Awareness Seminar on 13th April 2018
Optimization has become a key ingredient in many engineering disciplines and has been experiencing a fast growth in recent years due to innovations in optimization algorithms and techniques, coupled with rapid development in computer hardware and software capabilities. The growing popularity of optimization in engineering applications is driven by ever-increasing competition pressure, where optimised products and/or processes can offer improved performance and cost effectiveness which are difficult to achieve with a traditional design approach. However, there are still many open challenges for optimization to be used routinely for engineering applications.
This awareness seminar brought together practitioners and academics in all relevant disciplines to share their knowledge and experiences, to discuss problems and challenges, and to facilitate further improvements in optimization techniques for engineering applications.
Chairman's Introduction & Welcome
David Felhos, Chairman NAFEMS Eastern Europe Steering Committee
Keynote Address: Intelligent Computing-Based Optimization Problems
Tadeusz Burczyński, Institute of Fundamental Technological Research (IPPT) Polish Academy of Sciences
Using of Surface Response Method to Determine the Optimal Parameters of Clinch Joints
Szabolcs Jonas, Knorr-Bremse
Development of New Numerical Models with the Use of Optimization Techniques
Mateusz Gawroński, AGH University of Science and Technology
Platform-based Approach vs File-based Approach - Seamless Solution for Topology Optimization
Marcin Wierszycki, Budsoft
Keynote Address: The Practical Examples of Optimization Techniques in the Automotive Industry
Tomasz Łukasik, Tenneco Poland
Response Surface Optimization of Plastic Latch
Marcin Hatlas, MESco Sp. z o.o.
Topological Optimization of Tram Car Body Structure
Grzegorz Wisniewski , DES ART sp. z o.o.
Keynote Address: Selected Aspects of Geometry Optimization of Vascular Stents
Lukasz Mazurkiewicz, Military University of Technology
Optimization of a Two-Component Implantology System using Genetic Algorithm
Krzysztof Szajek, Budsoft