National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Methods of Machine Tool Thermal Error Compensation
Hanzal, Jiří ; Hermanský, Dominik (referee) ; Minář, Petr (advisor)
Thermal error caused by the thermal deformation is one of the most significant factors influencing the accuracy of the machine tool. This paper presents an overview of the methods of measurement, regulation and compensation of thermal errors. It also deals with the research of research centers and their projects. At the end of the thesis we are dealing with measuring of temperature deviations on machine tools MCV 754 Quick. For the tested machine tool, a methodical proposal of temperature compensation was designed using the grey neural network model with convolution Integral. This paper aims to give a basic introduction of the whole process of the spindle thermal error compensation.
Methods of Machine Tool Thermal Error Compensation
Hanzal, Jiří ; Hermanský, Dominik (referee) ; Minář, Petr (advisor)
Thermal error caused by the thermal deformation is one of the most significant factors influencing the accuracy of the machine tool. This paper presents an overview of the methods of measurement, regulation and compensation of thermal errors. It also deals with the research of research centers and their projects. At the end of the thesis we are dealing with measuring of temperature deviations on machine tools MCV 754 Quick. For the tested machine tool, a methodical proposal of temperature compensation was designed using the grey neural network model with convolution Integral. This paper aims to give a basic introduction of the whole process of the spindle thermal error compensation.
Methods of Machine Tool Thermal Error Compensation
Hanzal, Jiří ; Hermanský, Dominik (referee) ; Minář, Petr (advisor)
Thermal error caused by the thermal deformation is one of the most significant factors influencing the accuracy of the machine tool. This paper presents an overview of the methods of measurement, regulation and compensation of thermal errors. It also deals with the research of research centers and their projects. At the end of the thesis we are dealing with measuring of temperature deviations on machine tools MCV 754 Quick. For the tested machine tool, a methodical proposal of temperature compensation was designed using the grey neural network model with convolution Integral. This paper aims to give a basic introduction of the whole process of the spindle thermal error compensation.

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