次微米級微粒鋁基複材機械性質量測與分析

碩士 === 國立中正大學 === 機械工程學系暨研究所 === 102 === In this study, we establish a complete set of analytical to the new ultra-fine aluminum powder metallurgy composite materials.This material is compared to a pure aluminum,with a more excellent strength.by powder and different metallurgy processing,alumina di...

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Main Authors: Lai, Yen-Hsi, 賴彥希
Other Authors: Liu, De-Shin
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/71764111332243179531
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spelling ndltd-TW-102CCU004890612015-10-13T23:38:26Z http://ndltd.ncl.edu.tw/handle/71764111332243179531 次微米級微粒鋁基複材機械性質量測與分析 Lai, Yen-Hsi 賴彥希 碩士 國立中正大學 機械工程學系暨研究所 102 In this study, we establish a complete set of analytical to the new ultra-fine aluminum powder metallurgy composite materials.This material is compared to a pure aluminum,with a more excellent strength.by powder and different metallurgy processing,alumina disperses in the microstructure whit different type,and influence the material properties. Acoording to this Metal Matrix Composite(MMC) material,this study base on heterogeneous infinite element method(HIEM),which base on infinite element method(IEM),assembly with finite element method,to provides a convenient method of analysis.and possibly to discuss the interaction effects in each material in the microscopic scale,Compared with finite element method,the execution time in the modeling stage,the number of DOFs,and PC memory storage were significantly reduced by using heterogeneous infinite element method,Second,conduct with Gleeble thermal simulation and static tensile test,the result were discussed,and use those experimental result to predict artificial neural network(ANN),asses the relationship between material properties and powder size.When the neural network validation is complete,the network will be able to use in material properties prediction. Liu, De-Shin 劉德騏 2014 學位論文 ; thesis 86 zh-TW
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language zh-TW
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description 碩士 === 國立中正大學 === 機械工程學系暨研究所 === 102 === In this study, we establish a complete set of analytical to the new ultra-fine aluminum powder metallurgy composite materials.This material is compared to a pure aluminum,with a more excellent strength.by powder and different metallurgy processing,alumina disperses in the microstructure whit different type,and influence the material properties. Acoording to this Metal Matrix Composite(MMC) material,this study base on heterogeneous infinite element method(HIEM),which base on infinite element method(IEM),assembly with finite element method,to provides a convenient method of analysis.and possibly to discuss the interaction effects in each material in the microscopic scale,Compared with finite element method,the execution time in the modeling stage,the number of DOFs,and PC memory storage were significantly reduced by using heterogeneous infinite element method,Second,conduct with Gleeble thermal simulation and static tensile test,the result were discussed,and use those experimental result to predict artificial neural network(ANN),asses the relationship between material properties and powder size.When the neural network validation is complete,the network will be able to use in material properties prediction.
author2 Liu, De-Shin
author_facet Liu, De-Shin
Lai, Yen-Hsi
賴彥希
author Lai, Yen-Hsi
賴彥希
spellingShingle Lai, Yen-Hsi
賴彥希
次微米級微粒鋁基複材機械性質量測與分析
author_sort Lai, Yen-Hsi
title 次微米級微粒鋁基複材機械性質量測與分析
title_short 次微米級微粒鋁基複材機械性質量測與分析
title_full 次微米級微粒鋁基複材機械性質量測與分析
title_fullStr 次微米級微粒鋁基複材機械性質量測與分析
title_full_unstemmed 次微米級微粒鋁基複材機械性質量測與分析
title_sort 次微米級微粒鋁基複材機械性質量測與分析
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/71764111332243179531
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