EFFECT OF DRILING PARAMETERS ON HOLE POSITION TOLERANCES
By: Pakalapati, Ramya.
Contributor(s): Kondapalli, Siva Prasad.
Publisher: Noida STM Journals 2018Edition: Vol.8(2), May-Aug.Description: 51-61p.Subject(s): Mechanical EngineeringOnline resources: Click here In: Recent trends in mechanical engineering & technology (TMET)Summary: Drilling is one of the important machining process widely used in all type of industry. In aerospace industry the drill hole dimensions are very critical and one has to control the drilling parameters to maintain the desired hole characteristics. In the present project work, focus is made to study the effect of drilling parameters namely spindle speed, feed and drill diameter on Cylindricity, Circularity, Concentricity along X axis and Concentricity along Y axis. Response Surface Method (RSM) based Central Composite Design (CCD) matrix is used to decide the number of experiments. Three factor, three levels are used and total 20 experiments are performed. Empirical mathematical models are developed for the output responses considering significant parameters. Analysis of Variance (ANOVA) is performed for 95% confidence level. Scatter plots are drawn to study the variation of actual and predicted values. Contour plots are studied to indentify the most dominating parameters effecting the output responses.Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database | School of Engineering & Technology Archieval Section | Not for loan | 2020448 |
Drilling is one of the important machining process widely used in all type of industry. In aerospace industry the drill hole dimensions are very critical and one has to control the drilling parameters to maintain the desired hole characteristics. In the present project work, focus is made to study the effect of drilling parameters namely spindle speed, feed and drill diameter on Cylindricity, Circularity, Concentricity along X axis and Concentricity along Y axis. Response Surface Method (RSM) based Central Composite Design (CCD) matrix is used to decide the number of experiments. Three factor, three levels are used and total 20 experiments are performed. Empirical mathematical models are developed for the output responses considering significant parameters. Analysis of Variance (ANOVA) is performed for 95% confidence level. Scatter plots are drawn to study the variation of actual and predicted values. Contour plots are studied to indentify the most dominating parameters effecting the output responses.
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