Machine Learning Methods for diagnosing the causes of die-casting defects

Machine Learning Methods for diagnosing the causes of die-casting defects Alicja Okuniewska, Marcin Perzyk, Jacek Kozłowski Warsaw University of Technology, Faculty of Mechanical and Industrial Engineering, Institute of Manufacturing Technologies, Narbutta 85, 02-524 Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2023.2.0809 Abstract: The research was focused on analyzing the causes of high-pressure die-casting defects, more specifically on casting leakage, … Read more

Physical and numerical simulation of the production chain of fasteners manufactured of 32CrB4 steel control-cooled in the stelmor process to develop the multiphase microstructure

Physical and numerical simulation of the production chain of fasteners manufactured of 32CrB4 steel control-cooled in the stelmor process to develop the multiphase microstructure Michał Piwowarczyk1, Natalia Wolańska1, Marek Wilkus2, Maciej Pietrzyk2, Łukasz Rauch2, Roman Kuziak3, Valery Pidvysots’kyy3, Krzysztof Radwański3 1 CMC Poland, ul. Piłsudzkiego 82, 42-400 Zawiercie, Poland.2 AGH University of Krakow, Faculty of … Read more

Grain size measurement using a semi-automatic calculation tool

Grain size measurement using a semi-automatic calculation tool Fatah Mernache, Abdelaziz Sehisseh, Amina Amrane, Said Hadji, Yasmine Melhani, Mohamed Grine, Lakhdar Messai Warsaw University of Technology, Institute of Manufacturing Technologies, Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2023.1.0803 Abstract: This paper focuses on the development of a semi-automatic calculation tool to measure the Mean Linear Intercept (MLI) grain size … Read more

Generation of large scale robotic 3D printing trajectories and optimization of the quality of pieces

Generation of large scale robotic 3D printing trajectories and optimization of the quality of pieces François Rosoux, Henri Appeldoorn, Didier Garray, Eric Beeckman Sirris, the collective centre of the Belgian technological industry, Seraing 4102, Belgium. DOI: https://doi.org/10.7494/cmms.2023.1.0794 Abstract: Incremental sheet forming is used to form metal sheets on massive dies. However, the waste and time … Read more

Investigation of the suitability of a fused filament fabricated tool for incremental sheet metal forming

Investigation of the suitability of a fused filament fabricated tool for incremental sheet metal forming Dieter Weise1, Christian Langner1, Alexander Pierer1, Verena Kraeusel1, Jana Petru2, Jiri Koziorek2, Michal Prauzek2 1Fraunhofer Institute for Machine Tools and Forming Technology IWU, Reichenhainer Strasse 88, 09126 Chemnitz, Germany. 2VSB – Technical University of Ostrava, 17 Listopadu 2172/15, 708 00 … Read more

The use of generative models to speed up the discovery of materials

The use of generative models to speed up the discovery of materials Andrea Gregores Coto1, Christian Eike Precker1, Tom Andersson2, Anssi Laukkanen2, Tomi Suhonen2, Pilar Rey Rodriguez1, Santiago Muíños-Landín1 1AIMEN Technology Centre, Smart Systems and Smart Manufacturing, Artificial Intelligence and Data Analytics Laboratory, PI. Cataboi, 36418 Pontevedra, Spain.2VTT Technical Research Centre of Finland Ltd., 02044 … Read more

The role of die definition in the numerical simulations of two-points incremental forming processes

The role of die definition in the numerical simulations of two-points incremental forming processes Konrad Perzynski, Kacper Pawlikowski, Lukasz Madej AGH University of Krakow, al. Mickiewicza 30, 30-059 Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2023.1.0795 Abstract: The main objective of this work is to investigate the influence of the definition of dies type in the finite element simulation … Read more

Computational intelligence based design of biomaterials

Computational intelligence based design of biomaterials Arulraj Vinoth, Shubhabrata Datta Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India. DOI: https://doi.org/10.7494/cmms.2022.4.0799 Abstract: This paper presents an overview of the applications of computational intelligence techniques, viz. artificial neural networks, fuzzy inference systems, and genetic algorithms, for the design of … Read more

The acoustic emission (AE) controlling method of the electric sheet blanking process – a comparative study of selected data mining methods

The acoustic emission (AE) controlling method of the electric sheet blanking process – a comparative study of selected data mining methods Andrzej Kochański, Piotr Czyżewski, Leszek Moszczyński Warsaw University of Technology, Institute of Manufacturing Technologies, Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2022.4.0785 Abstract: The article presents an experimental stand to assess the state of punch in the process … Read more

Soft modelling of the shaping of metal profiles in rapid tube hydroforming technology

Soft modelling of the shaping of metal profiles in rapid tube hydroforming technology Hanna Sadłowska, Andrzej Kochański Warsaw University of Technology, Institute of Manufacturing Technologies, Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2022.4.0789 Abstract: The paper presents an approach to the impact of process parameters in innovative RTH (Rapid Tube Hydroforming) technology for shaping closed metal profiles in flexible … Read more