2012Unpublished venueRequires access

Experimental Analysis of Thermal Energy Deburring Process by Design of Experiment

Ashley Virginia Fritz, Lisa Sekol, Jim Koroskenyi, Bill Walch, Jeff Minear, Vernon Fernandez, Liping Liu

Open publisher page 12 citations

Abstract

The present work aims to conduct an experimental study through Design of Experiment (DOE) to develop a better understanding of the important variables and their impact during the Thermal Energy Method deburring process. The designed experiment was based on an L9 orthogonal array using Taguchi method and tests were conducted with an S-250 Kennametal-Extrude Hone machine. The variables tested were the chamber pressure, fuel to oxygen ratio, burr thickness and material type of the specimen. Based on variance analysis, the chamber pressure was found to have the largest variance value and was therefore concluded to have the largest impact on the deburring process. A linear regression model was developed from the experiment which can help predict the deburring outcome based on various input parameters.

About this research paper

What this paper is about

The present work aims to conduct an experimental study through Design of Experiment (DOE) to develop a better understanding of the important variables and their impact during the Thermal Energy Method deburring process. The designed experiment was based on an L9 orthogonal array using Taguchi method and tests were conducted with an S-250 Kennametal-Extrude Hone machine. The variables tested were the chamber pressure, fuel to oxygen ratio, burr thickness and material type of the specimen. Based on variance analysis, the chamber pressure was found to have the largest variance value and was therefore concluded to have the largest impact on the deburring process. A linear regression model was developed from the experiment which can help predict the deburring outcome based on various input parameters.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The present work aims to conduct an experimental study through Design of Experiment (DOE) to develop a better understanding of the important variables and their impact during the Thermal Energy Method deburring process. The designed experiment was based on an L9 orthogonal array using Taguchi method and tests were conducted with an S-250 Kennametal-Extrude Hone machine. The variables tested were the chamber pressure, fuel to oxygen ratio, burr thickness and material type of the specimen. Based on variance analysis, the chamber pressure was found to have the largest variance value and was therefore concluded to have the largest impact on the deburring process. A linear regression model was developed from the experiment which can help predict the deburring outcome based on various input parameters.

Key concepts: Taguchi methods, Orthogonal array, Design of experiments, Process (computing), Energy (signal processing), Work (physics), Mechanical engineering, Regression analysis

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