OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE

One of the applications of orthodontic appliances is made of metallic wire formed to retract a tooth with respect to another by means of the spring back effect. The special form of the spring (T-loop, mushroom, U-loop) results in force (F) and moment (M) in order to move the tooth in specified movem...

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Main Author: IDRIS (NIM : 23103012); Pembimbing : Dr. Ir. Rachman Setiawan; Dr. Ir. I Wayan Suweca, MUHAMMAD
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/16565
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:16565
spelling id-itb.:165652017-09-27T14:53:50ZOPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE IDRIS (NIM : 23103012); Pembimbing : Dr. Ir. Rachman Setiawan; Dr. Ir. I Wayan Suweca, MUHAMMAD Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16565 One of the applications of orthodontic appliances is made of metallic wire formed to retract a tooth with respect to another by means of the spring back effect. The special form of the spring (T-loop, mushroom, U-loop) results in force (F) and moment (M) in order to move the tooth in specified movement. Thus far, the selection of the geometry depends on the knowledge and experience of the orthodontist. In this thesis, an optimization approach to the retraction spring geometry selection was proposed and implemented based on knowledge based design methodology by using memetic algorithm method. In the methodology, the <br /> <br /> <br /> function sectional retraction characteristic is based on the numerical nonlinear analysis by ANSYS and have been validated to other research. In many cases, validation results in sufficient agreement between numerical and experimental method. Based on finite element analysis of two hundred of sampling that generated by using latin hypercube sampling method, the result from 2 cases study show that the methodology can be applied in orthodontics problems and give a good representation of characteristic for sectional retraction spring. The advantages of the methodology are efficiency in optimization process so that <br /> <br /> <br /> increasing the efficiency and effectiveness in orthodontic treatment. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description One of the applications of orthodontic appliances is made of metallic wire formed to retract a tooth with respect to another by means of the spring back effect. The special form of the spring (T-loop, mushroom, U-loop) results in force (F) and moment (M) in order to move the tooth in specified movement. Thus far, the selection of the geometry depends on the knowledge and experience of the orthodontist. In this thesis, an optimization approach to the retraction spring geometry selection was proposed and implemented based on knowledge based design methodology by using memetic algorithm method. In the methodology, the <br /> <br /> <br /> function sectional retraction characteristic is based on the numerical nonlinear analysis by ANSYS and have been validated to other research. In many cases, validation results in sufficient agreement between numerical and experimental method. Based on finite element analysis of two hundred of sampling that generated by using latin hypercube sampling method, the result from 2 cases study show that the methodology can be applied in orthodontics problems and give a good representation of characteristic for sectional retraction spring. The advantages of the methodology are efficiency in optimization process so that <br /> <br /> <br /> increasing the efficiency and effectiveness in orthodontic treatment.
format Theses
author IDRIS (NIM : 23103012); Pembimbing : Dr. Ir. Rachman Setiawan; Dr. Ir. I Wayan Suweca, MUHAMMAD
spellingShingle IDRIS (NIM : 23103012); Pembimbing : Dr. Ir. Rachman Setiawan; Dr. Ir. I Wayan Suweca, MUHAMMAD
OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE
author_facet IDRIS (NIM : 23103012); Pembimbing : Dr. Ir. Rachman Setiawan; Dr. Ir. I Wayan Suweca, MUHAMMAD
author_sort IDRIS (NIM : 23103012); Pembimbing : Dr. Ir. Rachman Setiawan; Dr. Ir. I Wayan Suweca, MUHAMMAD
title OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE
title_short OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE
title_full OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE
title_fullStr OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE
title_full_unstemmed OPTIMIZATION FOR SECTIONAL RETRACTION SPRING GEOMETRY SELECTION USING MEMETIC ALGORITHM WITH DATABASE
title_sort optimization for sectional retraction spring geometry selection using memetic algorithm with database
url https://digilib.itb.ac.id/gdl/view/16565
_version_ 1820745407624380416