Using an Adaptive Network-based Fuzzy Inference System to Estimate the Vertical Force in Single Point Incremental Forming

Abstract

Manufacturing processes are usually complex ones, involving a significant number of parameters. Unconventional manufacturing processes, such as incremental forming is even more complex, and the establishment of some analytical relationships between parameters is difficult, largely due to the nonlinearities in the process. To overcome this drawback, artificial intelligence techniques were used to build empirical models from experimental data sets acquired from the manufacturing processes. The approach proposed in this work used an adaptive network-based fuzzy inference system to extract the value of technological force on Z-axis, which appears during incremental forming, considering a set of technological parameters (diameter of the tool, feed and incremental step) as inputs. Sets of experimental data were generated and processed by means of the proposed system, to make use of the learning ability of it to extract the empirical values of the technological force from rough data.

Author Biographies

Sever Gabriel Racz, Lucian Blaga University of Sibiu
Professor at Lucian Blaga Unversity of Sibiu, Engineering Faculty, Head of Department of Industrial Machines and Equipment
Radu Eugen Breaz, Lucian Blaga University of Sibiu
Professor at Lucian Blaga Unversity of Sibiu, Engineering Faculty, Department of Industrial Machines and Equipment
Octavian Bologa, Lucian Blaga University of Sibiu
Professor emeritus at Lucian Blaga Unversity of Sibiu, Engineering Faculty, Department of Industrial Machines and Equipment
Melania Tera, Lucian Blaga University of Sibiu
Assistant Professor at Lucian Blaga Unversity of Sibiu, Engineering Faculty, Department of Industrial Machines and Equipment
Valentin Stefan Oleksik, Lucian Blaga University of Sibiu
Professor at Lucian Blaga Unversity of Sibiu, Engineering Faculty, Department of Industrial Machines and Equipment, vice-dean of the Engineering Faculty

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Published
2019-02-14
How to Cite
RACZ, Sever Gabriel et al. Using an Adaptive Network-based Fuzzy Inference System to Estimate the Vertical Force in Single Point Incremental Forming. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 14, n. 1, p. 63-77, feb. 2019. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/3489>. Date accessed: 06 aug. 2020. doi: https://doi.org/10.15837/ijccc.2019.1.3489.

Keywords

adaptive network-based fuzzy inference system, CNC milling machines, incremental forming, technological force