Content area

Abstract

The profile of the globoidal indexing cam is a spatially undevelopable surface. It needs a special computer numerical control (CNC) machine tool to finish batch production, and its machining quality will be affected by the motion error of each part of the machine tool and the clamped positioning error of the workpiece. Firstly, the mathematical model of the error of the machine tool for machining the globoidal cam surface is derived, and the influence of the error of the machine tool for machining the globoidal cam surface is given. Secondly, an error tracking method for globoidal cam profile machining error based on error sensitivity coefficient grouping is proposed, which improves the data processing speed and the accuracy of the tracking results. Finally, the error analysis and traceability method of the globoidal cam is verified by experiments, and the error traceability results are fed back to the processing link. The machining quality of globoidal cam is improved by the error compensation, which provides the key technology for the integration of the design, manufacture, and measurement of the globoidal cam.

Details

1009240
Business indexing term
Title
Research on Machining Error Analysis and Traceability Method of Globoidal Indexing Cam Profile
Publication title
Machines; Basel
Volume
10
Issue
3
First page
219
Publication year
2022
Publication date
2022
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
e-ISSN
20751702
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2022-03-21
Milestone dates
2022-02-18 (Received); 2022-03-17 (Accepted)
Publication history
 
 
   First posting date
21 Mar 2022
ProQuest document ID
2642437180
Document URL
https://www.proquest.com/scholarly-journals/research-on-machining-error-analysis-traceability/docview/2642437180/se-2?accountid=208611
Copyright
© 2022 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2023-11-29
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic