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Dive into the research topics where Bartosz Powałka is active.

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Featured researches published by Bartosz Powałka.


Journal of Vibration and Control | 2013

Active vibration control in milling flexible workpieces

Arkadiusz Parus; Bartosz Powałka; Krzysztof Marchelek; Stefan Domek; Marcin Hoffmann

During milling of flexible workpieces a regenerative chatter vibration may become a critical factor that limits productivity. It is shown in this paper that a selection of cutting parameters based on a stability lobes diagram may not always be a remedy for low productivity due to increased forced vibration level. Additionally, other factors such as tool wear may limit the selection of stable spindle speeds. This paper presents an active control system that counteracts the development of chatter vibration. The proposed active control system employs Linear Quadratic Gaussian (LQG) algorithm and piezoelectric actuator to suppress vibration during cutting. The Kalman filter is used to estimate the state of the system required by LQG algorithm. The active control introduces damping into the system, thereby raising the critical depth of cut and reducing forced vibration amplitude. It enables stable cutting under a much wider range of cutting parameters than for the uncontrolled system. Cutting tests are performed to demonstrate an effectiveness of the control system. Practical issues limiting applications of the proposed technique are discussed.


Journal of Vibration and Control | 2002

Vibrostability of the Milling Process Described by the Time-Variable Parameter Model

Krzysztof Marchelek; M. Pajor; Bartosz Powałka

This paper presents a method for vibrostability prognosis using a non-stationary model of the machine tool-cutting process system. The method employs Liapunov-Floquet theory. The method is illustrated by the example of the determination of limit cutting parameters using appropriate model reduction methods.


Journal of Vibration and Control | 2002

Method of Reducing the Number of DOF in the Machine Tool-Cutting Process System from the Point of View of Vibrostability Analysis

M. Pajor; Krzysztof Marchelek; Bartosz Powałka

The model of the mass-damping-spring (MDS) system of a machine tool is multi-degree of freedom model. The model of the cutting process (CP) has to correspond structurally to the MDS system model constituting the machine tool-cutting process (MT-CP) system model. This is often a model of time-variant parameters. Therefore, forecasting the vibrostability, i.e. resistance to the occurrence of self-excited vibrations, in the MT-CP system is a complicated task. To simplify analysis it is justified to reduce the number of degrees of freedom. The method presented simplifies significantly the computational model while the interpretation of the results applies to the whole construction. The reduced model carries information concerning vibration modes that determine vibrostability loss. The paper presents the mathematical fundamentals of the reduction of the machine tool MDS system model, analysis and selection of vibration modes considered in the reduced model and analysis of reduction errors.


Archives of Mechanical Technology and Materials | 2017

Accuracy and repeatability positioning of high-performance lathe for non-circular turning

Paweł Majda; Bartosz Powałka

Abstract This paper presents research on the accuracy and repeatability of CNC axis positioning in an innovative lathe with an additional Xs axis. This axis is used to perform movements synchronized with the angular position of the main drive, i.e. the spindle, and with the axial feed along the Z axis. This enables the one-pass turning of non-circular surfaces, rope and trapezoidal threads, as well as the surfaces of rotary tools such as a gear cutting hob, etc. The paper presents and discusses the interpretation of results and the calibration effects of positioning errors in the lathe’s numerical control system. Finally, it shows the geometric characteristics of the rope thread turned at various spindle speeds, including before and after-correction of the positioning error of the Xs axis.


43RD ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLUME 36 | 2017

Object’s optical geometry measurements based on Extended Depth of Field (EDoF) approach

Michał Szydłowski; Bartosz Powałka; Tomasz Chady; Paweł Waszczuk

The authors propose a method of using EDoF in macro inspections using bi-telecentric lenses and a specially designed experimental machine setup, allowing accurate focal distance changing. Also a software method is presented allowing EDoF image reconstruction using the continuous wavelet transform (CWT). Exploited method results are additionally compared with measurements performed with Keyence’s LJ-V Series in-line Profilometer for reference matters.


Dynamical Systems Theory and Applications | 2015

Assessment of Modal Parameters of a Building Structure Model

Przemysław Palenica; Bartosz Powałka; Rafał Grzejda

This paper relates to the field of vibrations of contemporary building structures. The aim of this study is to develop methods to estimate the safety of use of buildings subjected to dynamic loads. Calculations are carried out based on selected computational models of the column-beam-plate system used at the design stage of monolithic building structures. For modeling, the finite element method (FEM) is used. The results of calculations are compared with laboratory tests of the special model mapping of a building structure.


The International Journal of Advanced Manufacturing Technology | 2012

Dynamics of the guideway system founded on casting compound

Bartosz Powałka; Tomasz Okulik


Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology | 2016

Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance

Michał Szydłowski; Bartosz Powałka; Marcin Matuszak; Paweł Kochmański


Mechanical Systems and Signal Processing | 2016

Modal parameters estimation using ant colony optimisation algorithm

Piotr Sitarz; Bartosz Powałka


The International Journal of Advanced Manufacturing Technology | 2012

Chatter detection algorithm based on machine vision

Michał Szydłowski; Bartosz Powałka

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Michał Szydłowski

West Pomeranian University of Technology

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Krzysztof Marchelek

West Pomeranian University of Technology

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Krzysztof Jemielniak

Warsaw University of Technology

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Marcin Hoffmann

West Pomeranian University of Technology

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Marcin Jasiewicz

West Pomeranian University of Technology

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Mirosław Pajor

West Pomeranian University of Technology

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Paweł Kochmański

West Pomeranian University of Technology

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Paweł Waszczuk

West Pomeranian University of Technology

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Piotr Sitarz

West Pomeranian University of Technology

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Przemysław Palenica

West Pomeranian University of Technology

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