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1
Content available Sewing Speed Control Software in Conditions of Operator-Machine Interaction
Rybicki M., Cichocka A.
Fibres & Textiles in Eastern Europe
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2012
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Vol. 20, no. 6A (95)
134--140
EN
The functionality of the programmable drive control system of a sewing machine with open cycle technology was tested, built according to the author's earlier work. It was found that the feeding mechanism of the sewing machine is sensitive to the textiles and to the machine's rotation speed. The application of the sewing speed programmable control system created conditions for proper reflection of parameters for the technological tasks proposed. Creating a programming algorithm and machine learning of the operator based on sewing speed control software is, as studies have shown, an important step in building a new generation of sewing machines.
PL
Badano funkcjonalność układu programowego sterowania serwonapędem maszyny szyjącej o otwartym cyklu technologicznym, zbudowanego we wcześniejszej pracy autora. Stwierdzono wrażliwość transportera maszyny na tekstylia oraz na prędkość obrotową maszyny. Zastosowanie programowego sterowania serwonapędem maszyny stworzyło warunki do poprawnego odwzorowania parametrów projektowanego zadania technologicznego. Zbudowany na bazie układu programowego sterowania serwonapędem maszyny algorytm programowania maszyny i uczenia operatora stanowi, jak wykazały przeprowadzone badania, istotny krok w budowie maszyn szyjących nowej generacji.
2
Content available remote Computer-assisted the optimisation of technological process
Krupińska B., Szewieczek D., Dobrzański L. A.
Archives of Materials Science and Engineering
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2009
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Vol. 36, nr 2
96-102
EN
Purpose: One has worked out an application that allows to analyze the efficiency of technological process in aspect of nonmaterial values and has used neural networks to verify particle indicators of quality of a process operation. Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Design/methodology/ approach: The created model made it possible to analyze the chosen technological processes for the sake of efficiency criteria, which describe the relationships: operation - material, operation - machine, operation - man, operation - technological parameters. Findings: In order to automate the process, to determine the efficiency of technological operation (KiX) and possibly to optimize it, one has applied one of artificial intelligence tools - neural networks. Practical implications: Application of neural networks allows to determine the value of technological efficiency of an operation. (KiX) without the necessity of detailed analysis as well of the whole process as of the particular operation. It makes it also possible to optimize operation efficiency by means of checking value of operation efficiency in the case of change in value of particular partial efficiency indicators. Originality/value: Method of computer application makes it possible to point out the studied indicators and asses finally the process efficiency in order to plan optimization of particular operation.
3
Content available remote Analysis of technological process on the basis of nonmaterials values
Krupińska B., Szewieczek D.
Journal of Achievements in Materials and Manufacturing Engineering
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2008
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Vol. 31, nr 2
786-793
EN
Purpose: What determines the correcttness of industrial company's functiioning on the market is technological process. In order to improve it continuously the priority should be technology, technology management and controlling. Design/methodology/approach: by means of this model one can analyzy the choosen technological processes for the sake of efficiency criteria. They describe following relationships: operation-material, operation-machine, operation-man, operation-technological parameters. Findings: This analisis shows hypothetical technological processes on production of typical pieces for machines. One has also taken into account nonmaterials parameters of technological process. They are resulting from applied sampels and projecting of the technological process. Practical implications: Thanks to the created aplication we can analyze efficiency of technological process in aspect of nonmaterial values. By the use of neural networks we can verify particle indicators of process operation quality, evaluate the process efficiency, which can constitute the optimization basis of particular operation. Originality/value: Data effecting from this analisis allowed to optimize the technological process. They estimate influence of the analyzed parameters on the whole process and optimizethe conducting of any process.
4
Content available remote The automation of analysis of technological process effectiveness
Krupińska B., Szewieczek D.
Journal of Achievements in Materials and Manufacturing Engineering
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2007
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Vol. 24, nr 2
199-202
EN
Purpose: Improvement of technological processes by the use of technological efficiency analysis can create basis of their optimization. Informatization and computerization of wider and wider scope of activity is one of the most important current development trends of an enterprise. Design/methodology/approach: Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Model of technological efficiency analysis is based on particular efficiency indicators that characterize operation, taking into account following criteria: operation - material, operation - machine, operation - human, operation - technological parameters. Findings: From the qualitative and correctness of choose of technology point of view comprehensive technological processes assessment makes up the basis of technological efficiency analysis. Results of technological efficiency analysis of technological process of prove that the chosen model of technological efficiency analysis makes it possible to improve the process continuously by the technological analysis, and application of computer assistance makes it possible to automate the process of efficiency analysis, and finally controlled improvement of technological processes. Practical implications: For the sake of complexity of technological efficiency analysis one has created an AEPT computer analysis from which result: operation efficiency indicators with distinguished indicators with minimal acceptable values, values of efficiency of the applied samples, value of technological process efficiency. Originality/value: The created computer analysis of the technological process efficiency (AEPT) makes it possible to automate the process of analysis and optimization.
5
Content available remote Computer assistance in the technological process efficiency analysis
Krupińska B., Szewieczek D.
