Paramertic Optimization of in µ-Edm Using Anova Technique for Semi Circular Feature Generation

Autor:	Gurpreet Singh, P. S. Satsangi
Rok vydání:	2019
Předmět:	business.industry Computer science Pattern recognition Feature generation Artificial intelligence business
Zdroj:	IOP Conference Series: Materials Science and Engineering. 577:012038
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/577/1/012038
Popis:	Development of semi circular Feature and optimization of its process parameters is carried out in this paper. In the research work, Energy, RPM and Feed were taken as input parameters. The response parameters were selected as Material removal rate and Taper. From the main effect plot and S/N ratio graphs, it can be seen that energy and tool rotation are most significant parameter that affect taper. Energy is the only significant parameter that affects machining time. These results have been validated by ANOVA. The optimal combination of input parameters comes out be as energy as 2645μ joules, Tool rotation as 600 rpm and feed rate as 1mm/m. This combination gave the value of material removal rate and taper as 0.0690088 mm3/m and 1.63024° respectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::befaf89d0980355d4eaebec4272272ab https://doi.org/10.1088/1757-899x/577/1/012038 Zobrazit plný text záznamu