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Your search on keyword:zinc alloys found these results. 1 to 10 of 48 records in 5.97s



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Solute and temperature effects on the strain hardening behaviour of Mg-Zn solid solutions

Author/Creator: Caceres, C.H., Blake, A.H.
Resource type:
Date: 2008
Subject: Forest hardening, Magnesium, Magnesium-zinc alloys, Solid solution hardening
Record contributed by: The University of Queensland

Full Record and related resources:
http://espace.library.uq.edu.au/view/UQ:175085
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isMemberOf Faculty of Engineering, Architecture and Information Technology Publications http://espace.library.uq.edu.au/list/UQ:12335
isMemberOf School of Mechanical & Mining Engineering Publications http://espace.library.uq.edu.au/list/UQ:195548
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Publisher: Trans Tech Publications
Contributor: Pavel Ε andera

Coverage: 2008-01-01T00:00:00Z
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Clustering and precipitation processes in age-hardened Al-Zn-Mg-(Ag, Cu) alloys

Author/Creator: Caraher, Sally Kate, 1974-
Date: 2002
Subject: Cluster analysis, Precipitation (Chemistry), Transmission electron microscopy, Atom-probe field ion microscopy, Hardness, Alloys -- Hardenability, Aluminum alloys -- Hardenability, Zinc alloys -- Hardenability, Magnesium alloys -- Hardenability, Silver alloys -- Hardenability, Copper alloys -- Hardenability
Record contributed by: Australasian Digital Theses Program, Monash University

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http://arrow.monash.edu.au/hdl/1959.1/7803
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Publisher: Monash University, School of Physics and Materials Engineering

Language: en
Rights: Copyright 2002. Sally Kate Caraher
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Clustering and precipitation processes in age-hardened Al-Zn-Mg-(Ag, Cu) alloys

Author/Creator: Caraher, Sally Kate,1974-
Date: 2002
Subject: Cluster analysis, Precipitation (Chemistry), Transmission electron microscopy, Atom-probe field ion microscopy, Hardness, Alloys -- Hardenability, Aluminum alloys -- Hardenability, Zinc alloys -- Hardenability, Magnesium alloys -- Hardenability, Silver alloys -- Hardenability, Copper alloys -- Hardenability
Record contributed by: Australasian Digital Theses Program

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http://arrow.monash.edu.au/hdl/1959.1/8243
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For thesis abstract select View Thesis Title, Contents and Abstract

Publisher: Monash University, School of Physics and Materials Engineering

Language: en
Rights: © 2002. Sally Kate Caraher
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The role of zinc in the eutectic solidification of magnesium-aluminium-zinc alloys

Author/Creator: Nave, M., Dahle, A. K., St John, D. H.
Resource type:
Date: 2000
Subject: No Subjects
Record contributed by: The University of Queensland

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http://espace.library.uq.edu.au/view/UQ:147175
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Publisher: The Minerals, Metals & Materials Society
Contributor: H. I. Kaplan; J. N. Hryn; B. B. Clow

Coverage: 2000-01-01T00:00:00Z
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Understanding the crystallography of the eutectoid microstructure in a Zn-Al alloy using the edge-to-edge matching model

Author/Creator: Zhang, MX, Kelly, PM
Resource type:
Date: 2006
Subject: Physical Metallurgy (291302), Other non-ferrous metals (e.g. copper, zinc) (670899), Edge-to-edge Matching, Zn-al Alloy, Phase Transformation, Crystallography, Orientation Relationships, Widmanstatten Cementite, Zinc-alloys, O-lattice, Precipitation, Martensite, Austenite, Misfit, Nanoscience & Nanotechnology, Materials Science, Multidisciplinary, Metallurgy & Metallurgical Engineering
Record contributed by: The University of Queensland

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http://espace.library.uq.edu.au/view/UQ:81217
isMemberOf Excellence in Research Australia (ERA) - Collection http://espace.library.uq.edu.au/list/UQ:152266
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Description
The orientation relationship (OR) between the beta(Zn) phase and the alpha(Al) phase and the corresponding habit planes in a Zn-Al eutectoid alloy were accurately determined using convergent beam Kikuchi line diffraction patterns. In addition to the previously reported OR. [11 (2) over bar0](beta)parallel to[110](alpha), (0002)(beta)parallel to ((1) over bar 11)alpha, two new ORs were observed. They are: [11 (2) over bar0](beta)parallel to [110], ((1) over bar 101)(beta) 0.82 degrees from (002)(alpha) and [(1) over bar 100](beta)parallel to[112](alpha), (0002)(beta) 4.5 degrees from (111)(alpha). These ORs can be explained and understood using the recently developed edge-to-edge matching model. (c) 2006 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

