CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.

The focus in the development of the world of transportation on passenger safety leads to the design of lightweight components with efficient crashworthiness. Many crashworthiness analyzes have been carried out through thin-walled column structures with the addition of other structures into the space...

Full description

Saved in:
Bibliographic Details
Main Author: Fadhlin Azhiim, Ahmad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70639
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:70639
spelling id-itb.:706392023-01-18T10:30:52ZCRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION. Fadhlin Azhiim, Ahmad Indonesia Final Project Crashworthiness, Lattice structure, Specific Energi Absorption, Twisted, taguchi’s method. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70639 The focus in the development of the world of transportation on passenger safety leads to the design of lightweight components with efficient crashworthiness. Many crashworthiness analyzes have been carried out through thin-walled column structures with the addition of other structures into the space. The addition of a lattice structure to a thin-walled column is one way to increase Specific Energy Absorption (SEA). Therefore, the energy absorption ability will be evaluated using the finite element method to find the optimum SEA value. Optimization of thin-walled columns with the addition of lattice can be done using the Taguchi method to determine the best design configuration for large SEA. There are four control factors (lattice geometric shape, number of lattice cells, lattice diameter, and thickness of thin-walled columns) and three levels for each factor that will be used in the optimization process. Analysis of Variance (ANOVA) was performed with the output in the form of sensitivity of the structure to each control factor. Lattice geometric shapes in the optimization process use three levels, namely BCC, Twisted, and Cubic. In addition, the number of cells uses three levels, namely 3 cells, 4 cells, and 5 cells. The ANOVA results show that the geometric shape is the parameter with the largest contribution to the SEA value in the optimization process. The configuration resulting from the optimization chosen is a Twisted-shaped lattice with a total of 4 cells with a diameter of 4 mm and using 2 mm thickness of thin-bonded columns. The simulation results show that the optimized model produces a SEA of 45.82 kJ/kg. The SEA value has increased by 221% from the baseline model, this indicates that changing the Twisted geometry into thin-walled columns can be an option to increase the SEA value. 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 The focus in the development of the world of transportation on passenger safety leads to the design of lightweight components with efficient crashworthiness. Many crashworthiness analyzes have been carried out through thin-walled column structures with the addition of other structures into the space. The addition of a lattice structure to a thin-walled column is one way to increase Specific Energy Absorption (SEA). Therefore, the energy absorption ability will be evaluated using the finite element method to find the optimum SEA value. Optimization of thin-walled columns with the addition of lattice can be done using the Taguchi method to determine the best design configuration for large SEA. There are four control factors (lattice geometric shape, number of lattice cells, lattice diameter, and thickness of thin-walled columns) and three levels for each factor that will be used in the optimization process. Analysis of Variance (ANOVA) was performed with the output in the form of sensitivity of the structure to each control factor. Lattice geometric shapes in the optimization process use three levels, namely BCC, Twisted, and Cubic. In addition, the number of cells uses three levels, namely 3 cells, 4 cells, and 5 cells. The ANOVA results show that the geometric shape is the parameter with the largest contribution to the SEA value in the optimization process. The configuration resulting from the optimization chosen is a Twisted-shaped lattice with a total of 4 cells with a diameter of 4 mm and using 2 mm thickness of thin-bonded columns. The simulation results show that the optimized model produces a SEA of 45.82 kJ/kg. The SEA value has increased by 221% from the baseline model, this indicates that changing the Twisted geometry into thin-walled columns can be an option to increase the SEA value.
format Final Project
author Fadhlin Azhiim, Ahmad
spellingShingle Fadhlin Azhiim, Ahmad
CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.
author_facet Fadhlin Azhiim, Ahmad
author_sort Fadhlin Azhiim, Ahmad
title CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.
title_short CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.
title_full CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.
title_fullStr CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.
title_full_unstemmed CRASHWORTHINESS OPTIMIZATION USING THIN-WALLED COLUMN WITH THE ADDITION OF LATTICE STRUCTURE FOR IMPACT ENERGY ABSORPTION.
title_sort crashworthiness optimization using thin-walled column with the addition of lattice structure for impact energy absorption.
url https://digilib.itb.ac.id/gdl/view/70639
_version_ 1822991665315446784