Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt
As a high-performance and difficult-to-machine material for the manufacture of blades, titanium alloys are increasingly being used in high-end manufacturing industries such as aerospace and aircraft. As engineering applications become more demanding, so do the requirements for precision. However, to...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Metals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4701/13/6/1085 |
_version_ | 1797593534360977408 |
---|---|
author | Hu Qiao Sibo Hu Ying Xiang Shanshan Liu Li Zhang |
author_facet | Hu Qiao Sibo Hu Ying Xiang Shanshan Liu Li Zhang |
author_sort | Hu Qiao |
collection | DOAJ |
description | As a high-performance and difficult-to-machine material for the manufacture of blades, titanium alloys are increasingly being used in high-end manufacturing industries such as aerospace and aircraft. As engineering applications become more demanding, so do the requirements for precision. However, to date, the choice of blade grinding parameters is still mainly dependent on the traditional “trial cut” and “experience” method, making the processing efficiency low and the quality of processing difficult to be guaranteed. In order to achieve the requirements of high precision and low surface roughness of the workpiece, to get rid of the status quo of relying on manual decision-making, and to achieve reasonable prediction and control of surface quality, this paper proposes to establish a theoretical prediction model for surface roughness of titanium alloy by abrasive belt grinding, and to analyze the influence of the main process parameters on surface roughness during the grinding process through experiments. A theoretical prediction model for surface roughness was developed. The experimental results show that the model has certain accuracy and reliability, and can provide guidance for the high-precision prediction of the surface roughness of ground titanium alloy blades, which has strong practical significance in engineering. |
first_indexed | 2024-03-11T02:09:33Z |
format | Article |
id | doaj.art-ac2c54955cc24a9daec0c89a1138e64d |
institution | Directory Open Access Journal |
issn | 2075-4701 |
language | English |
last_indexed | 2024-03-11T02:09:33Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Metals |
spelling | doaj.art-ac2c54955cc24a9daec0c89a1138e64d2023-11-18T11:36:35ZengMDPI AGMetals2075-47012023-06-01136108510.3390/met13061085Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive BeltHu Qiao0Sibo Hu1Ying Xiang2Shanshan Liu3Li Zhang4School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaAs a high-performance and difficult-to-machine material for the manufacture of blades, titanium alloys are increasingly being used in high-end manufacturing industries such as aerospace and aircraft. As engineering applications become more demanding, so do the requirements for precision. However, to date, the choice of blade grinding parameters is still mainly dependent on the traditional “trial cut” and “experience” method, making the processing efficiency low and the quality of processing difficult to be guaranteed. In order to achieve the requirements of high precision and low surface roughness of the workpiece, to get rid of the status quo of relying on manual decision-making, and to achieve reasonable prediction and control of surface quality, this paper proposes to establish a theoretical prediction model for surface roughness of titanium alloy by abrasive belt grinding, and to analyze the influence of the main process parameters on surface roughness during the grinding process through experiments. A theoretical prediction model for surface roughness was developed. The experimental results show that the model has certain accuracy and reliability, and can provide guidance for the high-precision prediction of the surface roughness of ground titanium alloy blades, which has strong practical significance in engineering.https://www.mdpi.com/2075-4701/13/6/1085titanium alloyabrasive belt grindingsurface roughnessregression mathematical model |
spellingShingle | Hu Qiao Sibo Hu Ying Xiang Shanshan Liu Li Zhang Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt Metals titanium alloy abrasive belt grinding surface roughness regression mathematical model |
title | Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt |
title_full | Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt |
title_fullStr | Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt |
title_full_unstemmed | Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt |
title_short | Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt |
title_sort | research on the analysis and prediction model of machining parameters of titanium alloy by abrasive belt |
topic | titanium alloy abrasive belt grinding surface roughness regression mathematical model |
url | https://www.mdpi.com/2075-4701/13/6/1085 |
work_keys_str_mv | AT huqiao researchontheanalysisandpredictionmodelofmachiningparametersoftitaniumalloybyabrasivebelt AT sibohu researchontheanalysisandpredictionmodelofmachiningparametersoftitaniumalloybyabrasivebelt AT yingxiang researchontheanalysisandpredictionmodelofmachiningparametersoftitaniumalloybyabrasivebelt AT shanshanliu researchontheanalysisandpredictionmodelofmachiningparametersoftitaniumalloybyabrasivebelt AT lizhang researchontheanalysisandpredictionmodelofmachiningparametersoftitaniumalloybyabrasivebelt |