Publisher: Pergamon-Elsevier Science Ltd
Contributor: Horst Hahn

Coverage: 2006-01-01T00:00:00Z
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The orientation relationship (OR) between the beta(Zn) phase and the alpha(Al) phase and the corresponding habit planes in a Zn-Al eutectoid alloy were accurately determined using convergent beam Kikuchi line diffraction patterns. In addition to the previously ...
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Prediction of die casting process parameters by using an artificial neural network model for zinc alloys

Author/Creator: Yarlagadda, Prasad K.
Resource type: journal article
Date: 2000
Subject: Manufacturing Processes and Technologies (excl. Textiles) (091006)
Record contributed by: Queensland University of Technology

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http://eprints.qut.edu.au/6436/
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Pressure die casting is an important production process. In pressure die casting, the ® rst setting of process parameters is established through guess work. Experts use their previous experience and knowledge to develop a solution for a new application. Due to rapid expansion in the die casting process to produce better quality products in a short period of time, there is ever increasing demand to replace the time-consuming and expert-reliant traditional trial and error methods of establishing process parameters. A neural network system is developed to generate the process parameters for the pressure die casting process. The system aims to replace the existing high-cost, time-consuming and expertdependent trial and error approach for determining the process parameters. The scope of this work includes analysing a physical model of the pressure die casting ® lling stage based on governing equations of die cavity ® lling and the collection of feasible casting data for the training of the network. The training data were generated by using ZN-DA3 material on a hot chamber die casting machine with a plunger diameter of 60 mm. The present network was developed using the MATLAB application toolbox. In this work, the neural network was developed by comparing three di€ erent training algorithms: i.e. error backpropagation algorithm; momentum and adaptive learning algorithm; and Levenberg± Marquardt approximation algorithm. It was found that the Levenberg± Marquardt approximation algorithm was the preferred method for this application as it reduced the sum-squared error to a small value. The accuracy of the developed network was tested by comparing the data generated fromthe network with those of an expert froma local die casting industry. It was established that by using this network the selection of process parameters becomes much easier, so that it can be used by a novice user without prior knowledge of the die casting process or optimization techniques. 1. Introduction Pressure die casting is an important production process that is extensively used to produce castings for the electrical, electronic and automobile industries. The process has its origins in type casting machines developed in 1822. The process showed its production potential as early as the mid 1800s when it had reached a high level of automation and mechanical efficiency. In 1894, the ® rst die casting machine was developed, in which molten metal was forced through an inclined port and out of the nozzle into the die by the central ram actuated by a lever. During the past two decades, the pressure die casting process has become an essential casting production process for the engineering industry. High production rate, excellent surface ® nish and good mechanical properties of the ® n- Revision received March 1999.

Publisher: Taylor & Francis
Relation: DOI:10.1080/002075400189617; Yarlagadda, Prasad K. (2000) Prediction of die casting process parameters by using an artificial neural network model for zinc alloys. International Journal of Production Research, 38(1). pp. 119-139.

Rights: Copyright 2000 Taylor & Francis; First published in International Journal of Production Research 38(1):pp. 119-139.
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Pressure die casting is an important production process. In pressure die casting, the ® rst setting of process parameters is established through guess work. Experts use their previous experience and knowledge to develop a solution for a new application. ...
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Hot tearing in aluminium-zinc binary alloys: a comparison between experimental and modelling results

Author/Creator: Viano, D.M., Spittle, J.A., Brown, S.G.R., St John, D.H.
Resource type:
Date: 2007
Subject: No Subjects
Record contributed by: The University of Queensland

Full Record and related resources:
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isMemberOf Excellence in Research Australia (ERA) - Collection http://espace.library.uq.edu.au/list/UQ:152266
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Publisher: Department of Engineering Materials, University of Sheffield
Contributor: Jones, H.

Coverage: 2007-01-01T00:00:00Z
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Effects of zinc on the corrosion resistance of anodised coating on Mg-Zn alloys

Author/Creator: Shi, Z., Song, G., Atrens, A.
Resource type:
Date: 2003
Subject: No Subjects
Record contributed by: The University of Queensland

Full Record and related resources:
http://espace.library.uq.edu.au/view/UQ:99994
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Publisher: CRC for Cast Metals Manufacturing
Contributor: A. Dahle

Coverage: 2003-01-01T00:00:00Z
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Characterisation of the structure and properties of arc welded zinc alloy coated sheet steels

Author/Creator: Chen, Yan Wang Subject: No Subjects
Record contributed by: Australasian Digital Theses Program, University of Wollongong

Full Record and related resources:
http://ro.uow.edu.au/theses/1821
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Publisher: Faculty of Engineering

Source: University of Wollongong Thesis Collection
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