Journal of Achievements in Materials and Manufacturing Engineering
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2007
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Vol. 20, nr 1-2
543-546
EN
Purpose: Technological process is a basic determinant of correctness of industrial company's functioning on the market. In this connection they should treat with the priority all activities connected with technology, technology management and controlling, that is with their continuous improvement. Design/methodology/approach: The created model made it possible to analyze the chosen technological processes for the sake of efficiency criteria, which describe the relationships: operation - material, operation - machine, operation - man, operation - technological parameters. Findings: in this thesis - conducted analysis includes hypothetical technological processes of producing typical machine pieces. Within their scope also the nonmaterial parameters of technological process have been taken into account, which resulted from arts of applied samples and projecting of the technological process. Practical implications: One has worked out an application that allows to analyze the efficiency of technological process in aspect of nonmaterial values and has used neural nets to verify particle indicators of quality of a process operation. Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Originality/value: As a result of this analysis gained data enabled to optimize the technological process by estimating influence of the analyzed parameters on the whole of process and optimization conducting of any process.
6
Content available remote Improvement of technological processes by the use of technological efficiency analysis
Krupińska B., Szewieczek D., Dobrzański L. A.
Archives of Materials Science and Engineering
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2007
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Vol. 28, nr 12
751-756
EN
Purpose: Technological process is a basic determinant of correctness of industrial company’s functioning on the market. In this connection they should treat with the priority all activities connected with technology, technology management and controlling, that is with their continuous improvement. Design/methodology/approach: The basis for preparing the process analysis model are the indicators of fragmentary and technological efficiency, as well as standardized parameters of the technological process depending on the applied treatment. Findings: Thanks to the appropriate indicators it is possible to identify operations which need to be verified. Although interdisciplinary process control is very complex, it offers objective assessment. The assessment should include the influence of individual parameters on the process and enable good choice of the optimisation type. Practical implications: The process analysis with the use of immaterial parameters based on different types of processing and the design of the technological process involved assessment of technological process efficiency with the use of indicators of operational efficiency. Originality/value: Creating computer applications for calculating individual indicators, as well as final efficiency assessment used for planning optimisation of individual operations.
7
Content available remote Analysis of technological process on the basis of efficiency criterion
Krupińska B., Szewieczek D.
Journal of Achievements in Materials and Manufacturing Engineering
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2006
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Vol. 17, nr 1-2
421--424
EN
Purpose: Technological process is a basic determinant of correctness of industrial company’s functioning on the market. In this connection they should treat with the priority all activities connected with technology, technology management and controlling, that is with their continuous improvement. Design/methodology/approach: The created model made it possible to analyze the chosen technological processes for the sake of efficiency criteria, which describe the relationships: operation – material, operation – machine, operation – man, operation – technological parameters. Findings The in this thesis conducted analysis includes hypothetical technological processes of producing typical machine pieces. Within their scope also the nonmaterial parameters of technological process have been taken into account, which resulted from arts of applied samples and projecting of the technological process. Practical implications: One has worked out an application that allows to analyze the efficiency of technological process in aspect of nonmaterial values and has used neuronal nets to verify particle indicators of quality of a process operation. Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Originality/value: As a result of this analysis gained data enabled to optimize the technological process by estimating influence of the analyzed parameters on the whole of process and optimization conducting of any process.
8
Content available remote Metoda analizy jakości procesów technologicznych przy zastosowaniu komputerowego wspomagania
Krupińska B., Dobrzański L. A., Szewieczek D., Krupiński M.
Archiwum Odlewnictwa
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2006
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R. 6, nr 21/1
185-194
PL
Ze względu na złożoność analizy efektywności technologicznej opracowano aplikację komputerową AEPT w wyniku, której otrzymywane są: wskaźniki efektywności operacji z wyróżnionymi wskaźnikami o minimalnych dopuszczalnych wartościach, wartości efektywności zastosowanych obróbek, wartość efektywnosci technologicznej procesu. W wyniku przeprowadzonej analizy efektywnosci z wykorzystaniem aplikacji komputerowej (AEPT) uzyskiwany jest raport końcowy z wartościami wskaźników ujętych w formach tabelarycznych i wykresów. Program wskazuje operacje o małej efektywności wraz z wyróżnieniem wartości wskaźników cząstkowych o niskich wartościach efektywności. Do automatyzacji procesu wyznaczania efektywności technologicznej operacji (KiX) oraz możliwości jej optymalizacji zastosowano jedno z narzędzi sztucznej inteligencji - sieci neuronowe [1,6-15]. Zastosowanie sieci neuronowych pozwala na wyznaczenie wartosci efektywności technologicznej operacji (KiX) oraz sprawdzenie wartości efektywności operacji w przypadku zmiany wartości poszczególnych wskaźników cząstkowych efektywności bez koniecznosci szczegółowej analizy całego procesu jak i danej operacji.
EN
One has worked out an application that allows to analyze the efficiency of technological process in aspect of nonmaterial values and has used neural nets to verify particle indicators of quality of a process operation. Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation.
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