volume ◽  
Investigation Methods ◽  
Considerable Impact ◽  
Gas Environment ◽  
The Stability

The work purpose is to increase effectiveness and quality of engineering process control of tool working in a plasma-generator of a glow discharge based on a neuronet approach. Investigation methods: use of computer technologies based on an artificial neuronet system for the creation of control systems as an investigation method consisting in computer imitation of the process of plasma-generator operation at separate stages of processing. It will allow developing an optimum system for quality control and management of engineering processes performed for tool working in the plasma-generator of a glow discharge. The essence of the modeling method when using an artificial neuronet approach consists in the development of such algorithms and programs which imitate the behavior of the plasma-generator, its properties and characteristics in the composition essential for investigations, volume and field of technical parameter changes. Investigation results: the operation sequence of the engineering process for product working in the plasma-generator of a glow discharge ensures the formation of the specified structure and micro-hardness on the surface of products worked. A considerable impact upon working quality is made by the structure of technological gas environment and a rate of its pumping at constant pressure in a vacuum chamber for the formation of the essential flux of bombarding ions with the specified value of kinetic energy before a hit on a surface. During the development of working stage sequence there is taken into account a state and magnitude of the defected layer formed at the stages of previous working and ageing. The effectiveness of force impact is defined with the stability of current strength in the discharge and electrode voltage in the plasma-generator of a glow discharge. The fluctuations of current strength and voltage at discharge burning depends upon the stability of structure, pressure and a pumping rate of technological gas environment through a working volume of the plasma-generator.

scholarly journals AUTOMATED EFFECTIVENESS CONTROL SYSTEM OF TOOL HOUSE FOR TOOL STRENGTHENING IN GLOW DISCHARGE

2021 ◽  
Vol 2021 (1) ◽  
pp. 19-27
Author(s):  
Vladimir Logvin ◽  
Tatyana Karlova
Keyword(s):  
Glow Discharge ◽  
Plasma Generator ◽  
Automated System ◽  
Time Duration ◽  
Technological Environment ◽  
Tool Materials ◽  
Investigation Methods ◽  
Wide Range ◽  
Control And Management ◽  
Plasma Generators

The work purpose consists in the increase of effectiveness and quality in the engineering process control of the tool house ensuring strengthening a wide range of different tools and tool materials in plasma-generators of a glow discharge. Investigation methods. The application of computer systems is for the simulation of real production object operation with the purpose of quality and effectiveness increase in these objects control as a method of investigations consisting in operation computer imitation of a tool house equipped with plasma-generators of a glow discharge both at separate stages of processing and in the course of the whole industrial process. It will allow developing an optimum system of quality control of engineering processes for processing a wide range of tools with different profiles and tool materials in plasma-generators of a glow discharge. The essence of a modeling method consists in the development of such algorithms and programs which imitate the behavior of the tool house equipped with plasma-generators of a glow discharge its properties necessary for investigations, amount and field of technological parameter changes Investigation results. Plasma formed in consequence of explosive emission has in its structure the whole essential spectrum of ions for the formation of specified physical-mechanical properties on working surfaces of tools under strengthening. It contributes to the formation of the essential structure of bombarding ion flow with the wide range of frequencies and energy. The state and value of the layer strengthened located under an oxide film and formed at the stage of previous working operations at manufacturing tools and their working parts. This layer is characterized with the increased density of dislocations in depth and micro-crack presence not only within grains but between them. The uniformity of force impact depending upon current strength stability in a discharge and voltage upon electrodes in the plasma-generator is to be adjusted at constant pressure by the rate of technological environment pumping through a plasma-generator. Conclusions. The application of some quickly reset plasma-generators in tool production ensures work effectiveness increase of the tool house at the expense of optimization of tool machining in different engineering processes and with different time duration carrying out pre-production operations in the course of the plasma-generators operation and carrying out their charging from the automated area of waiting. The simulation algorithm developed at the formation of the automated system for control and management of effectiveness and quality in tool house work in different tool strengthening in plasma-generators of a glow discharge with stages different in character of plasma impact, duration and sequence of their realization allowed optimizing tool house equipment. The development of the automated system for control and management of effectiveness and quality of the working operation of plasma-generators of a glow discharge allowed optimizing the formation of the stage sequence with quick-acting processes during processing tools with different shape ensuring the formation of specified properties in neighboring layers which meets the requirements of automated technological environment.

