Pub Date : 2019-01-01DOI: 10.18323/2073-5073-2019-4-73-79
R. Sundeev, A. Shalimova, A. Glezer, A. Veligzhanin
{"title":"DIFFERENCES IN THE LOCAL ATOMIC STRUCTURE OF THE AMORPHOUS Ti2NiCu ALLOYS PRODUCED BY MELT QUENCHING AND LARGE PLASTIC DEFORMATIONS","authors":"R. Sundeev, A. Shalimova, A. Glezer, A. Veligzhanin","doi":"10.18323/2073-5073-2019-4-73-79","DOIUrl":"https://doi.org/10.18323/2073-5073-2019-4-73-79","url":null,"abstract":"","PeriodicalId":23555,"journal":{"name":"Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73641205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.18323/2073-5073-2019-3-15-22
N. Moiseev, V. Novikov, A. Amosov
{"title":"THERMODYNAMIC ANALYSIS OF THE SOLUTION SELF-PROPAGATING HIGH-TEMPERATURE SYNTHESIS OF COPPER AND COPPER OXIDE NANOPARTICLES","authors":"N. Moiseev, V. Novikov, A. Amosov","doi":"10.18323/2073-5073-2019-3-15-22","DOIUrl":"https://doi.org/10.18323/2073-5073-2019-3-15-22","url":null,"abstract":"","PeriodicalId":23555,"journal":{"name":"Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81261201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.18323/2073-5073-2019-1-6-12
E. M. Volokobinsky
: The paper deals with the description of a new technique of calculations of the heat release processes at the high and ultra-high frequencies associated with the losses in composite materials (CM) what may cause the destruction of radio components. The study of thermal breakdown is necessary to determine the mechanism and nature of change of dielectric properties. Thermal breakdown influences destructively the composite material radio components or even causes their failure. The heating phenomena are rather complex and the calculation of its origination mechanism, as well as the stages of the origination and development of thermal effect and composite material aging, are scientifically and practi-cally attractive.
{"title":"THE DEVELOPMENT AND APPLICATION OF THE TECHNIQUE OF CALCULATION OF THERMAL BREAKDOWN VOLTAGE IN THE HIGH-FREQUENCY STRUCTURES","authors":"E. M. Volokobinsky","doi":"10.18323/2073-5073-2019-1-6-12","DOIUrl":"https://doi.org/10.18323/2073-5073-2019-1-6-12","url":null,"abstract":": The paper deals with the description of a new technique of calculations of the heat release processes at the high and ultra-high frequencies associated with the losses in composite materials (CM) what may cause the destruction of radio components. The study of thermal breakdown is necessary to determine the mechanism and nature of change of dielectric properties. Thermal breakdown influences destructively the composite material radio components or even causes their failure. The heating phenomena are rather complex and the calculation of its origination mechanism, as well as the stages of the origination and development of thermal effect and composite material aging, are scientifically and practi-cally attractive.","PeriodicalId":23555,"journal":{"name":"Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81342428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.18323/2073-5073-2019-3-61-68
A. Shaikin, A. D. Deryachev, M. V. Sazonov, S. S. Khlopotkin
{"title":"MAXIMUM COMBUSTION PRESSURE AND ITS RELATIONSHIP WITH THE CHARACTERISTICS OF COMBUSTION IN SPARK IGNITION ENGINES","authors":"A. Shaikin, A. D. Deryachev, M. V. Sazonov, S. S. Khlopotkin","doi":"10.18323/2073-5073-2019-3-61-68","DOIUrl":"https://doi.org/10.18323/2073-5073-2019-3-61-68","url":null,"abstract":"","PeriodicalId":23555,"journal":{"name":"Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta","volume":"133 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75775873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.18323/2073-5073-2019-4-6-12
A. Venediktov, N. Venediktov
{"title":"THE PLANT FOR TESTING COATINGS SAMPLES UNDER VARIABLE LOADS","authors":"A. Venediktov, N. Venediktov","doi":"10.18323/2073-5073-2019-4-6-12","DOIUrl":"https://doi.org/10.18323/2073-5073-2019-4-6-12","url":null,"abstract":"","PeriodicalId":23555,"journal":{"name":"Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76352982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.18323/2073-5073-2021-1-32-41
D. Rastorguev, A. Sevastyanov
Today, manufacturing technologies are developing within the Industry 4.0 concept, which is the information technologies introduction in manufacturing. One of the most promising digital technologies finding more and more application in manufacturing is a digital twin. A digital twin is an ensemble of mathematical models of technological process, which exchanges information with its physical prototype in real-time. The paper considers an example of the formation of several interconnected predictive modules, which are a part of the structure of the turning process digital twin and designed to predict the quality of processing, the chip formation nature, and the cutting force. The authors carried out a three-factor experiment on the hard turning of 105WCr6 steel hardened to 55 HRC. Used an example of the conducted experiment, the authors described the process of development of the digital twin diagnostic module based on artificial neural networks. When developing a mathematical model for predicting and diagnosing the cutting process, the authors revealed higher accuracy, adaptability, and versatility of artificial neural networks. The developed mathematical model of online diagnostics of the cutting process for determining the surface quality and chip type during processing uses the actual value of the cutting depth determined indirectly by the force load on the drive. In this case, the model uses only the signals of the sensors included in the diagnostic subsystem on the CNC machine. As an informative feature reflecting the force load on the machine’s main motion drive, the authors selected the value of the energy of the current signal of the spindle drive motor. The study identified that the development of a digital twin is possible due to the development of additional modules predicting the accuracy of dimensions, geometric profile, tool wear.
{"title":"Development of turning process digital twin based on machine learning","authors":"D. Rastorguev, A. Sevastyanov","doi":"10.18323/2073-5073-2021-1-32-41","DOIUrl":"https://doi.org/10.18323/2073-5073-2021-1-32-41","url":null,"abstract":"Today, manufacturing technologies are developing within the Industry 4.0 concept, which is the information technologies introduction in manufacturing. One of the most promising digital technologies finding more and more application in manufacturing is a digital twin. A digital twin is an ensemble of mathematical models of technological process, which exchanges information with its physical prototype in real-time. The paper considers an example of the formation of several interconnected predictive modules, which are a part of the structure of the turning process digital twin and designed to predict the quality of processing, the chip formation nature, and the cutting force. The authors carried out a three-factor experiment on the hard turning of 105WCr6 steel hardened to 55 HRC. Used an example of the conducted experiment, the authors described the process of development of the digital twin diagnostic module based on artificial neural networks. When developing a mathematical model for predicting and diagnosing the cutting process, the authors revealed higher accuracy, adaptability, and versatility of artificial neural networks. The developed mathematical model of online diagnostics of the cutting process for determining the surface quality and chip type during processing uses the actual value of the cutting depth determined indirectly by the force load on the drive. In this case, the model uses only the signals of the sensors included in the diagnostic subsystem on the CNC machine. As an informative feature reflecting the force load on the machine’s main motion drive, the authors selected the value of the energy of the current signal of the spindle drive motor. The study identified that the development of a digital twin is possible due to the development of additional modules predicting the accuracy of dimensions, geometric profile, tool wear.","PeriodicalId":23555,"journal":{"name":"Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta","volume":"170 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91503504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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