Application of Feed-Forward Neural Networks for Modeling Friction Phenomena with Presence of Vegetable Oil-Based Bio-Lubricants
Trzepieciński, Tomasz, Mezher, Marwan T., Luiz, Valmir Dias, Laouini, Salah Eddine, Lemu, Hirpa G.
Analysis of the Lubrication Performance of Low-Carbon Steel Sheets in the Presence of Pressurised Lubricant
Trzepieciński, Tomasz, Luiz, Valmir Dias, Szwajka, Krzysztof, Szewczyk, Marek, Szpunar, Marcin
Synthesis of Barium Titanate Piezoelectric Ceramics for Multilayer Actuators (MLAs)
Biglar, Mojtaba, Gromada, Magdalena, Stachowicz, Feliks, Trzepieciński, Tomasz
Experimental and Numerical Stress State Assesment in Refill Friction Stir Spot Welding Joints
Gadalińska, Elżbieta, Kubit, Andrzej, Trzepieciński, Tomasz, Moneta, Grzegorz
Modelling Anisotropic Phenomena of Friction of Deep-Drawing Quality Steel Sheets Using Artificial Neural Networks
Trzepieciński, Tomasz, Lemu, Hirpa G., Chodoła, Łukasz, Ficek, Daniel, Szczęsny, Ireneusz
Surface Layer Properties of Low-Alloy High-Speed Steel after Grinding
Jaworski, Jan, Trzepieciński, Tomasz
Multivariate Modelling of Effectiveness of Lubrication of Ti-6al-4v Titanium Alloy Sheet using Vegetable Oil-Based Lubricants
Trzepieciński, Tomasz, Szpunar, Marcin
Characterization of mechanical properties of barium titanate ceramics with different grain sizes
Trzepiecinski, Tomasz, Gromada, Magdalena