AUTOMATED SYSTEM FOR QUALITY CONTROL OF TOOL PROCESSING IN GLOW DISCHARGE BASED ON NEURAL NETWORK MONITORING

2021 ◽  
Vol 2021 (3) ◽  
pp. 16-24
Author(s):  
Vladimir Logvin ◽  
Tatyana Karlova
Keyword(s):  
Neural Network ◽  
Glow Discharge ◽  
Continuous Monitoring ◽  
Network Monitoring ◽  
Plasma Generator ◽  
Automated System ◽  
Quality Of Control ◽  
Investigation Methods ◽  
Wide Range

Work purpose: improving effectiveness and quality in the control of engineering processes of tool working in the plasma generator of a glow discharge based on neural network monitoring. Investigation methods: use of nature and regularities of human thought at the development of the computer model of a neural network allowed realizing a cybernetic approach at real production object work modeling with the purpose of increasing effectiveness and quality of control at the management based on neural network monitoring. The essence of the modeling method consists in the development of such algorithms and programs which imitate the behavior of the plasma generator of a glow discharge, its characteristics in the structure, volume and field of technological parameter use essential for the research. Investigation results: the system offered for the control of effectiveness and quality of realizable engineering processes during plasma generator work based on neural network monitoring allows ensuring good repeatability of the results on tool strengthening. The defined sequence of engineering process operations of product working in the plasma generator of a glow discharge ensures the formation of specified structure and micro-hardness on the surface of products under processing. In the system offered control and management are formed on the basis of a neural network approach and imitate system behavior at all machining steps of processing. The results of continuous monitoring are shown with the essential discontinuity in on-line modes in the form of values and deviations of controlled technological parameters of the working process on the display of an electronic control unit. The generality and simultaneous uniqueness of the properties of continuous monitoring systems on applicability for real technological object control and range extension of problems solved with their help transforms them into compulsory means for complex automated device equipment. The modeling algorithm offered at the formation of an automated system to control effectiveness and quality in functioning plasma generator of a glow discharge for strengthening a wide range of tools with different profiles with machining steps differed in character of plasma impact, duration and their realization priority allowed optimizing the repeatability of results in ensuring specified properties in surface-bounded layers that satisfies conditions of the automated technological environment.

AUTOMATION OF CONTROL PROCESS TO ENSURE TOOL QUALITY DURING FINISHING WITH GLOW DISCHARGE PLASMA

2021 ◽  
Vol 2021 (8) ◽  
pp. 14-21
Author(s):  
Vladimir Logvin ◽  
Tatyana Karlova
Keyword(s):  
Neural Network ◽  
Quality Control ◽  
Control System ◽  
Glow Discharge ◽  
Discharge Plasma ◽  
Plasma Generator ◽  
Glow Discharge Plasma ◽  
Engineering Process ◽  
The Neural Network

Work purpose: the development of conditions for control automation ensuring tool essential qualities at the stage of finishing with glow discharge plasma. Investigation methods: based on the peculiarities of a human mental process the formation of an electronic model of a neural control system on the basis of engineering process monitoring in industry promoted cybernetic method carrying out for the increase of effectiveness and quality control during the management. The formation of an investigation process for computer technology use at the solution of the problem to ensure specified quality at the realization of engineering processes for metal working tool strengthening in the plasma generator of a glow discharge allowed creating an efficient system of control. The creation of conditions for the fulfillment of human cognitive potentialities with the high degree of similarity such as identification, accumulation and dissemination or transfer of information in the form of electromagnetic pulses similar to neural exchange allows optimizing a control system of quality of product strengthening in the plasma generator of a glow discharge. The formulation of a management solution in the form of the chain of commands in the neural network of the control system of the plasma generator of a glow discharge is formed in accordance with phenomena forming output responses and conditions ensuring their formation. Investigation results: for setting an optimum field of investigations and, accordingly, for increasing effectiveness of the automated control system of finishing quality under the glow discharge plasma impact during the whole engineering process the use of unique potentialities of continuous neural network monitoring is intended. The application of the neural network approach and its unique functions at the formation of the control system using the continuous monitoring of basic engineering process parameters of finishing ensuring specified quality of machining steps realized allows ensuring high repeatability at metal working tool strengthening. In the technological system developed all functions of control and management are based on the use of the neural network approach that allows visualizing its functioning on the monitor in the course of the whole engineering finishing process in the form of graphical dependence. Conclusions: 1. The use of unique potentialities of continuous neural network monitoring allows defining a optimum field of investigations at the lowest cost and accordingly increasing quality of the automated system of finishing quality control at the impact of glow discharge plasma. 2. Depending on material of a tool working part and conditions of tool operation in the surface layer there is formed an essential thermo-dynamic structure with the specified physical-mechanical properties that allows ensuring optimum repeatability. 3. The formation of conditions for the fulfillment with a high degree of similarity human cognitive potentialities such as identification, accumulation and dissemination or transfer of information in the form of electro-magnetic pulses similar to neural exchange allows optimizing a system of quality control of tools strengthened at the stage of glow discharge plasma finishing.

