Pub Date : 2023-11-29DOI: 10.17683/ijomam/issue14.28
Oleg Kivirenko, Stanislav Kostenko, Volodymyr Sorokin, Yevgen Tsegelnyk, Sergiy Plankovskyy, V. Kombarov, O. M. Beketov
– The fiberglass composite materials in many ways solve the problems of operation and maintenance of pipelines in various industries and municipal services. Continuous filament winding is a progressive production method with a high degree of automation. It is necessary to take into account the complex influence of the technological parameters of the used winding method when designing the product structure. The actual problem of creating specialized equipment with continuous axial movement of the wound product is considered. Continuous winding ensures a constant product structure along its entire length. A study of a model for the formation of the structure of a fiber-reinforced pipe during continuous oblique-layer longitudinal-transverse winding is presented. Several types of devices providing the ability to perform continuous filament winding automation have been studied. Mathematical equations for the control parameters of these devices depending on the technological parameters of the winding process are obtained. The possibility of forming a pipe wall thickening in given areas while maintaining the reinforcement structure is shown. Examples of created automated continuous pipe winding equipment are given. A two-level CNC system with coupled control is used to control the equipment. The proposed solutions ensure stable reproduction of the reinforcement structure in modern pipe production conditions.
{"title":"FIBERGLASS PIPELINE CONTINUOUS FILAMENT WINDING AUTOMATION","authors":"Oleg Kivirenko, Stanislav Kostenko, Volodymyr Sorokin, Yevgen Tsegelnyk, Sergiy Plankovskyy, V. Kombarov, O. M. Beketov","doi":"10.17683/ijomam/issue14.28","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.28","url":null,"abstract":"– The fiberglass composite materials in many ways solve the problems of operation and maintenance of pipelines in various industries and municipal services. Continuous filament winding is a progressive production method with a high degree of automation. It is necessary to take into account the complex influence of the technological parameters of the used winding method when designing the product structure. The actual problem of creating specialized equipment with continuous axial movement of the wound product is considered. Continuous winding ensures a constant product structure along its entire length. A study of a model for the formation of the structure of a fiber-reinforced pipe during continuous oblique-layer longitudinal-transverse winding is presented. Several types of devices providing the ability to perform continuous filament winding automation have been studied. Mathematical equations for the control parameters of these devices depending on the technological parameters of the winding process are obtained. The possibility of forming a pipe wall thickening in given areas while maintaining the reinforcement structure is shown. Examples of created automated continuous pipe winding equipment are given. A two-level CNC system with coupled control is used to control the equipment. The proposed solutions ensure stable reproduction of the reinforcement structure in modern pipe production conditions.","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212675","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.1
{"title":"HYSTERETIC DAMPING CHARACTERISTICS OF ULTRA-HIGH MOLECULAR WEIGHT POLYETHYLENE USED IN HIP ARTHROPLASTIES","authors":"","doi":"10.17683/ijomam/issue14.1","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.1","url":null,"abstract":"","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139213070","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.17
{"title":"APPLYING MECHATRONICS-BASED INTERNET OF THINGS IN ARTIFICIAL INTELLIGENCE IMAGE DETECTION","authors":"","doi":"10.17683/ijomam/issue14.17","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.17","url":null,"abstract":"","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"188 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139215206","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.15
{"title":"OPTIMIZING HARMONIC DETECTION: MECHATRONIC APPROACHES FOR ENHANCED ELECTRIC POWER INFORMATION ACQUISITION","authors":"","doi":"10.17683/ijomam/issue14.15","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.15","url":null,"abstract":"","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211294","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.26
{"title":"APPLICATION OF MECHATRONICS IN MULTIFUNCTIONAL REHABILITATION ROBOT","authors":"","doi":"10.17683/ijomam/issue14.26","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.26","url":null,"abstract":"","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139209217","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.2
{"title":"NEURAL PREDICTOR DESIGN FOR COVID-19 CASES IN DIFFERENT REGIONS","authors":"","doi":"10.17683/ijomam/issue14.2","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.2","url":null,"abstract":"","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"179 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210904","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.8
Wantao He, Hongjun Zhang, Xuejun Tian, Wanyin Liu
- The problem of coordinate system alignment must be solved first for the 3D measurement of complex surfaces like turbine blades. Coordinate system alignment is an important prerequisite for path planning and measurement data error analysis in the subsequent measurement process. Due to the complex geometric characteristics of turbine blades, the traditional 3-2-1 method cannot guarantee the accuracy, efficiency and stability of alignment. Therefore, based on the point laser non-contact three-coordinate measuring system, this paper proposes a practical two-step alignment method after the analysis of the advantages and disadvantages of the existing alignment technologies. The proposed method divides the alignment process of complex surface coordinate system into two parts: rough alignment and precise alignment. Rough alignment selects feature points according to local measurement results, and calculates the initial transformation matrix between coordinate systems. On the basis of rough configuration, the improved iterative nearest point algorithm is used to calculate the precise transformation matrix to achieve accurate alignment. The experimental results show that the two-step alignment method proposed in this paper effectively solves the efficiency and accuracy problems of alignment, and has a good robustness.
