Minimum Quantity Lubrication: Quantifying Non-Deterministic Component Of Sustainability Index For Machining Operations
Sustainable manufacturing is pursued to achieve the long-term sustainable development of manufacturing systems. In practice, the sustainability of any system is difficult to assess because of uncertain factors involved in the sustainability study. Experts have defined a sustainability index in order...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2016
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/14467/ http://umpir.ump.edu.my/id/eprint/14467/ http://umpir.ump.edu.my/id/eprint/14467/ http://umpir.ump.edu.my/id/eprint/14467/1/Minimum%20quantity%20lubrication-%20Quantifying%20non-deterministic%20component.pdf |
| Summary: | Sustainable manufacturing is pursued to achieve the long-term sustainable development of manufacturing systems. In practice, the sustainability of any system is difficult to assess because of uncertain factors involved in the sustainability study. Experts have defined a sustainability index in order to define any system. This sustainability index consists of two components, namely the deterministic component and non-deterministic component. The nondeterministic component consists of the contributing factors of societal, environmental, and economic effects. On account of the uncertainties involved and the non-quantifiable nature of the non-deterministic component, fuzzy logic is used to assess the non-deterministic component. In this paper the nondeterministic component of the sustainability index for a machining process with
Minimal Quantity Lubrication is calculated using fuzzy logic. The basic objective of this study is to quantify the non-deterministic component of the sustainability index by using a fuzzy rule-based model for the anticipation and functional analysis of machining with minimal quantity lubrication. |
|---|