|
1
|
Vrbová H, Kubišová M, Měřínská D, Novák M, Pata V, Knedlová J, Sedlačík M, Šuba O. The Implementation of Neural Networks for Polymer Mold Surface Evaluation. Micromachines (Basel) 2024; 15:102. [PMID: 38258221 PMCID: PMC10821243 DOI: 10.3390/mi15010102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/13/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024]
Abstract
This paper presents the measurement and evaluation of the surfaces of molds produced using additive technologies. This is an emerging trend in mold production. The surfaces of such molds must be treated, usually using laser-based alternative machining methods. Regular evaluation is necessary because of the gradually deteriorating quality of the mold surface. However, owing to the difficulty in scanning the original surface of the injection mold, it is necessary to perform surface replication. Therefore, this study aims to describe the production of surface replicas for in-house developed polymer molds together with the determination of suitable descriptive parameters, the method of comparing variances, and the mean values for the surface evaluation. Overall, this study presents a new summary of the evaluation process of replicas of the surfaces of polymer molds. The nonlinear regression methodology provides the corresponding functional dependencies between the relevant parameters. The statistical significance of a neural network with two hidden layers based on the principle of Rosenblatt's perceptron has been proposed and verified. Additionally, machine learning was utilized to better compare the original surface and its replica.
Collapse
Affiliation(s)
- Hana Vrbová
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| | - Milena Kubišová
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| | - Dagmar Měřínská
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| | - Martin Novák
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| | - Vladimir Pata
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| | - Jana Knedlová
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| | - Michal Sedlačík
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
- Centre of Polymer Systems, University Institute, Tomas Bata University in Zlin, Trida T. Bati 5678, 760 01 Zlin, Czech Republic
| | - Oldřich Šuba
- Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 5669, 760 01 Zlin, Czech Republic; (H.V.); (D.M.); (M.N.); (V.P.); (J.K.); (M.S.); (O.Š.)
| |
Collapse
|