The impact of the workability of an automated technological system on the effective implementation of the production program when processing tools in glow discharge plasma generators

2021 ◽  
pp. 58-65
Author(s):  
V.A. Logvin ◽  
◽  
S.A. Sheptunov ◽  
Keyword(s):  
Glow Discharge ◽  
Discharge Plasma ◽  
Functional Dependence ◽  
Plasma Generator ◽  
Glow Discharge Plasma ◽  
Optimal Time ◽  
Time Interval ◽  
Production Program ◽  
The Impact ◽  
Plasma Generators

The conditions for the hardening of tools in accordance with the author’s technological routes in the optimal time interval are considered using the functional dependence of the serviceability of plasma generators. This dependence takes into account the workability of the technical devices involved in processing the laying batch of tools in the speci ed time interval. The probability of performing the production process in the estimated time is represented by the product of the trouble-free operation of each glow discharge plasma generator involved in the nishing processing of tools that require a different type of plasma exposure in a certain sequence and duration.

Intentional Reconstruction of Silicon Network on the Surface and within Sub-Surface by H and Ar

1997 ◽  
Vol 467 ◽  
Author(s):  
W. Futako ◽  
K. Fukutani ◽  
I. Shimizu
Keyword(s):  
Thin Films ◽  
Glow Discharge ◽  
Thin Layer ◽  
Defect Density ◽  
Hydrogen Atoms ◽  
Silicon Thin Films ◽  
Chemical Annealing ◽  
Rf Glow Discharge ◽  
Wide Gap ◽  
The Stability

ABSTRACTSilicon thin films were prepared by “Chemical Annealing” where the deposition of thin layer (<3 nm thick) by RF glow discharge of SiH4 and the treatment with hydrogen atoms (H) or triplet state of argon (3Ar) were repeated alternatating. Consequently, wide gap a-Si:H with the gap of 2.1 eV was made by H-treatmentat rather low substrate temperature (Ts<150 °C), while a-Si:H with the gap narrower than 1.6 eV was obtained by the treatment with 3Ar at high Ts (>300 °C), resulting from the release of excessive hydrogen. Both the wider or the narrower gap films exhibited low defect density lower than 1016 cm−3 and obvious improvements in the stability for light soaking.

scholarly journals IDENTIFICATION IN FORM OF STATES SPACE AND INITIAL CONDITIONS IMPACT UPON ITS RESULTS

2019 ◽  
Vol 2019 (4) ◽  
pp. 76-79
Author(s):  
Илья Швырков ◽  
Il'ya Shvyrikov ◽  
Алексей Юдин ◽  
Aleksey Yudin
Keyword(s):  
Initial Conditions ◽  
Second Order ◽  
Process Models ◽  
Engineering Process ◽  
Object Control ◽  
Investigation Methods ◽  
Space State ◽  
Process Computer ◽  
Object Of Control ◽  
Kyropoulos Method

