Profit-Driven Methodology for Servo Press Motion Selection under Material Variability
Servo presses enable new types of forming motion profiles that can be used to stamp difficult materials, such as high strength steels. This paper presents an application of Bayesian statistics to intelligently select which motion profile maximizes the expected utility given the properties of the inc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/20/9530 |
| _version_ | 1827680243930890240 |
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| author | Nozomu Okuda Luke Mohr Hyunok Kim Alex Kitt |
| author_facet | Nozomu Okuda Luke Mohr Hyunok Kim Alex Kitt |
| author_sort | Nozomu Okuda |
| collection | DOAJ |
| description | Servo presses enable new types of forming motion profiles that can be used to stamp difficult materials, such as high strength steels. This paper presents an application of Bayesian statistics to intelligently select which motion profile maximizes the expected utility given the properties of the incoming material. Bayesian logistic regression was used in conjunction with expected utility to estimate manufacturing returns, which can be used to make informed process decisions. A use case is presented, which demonstrates that the Smart Forming Algorithm can increase expected returns by more than 20%. |
| first_indexed | 2024-03-10T06:45:17Z |
| format | Article |
| id | doaj.art-54d3219f0cc3456dbb863761264107f5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:45:17Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-54d3219f0cc3456dbb863761264107f52023-11-22T17:20:09ZengMDPI AGApplied Sciences2076-34172021-10-011120953010.3390/app11209530Profit-Driven Methodology for Servo Press Motion Selection under Material VariabilityNozomu Okuda0Luke Mohr1Hyunok Kim2Alex Kitt3Edison Welding Institute (EWI), 683 Northland Ave., Buffalo, NY 14211, USAEdison Welding Institute (EWI), 683 Northland Ave., Buffalo, NY 14211, USAEdison Welding Institute (EWI), 683 Northland Ave., Buffalo, NY 14211, USAEdison Welding Institute (EWI), 683 Northland Ave., Buffalo, NY 14211, USAServo presses enable new types of forming motion profiles that can be used to stamp difficult materials, such as high strength steels. This paper presents an application of Bayesian statistics to intelligently select which motion profile maximizes the expected utility given the properties of the incoming material. Bayesian logistic regression was used in conjunction with expected utility to estimate manufacturing returns, which can be used to make informed process decisions. A use case is presented, which demonstrates that the Smart Forming Algorithm can increase expected returns by more than 20%.https://www.mdpi.com/2076-3417/11/20/9530Bayesian modelingmetal formingexpected utilitymachine learning |
| spellingShingle | Nozomu Okuda Luke Mohr Hyunok Kim Alex Kitt Profit-Driven Methodology for Servo Press Motion Selection under Material Variability Applied Sciences Bayesian modeling metal forming expected utility machine learning |
| title | Profit-Driven Methodology for Servo Press Motion Selection under Material Variability |
| title_full | Profit-Driven Methodology for Servo Press Motion Selection under Material Variability |
| title_fullStr | Profit-Driven Methodology for Servo Press Motion Selection under Material Variability |
| title_full_unstemmed | Profit-Driven Methodology for Servo Press Motion Selection under Material Variability |
| title_short | Profit-Driven Methodology for Servo Press Motion Selection under Material Variability |
| title_sort | profit driven methodology for servo press motion selection under material variability |
| topic | Bayesian modeling metal forming expected utility machine learning |
| url | https://www.mdpi.com/2076-3417/11/20/9530 |
| work_keys_str_mv | AT nozomuokuda profitdrivenmethodologyforservopressmotionselectionundermaterialvariability AT lukemohr profitdrivenmethodologyforservopressmotionselectionundermaterialvariability AT hyunokkim profitdrivenmethodologyforservopressmotionselectionundermaterialvariability AT alexkitt profitdrivenmethodologyforservopressmotionselectionundermaterialvariability |