Cargando…
Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design
Clarifying the influence of the dress process parameters of the abrasive water jet on the dressing effect of fixed-abrasive pads (FAPs) is a prerequisite for online controllable dressing of abrasive water jets. This paper uses three factors and three horizontal response surface methods to explore th...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369917/ https://www.ncbi.nlm.nih.gov/pubmed/35955184 http://dx.doi.org/10.3390/ma15155251 |
_version_ | 1784766625732362240 |
---|---|
author | Wang, Zhankui Wang, Shiwei Ding, Yangyang Yang, Yakun Ma, Lijie Pang, Minghua Han, Jianhai Su, Jianxiu |
author_facet | Wang, Zhankui Wang, Shiwei Ding, Yangyang Yang, Yakun Ma, Lijie Pang, Minghua Han, Jianhai Su, Jianxiu |
author_sort | Wang, Zhankui |
collection | PubMed |
description | Clarifying the influence of the dress process parameters of the abrasive water jet on the dressing effect of fixed-abrasive pads (FAPs) is a prerequisite for online controllable dressing of abrasive water jets. This paper uses three factors and three horizontal response surface methods to explore the influence of jet pressure, abrasive concentration, and nozzle angle on FAP dressing quality. The prediction model of the material removal rate of a FAP machined using three process parameters is established. The influence of pairwise interactions of the three process parameter variables on the dressing effect and the optimal process parameters under each target is analyzed. Finally, the optimal process parameters predicted by the model are verified by experiments. The results show that the best dressing parameters with the MRR of the workpiece as the response value are as follows: jet pressure 3.8 MPa, abrasive concentration 3%, and nozzle angle 73°. The predicted value of the optimal process performance is 464.574 nm/min, and the experimental verification result is 469.136 nm/min; the error between the experimental value and the predicted value is within a reasonable range. |
format | Online Article Text |
id | pubmed-9369917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93699172022-08-12 Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design Wang, Zhankui Wang, Shiwei Ding, Yangyang Yang, Yakun Ma, Lijie Pang, Minghua Han, Jianhai Su, Jianxiu Materials (Basel) Article Clarifying the influence of the dress process parameters of the abrasive water jet on the dressing effect of fixed-abrasive pads (FAPs) is a prerequisite for online controllable dressing of abrasive water jets. This paper uses three factors and three horizontal response surface methods to explore the influence of jet pressure, abrasive concentration, and nozzle angle on FAP dressing quality. The prediction model of the material removal rate of a FAP machined using three process parameters is established. The influence of pairwise interactions of the three process parameter variables on the dressing effect and the optimal process parameters under each target is analyzed. Finally, the optimal process parameters predicted by the model are verified by experiments. The results show that the best dressing parameters with the MRR of the workpiece as the response value are as follows: jet pressure 3.8 MPa, abrasive concentration 3%, and nozzle angle 73°. The predicted value of the optimal process performance is 464.574 nm/min, and the experimental verification result is 469.136 nm/min; the error between the experimental value and the predicted value is within a reasonable range. MDPI 2022-07-29 /pmc/articles/PMC9369917/ /pubmed/35955184 http://dx.doi.org/10.3390/ma15155251 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Zhankui Wang, Shiwei Ding, Yangyang Yang, Yakun Ma, Lijie Pang, Minghua Han, Jianhai Su, Jianxiu Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design |
title | Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design |
title_full | Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design |
title_fullStr | Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design |
title_full_unstemmed | Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design |
title_short | Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box–Behnken Design |
title_sort | process parameter modeling and optimization of abrasive water jet dressing fixed-abrasive pad based on box–behnken design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369917/ https://www.ncbi.nlm.nih.gov/pubmed/35955184 http://dx.doi.org/10.3390/ma15155251 |
work_keys_str_mv | AT wangzhankui processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT wangshiwei processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT dingyangyang processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT yangyakun processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT malijie processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT pangminghua processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT hanjianhai processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign AT sujianxiu processparametermodelingandoptimizationofabrasivewaterjetdressingfixedabrasivepadbasedonboxbehnkendesign |