Progress of Physics-based Mean-field Modeling and Simulation of Steel

The progress of mean-field modeling and simulation in steel is presented. In the modeling, the focus is put on the development and application of a physical modeling base, including Calphad, diffusion assessment, nucleation and growth of precipitates, and dislocation dynamics. This leads to an improved prediction of the materials response after different thermo-mechanical treatments in terms of microstructure evolution and mechanical properties. The presented case studies represent the success of the integrated computational materials engineering approach.

Recent Advances in Additive Manufacturing of High Entropy Alloys and Their Nuclear and Wear-Resistant Applications

Alloying has been very common practice in materials engineering to fabricate metals of desirable properties for specific applications. Traditionally, a small amount of the desired material is added to the principal metal. However, a new alloying technique emerged in 2004 with the concept of adding several principal elements in or near equi-atomic concentrations. These are popularly known as high entropy alloys (HEAs) which can have a wide composition range. A vast area of this composition range is still unexplored. The HEAs research community is still trying to identify and characterize the behaviors of these alloys under different scenarios to develop high-performance materials with desired properties and make the next class of advanced materials. Over the years, understanding of the thermodynamics theories, phase stability and manufacturing methods of HEAs has improved. Moreover, HEAs have also shown retention of strength and relevant properties under extreme tribological conditions and radiation. Recent progresses in these fields are surveyed and discussed in this review with a focus on HEAs for use under extreme environments (i.e., wear and irradiation) and their fabrication using additive manufacturing.

Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears

This paper presents a digital model for the powder metallurgical (PM) production chain of high-performance sintered gears based on an integrated computational materials engineering (ICME) platform. Discrete and finite element methods (DEM and FEM) were combined to describe the macroscopic material response to the thermomechanical loads and process conditions during the entire production process. The microstructural evolution during the sintering process was predicted on the meso-scale using a Monte-Carlo Model. The effective elastic properties were determined by a homogenization method based on modelling a representative volume element (RVE). The results were subsequently used for the FE modelling of the heat treatment process. Through the development of multi-scale models, it was possible obtain characteristics of the microstructural features. The predicted hardness and residual stress distributions allowed the calculation of the tooth root load bearing capacity of the heat-treated sintered gears.

About The Conference

6th International Conference of Computational Methods in Engineering Science (CMES’2021), 25-27 November 2021, Zamośd, Poland. The main objective of the CMES conference is the development of engineering sciences, numerical and experimental techniques, broaden experience, and good practices by representatives of the scientific community and industry. The conference allows the exchange of knowledge between different research domestic and foreign centres representing various fields of engineering science and technology. The organizers of the conference are Department of Thermodynamics, Fluid Mechanics and Aircraft Propulsion, Department of Machine Engineering Fundamentals and Mechatronics, Department of Materials Engineering (Mechanical Engineering Faculty of Lublin University of Technology), Department of Computer Science (Faculty of Electrical Engineering and Computer Science of Lublin University of Technology), Department of Organisation of Enterprise (Faculty of Management of Lublin University of Technology), Department of Renewable Energy Engineering and Department of Biomass and Waste Conversion in Biofuels (Faculty of Environmental Engineering of Lublin University of Technology), as well as Department of Airframe and Engine (Aeronautics Faculty of Military University of Aviation). TOPICS • Analysis of engineering processes • Application of computer programs in technology • Artificial and computational intelligence • Computational fluid dynamics (CFD) • Computer simulations of processes and phenomena • Finite Element Method (FEM) • Material properties and structure research methods • Production engineering and quality control • Technology management in energy acquisition processes List of Honorary Patronage, Organizing Committee, Scientific Committee are available in this pdf.

Opportunities of AI and ICME in Metals Recycling, Production and Processing

The rapid penetration of Artificial Intelligence (AI) and all related developments of the fourth industrial revolution is paving the way for a more sophisticated production sequence that strives for higher quality, lower emissions and lower cost production. This work reviews and discusses these developments and correlates them with state-of-the-art changes in materials engineering. We highlight penetration paradigms of modern computation tools. These technologies sound very promising in terms of maximizing the production efficiency of modern industries and, thus, minimizing the required energy input, greenhouse gas emissions and leading the way to a more ecofriendly economy.