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Krzysztof Szwajka
Krzysztof Szwajka
未知所在单位机构
在 prz.edu.pl 的电子邮件经过验证
标题
引用次数
引用次数
年份
Effect of tool material on tool wear and delamination during machining of particleboard
K Szwajka, T Trzepieciński
Journal of Wood Science 62, 305-315, 2016
352016
Evaluation tool condition of milling wood on the basis of vibration signal
K Szwajka, J Górski
Journal of Physics: Conference Series 48 (1), 1205, 2006
322006
Experimental study on drilling MDF with tools coated with TiAlN and ZrN
K Szwajka, J Zielińska-Szwajka, T Trzepiecinski
Materials 12 (3), 386, 2019
202019
On the machinability of medium density fiberboard by drilling
K Szwajka, T Trzepiecinski
BioResources 13 (4), 8263-8278, 2018
152018
Frictional characteristics of deep-drawing quality steel sheets in the flat die strip drawing test
M Szewczyk, K Szwajka, T Trzepieciński
Materials 15 (15), 5236, 2022
122022
An examination of the tool life and surface quality during drilling melamine faced chipboard
K Szwajka, T Trzepieciński
Wood Res 62, 307-318, 2017
122017
Assessment of the tribological performance of bio-based lubricants using analysis of variance
M Szewczyk, K Szwajka
Advances in Mechanical and Materials Engineering 40 (1), 31-38, 2023
112023
The influence of machining parameters and tool wear on the delamination process during milling of melamine-faced chipboard
K Szwajka, T Trzepiecinski
Drewno. Prace Naukowe. Doniesienia. Komunikaty 60 (199), 2017
102017
Improving the Surface Integrity of 316L steel in the context of bioimplant applications
K Szwajka, J Zielińska-Szwajka, T Trzepieciński
Materials 16 (9), 3460, 2023
82023
The use of non-edible green oils to lubricate DC04 steel sheets in sheet metal forming process
T Trzepieciński, M Szewczyk, K Szwajka
Lubricants 10 (9), 210, 2022
72022
The use of a radial basis function neural network and fuzzy modelling in the assessment of surface roughness in the MDF milling process
K Szwajka, J Zielińska-Szwajka, T Trzepieciński
Materials 16 (15), 5292, 2023
62023
Sensor signals for tool-wear monitoring in wood cutting operations-a review of methods. Part 4.
K Szwajka, J Zielńska-Szwajka
62008
The quality of the machined surface in the drilling process laminated chipboard
J Zielinska-Szwajka, K Szwajka
Annals of Warsaw University of Life Sciences-SGGW. Forestry and Wood Technology, 2014
52014
Torque and thrust force in drilling
K Szawajka
Annals of Warsaw University of Life Sciences-SGGW. Forestry and Wood Technology, 2011
52011
Neural networks based in process tool wear prediction system in milling wood operations
K Szwajka, J Zielinska-Szwajka, J Gorski
Fifth International Symposium on Instrumentation Science and Technology 7133 …, 2009
52009
Microstructure and mechanical properties of solid-state rotary friction welded Inconel 713C and 32CrMo4 steel joints used in a turbocharger rotor
K Szwajka, J Zielińska-Szwajka, T Trzepieciński
Materials 16 (6), 2273, 2023
42023
Wpływ wybranych parametrów skrawania na dokładność obróbki w procesie wiercenia stopu Ti6Al4V
K Szwajka, J Zielińska-Szwajka
Advances in Mechanical and Materials Engineering 36 (1-2), 79-92, 2019
42019
An investigation into the friction of cold-rolled low-carbon DC06 steel sheets in sheet metal forming using radial basis function neural networks
T Trzepieciński, K Szwajka, M Szewczyk
Applied Sciences 13 (17), 9572, 2023
32023
Pressure-assisted lubrication of DC01 steel sheets to reduce friction in sheet-metal-forming processes
T Trzepieciński, K Szwajka, M Szewczyk
Lubricants 11 (4), 169, 2023
32023
Analysis of the Delamination in Drilling of Particle Board
K Szwajka
Materials Science Forum 818, 243-247, 2015
32015
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