Optimization of Multi-objective Response during CNC Turning Using Taguchi-fuzzy Application
| Autor: | Surendra Kumar Saini, Sharad K. Pradhan |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Engineering
business.industry Aluminium alloy Process (computing) Mechanical engineering Taguchi-Fuzzy application General Medicine Process variable multi-objective response Fuzzy logic Manufacturing engineering CNC parameters optimization Taguchi methods Machining carbide tool Surface roughness Orthogonal array business Objective response Engineering(all) |
| Zdroj: | Procedia Engineering. 97:141-149 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2014.12.235 |
| Popis: | In present scenario CNC turning operation plays a vital role in metal based manufacturing industries. Therefore selection of optimum machining parameters, Tool geometry and cutting condition etc. for the variety of materials is an important and complicated task for the manufacturing industries in providing best quality at less cost to the customers. In this research work CNC turning operation is carried out using L27 Taguchi orthogonal arrays on Aluminum alloy 8011with carbide insert and influence of CNC turning process parameters like Cutting Speed, Feed and Depth of Cut are analyzed for two output objectives like material removal rate and surface roughness. The optimum sets of turning process parameter as well as combined effect of considered response are estimated using Taguchi-Fuzzy application. In this analysis it is found that feed is the most significant process parameter followed by depth of cut and cutting speed on the selected response parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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