Fatigue Life Prediction For Small Component Welds

Almost all mechanical structures that adopts weld joints as connection method is susceptible to fatigue failure when operating load is applied repeatedly. In semi-automatic honeycomb cookies dipping machine, the weld components connecting rose-shaped mould to the moulding frame becomes the most crit...

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Main Author: Yusman, Muhammad Syafiq Farhan
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2022
Subjects:
Online Access:http://eprints.usm.my/55676/
http://eprints.usm.my/55676/1/Fatigue%20Life%20Prediction%20For%20Small%20Component%20Welds_Muhammad%20Syafiq%20Farhan%20Yusman.pdf
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author Yusman, Muhammad Syafiq Farhan
author_facet Yusman, Muhammad Syafiq Farhan
author_sort Yusman, Muhammad Syafiq Farhan
building USM Institutional Repository
collection Online Access
description Almost all mechanical structures that adopts weld joints as connection method is susceptible to fatigue failure when operating load is applied repeatedly. In semi-automatic honeycomb cookies dipping machine, the weld components connecting rose-shaped mould to the moulding frame becomes the most critical location in the structure since the mould tend to be detached from the frame after long operational time resulting in reduction of manufacturing quantity. The suspected causes of this problem are due to vibration fatigue and thermal fatigue. Vibration fatigue is resulting from repetitive shaking process whereas thermal fatigue resulting from repetitive thermal changes during dipping and frying process. By applying finite element method (FEM) using ANSYS Mechanical software, simulations for both scenarios have been conducted to study the fatigue behavior of weld components on moulding frame structure. At the end of this study, the results show that the thermal fatigue is the main factor to the failure that occurs on the weld components. The maximum stress that occurs on the moulding frame structure due to vibration is 12.6 MPa. The stress magnitude is too low to induce fatigue damage since it far below the fatigue endurance limit of materials applied. The results for thermal fatigue analysis show that the moulding frame with 4 weld joints is the most critical in the whole moulding frame structure. The minimum fatigue life for this model is 21 cycles of dipping and frying process. Furthermore, the graphical approach of fatigue life prediction at any stress value has been achieved by plotting the stress-life (S-N) results for all moulding frame models. An experimental study will be required to support the reliability of the results obtained from the simulation since a few parameters that naturally occur on experimental approach such as welding flaws cannot be included in simulation.
first_indexed 2025-11-15T18:46:11Z
format Monograph
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institution Universiti Sains Malaysia
institution_category Local University
language English
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publishDate 2022
publisher Universiti Sains Malaysia
recordtype eprints
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spelling usm-556762022-11-16T04:46:11Z http://eprints.usm.my/55676/ Fatigue Life Prediction For Small Component Welds Yusman, Muhammad Syafiq Farhan T Technology TJ Mechanical engineering and machinery Almost all mechanical structures that adopts weld joints as connection method is susceptible to fatigue failure when operating load is applied repeatedly. In semi-automatic honeycomb cookies dipping machine, the weld components connecting rose-shaped mould to the moulding frame becomes the most critical location in the structure since the mould tend to be detached from the frame after long operational time resulting in reduction of manufacturing quantity. The suspected causes of this problem are due to vibration fatigue and thermal fatigue. Vibration fatigue is resulting from repetitive shaking process whereas thermal fatigue resulting from repetitive thermal changes during dipping and frying process. By applying finite element method (FEM) using ANSYS Mechanical software, simulations for both scenarios have been conducted to study the fatigue behavior of weld components on moulding frame structure. At the end of this study, the results show that the thermal fatigue is the main factor to the failure that occurs on the weld components. The maximum stress that occurs on the moulding frame structure due to vibration is 12.6 MPa. The stress magnitude is too low to induce fatigue damage since it far below the fatigue endurance limit of materials applied. The results for thermal fatigue analysis show that the moulding frame with 4 weld joints is the most critical in the whole moulding frame structure. The minimum fatigue life for this model is 21 cycles of dipping and frying process. Furthermore, the graphical approach of fatigue life prediction at any stress value has been achieved by plotting the stress-life (S-N) results for all moulding frame models. An experimental study will be required to support the reliability of the results obtained from the simulation since a few parameters that naturally occur on experimental approach such as welding flaws cannot be included in simulation. Universiti Sains Malaysia 2022-07-24 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/55676/1/Fatigue%20Life%20Prediction%20For%20Small%20Component%20Welds_Muhammad%20Syafiq%20Farhan%20Yusman.pdf Yusman, Muhammad Syafiq Farhan (2022) Fatigue Life Prediction For Small Component Welds. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (Submitted)
spellingShingle T Technology
TJ Mechanical engineering and machinery
Yusman, Muhammad Syafiq Farhan
Fatigue Life Prediction For Small Component Welds
title Fatigue Life Prediction For Small Component Welds
title_full Fatigue Life Prediction For Small Component Welds
title_fullStr Fatigue Life Prediction For Small Component Welds
title_full_unstemmed Fatigue Life Prediction For Small Component Welds
title_short Fatigue Life Prediction For Small Component Welds
title_sort fatigue life prediction for small component welds
topic T Technology
TJ Mechanical engineering and machinery
url http://eprints.usm.my/55676/
http://eprints.usm.my/55676/1/Fatigue%20Life%20Prediction%20For%20Small%20Component%20Welds_Muhammad%20Syafiq%20Farhan%20Yusman.pdf