Topology Optimization of Automotive sheet metal part using Altair Inspire

In an optimization problem, different candidate solutions are compared with each other, and then the best or optimal solution is obtained which means that solution quality is fundamental. Topology optimization is used at the concept stage of design. It deals with the optimal distribution of material within the structure. Altair Inspire software is the industry's most powerful and easy-to-use Generative Design/Topology Optimization and rapid simulation solution for design engineers. In this paper Topology optimization is applied using Altair inspire to optimize the Sheet metal Angle bracket. Different results are conducted the better and final results are fulfilling the goal of the paper which is minimizing the mass of the sheet metal part by 65.9% part and Maximizing the stiffness with Better Results of Von- Miss Stress Analysis, Displacement, and comparison with different load cases. This can lead to reduced costs, development time, material consumption, and product less weight.

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Direct Optimization of an Automotive Sheet Metal Part Using ANSYS

International Journal of Engineering and Management Sciences ◽

10.21791/ijems.2020.3.14 ◽

2020 ◽

Vol 5 (3) ◽

pp. 134-142

Author(s):

Usman Khalid ◽

Othman Mohammad Ahmed Mustafa ◽

Muhammad Ali Naeem ◽

Mohammad Yousef Mohammad Alkhateeb ◽

Basil Marwan Abed Eljaber Awad

Keyword(s):

Sheet Metal ◽

Sheet Thickness ◽

Cost Effective ◽

Sheet Metal Part ◽

Metal Part ◽

Direct Optimization ◽

Element Analysis ◽

Automotive Sheet ◽

Automotive Parts ◽

The Cost

Optimization of automotive parts nowadays is mainly used to design lightweight and cost-effective vehicle parts in order to improve the cost and efficiency. In this research, a sheet metal part was taken into consideration and optimized using direct optimization module in ANSYS to evaluate the process. An initial Finite Element Analysis (FEA) was done on the sheet metal part by adding forces and constraints in order to initiate direct optimization. The purpose of the optimization is to minimize the mass of the sheet metal part and maintaining a certain Factor of Safety (FOS) by automatically modifying the sheet thickness and the dimension of the side holes. As a result, the best candidate point with 23% mass reduction was found which complied with FOS value was selected for optimal geometry.

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Optimization of draw-in for an automotive sheet metal part

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2004.06.011 ◽

2005 ◽

Vol 159 (3) ◽

pp. 426-434 ◽

Cited By ~ 63

Author(s):

T. Jansson ◽

A. Andersson ◽

L. Nilsson

Keyword(s):

Sheet Metal ◽

Sheet Metal Part ◽

Metal Part ◽

Automotive Sheet

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A New Stretch-Forming Process Based on Loading at Discrete Points and its Numerical Investigation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.423-426.737 ◽

2013 ◽

Vol 423-426 ◽

pp. 737-740

Author(s):

Zhong Yi Cai ◽

Mi Wang ◽

Chao Jie Che

Keyword(s):

Sheet Metal ◽

Three Dimensional ◽

Discrete Point ◽

Stretch Forming ◽

Sheet Metal Part ◽

Metal Part ◽

Forming Process ◽

Loading Trajectory ◽

New Process ◽

Forming Defects

A new stretch-forming process based on discretely loading for three-dimensional sheet metal part is proposed and numerically investigated. The gripping jaw in traditional stretch-forming process is replaced by the discrete array of loading units, and the stretching load is applied at discrete points on the two ends of sheet metal. By controlling the loading trajectory at the each discrete point, an optimal stretch-forming process can be realized. The numerical results on the new stretch-forming process of a saddle-shaped sheet metal part show that the distribution of the deformation on the formed surface of new process is more uniform than that of traditional stretch-forming, and the forming defects can be avoided and better forming quality will be obtained.

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IDS-DLA: Sheet Metal Part Identification System for Process Automation Using Deep Learning Algorithms

IEEE Access ◽

10.1109/access.2020.3007257 ◽

2020 ◽

Vol 8 ◽

pp. 127329-127342

Author(s):

Ruey-Kai Sheu ◽

Yuan-Cheng Lin ◽

Chin-Yin Huang ◽

Lun-Chi Chen ◽

Mayuresh Sunil Pardeshi ◽

...

Keyword(s):

Deep Learning ◽

Sheet Metal ◽

Learning Algorithms ◽

Identification System ◽

Process Automation ◽

Sheet Metal Part ◽

Metal Part

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Sheet Metal Part Design

Computer-Aided Engineering Design with SolidWorks ◽

10.1142/9781848167025_0012 ◽

2013 ◽

pp. 490-515

Keyword(s):

Sheet Metal ◽

Sheet Metal Part ◽

Metal Part

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A Problem-Reduction Evolutionary Algorithm for Solving the Capacitated Vehicle Routing Problem

Mathematical Problems in Engineering ◽

10.1155/2015/165476 ◽

2015 ◽

Vol 2015 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Wanfeng Liu ◽

Xia Li

Keyword(s):

Evolutionary Algorithm ◽

Vehicle Routing ◽

Optimization Problem ◽

Optimal Solution ◽

Solution Quality ◽

Routing Problem ◽

Individual Solution ◽

Problem Reduction ◽

Evaluation Phase ◽

Capacitated Vehicle

Assessment of the components of a solution helps provide useful information for an optimization problem. This paper presents a new population-based problem-reduction evolutionary algorithm (PREA) based on the solution components assessment. An individual solution is regarded as being constructed by basic elements, and the concept of acceptability is introduced to evaluate them. The PREA consists of a searching phase and an evaluation phase. The acceptability of basic elements is calculated in the evaluation phase and passed to the searching phase. In the searching phase, for each individual solution, the original optimization problem is reduced to a new smaller-size problem. With the evolution of the algorithm, the number of common basic elements in the population increases until all individual solutions are exactly the same which is supposed to be the near-optimal solution of the optimization problem. The new algorithm is applied to a large variety of capacitated vehicle routing problems (CVRP) with customers up to nearly 500. Experimental results show that the proposed algorithm has the advantages of fast convergence and robustness in solution quality over the comparative algorithms.

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A new rotary forming process for rim thickening of a disc-like sheet metal part

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2012.06.013 ◽

2012 ◽

Vol 212 (11) ◽

pp. 2247-2254 ◽

Cited By ~ 8

Author(s):

Jun-Song Jin ◽

Lei Deng ◽

Xin-Yun Wang ◽

Ju-Chen Xia

Keyword(s):

Sheet Metal ◽

Sheet Metal Part ◽

Metal Part ◽

Forming Process

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3D Parametric Unfolding Method for Sheet-Metal Part

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.488-489.79 ◽

2014 ◽

Vol 488-489 ◽

pp. 79-82

Author(s):

Bo Sun ◽

Long Chen

Keyword(s):

Sheet Metal ◽

3D Modeling ◽

Mathematic Model ◽

Design System ◽

Automatic Design ◽

Sheet Metal Part ◽

Metal Part ◽

3D Environment ◽

Unfolding Method

The unfolding is the first step for the manufacturing of the sheet-metal part, which plays a major role for the accuracy and quality of the final product. Unfortunately, the inefficiency of the traditional drawing-based method made the process boring and sometime confusing. The CAD method made benefit for the designer. By means of the 3D modeling kernel and the mathematic model of unfolding process, the automatic design system of sheet-metal part was developed, in which the models are parametric and in 3D environment.

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