{"title":"HIGH EFFICIENCY COORDINATE SYSTEM ALIGNMENT METHOD FOR TURBINE BLADE MEASURING SYSTEM","authors":"Wantao He, Hongjun Zhang, Xuejun Tian, Wanyin Liu","doi":"10.17683/ijomam/issue14.8","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.8","url":null,"abstract":"- The problem of coordinate system alignment must be solved first for the 3D measurement of complex surfaces like turbine blades. Coordinate system alignment is an important prerequisite for path planning and measurement data error analysis in the subsequent measurement process. Due to the complex geometric characteristics of turbine blades, the traditional 3-2-1 method cannot guarantee the accuracy, efficiency and stability of alignment. Therefore, based on the point laser non-contact three-coordinate measuring system, this paper proposes a practical two-step alignment method after the analysis of the advantages and disadvantages of the existing alignment technologies. The proposed method divides the alignment process of complex surface coordinate system into two parts: rough alignment and precise alignment. Rough alignment selects feature points according to local measurement results, and calculates the initial transformation matrix between coordinate systems. On the basis of rough configuration, the improved iterative nearest point algorithm is used to calculate the precise transformation matrix to achieve accurate alignment. The experimental results show that the two-step alignment method proposed in this paper effectively solves the efficiency and accuracy problems of alignment, and has a good robustness.","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210918","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.23
{"title":"PARAMETER OPTIMIZATION OF ELECTROMECHANICAL SYSTEM NETWORK INFORMATION PROCESSING BASED ON SUPPORT VECTOR MACHINE","authors":"","doi":"10.17683/ijomam/issue14.23","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.23","url":null,"abstract":"","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212273","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 : 2023-11-29DOI: 10.17683/ijomam/issue14.19
Yaru Li
- The key technology for accelerating locomotives and enhancing their stability is vibration control for vehicles. This paper analyzes the characteristics of passive suspension, active suspension, and semi-active suspension, and comes to the conclusion that semi-active suspension should be the preferred control mode for high-speed train suspension system in China due to its advantages of low energy consumption, simple control, and good failure-oriented safety. The goal of this paper is to improve the ride comfort and running stability of rolling stock, as well as the performance of suspension system. Meanwhile, this paper applies fuzzy control theory to semi-active suspension control based on the characteristics of rolling stock suspension systems, designs a fuzzy control system in accordance with the fuzzy control principle, creates a semi-active suspension model to implement this control system, and implements the control simulation of semi-active suspension system in MATLAB environment. This paper also analyzes the condition monitoring data gathered by mechanical and electrical equipment while it is operating, with the goal of researching the detection of locomotive equipment health conditions. It then extracts characteristic parameters based on the condition monitoring data gathered by sensors at a specific time. The condition monitoring data and the health state of electromechanical equipment are mapped using the adaptive neuro-fuzzy inference system to monitor the health status of electromechanical equipment. According to the simulation results, the semi-active suspension fuzzy control may moderate the suspension's dynamic deformation fluctuation, lessen the wheels' dynamic load, and lower the acceleration of the car's body. The goal of this paper is to improve the performance of the semi-active suspension system by optimizing the membership function and fuzzy control rules of fuzzy controller.
{"title":"OPTIMIZATION SIMULATION OF LOCOMOTIVE SEMI-ACTIVE SUSPENSION CONTROL BASED ON FUZZY CONTROL AND DETECTION OF ELECTROMECHANICAL EQUIPMENT","authors":"Yaru Li","doi":"10.17683/ijomam/issue14.19","DOIUrl":"https://doi.org/10.17683/ijomam/issue14.19","url":null,"abstract":"- The key technology for accelerating locomotives and enhancing their stability is vibration control for vehicles. This paper analyzes the characteristics of passive suspension, active suspension, and semi-active suspension, and comes to the conclusion that semi-active suspension should be the preferred control mode for high-speed train suspension system in China due to its advantages of low energy consumption, simple control, and good failure-oriented safety. The goal of this paper is to improve the ride comfort and running stability of rolling stock, as well as the performance of suspension system. Meanwhile, this paper applies fuzzy control theory to semi-active suspension control based on the characteristics of rolling stock suspension systems, designs a fuzzy control system in accordance with the fuzzy control principle, creates a semi-active suspension model to implement this control system, and implements the control simulation of semi-active suspension system in MATLAB environment. This paper also analyzes the condition monitoring data gathered by mechanical and electrical equipment while it is operating, with the goal of researching the detection of locomotive equipment health conditions. It then extracts characteristic parameters based on the condition monitoring data gathered by sensors at a specific time. The condition monitoring data and the health state of electromechanical equipment are mapped using the adaptive neuro-fuzzy inference system to monitor the health status of electromechanical equipment. According to the simulation results, the semi-active suspension fuzzy control may moderate the suspension's dynamic deformation fluctuation, lessen the wheels' dynamic load, and lower the acceleration of the car's body. The goal of this paper is to improve the performance of the semi-active suspension system by optimizing the membership function and fuzzy control rules of fuzzy controller.","PeriodicalId":52126,"journal":{"name":"International Journal of Mechatronics and Applied Mechanics","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212485","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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