Abstract
Quasistatic error sources, which include thermal, mechanical loading and geometric error sources, are responsible for a very large proportion (typically, 70%) of the volumetric errors of a CNC machine tool. This paper discusses the development of a general quasistatic error model for multi-axis CNC machining centers using rigid body kinematics. To predict the quasistatic errors at any position in the workspace, a new method was proposed using the meshing concepts developed in the FEM literature. Finally, the spatial rate of change of the error was analyzed. The model and analysis method can be used as the basis of a compensation scheme as well as in budgeting of errors on a machine tool. © 1997 American Society of Mechanical Engineers (ASME). All rights reserved.
| Original language | English |
|---|---|
| Title of host publication | Manufacturing Science and Engineering: Volume 1 |
| Publisher | American Society of Mechanical Engineers |
| Pages | 55-62 |
| Volume | 1997-V |
| ISBN (Print) | 9780791826782 |
| DOIs | |
| Publication status | Published - 1997 |
| Event | ASME 1997 International Mechanical Engineering Congress and Exposition, IMECE 1997 - Manufacturing Science and Engineering - Dallas, United States Duration: 16 Nov 1997 → 21 Nov 1997 |
Publication series
| Name | ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) |
|---|---|
| Volume | 1997-V |
Conference
| Conference | ASME 1997 International Mechanical Engineering Congress and Exposition, IMECE 1997 - Manufacturing Science and Engineering |
|---|---|
| Place | United States |
| City | Dallas |
| Period | 16/11/97 → 21/11/97 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This paper is based on an interim report of Research Project No. 9040090 funded by UGC. The authors are grateful for the support received from the City University of Hong Kong.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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