Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment
In this article, a two-step based sampling method is developed to solve the problem of maximizing the power transmission capacity in a system of V-belt driving with polymorphic uncertainties. The problem is first formulated as an optimization model, where there are a non-linear objective function an...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Professional Engineering Publishing Ltd..
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/39695 |
| _version_ | 1848755660788858880 |
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| author | Wan, Z. Zhang, S. Teo, Kok Lay |
| author_facet | Wan, Z. Zhang, S. Teo, Kok Lay |
| author_sort | Wan, Z. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this article, a two-step based sampling method is developed to solve the problem of maximizing the power transmission capacity in a system of V-belt driving with polymorphic uncertainties. The problem is first formulated as an optimization model, where there are a non-linear objective function and some linear or non-linear constraints associated with some parameters which are of uncertain nature. These uncertain parameters are interval parameters, random interval parameters, fuzzy parameters, or fuzzy interval parameters. To find a robust solution of the problem, the model of polymorphic uncertainty is converted into a non-linear interval programming problem; then, for a given satisfaction level, an interval solution for the original model is found by the developed two-step based sampling method. The proposed method is applied into a real-world design problem of V-belt driving, and numerical results indicate that both the model and the developed algorithm are useful to solve the maximization problem of the capacity in the system of V-belt driving. |
| first_indexed | 2025-11-14T08:59:50Z |
| format | Journal Article |
| id | curtin-20.500.11937-39695 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:59:50Z |
| publishDate | 2012 |
| publisher | Professional Engineering Publishing Ltd.. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-396952017-03-08T13:11:59Z Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment Wan, Z. Zhang, S. Teo, Kok Lay In this article, a two-step based sampling method is developed to solve the problem of maximizing the power transmission capacity in a system of V-belt driving with polymorphic uncertainties. The problem is first formulated as an optimization model, where there are a non-linear objective function and some linear or non-linear constraints associated with some parameters which are of uncertain nature. These uncertain parameters are interval parameters, random interval parameters, fuzzy parameters, or fuzzy interval parameters. To find a robust solution of the problem, the model of polymorphic uncertainty is converted into a non-linear interval programming problem; then, for a given satisfaction level, an interval solution for the original model is found by the developed two-step based sampling method. The proposed method is applied into a real-world design problem of V-belt driving, and numerical results indicate that both the model and the developed algorithm are useful to solve the maximization problem of the capacity in the system of V-belt driving. 2012 Journal Article http://hdl.handle.net/20.500.11937/39695 Professional Engineering Publishing Ltd.. restricted |
| spellingShingle | Wan, Z. Zhang, S. Teo, Kok Lay Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment |
| title | Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment |
| title_full | Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment |
| title_fullStr | Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment |
| title_full_unstemmed | Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment |
| title_short | Two-step based sampling method for maximizing the capacity of V-belt driving in polymorphic uncertain environment |
| title_sort | two-step based sampling method for maximizing the capacity of v-belt driving in polymorphic uncertain environment |
| url | http://hdl.handle.net/20.500.11937/39695 |