cmms

Application of genetic algorithm for damage identification of non-homogenous tapered beam

by

Application of genetic algorithm for damage identification of non-homogenous tapered beam Soraj Kumar Panigrahi1, Snehashish Chakraverty1, Bhanu Kumar Mishra2 1B.P.P.P. Division, Central Building Research Institute, Roorkee, India. 2Mechanical and Industrial Engineering Department, Indian Institute of Technology, Roorkee, India. DOI: https://doi.org/10.7494/cmms.2008.2.0190 Abstract: Non-homogeneous structural members such as beams are very important in various engineering applications and … Read more

Artificial neural network techniques in cold roll-forming process design

by

Artificial neural network techniques in cold roll-forming process design Anthony Downes, Peter Hartley School of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. DOI: https://doi.org/10.7494/cmms.2008.2.0191 Abstract: There are several types of Artificial Neural Networks (ANN) each having different capabilities and characteristics that permit a wide range of applications. The purpose of this paper … Read more

Artificial neural networks for modelling the microhardness of plasma immersion ion implanted AISI 304 SS

by

Artificial neural networks for modelling the microhardness of plasma immersion ion implanted AISI 304 SS Hülya Durmuş1, Nurşen Saklakoğlu2 1Celal Bayar University, Turgutlu Technical Vocational School of Higher Education, Turgutlu-Manisa, 45400, Turkey. 2Celal Bayar University, Faculty of Engineering, Mechanical Engineering Department, 45140 Manisa – Turkey. DOI: https://doi.org/10.7494/cmms.2008.2.0192 Abstract: This paper reports on the effectiveness of … Read more

Attempt of neural modelling of castings crystallisation control process

by

Attempt of neural modelling of castings crystallisation control process Ryszard Tadeusiewicz, Joanna Grabska-Chrząstowska, Henryk Połcik AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2008.2.0193 Abstract: The paper presents a successful attempt to create a neural model for a casting process. Neural network, following the training process, is able to predict … Read more

Immune and evolutionary shape optimization in forging

by

Immune and evolutionary shape optimization in forging Wacław Kuś1, Tadeusz Burczyński1,2 1Department for Strength of Materials and Computational Mechanics Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Poland. 2Institute of Computer Modelling, Artificial Intelligence Section Cracow University of Technology, Warszawska 24, 31-155 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2008.2.0194 Abstract: The paper deals with applications of methods of … Read more

Interdiffusion in r-component (r ≥ 2) one dimensional mixture showing constant concentration

by

Interdiffusion in r-component (r ≥ 2) one dimensional mixture showing constant concentration Marek Danielewski1, Konstanty Holly2, Wojciech Krzyżański3 1University of Mining and Metallurgy, Faculty of Materials Science and Ceramics, ul. Mickiewicza 30, 30-059 Cracow, Poland. 2Jagiellonian University, Institute of Mathematics, ul. Reymonta 4, 30-059 Cracow, Poland. 3SUNY at Buffalo, 547 Cooke Hall, Buffalo, NY 14260-1200, … Read more

Concurrent and upscaling methods in multi scale modelling – case studies

by

Concurrent and upscaling methods in multi scale modelling – case studies Łukasz Madej1, Adam Mrozek2, Wacław Kuś2, Tadeusz Burczyński2,3, Maciej Pietrzyk1 1Department of Applied Computer Science and Modelling, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland.2Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, … Read more

Numerical modeling of influence of gaseous bubble shape factor on steel flow in the tundish with system of argon injection

by

Numerical modeling of influence of gaseous bubble shape factor on steel flow in the tundish with system of argon injection Adam Cwudziński, Jan Jowsa Department of Metals Extraction and Recirculation, Faculty of Materials Processing Technology and Applied Physics,,Czestochowa University of Technology, Armii Krajowej 19, 42-200 Czestochowa, Poland. DOI: https://doi.org/10.7494/cmms.2008.1.0184 Abstract: The article presents the results … Read more

Elastic tool behaviour in cold rolling

by

Elastic tool behaviour in cold rolling Reiner Kopp, Martin Franzke Institute of Metal Forming, RWTH Aachen University, Germany. DOI: https://doi.org/10.7494/cmms.2008.1.0185 Abstract: An important issue for realistic simulation of the cold rolling process is the consideration of the tools as elastic structures. The material flow is strongly influenced by the elastic deformation of the tools. Due … Read more

CADiff – the inter and reactive diffusion simulation tool

by

CADiff – the inter and reactive diffusion simulation tool Bartłomiej Wierzba1, Maciej Pietrzyk2, Marek Danielewski1 1Interdisciplinary Centre for Materials Modelling, Faculty of Materials Science and Ceramics. 2AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2008.1.0186 Abstract: The CADiff software is presented in the paper. The method based on the extended … Read more