Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness
Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomenon twin, this study proposes a system defined as t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Journal of Manufacturing and Materials Processing |
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| Online Access: | https://www.mdpi.com/2504-4494/4/1/11 |
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| author | Angkush Kumar Ghosh AMM Sharif Ullah Akihiko Kubo Takeshi Akamatsu Doriana Marilena D’Addona |
| author_facet | Angkush Kumar Ghosh AMM Sharif Ullah Akihiko Kubo Takeshi Akamatsu Doriana Marilena D’Addona |
| author_sort | Angkush Kumar Ghosh |
| collection | DOAJ |
| description | Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomenon twin, this study proposes a system defined as the phenomenon twin construction system. It consists of three components, namely the input, processing, and output components. Among these components, the processing component is the most critical one that digitally models, simulates, and validates a given phenomenon extracting information from the input component. What kind of modeling, simulation, and validation approaches should be used while constructing the processing component for a given phenomenon is a research question. This study answers this question using the case of surface roughness—a complex phenomenon associated with all material removal processes. Accordingly, this study shows that for modeling the surface roughness of a machined surface, the approach called semantic modeling is more effective than the conventional approach called the Markov chain. It is also found that to validate whether or not a simulated surface roughness resembles the expected roughness, the outcomes of the possibility distribution-based computing and DNA-based computing are more effective than the outcomes of a conventional computing wherein the arithmetic mean height of surface roughness is calculated. Thus, apart from the conventional computing approaches, the leading edge computational intelligence-based approaches can digitize manufacturing processes more effectively. |
| first_indexed | 2024-12-23T19:11:25Z |
| format | Article |
| id | doaj.art-7d9e7dd7ce6241a7810d85be942c597d |
| institution | Directory Open Access Journal |
| issn | 2504-4494 |
| language | English |
| last_indexed | 2024-12-23T19:11:25Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj.art-7d9e7dd7ce6241a7810d85be942c597d2022-12-21T17:34:26ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942020-02-01411110.3390/jmmp4010011jmmp4010011Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface RoughnessAngkush Kumar Ghosh0AMM Sharif Ullah1Akihiko Kubo2Takeshi Akamatsu3Doriana Marilena D’Addona4Graduate School of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami, Hokkaido 090-8507, JapanFaculty of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami, Hokkaido 090-8507, JapanFaculty of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami, Hokkaido 090-8507, JapanMitsubishi Hitachi Tool Engineering, Ltd., Tokyo 130-0026, JapanDepartment of Chemical, Materials and Industrial Production Engineering, Piazzale Tecchio 80, 80125 Naples, ItalyIndustry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomenon twin, this study proposes a system defined as the phenomenon twin construction system. It consists of three components, namely the input, processing, and output components. Among these components, the processing component is the most critical one that digitally models, simulates, and validates a given phenomenon extracting information from the input component. What kind of modeling, simulation, and validation approaches should be used while constructing the processing component for a given phenomenon is a research question. This study answers this question using the case of surface roughness—a complex phenomenon associated with all material removal processes. Accordingly, this study shows that for modeling the surface roughness of a machined surface, the approach called semantic modeling is more effective than the conventional approach called the Markov chain. It is also found that to validate whether or not a simulated surface roughness resembles the expected roughness, the outcomes of the possibility distribution-based computing and DNA-based computing are more effective than the outcomes of a conventional computing wherein the arithmetic mean height of surface roughness is calculated. Thus, apart from the conventional computing approaches, the leading edge computational intelligence-based approaches can digitize manufacturing processes more effectively.https://www.mdpi.com/2504-4494/4/1/11industry 4.0cyber-physical systemsdigital twinsurface roughnesscomplex phenomenonsemantic modelingmonte carlo simulationdna-based computingmarkov chain |
| spellingShingle | Angkush Kumar Ghosh AMM Sharif Ullah Akihiko Kubo Takeshi Akamatsu Doriana Marilena D’Addona Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness Journal of Manufacturing and Materials Processing industry 4.0 cyber-physical systems digital twin surface roughness complex phenomenon semantic modeling monte carlo simulation dna-based computing markov chain |
| title | Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness |
| title_full | Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness |
| title_fullStr | Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness |
| title_full_unstemmed | Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness |
| title_short | Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness |
| title_sort | machining phenomenon twin construction for industry 4 0 a case of surface roughness |
| topic | industry 4.0 cyber-physical systems digital twin surface roughness complex phenomenon semantic modeling monte carlo simulation dna-based computing markov chain |
| url | https://www.mdpi.com/2504-4494/4/1/11 |
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