Abstract
The development and the implementation of nano-lubricants together with the use of numerical approach for prediction and optimization in the machining process is state of the art in the manufacturing of engineering and structural component. This study has reviewed the application of the development of nano lubricants, and the implementation of various optimization techniques for advanced manufacturing systems. Numeral approaches in machining process is a viable process that manufacturers use to produce different parts employed to develop machines. However, the challenge of the CNC system is cutting fluid application due to excess heat generation during the cutting process. Therefore, the review of various nano lubricants development and implementation in the milling, turning, and grinding processes were studied in this chapter. Also, the chapter discusses the modern optimization techniques via design experts such as response surface methodology, Taguchi method, Full Factorial design and Plackett–Burman Design.
| Original language | English |
|---|---|
| Title of host publication | Studies in Systems, Decision and Control |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 41-60 |
| Number of pages | 20 |
| DOIs | |
| Publication status | Published - 2023 |
Publication series
| Name | Studies in Systems, Decision and Control |
|---|---|
| Volume | 485 |
| ISSN (Print) | 2198-4182 |
| ISSN (Electronic) | 2198-4190 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Cutting fluid classification
- Machining
- Modern Multi-Objective Optimization
- Nano-Lubricant
- Responsesurface methodology
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Control and Systems Engineering
- Automotive Engineering
- Social Sciences (miscellaneous)
- Economics, Econometrics and Finance (miscellaneous)
- Control and Optimization
- Decision Sciences (miscellaneous)
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