Harnessing Structural Optimization Techniques for Developing Efficient Light-Weight Vehicles

Author(s):  
Srinivasan Laxman ◽  
Raj Mohan Iyengar ◽  
Shawn Morgans ◽  
Rama Koganti
Author(s):  
Raj Mohan Iyengar ◽  
Srinivasan Laxman ◽  
Shawn Morgans ◽  
Ramakrishna Koganti

Developing automotive vehicles and components to achieve light-weight designs and to meet design targets on structural stiffness, modal frequencies, durability, and crashworthiness, can no longer be driven by a “trial-and-error” strategy. Structural optimization tools provide the necessary analyses during the initial stages of vehicle development to arrive at the most efficient and effective designs. In this paper, we illustrate the importance of topological and gage optimization in achieving mass reduction without compromising on the structural requirements through two design examples.


Author(s):  
Manas Metar

Abstract: Weight reduction techniques have been practiced by automobile manufacturers for the purpose of long range, less fuel consumption and achieving higher speeds. Due to the numerous set objectives that must be met, especially with respect to of car safety, automotive chassis design for vehicle weight reduction is a difficult task. In passenger classed vehicles using a monocoque chassis for vehicle construction has been a great solution for reducing overall wight of the vehicle body yet the structure is more stiffened and sturdier. However, some parts such as A-pillar, B-pillar, roof structure, floor pan can be further optimized to reduce more weight without affecting the strength needed for respective purposes. In this paper, the main focus is on reducing weight of the B-pillar. The B-pillar of a passenger car has been optimized using topology optimization and optimum weight reduction has been done. The modelling and simulation are done using SOLIDWORKS 3D software. The B-pillar in this study has been subjected to a static load of 140 KN. Further by providing goals and constraints the optimization was caried out. The results of Finite Element Analysis (FEA) of the original model are explained. The Topology Optimization resulted in reducing 53% of the original weight of the B-pillar. Keywords: Structural optimization techniques, weight reduction techniques, weight reduction technologies, need for weight reduction, Topology optimization, B-pillar design, structural optimization of B-pillar, Topology optimization of B-pillar.


1994 ◽  
Vol 116 (4) ◽  
pp. 997-1004 ◽  
Author(s):  
M. Chirehdast ◽  
H.-C. Gea ◽  
N. Kikuchi ◽  
P. Y. Papalambros

Structural optimization procedures usually start from a given design topology and vary proportions or boundary shapes of the design to achieve optimality of an objective under various constraints. This article presents examples of the application of a novel approach for initiating formal structural optimization at an earlier stage, where the design topology is rigorously generated. A three-phase design process is used. In Phase I, an optimal initial topology is created by a homogenization method as a gray-scale image. In Phase II, the image is transformed to a realizable design using computer vision techniques. In Phase III, the design is parameterized and treated in detail by conventional size and shape optimization techniques. Fully-automated procedures for optimization of two-dimensional solid structures are outlined, and several practical design problems for this type of structures are solved using the proposed procedure, including a crane hook and a bicycle frame.


2020 ◽  
Vol 62 (3) ◽  
pp. 242-250 ◽  
Author(s):  
Ayhan Balkan ◽  
Ali Rıza Yıldız ◽  
Sadiq M. Sait ◽  
Sujin Bureerat

Author(s):  
Mehran Chirehdast ◽  
Hae Chang Gea ◽  
Noboru Kikuchi ◽  
Panos Y. Papalambros

Abstract Structural optimization procedures usually start from a given design topology and vary proportions or boundary shapes of the design to achieve optimality of an objective under various constraints. This article presents examples of the application of a novel approach for initiating formal structural optimization at an earlier stage, where the design topology is rigorously generated. A three-phase design process is used. In Phase I, an optimal initial topology is created by a homogenization method as a gray-scale image. In Phase II, the image is transformed to a realizable design using computer vision techniques. In Phase III, the design is parameterized and treated in detail by conventional size and shape optimization techniques. Fully-automated procedures for optimization of two-dimensional solid structures are outlined, and several practical design problems for this type of structures are solved using the proposed procedure, including a crane hook and a bicycle frame.


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