Research on Structural Optimal Design of a Car Plastic Back Door

2014 ◽  
Vol 971-973 ◽  
pp. 676-679
Author(s):  
Duo Nian Yu ◽  
Zhi Jia Wu ◽  
You Qun Zhao ◽  
Li Yang Gu ◽  
Jing Min Liu
Keyword(s):  
Experimental Data ◽  
Genetic Algorithm ◽  
Optimal Design ◽  
Glass Fiber ◽  
Experimental Method ◽  
Response Surface ◽  
Glass Fiber Reinforced ◽  
Back Door ◽  
Polynomial Response Surface ◽  
Rsm Model

This paper takes a passenger car back door as an example with the use of glass fiber reinforced PET to replace steel. The sampling space is sampled by the optimal Latin hypercube experimental method and according to the experimental data, it establishes the polynomial response surface (RSM) model. Select NSGA −∏ genetic algorithm to optimize the back door assembly thickness of multi-objection with the purpose of lightweight.

The Importance of Material Structure in the Laser Cutting of Glass Fiber Reinforced Plastic Composites

1995 ◽  
Vol 117 (1) ◽  
pp. 133-138 ◽  
Author(s):  
G. Caprino ◽  
V. Tagliaferri ◽  
L. Covelli
Keyword(s):  
Experimental Data ◽  
Glass Fiber ◽  
Laser Cutting ◽  
Material Structure ◽  
Fiber Reinforced ◽  
Fiber Volume ◽  
Glass Fiber Reinforced Plastic ◽  
Fiber Reinforced Plastic ◽  
Glass Fiber Reinforced ◽  
Reinforced Plastic

A previously proposed micromechanical formula, aiming to predict the vaporization energy Qv of composite materials as a function of fiber and matrix properties and fiber volume ratio, was assessed. The experimental data, obtained on glass fiber reinforced plastic panels with different fiber contents cut by a medium power CO2 cw laser, were treated according to a procedure previously suggested, in order to evaluate Qv. An excellent agreement was found between experimental and theoretical Qv values. Theory was then used to predict the response to laser cutting of a composite material with a fiber content varying along the thickness. The theoretical predictions indicated that, in this case, the interpretation of the experimental results may be misleading, bringing to errors in the evaluation of the material thermal properties, or in the prediction of the kerf depth. Some experimental data were obtained, confirming the theoretical findings.

Analysis and modeling of delamination factor in drilling glass fiber reinforced plastic using response surface methodology

2010 ◽  
Vol 45 (6) ◽  
pp. 727-736 ◽  
Author(s):  
Erol Kilickap
Keyword(s):  
Response Surface Methodology ◽  
Glass Fiber ◽  
Response Surface ◽  
Gfrp Composites ◽  
Glass Fiber Reinforced Plastic ◽  
Fiber Reinforced Plastic ◽  
Delamination Factor ◽  
Glass Fiber Reinforced ◽  
Reinforced Plastic ◽  
Drilling Parameters

This study, through a new approach, presents a comprehensive mathematical model for correlating the interactive and higher order influences of drilling parameters on the delamination factor in drilling glass fiber reinforced plastic (GFRP) composites using response surface methodology. The purpose of this article is to investigate the influence of drilling parameters, such as cutting speed, feed, and point angle on delamination produced when drilling GFRP composite. The damage generated associated with drilling GFRP composites were observed, both at the entrance and exit during the drilling. The experiments are conducted based on Box—Behnken design. Empirical models are developed to correlate and predict the drilling parameters and delamination factor in drilling of GFRP. The developed models for delamination factor at entrance and exit are proposed that agree well with the experiment. The models can be utilized to select the level of drilling parameters. Thus time and cost were noticeably reduced.

scholarly journals Multiobjective Optimization of Mechanical Properties on Sisal-Glass Fiber-Reinforced Hybrid Composites Using Response Surface Methodology and LINGO Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
S. Ragunath ◽  
A. N. Shankar ◽  
K. Meena ◽  
B. Guruprasad ◽  
S. Madhu ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Glass Fiber ◽  
Response Surface ◽  
Hybrid Composites ◽  
Glass Fibers ◽  
Research Work ◽  
Compression Molding ◽  
Fiber Reinforced ◽  
Glass Fiber Reinforced

The aim of this research work was to develop the optimal mechanical properties, namely, tensile strength, flexural strength, and impact strength of sisal and glass fiber-reinforced polymer hybrid composites. The sisal, in the form of short fiber, is randomly used as reinforcements for composite materials, which is rich in cellulose, economical, and easily available as well as glass fibers have low cost and have good mechanical properties. In addition, epoxy resin and hardener were for the fabrication of composites by compression molding. The selected materials are fabricated by compression molding in various concentrations on volume basics. The combination of material compositions is obtained from the design of experiments and optimum parameters determined by the Response Surface Methodology (RSM). From the investigation of mechanical properties, the sisal is the most significant factor and verified by ANOVA techniques. The multiobjective optimal levels of factors are obtained by LINGO analysis.

scholarly journals Statistical Analysis of Some Mechanical Characteristics of Glass Fiber Reinforced Composites

2017 ◽  
Vol 54 (4) ◽  
pp. 601-605
Author(s):  
Paulina Spanu ◽  
Catalin Gheorghe Amza ◽  
Gabriela Dinu
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
Glass Fiber ◽  
Virtual Instrument ◽  
Mechanical Characteristics ◽  
Polymeric Composites ◽  
Control Element ◽  
Fiber Reinforced ◽  
Glass Fiber Reinforced ◽  
Complex Project

This paper presents the results of the experimental researches obtained in the three-point test of the glass-fiber-reinforced polymeric composites. Mathematical modeling of experimental results was performed using a virtual instrument (VI) developed in the graphical programming language called LabVIEW. In order to process the experimental data and display the results, the virtual instrument (VI) allows both the reading of experimental data from a saved text file from the same folder as the current VI file and the direct entry of experimental values into a control element disposed on its front panel. The virtual instrument described in this article is part of a more complex project used for the mathematical modeling of the experimental data obtained in determining the physic-mechanical characteristics of glass fiber randomly reinforced polymeric composites.

Study Regarding the Compressive Properties of Glass Fiber Reinforced Composites

2018 ◽  
Vol 55 (4) ◽  
pp. 580-583
Author(s):  
Paulina Spanu ◽  
Catalin Gheorghe Amza ◽  
Bogdan Felician Abaza
Keyword(s):  
Experimental Data ◽  
Compressive Strength ◽  
Glass Fiber ◽  
Composite Structures ◽  
Compressive Property ◽  
Reinforced Composites ◽  
Compressive Properties ◽  
Glass Fiber Reinforced ◽  
Depth Study ◽  
Experimental Values

Compressive strength of the polymeric composites is an important data for design of composite structures and therefore a depth study of this mechanical property is imperative. The mechanical properties of the polymer composites vary in the very large ranges according to the characteristics of the constituents, to their proportions and many other factors. Compressive property and failure mechanism of polymer composite materials reinforced with glass fiber were investigated in this paper. The experimental data for the studied materials were included the compressive strength, strain, poisson�s ratio and modulus. Some of these experimental values could be affected by aberrant errors. This paper also presents an application that removes the experimental data affected by gross errors from the sample of numerical values. The elimination of experimental data affected by gross errors is based on Chauvenet criterion.

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