PROCESS PARAMETERS OPTIMIZATION OF CNC TURNING MACHINE FOR ALUMINIUM ALLOY USING TAGUCHI METHOD
| Autor: | Vivek Kshirsagar, Vishudha Saxena, Himanshu Sonar, Shraddha P. Deshpande |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering drawing Engineering Polynomial Cutting tool business.industry Mechanical engineering 02 engineering and technology 021001 nanoscience & nanotechnology Taguchi methods 020901 industrial engineering & automation Machining visual_art Aluminium alloy visual_art.visual_art_medium Surface roughness Systems design Orthogonal array 0210 nano-technology business |
| Zdroj: | International Journal of Research in Engineering and Technology. :36-39 |
| ISSN: | 2319-1163 2321-7308 |
| DOI: | 10.15623/ijret.2016.0504008 |
| Popis: | In modern machining industries the challenge arises for manufacturing good quality product which is also cost effective. Turning is a major machining operation which is removing of material from the surface of rotating cylindrical work piece. Material removing rate and surface roughness are two important aspects concerning the quality of turning operation. In this paper Taguchi method is studied and implemented for system design and process parameters design such as selecting depth of cut, feed rate and speed of CNC turning machine for aluminium alloy. There are four parameters with three different suitable levels and based on this the orthogonal array was selected (L9). Nine runs were carried out using three different cutting tool insert with reference to the orthogonal array selected. The target material used in this paper was Al6061 T6. Result and analysis was carried out using regression modeling and polynomial equations were generated and optimum machining parameters were determined. Using this polynomial equation the surface roughness and material removing rate can be predicted. |
| Databáze: | OpenAIRE |
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