Predicting high-speed milling dynamics using stereolithography

Stereolithographic (SL) models have been successfully utilized during product development and the early stages of process design. In this research, SL models were utilized to predict the natural frequencies of high-speed cutting tools. Most common practices utilize theoretical or numerical methods t...

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Main Author: Tola, Akale Merid
Other Authors: Weheba, Gamal
Format: Others
Language:en_US
Published: Wichita State University 2011
Subjects:
Online Access:http://hdl.handle.net/10057/3659
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spelling ndltd-WICHITA-oai-soar.wichita.edu-10057-36592013-04-19T21:00:25ZPredicting high-speed milling dynamics using stereolithographyTola, Akale MeridElectronic dissertationsStereolithographic (SL) models have been successfully utilized during product development and the early stages of process design. In this research, SL models were utilized to predict the natural frequencies of high-speed cutting tools. Most common practices utilize theoretical or numerical methods to evaluate tool designs by using simplifying assumptions. However, these results may fail to accurately predict stability limits of the machining system. This research developed a proactive approach for evaluating tool design, which minimizes the risk of ordering the wrong tool and sacrificing the most economic machining condition. Experiments have indicated that SL models correlate well with test results performed on actual machining systems. Consequently, SL models of selected tool designs were constructed and utilized to predict the dynamic characteristics and the stability limits of the machining system. Using stereolithographic models, practitioners can generate stability lobe diagrams and study tool design alternatives before producing or ordering a required tool.Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing EngineeringWichita State UniversityWeheba, Gamal2011-08-19T16:52:08Z2011-08-19T16:52:08Z20102010-12Dissertationxvi, 97 p.d10036http://hdl.handle.net/10057/3659en_USCopyright Akale Merid Tola, 2010. All rights reserved
collection NDLTD
language en_US
format Others
sources NDLTD
topic Electronic dissertations
spellingShingle Electronic dissertations
Tola, Akale Merid
Predicting high-speed milling dynamics using stereolithography
description Stereolithographic (SL) models have been successfully utilized during product development and the early stages of process design. In this research, SL models were utilized to predict the natural frequencies of high-speed cutting tools. Most common practices utilize theoretical or numerical methods to evaluate tool designs by using simplifying assumptions. However, these results may fail to accurately predict stability limits of the machining system. This research developed a proactive approach for evaluating tool design, which minimizes the risk of ordering the wrong tool and sacrificing the most economic machining condition. Experiments have indicated that SL models correlate well with test results performed on actual machining systems. Consequently, SL models of selected tool designs were constructed and utilized to predict the dynamic characteristics and the stability limits of the machining system. Using stereolithographic models, practitioners can generate stability lobe diagrams and study tool design alternatives before producing or ordering a required tool. === Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
author2 Weheba, Gamal
author_facet Weheba, Gamal
Tola, Akale Merid
author Tola, Akale Merid
author_sort Tola, Akale Merid
title Predicting high-speed milling dynamics using stereolithography
title_short Predicting high-speed milling dynamics using stereolithography
title_full Predicting high-speed milling dynamics using stereolithography
title_fullStr Predicting high-speed milling dynamics using stereolithography
title_full_unstemmed Predicting high-speed milling dynamics using stereolithography
title_sort predicting high-speed milling dynamics using stereolithography
publisher Wichita State University
publishDate 2011
url http://hdl.handle.net/10057/3659
work_keys_str_mv AT tolaakalemerid predictinghighspeedmillingdynamicsusingstereolithography
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