The aim of the work consists in the reveal of the most stable method of identification, in the reveal of factors influencing the parameter definition result of the melt model during leucosapphire singlecrystal growth by Kyropoulos’ method. Investigation methods are based on an engineering process computer modeling under the assumption that the object of control is an aperiodic link of the second order. The comparison of identification results is carried out through different methods built-in Matlab system, their adequacy is defined by actual processes. As a result of investigations there is obtained a description of an aperiodic link of the second order in the form of states space, an interpretation of results obtained in the form of a time constant of object control is given. It is shown that the engineering process description obtained in the form of states space is adequate, the availability of non-zero initial conditions (non-zero speed of technological parameter changes) has no influence upon an identification process. There are ob-tained dynamic characteristics for a set of experimental data by Process Models and Space State methods. The application of Space State method is recommended.

scholarly journals Informality in the time of COVID-19 in Latin America: Implications and policy options

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261277
Author(s):  
Ivonne Acevedo ◽  
Francesca Castellani ◽  
Giulia Lotti ◽  
Miguel Székely
Keyword(s):  
Latin America ◽  
Labor Market ◽  
Income Tax ◽  
Safety Net ◽  
Policy Options ◽  
Formal Sector ◽  
Social Safety Net ◽  
Considerable Impact ◽  
Tax Payments ◽  
The Stability

This paper analyzes the dynamics of the labor market in Latin America during the COVID-19 pandemic. After a decade of a virtuous circle of growth with the creation of formal jobs, the pandemic has had an considerable impact on the region’s labor market, generating an unparalleled increase in the proportion of the inactive population, considerable reductions in informality, and, in contrast, smaller fluctuations in formal jobs. In this context, the formal sector, given its lower flexibility, became a "social safety net" that preserved the stability of employment and wages. Based on the findings presented in this paper, it is projected that, starting in 2021, informality will grow to levels higher than those of the pre-COVID-19 era–with 7.56 million additional informal jobs–as a result of the population returning to the labor market to compensate for the declines in incomes. According to the simulations presented, postponing or forgiving income tax payments and social security contributions conditional on the generation of formal jobs could reduce the growth of informality by 50 to 75 percent. Achieving educational improvements has the potential to reduce it by 50 percent.

Cyber-Physical Hybrid Processing System Digital Twin

2021 ◽  
Vol 1037 ◽  
pp. 119-124
Author(s):  
Dmitrii Shatagin ◽  
Andrei Galkin ◽  
Alexander N. Osmehin ◽  
Natalia Klochkova
Keyword(s):  
3D Printing ◽  
Processing System ◽  
Current Strength ◽  
Electric Arc ◽  
Diagnostic Parameter ◽  
Optimal Parameters ◽  
Digital Twin ◽  
Machine Learning Methods ◽  
The Stability ◽  
Printing Processes

The article proposes a method for obtaining a digital twin of the process of 3D printing by electric arc surfacing using an ensemble of machine learning methods. On the basis of the structural-parametric approach, a set of diagnostic parameters for the signals of current strength, voltage and acoustic emission was determined. Using exploratory analysis, the significance of each diagnostic parameter was assessed. A complex of statistical models has been developed to assess the stability of 3D printing processes using decision trees. Their optimal parameters and efficiency have been determined.

Hydrogenated Microcrystalline Silicon Solar Cells Made with Modified Very-High-Frequency Glow Discharge

2002 ◽  
Vol 715 ◽  
Author(s):  
Baojie Yan ◽  
Kenneth Lord ◽  
Jeffrey Yang ◽  
Subhendu Guha ◽  
Jozef Smeets ◽  
...  
Keyword(s):  
Solar Cells ◽  
Glow Discharge ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Microcrystalline Silicon ◽  
Very High Frequency ◽  
Area Efficiency ◽  
Double Junction ◽  
Stability Data ◽  
The Stability

AbstractHydrogenated microcrystalline silicon (μc-Si:H) solar cells are made using modified veryhigh-frequency (MVHF) glow discharge at deposition rates ∼3-5 Å/s. We find that the solar cells made under certain conditions show degradation in air without intentional light soaking. The short-circuit current drops significantly within a few days after deposition, and then stabilizes. We believe that post-deposition oxygen diffusion along the grain boundaries or cracks is the origin of the ambient degradation. By optimizing the deposition conditions, we have found a plasma regime in which the μc-Si:H solar cells do not show such ambient degradation. The best a-Si:H/μc-Si:H double-junction solar cell has an initial active-area efficiency of 10.9% and is stable against the ambient degradation. The stability data of the solar cells after light soaking are also presented.

Sign in / Sign up

Export Citation Format

Share Document