cmms

A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy

by

A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy Hubert Siewiór, Łukasz Madej AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2021.4.0769 Abstract: This work is devoted to an evaluation of the capabilities of artificial neural networks (ANN) in terms of … Read more

On the approach to the analysis of the growth of epitaxial layers by pulsed laser deposition

by

On the approach to the analysis of the growth of epitaxial layers by pulsed laser deposition Evgeny L. Pankratov1,2 1Nizhny Novgorod State University, 23 Gagarin Avenue, Nizhny Novgorod, 603950, Russia. 2Nizhny Novgorod State Technical University, 24 Minin Street, Nizhny Novgorod, 603950, Russia. DOI: https://doi.org/10.7494/cmms.2021.4.0768 Abstract: This paper considers an analytical approach for the prognosis of … Read more

Aircraft wing structural design application in MATLAB App Designer

by

Aircraft wing structural design application in MATLAB App Designer Ahmed Bilal1, Faisal Siddiqui1, Messam Abbas1, Mohtashim Mansoor2 1Department of Aerospace Engineering, Air University A&AC Campus Islamabad, Pakistan. 2Department of Aerospace Engineering, College of Aeronautical Engineering, NUST, Risalpur Pakistan. DOI: https://doi.org/10.7494/cmms.2021.4.0762 Abstract: This study focuses on developing an automated application in the MATLAB® App Designer module, … Read more

Evolutionary data driven modelling and many objective optimization of non linear noisy data in the blast furnace iron making process

by

Evolutionary data driven modelling and many objective optimization of non linear noisy data in the blast furnace iron making process Bashista Kumar Mahanta, Nirupam Chakraborti Department of Metallurgical and Materials Engineering Indian Institute of Technology, Kharagpur, India. DOI: https://doi.org/10.7494/cmms.2021.3.0733 Abstract: Optimization of process parameters in modern blast furnace operation, where both control and accessing large … Read more

Conversion of compression test data into flow curve, accounting for barrelling

by

Conversion of compression test data into flow curve, accounting for barrelling Shahin Khoddam, Peter D. Hodgson Deakin University, Institute for Frontier Materials, GTP Building, 75 Pigdons Road, Waurn Ponds, VIC 3216, Australia. DOI: https://doi.org/10.7494/cmms.2021.3.0750 Abstract: Current solutions to convert the axis-symmetric compression test (ACT) data to flow data ignore the barrelling deformation in the sample. … Read more

Mathematical modelling of the continuous casting of blooms and beam blanks

by

Mathematical modelling of the continuous casting of blooms and beam blanks Daniela Fátima Gomes, Bernardo Martins Braga, Roberto Parreiras Tavares, Maurício Covcevich Bagatini Metallurgical and Materials Engineering Department, School of Engineering, Federal University of Minas Gerais, Av. Presidente Antônio Carlos 6627, 31270-901 Belo Horizonte, Brazil. DOI: https://doi.org/10.7494/cmms.2021.3.0735 Abstract: Defects and discontinuities generated in continuous casting … Read more

Effective properties of periodic media in elastodynamic problems

by

Effective properties of periodic media in elastodynamic problems Rolando Yera1, Carlos G. Méndez1, Pablo J. Sánchez1,2, Alfredo E. Huespe1,3 1CIMEC-UNL-CONICET, Predio Conicet Dr Alberto Cassano, CP 3000 Santa Fe, Argentina. 2Gimni UTN-FRSF, Lavaise 610, CP 3000 Santa Fe, Argentina. 3FIQ-UNL, Santiago del Estero 2800, CP 3000 Santa Fe, Argentina. DOI: https://doi.org/10.7494/cmms.2021.3.0753 Abstract: This paper describes … Read more

The role of neighborhood density in the random cellular automata model of grain growth

by

The role of neighborhood density in the random cellular automata model of grain growth Michał Czarnecki, Mateusz Sitko, Łukasz Madej AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2021.3.0760 Abstract: The paper focuses on adapting the random cellular automata (RCA) method concept … Read more

Artificial intelligence approach for detecting material deterioration in hybrid building constructions

by

Artificial intelligence approach for detecting material deterioration in hybrid building constructions Andrei V. Chesnokov, Vitalii V. Mikhailov, Ivan V. Dolmatov The Faculty of Civil Engineering, Lipetsk State Technical University, Moskovskaya street 30, 398600 Lipetsk, Russian Federation. DOI: https://doi.org/10.7494/cmms.2021.2.0744 Abstract: Hybrid constructions include heterogeneous materials with different behaviors under load. The aim is to achieve a … Read more

On the prognosis of the growth of a heterostructure from a gas phase to analyze the possibility of decreasing mismatch-induced stresses

by

On the prognosis of the growth of a heterostructure from a gas phase to analyze the possibility of decreasing mismatch-induced stresses Evgeny L. Pankratov1,2 1Nizhny Novgorod State University, 23 Gagarin avenue, Nizhny Novgorod, 603950, Russia. 2Nizhny Novgorod State Technical University, 24 Minin Street, Nizhny Novgorod, 603950, Russia. DOI: https://doi.org/10.7494/cmms.2021.2.0761 Abstract: An approach to decreasing mismatch-induced … Read more