Multi-Objective Optimization of Machining Parameters for Free Form Surfaces
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 880
Special Issue Editors
Interests: CNC machining; processes optimization; surface quality
Special Issues, Collections and Topics in MDPI journals
Interests: manufacturing processes; the non-conventional machining processes such as electrical discharge machining; electrochemical machining; machining of difficult–to–cut materials; specializing in erosive machining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Today, the advanced parts producing industry is focused on a transformation to smart manufacturing. However, finding an effective path to smart manufacturing is one of the biggest challenges for manufacturers in various industries. To make this possible, new advanced manufacturing solutions must be developed. They start with modern machine tools. Then, through the process integration and optimization, efficient high-quality machining processes are developed, resulting in time and energy savings, reduced CO2 emissions and improved quality of machined parts.
This Special Issue aims to present the recent advances in the modelling and optimization of parts with complex shapes machining process for modern manufacturing engineering. Especially CNC machining, application of modern tools, machining difficult-to-cut materials, machining of additively manufactured semi-finished products, computer modelling and simulation of the cutting process and the use of Artificial Intelligence, Finite Element Methods, Design of Experiment and other modern techniques in this process.
Dr. Andrzej Matras
Dr. Magdalena Machno
Guest Editors
Manuscript Submission Information
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Keywords
- smart manufacturing
- CNC machining
- modelling and simulation
- optimization
- difficult-to-cut materials
- machining supervision
- energy savings
- carbon dioxide emissions
- part quality
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