Abstract
Ultrasonic machining is a well-known advanced machining process to machine typical shapes, holes, and micro-features in hard and brittle materials. Interventions of multi-criteria decision-making techniques are required to optimize the process parameters for better part quality, productivity, and sustainability of this type of advanced processes. Implementation of integrated fuzzy–MCRA (multi-criteria ranking analysis) for modeling and optimization of ultrasonic machining process to improve material removal rate and dimensional accuracy during machining of zirconia composites is discussed in this chapter. Investigation results indicate effectiveness of this technique for multi-objective optimization of ultrasonic machining parameters to produce high-quality parts made of composites with excellent productivity.
| Original language | English |
|---|---|
| Title of host publication | SpringerBriefs in Applied Sciences and Technology |
| Publisher | Springer Verlag |
| Pages | 45-57 |
| Number of pages | 13 |
| DOIs | |
| Publication status | Published - 2019 |
Publication series
| Name | SpringerBriefs in Applied Sciences and Technology |
|---|---|
| ISSN (Print) | 2191-530X |
| ISSN (Electronic) | 2191-5318 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Ceramic
- Geometric accuracy
- MRR
- Optimization
- Ultrasonic machining
ASJC Scopus subject areas
- Biotechnology
- General Chemical Engineering
- General Mathematics
- General Materials Science
- Energy Engineering and Power Technology
- General Engineering
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