Search Results - "Kowalik, Marek"

Analysis of the Frictional Performance of AW-5251 Aluminium Alloy Sheets Using the Random Forest Machine Learning Algorithm and Multilayer Perceptron by Trzepieciński, Tomasz, Najm, Sherwan Mohammed, Ibrahim, Omar Maghawry, Kowalik, Marek

“…This paper is devoted to the determination of the coefficient of friction (COF) in the drawbead region in metal forming processes. As the test material,…”
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Application of the Gradient-Boosting with Regression Trees to Predict the Coefficient of Friction on Drawbead in Sheet Metal Forming by Najm, Sherwan Mohammed, Trzepieciński, Tomasz, Laouini, Salah Eddine, Kowalik, Marek, Fejkiel, Romuald, Kowalik, Rafał

“…Correct design of the sheet metal forming process requires knowledge of the friction phenomenon occurring in various areas of the drawpiece. Additionally, the…”
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Non-Symmetrical Direct Extrusion-Analytical Modelling, Numerical Simulation and Experiment by Kowalik, Marek, Paszta, Piotr, Trzepieciński, Tomasz, Kukiełka, Leon

“…The article presents the original technology of the extrusion of hollow curved pipes. The curvature radius of pipe axis was obtained directly during extrusion…”
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Experimental and Numerical Analysis of the Depth of the Strengthened Layer on Shafts Resulting from Roller Burnishing with Roller Braking Moment by Kowalik, Marek, Trzepieciński, Tomasz, Kukiełka, Leon, Paszta, Piotr, Maciąg, Paweł, Legutko, Stanisław

“…The article presents the results of investigations into the depth of the plastically deformed surface layer in the roller burnishing process. The investigation…”
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Experimental Assessment of the Depth of the Deformed Layer in the Roller Burnishing Process by Kowalik, Marek, Trzepiecinski, Tomasz

“…This paper presents the methods of experimental determining the depth of the plastically deformed top layer in the roller burnishing process. Precise…”
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Using the FEM Method in the Prediction of Stress and Deformation in the Processing Zone of an Elastic/Visco-Plastic Material during Diamond Sliding Burnishing by Chodór, Jarosław, Kukiełka, Leon, Chomka, Grzegorz, Bohdal, Łukasz, Patyk, Radosław, Kowalik, Marek, Trzepieciński, Tomasz, Radchenko, Andrii M.

“…This article concerns the application of the FEM method for the prediction of stress and deformation states in the workpiece during diamond sliding burnishing…”
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Effect of Pressing Parameters on the Quality of Joint Formation of Heat Exchanger Fins with the Base Plate by Kowalik, Marek, Trzepiecinski, Tomasz, Lemu, Hirpa G.

“…In this paper, the results of experimental and numerical studies on joining the thin fins to the thick base plate of a heat exchanger are presented. The…”
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Plastic Deformations of Measured Object Surface in Contact with Undeformable Surface of Measuring Tool by Kowalik, Marek, Rucki, Mirosław, Paszta, Piotr, Gołębski, Rafał

“…Measuring errors caused by deformation (flattening) of a measured object appear under the influence of pressure force and weight of the measured object…”
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Experimental and Numerical Study on Determination of Forces During Cold Rolling of Shafts by Marek, Kowalik, Tomasz, Trzepieciński

“…The influence of stress and friction conditions on material flow during longitudinal cold rolling of a shaft was investigated. The longitudinal cold rolling…”
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Modelling and parameter identification of coefficient of friction for deep-drawing quality steel sheets using the CatBoost machine learning algorithm and neural networks by Najm, Sherwan Mohammed, Trzepieciński, Tomasz, Kowalik, Marek

“…The development of models for the coefficient of friction is difficult due to many factors influencing its value and many tribological phenomena that accompany…”
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Experimental and Numerical Forces During Cold Study on Determination of Rolling of Shafts by Kowalik Marek Trzepieciflski Tomasz

“…The influence of stress and friction conditions on material flow during longitudinal cold rolling of a shaft was investigated. The longitudinal cold rolling…”
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Predict better with less training data using a QNN by Reese, Barry D, Kowalik, Marek, Metzl, Christian, Bauckhage, Christian, Sultanow, Eldar

“…Over the past decade, machine learning revolutionized vision-based quality assessment for which convolutional neural networks (CNNs) have now become the…”
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Data-driven reactivity prediction of targeted covalent inhibitors using computed quantum features for drug discovery by Montgomery, Tom W. A, Pogány, Peter, Purdy, Alice, Harris, Mike, Kowalik, Marek, Ferraro, Alex, Hasan, Hikmatyar, Green, Darren V. S, Genway, Sam

“…We present an approach to combine novel molecular features with experimental data within a data-driven pipeline. The method is applied to the challenge of…”
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