The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)

Digital image correlation techniques (DICT), a non-contact deformation measuring technique based on gray value digital images, have become increasingly used over the last years. By using the DIC technique during a tensile test, the deformation behavior of different engineering material under an appl...

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Main Author: Armanjo, Jahanmehr
Format: Others
Language:English
Published: Högskolan i Jönköping, Tekniska Högskolan 2015
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28022
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spelling ndltd-UPSALLA1-oai-DiVA.org-hj-280222016-01-15T05:08:55ZThe influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)engArmanjo, JahanmehrHögskolan i Jönköping, Tekniska Högskolanj@armanjo.se2015Al-Si cast alloysAlSi7Mg0.3strontium modificationheat treatmentSDAS (Secondary Dendrite Arm Space)Aramisdigital image correlation technique (DICT)mechanical properties (ultimate tensile strengthoffset yield strength and elongation)plaster mould processesDigital image correlation techniques (DICT), a non-contact deformation measuring technique based on gray value digital images, have become increasingly used over the last years. By using the DIC technique during a tensile test, the deformation behavior of different engineering material under an applied load can be determined and analyzed. Digital images, acquired from a tensile test, can be correlated by using DICT software and from that the local or global mechanical properties can be calculated. The local or global mechanical properties determination of a flat test specimens are based on the displacements or changes in a previous stochastic sprayed or natural pattern. The used material for this purpose is cast silicon (Si) based aluminium (Al) component, designated as AlSi7Mg0.3 (Anticorodal-78 dv). The hypoeutectic Al- Si alloy is widely applicable for engine constructions, vehicle and aerospace constructions, shipbuilding, electrical engineering and constructions for food industry. There are many microstructural parameters in a binary system Al- Si alloys, which the mechanical properties can be depended on, for instance phase distribution, Secondary Dendrite Arm Spacing (SDAS), morphology of Si particles (Roundness) and microscopic defects or pores. All these parameters can contribute to enhance the proper mechanical performance (e.g. Strength and ductility) in the Al-Si cast components. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28022application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Al-Si cast alloys
AlSi7Mg0.3
strontium modification
heat treatment
SDAS (Secondary Dendrite Arm Space)
Aramis
digital image correlation technique (DICT)
mechanical properties (ultimate tensile strength
offset yield strength and elongation)
plaster mould processes
spellingShingle Al-Si cast alloys
AlSi7Mg0.3
strontium modification
heat treatment
SDAS (Secondary Dendrite Arm Space)
Aramis
digital image correlation technique (DICT)
mechanical properties (ultimate tensile strength
offset yield strength and elongation)
plaster mould processes
Armanjo, Jahanmehr
The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)
description Digital image correlation techniques (DICT), a non-contact deformation measuring technique based on gray value digital images, have become increasingly used over the last years. By using the DIC technique during a tensile test, the deformation behavior of different engineering material under an applied load can be determined and analyzed. Digital images, acquired from a tensile test, can be correlated by using DICT software and from that the local or global mechanical properties can be calculated. The local or global mechanical properties determination of a flat test specimens are based on the displacements or changes in a previous stochastic sprayed or natural pattern. The used material for this purpose is cast silicon (Si) based aluminium (Al) component, designated as AlSi7Mg0.3 (Anticorodal-78 dv). The hypoeutectic Al- Si alloy is widely applicable for engine constructions, vehicle and aerospace constructions, shipbuilding, electrical engineering and constructions for food industry. There are many microstructural parameters in a binary system Al- Si alloys, which the mechanical properties can be depended on, for instance phase distribution, Secondary Dendrite Arm Spacing (SDAS), morphology of Si particles (Roundness) and microscopic defects or pores. All these parameters can contribute to enhance the proper mechanical performance (e.g. Strength and ductility) in the Al-Si cast components.
author Armanjo, Jahanmehr
author_facet Armanjo, Jahanmehr
author_sort Armanjo, Jahanmehr
title The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)
title_short The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)
title_full The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)
title_fullStr The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)
title_full_unstemmed The influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using Digital Image Correlation Techniques (DICT)
title_sort influence of microstructural deformations and defects on mechanical properties in cast aluminium components by using digital image correlation techniques (dict)
publisher Högskolan i Jönköping, Tekniska Högskolan
publishDate 2015
url http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28022
work_keys_str_mv AT armanjojahanmehr theinfluenceofmicrostructuraldeformationsanddefectsonmechanicalpropertiesincastaluminiumcomponentsbyusingdigitalimagecorrelationtechniquesdict
AT armanjojahanmehr influenceofmicrostructuraldeformationsanddefectsonmechanicalpropertiesincastaluminiumcomponentsbyusingdigitalimagecorrelationtechniquesdict
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