Wyniki wyszukiwania - Biblioteka Nauki

1

CNC milling machine feed drive laboratory stand for purposes of velocity control algorithms prototyping

100%

Waszczuk P.

Zeszyty Naukowe / Akademia Morska w Szczecinie

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2014

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tom nr 39 (111)

161--168

EN

Article describes extended concept of digital servodrive velocity control algorithms rapid prototyping, which is crucial component of milling machine feed drive equipped with ball screw. Approach presented here describes the case where the user has no access to the internal control structure the servodrive (design widespread in commercially applied CNC solutions), and can only use an additional signal (additive value of torque/current), calculated on the basis of a comparison of the real object and its nominal dynamic model.

2

Data preprocessing and its influence on the adsorption capacity of calculated shale. Comparison of selected methods: A case study

100%

Waszczuk P.

Mineralogia

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2017

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tom Vol. 48, iss. 1/4

157--165

EN

This article discusses the impact of choosing a data preprocessing method for the calculated gas density necessary to determine the sorption capacity of a material. The sample of gas-bearing shale was subjected to a volumetric sorption test. The obtained data, pressure and temperature were preprocessed by three methods: moving average, polynomial regression and locally weighted scatterplot smoothing. The results include the excess and absolute sorption calculated from data that were filtered, and data without pre-treatment and Langmuir isotherms’ coefficients for every case.

3

Experimental sensor system implementation for selected micromilling-related parameters

63%

Matuszak M. , Waszczuk P.

Zeszyty Naukowe / Akademia Morska w Szczecinie

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2012

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tom nr 31 (103)

134-139

EN

The paper describes micromilling machine and implemented sensor system for microcutting operations. Sensor system can be used for cutting forces, accelerations, acoustic pressure and tool displacements measurement. Cutting forces and accelerations signals were used for cutting depth, hardness of workpiece and excitation frequency of rotating tool monitoring. Other signals obtained during experiment will be used in further work. Conclusions arising from performed experiment and further research plans are presented.

4

Method of friction modeling and identification in PMSM

51%

Kubicki M. , Pietrusewicz K. , Waszczuk P.

Measurement Automation Monitoring

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2016

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tom Vol. 62, No. 9

308--311

EN

Friction forces present in the PMSM motor exert a very negative influence on its working parameters. Those effects are extremely nonlinear and their consequences have to be acknowledged at designing both the motor’s mechanical construction and its control system. This paper describes a friction coefficients identification method in the PMSM based on the mathematical model. The results of simulation research have been backed up by the real-world object testing. In the first section of this paper a brief summary of the most important aspects of PMSM motors was included while the second one focuses on the theoretical description of friction model that was used during research. Third part of this paper is focused on the detailed description of the PMSM motor model and its simplifying assumptions. The fourth section contains a description and results of concluded research in the Matlab/Simulink environment. Finally, the article concludes with comparison of theoretical results and experimental results obtained from real-world motor.

5

Force-measurement based tool-workpiece contact detection in micromilling

51%

Broel-Plater B. , Matuszak M. , Waszczuk P.

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2013

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tom R. 17, nr 1

42-46

EN

Due to a very small tool dimensions in micromilling process finding contact of tool and workpiece is difficult. Observation of tool and its position in a relation to workpiece is only possible with a microscope. Cutting forces signals exploitation is proposed for tool-workpiece contact detection. Cutting forces were not used before for detecting contact of tool and workpiece. This paper presents results of cutting forces measurement occurring during toll-workpiece contact. Method of cutting forces signal processing that gives possibility of automatic tool-workpiece contact detection is shown. Current analysis was made off-line and obtained results will be used for further on-line tool-workpiece contact detection. Conclusions and further research plans arising from performed experiments are presented.

PL

Z uwagi na małe wymiary narzędzia wykorzystywanego podczas procesu mikroobróbki znajdowanie kontaktu frezu z materiałem obrabianym jest relatywnie trudnym zadaniem. Obserwacja narzędzia i jego pozycji w stosunku do obrabianego przedmiotu jest możliwa jedynie z wykorzystaniem mikroskopu. W artykule zaproponowano wykorzystanie, nigdy wcześniej nie stosowanych dla tych celów, sił skrawania do określenia kontaktu narzędzia z przedmiotem. Dodatkowo opisano wyniki pomiarów oraz zaimplementowane sposoby przetwarzania sygnału, dające możliwość automatycznego wykrycia kontaktu. Przeprowadzone analizy zostały wykonane off-line, ich wyniki posłużą do przyszłej implementacji algorytmu w trybie on-line. W artykule zaprezentowano również wnioski płynące z badań oraz plany przyszłych eksperymentów.

6

System diagnostyki procesu mikroskrawania

51%

Broel-Plater B. , Waszczuk P. , Kobyłkiewicz A.

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tom R. 13, nr 6

90-94

PL

Istotnym elementem procesu mikroobróbki ubytkowej metalu jest system nadzorujący i kontrolujący w czasie rzeczywistym jego przebieg. W artykule przedstawiono taki system, opracowany w ramach jednego z projektów badawczych, realizowanych na ZUT w Szczecinie. Opisano metody analityczne szeroko stosowane w diagnostyce, w tym szybką transformatę Fouriera (FFT) czy dyskretną transformatę falkową. Przedstawiono unikatową konstrukcję obrabiarki, jej części składowe oraz przedstawiono schemat działania systemu diagnostycznego. Zaprezentowano pierwsze wyniki prowadzonych badań, które potwierdzają postawione w artykule tezy.

EN

Real-time monitoring and controlling system is an important element of micro-machining process. The article presents such a system, developed in a research project on ZUT in Szczecin. It describes the analytical methods widely used in the diagnosis, including the fast Fourier transform (FFT) or discrete wavelet transform. It also describes a unique design of the machine, its components, and presents a scheme of a diagnostic system. The results of the analysis included in the article confirm correctness of used methods.