Evolutionary algorithm-driven screw press design
This paper explores the integration of evolutionary algorithms (EAs) into the process of designing manufacturing machines. The goal is to partially substitute the work of the human designer with modern artificial intelligence methods. The study focuses on the application of ISRES (Improved Stochasti...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | International Journal of Sustainable Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19397038.2025.2454364 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832583572452540416 |
|---|---|
| author | David Fait Pavel Karban Petra Hofrichterová |
| author_facet | David Fait Pavel Karban Petra Hofrichterová |
| author_sort | David Fait |
| collection | DOAJ |
| description | This paper explores the integration of evolutionary algorithms (EAs) into the process of designing manufacturing machines. The goal is to partially substitute the work of the human designer with modern artificial intelligence methods. The study focuses on the application of ISRES (Improved Stochastic Ranking Evolution Strategy) to design a screw press. The first part of the text is dedicated to a literature review and the search for a similar application. The field of manufacturing machines is quite conservative and even in the context of the whole of mechanical engineering only a few similar research papers have been found. The next paragraph deals with the calculation methodology and a basic description of a screw press. The background calculation model is described in the next chapter. The paper then proceeds with the principles of evolutionary algorithms and leads on to the optimisation process. The last part deals with the connection to a CAD (Computer Aided Design) program. The paper then concludes with the advantages and possible impact in the context of mechanical engineering. |
| format | Article |
| id | doaj-art-0f0fc5a3caec48269da197170921e53a |
| institution | Kabale University |
| issn | 1939-7038 1939-7046 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Sustainable Engineering |
| spelling | doaj-art-0f0fc5a3caec48269da197170921e53a2025-01-28T10:46:05ZengTaylor & Francis GroupInternational Journal of Sustainable Engineering1939-70381939-70462025-12-0118110.1080/19397038.2025.2454364Evolutionary algorithm-driven screw press designDavid Fait0Pavel Karban1Petra Hofrichterová2Faculty of Mechanical Engineering, University of West Bohemia, Pilsen, Czech RepublicFaculty of Electrical Engineering, University of West Bohemia, Pilsen, Czech RepublicFaculty of Mechanical Engineering, University of West Bohemia, Pilsen, Czech RepublicThis paper explores the integration of evolutionary algorithms (EAs) into the process of designing manufacturing machines. The goal is to partially substitute the work of the human designer with modern artificial intelligence methods. The study focuses on the application of ISRES (Improved Stochastic Ranking Evolution Strategy) to design a screw press. The first part of the text is dedicated to a literature review and the search for a similar application. The field of manufacturing machines is quite conservative and even in the context of the whole of mechanical engineering only a few similar research papers have been found. The next paragraph deals with the calculation methodology and a basic description of a screw press. The background calculation model is described in the next chapter. The paper then proceeds with the principles of evolutionary algorithms and leads on to the optimisation process. The last part deals with the connection to a CAD (Computer Aided Design) program. The paper then concludes with the advantages and possible impact in the context of mechanical engineering.https://www.tandfonline.com/doi/10.1080/19397038.2025.2454364Manufacturing machinesgenetic algorithmsscrew pressevolutionary optimising techniques |
| spellingShingle | David Fait Pavel Karban Petra Hofrichterová Evolutionary algorithm-driven screw press design International Journal of Sustainable Engineering Manufacturing machines genetic algorithms screw press evolutionary optimising techniques |
| title | Evolutionary algorithm-driven screw press design |
| title_full | Evolutionary algorithm-driven screw press design |
| title_fullStr | Evolutionary algorithm-driven screw press design |
| title_full_unstemmed | Evolutionary algorithm-driven screw press design |
| title_short | Evolutionary algorithm-driven screw press design |
| title_sort | evolutionary algorithm driven screw press design |
| topic | Manufacturing machines genetic algorithms screw press evolutionary optimising techniques |
| url | https://www.tandfonline.com/doi/10.1080/19397038.2025.2454364 |
| work_keys_str_mv | AT davidfait evolutionaryalgorithmdrivenscrewpressdesign AT pavelkarban evolutionaryalgorithmdrivenscrewpressdesign AT petrahofrichterova evolutionaryalgorithmdrivenscrewpressdesign |