A response surface methodology based approach to machining processes: modelling and quality of the models
Various techniques for developing prediction models for various machining performance measures such as surface roughness/surface integrity, cutting force, tool life/tool wear etc in machining processes are available. These methods include, but are not limited to, analytical, numerical, empirical, a...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Inderscience Enterprises Limited
2009
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/7711/ http://irep.iium.edu.my/7711/1/2009_a_response_surface_methodology_pp240-261.pdf |
| _version_ | 1848776893291036672 |
|---|---|
| author | Alao, A-R Konneh, Mohamed |
| author_facet | Alao, A-R Konneh, Mohamed |
| author_sort | Alao, A-R |
| building | IIUM Repository |
| collection | Online Access |
| description | Various techniques for developing prediction models for various machining performance measures such as surface roughness/surface integrity, cutting force, tool life/tool wear etc in machining processes are available. These
methods include, but are not limited to, analytical, numerical, empirical, and artificial intelligence (AI) based methods. While empirical modelling often
employs the use of response surface methodology (RSM), however, proper understanding must be established regarding RSM-based models with respect to their development, validation and acceptability. Therefore, the general
framework for developing RSM-based prediction models and testing their quality are discussed in this paper. This is followed by a practical surfacebroughness (Rt) model developed for precision grinding of silicon, a machining
process that is very difficult to model. The result shows that the procedural modelling frameworks work well for the Rt developed model. |
| first_indexed | 2025-11-14T14:37:19Z |
| format | Article |
| id | iium-7711 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:37:19Z |
| publishDate | 2009 |
| publisher | Inderscience Enterprises Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-77112012-01-13T02:15:53Z http://irep.iium.edu.my/7711/ A response surface methodology based approach to machining processes: modelling and quality of the models Alao, A-R Konneh, Mohamed TJ1125 Machine shops and machine shop practice Various techniques for developing prediction models for various machining performance measures such as surface roughness/surface integrity, cutting force, tool life/tool wear etc in machining processes are available. These methods include, but are not limited to, analytical, numerical, empirical, and artificial intelligence (AI) based methods. While empirical modelling often employs the use of response surface methodology (RSM), however, proper understanding must be established regarding RSM-based models with respect to their development, validation and acceptability. Therefore, the general framework for developing RSM-based prediction models and testing their quality are discussed in this paper. This is followed by a practical surfacebroughness (Rt) model developed for precision grinding of silicon, a machining process that is very difficult to model. The result shows that the procedural modelling frameworks work well for the Rt developed model. Inderscience Enterprises Limited 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/7711/1/2009_a_response_surface_methodology_pp240-261.pdf Alao, A-R and Konneh, Mohamed (2009) A response surface methodology based approach to machining processes: modelling and quality of the models. International Journal Experimental Design and Process Optimisation (IJEDPO), Vol. 1 (2/3). 240- 261 . ISSN 2040-2252 (Print); 2040-2260 (Online) http://www.inderscience.com/browse/index.php?journalID=351 DOI: 10.1504/IJEDPO.2009.03032 |
| spellingShingle | TJ1125 Machine shops and machine shop practice Alao, A-R Konneh, Mohamed A response surface methodology based approach to machining processes: modelling and quality of the models |
| title | A response surface methodology based approach to machining processes: modelling and quality of the models |
| title_full | A response surface methodology based approach to machining processes: modelling and quality of the models |
| title_fullStr | A response surface methodology based approach to machining processes: modelling and quality of the models |
| title_full_unstemmed | A response surface methodology based approach to machining processes: modelling and quality of the models |
| title_short | A response surface methodology based approach to machining processes: modelling and quality of the models |
| title_sort | response surface methodology based approach to machining processes: modelling and quality of the models |
| topic | TJ1125 Machine shops and machine shop practice |
| url | http://irep.iium.edu.my/7711/ http://irep.iium.edu.my/7711/ http://irep.iium.edu.my/7711/ http://irep.iium.edu.my/7711/1/2009_a_response_surface_methodology_pp240-261.pdf |