Effect of flexible material on hybrid composites with damping properties assessed by genetic algorithm

2021 ◽  
pp. 177-181
Author(s):  
Akihiko Goto ◽  
Atsushi Yokoyama
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Composites ◽  
Damping Properties ◽  
Flexible Material

scholarly journals Mechanical and damping properties of resin transfer moulded jute-carbon hybrid composites

2016 ◽  
Vol 105 ◽  
pp. 60-66 ◽  
Author(s):  
Sam Ashworth ◽  
Jem Rongong ◽  
Peter Wilson ◽  
James Meredith
Keyword(s):  
Hybrid Composites ◽  
Damping Properties

scholarly journals Drilling Parameters Analysis on In-Situ Al/B4C/Mica Hybrid Composite and an Integrated Optimization Approach Using Fuzzy Model and Non-Dominated Sorting Genetic Algorithm

Metals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2060
Author(s):  
Palanikumar Kayaroganam ◽  
Velavan Krishnan ◽  
Elango Natarajan ◽  
Senthilkumar Natarajan ◽  
Kanesan Muthusamy
Keyword(s):  
Genetic Algorithm ◽  
Feed Rate ◽  
Rotational Speed ◽  
Metal Matrix ◽  
Thrust Force ◽  
Performance Indicator ◽  
Hybrid Composites ◽  
Input Parameter ◽  
Optimization Approach

In-situ hybrid metal matrix composites were prepared by reinforcing AA6061 aluminium alloy with 10 wt.% of boron carbide (B4C) and 0 wt.% to 6 wt.% of mica. Machinability of the hybrid aluminium metal matrix composite was assessed by conducting drilling with varying input parameters. Surface texture of the hybrid composites and morphology of drill holes were examined through scanning electron microscope images. The influence of rotational speed, feed rate and % of mica reinforcement on thrust force and torque were studied and analysed. Statistical analysis and regression analysis were conducted to understand the significance of each input parameter. Reinforcement of mica is the key performance indicator in reducing the thrust force and torque in drilling of the selected material, irrespective of other parameter settings. Thrust force is minimum at mid-speed (2000 rpm) with the lowest feed rate (25 mm/min), but torque is minimum at highest speed (3000 rpm) with lowest feed rate (25 mm/min). Multi-objective optimization through a non-dominated sorting genetic algorithm has indicated that 1840 rpm of rotational speed, 25.3 mm/min of feed rate and 5.83% of mica reinforcement are the best parameters for obtaining the lowest thrust force of 339.68 N and torque of 68.98 N.m. Validation through experimental results confirms the predicted results with a negligible error (less than 0.1%). From the analysis and investigations, it is concluded that use of Al/10 wt.% B4C/5.83 wt.% mica composite is a good choice of material that comply with European Environmental Protection Directives: 2000/53/CE-ELV for the automotive sector. The energy and production cost of the components can be very much reduced if the found optimum drill parameters are adopted in the production.

Influence of the hybrid ratio and stacking sequence on mechanical and damping properties of hybrid composites

2018 ◽  
Vol 40 (6) ◽  
pp. 2368-2380 ◽  
Author(s):  
Tingting Wang ◽  
Bo Song ◽  
Kun Qiao ◽  
Chen Ding ◽  
Li Wang
Keyword(s):  
Hybrid Composites ◽  
Stacking Sequence ◽  
Damping Properties

Damping Analysis of Unidirectional Carbon/Flax Fiber Hybrid Composites

2018 ◽  
Vol 10 (05) ◽  
pp. 1850050 ◽  
Author(s):  
Mariem Ben Ameur ◽  
Abderrahim El Mahi ◽  
Jean-Luc Rebiere ◽  
Moez Abdennadher ◽  
Mohamed Haddar
Keyword(s):  
Fiber Orientation ◽  
Close Agreement ◽  
Hybrid Composites ◽  
Flax Fiber ◽  
Epoxy Composites ◽  
Damping Properties ◽  
Element Analysis ◽  
Damping Coefficients ◽  
Hybrid Laminates ◽  
Vibration Tests

The purpose of the present paper is to study the effect of hybridation, stacking sequences and fiber orientation on the damping properties of unidirectional carbon/flax fiber reinforced epoxy composites. Non-hybrid and hybrid laminates with different stacking sequences were produced by molding vacuum process. Free vibration tests with an impulse technique were performed on test specimens to investigate the dynamic behavior. Finite element analysis was used to model damping to evaluate the different energies dissipated in the material layer directions of the carbon/flax composites. Close agreement was found between the experimentally measured values and those derived from the numerical simulation for the damping coefficients. The results obtained show that flax layers had a significant effect on damping properties.

Lightweight Hybrid Composites of CFRP and Aluminum Foam

2015 ◽  
Vol 825-826 ◽  
pp. 482-489
Author(s):  
Christian Fiebig ◽  
Michael Koch
Keyword(s):  
Aluminum Foam ◽  
Volume Fraction ◽  
Hybrid Composites ◽  
Minimum Weight ◽  
Sandwich Composite ◽  
Sandwich Composites ◽  
Damping Properties ◽  
Fiber Reinforced ◽  
Fiber Reinforced Plastic ◽  
Reinforced Plastic

The lightweight potential of components made of fiber-reinforced plastic can be enhanced by use of sandwich composites. So far, limited dynamic properties of plastic-based foams have prevented the use of sandwich composites in machine applications. The combination of closed-cell aluminum foam (ALF) and carbon fiber reinforced plastic (CFRP) provides a solution to this obstacle. Aluminum foam is characterized by favorable damping properties with minimum weight and CFRP provides high strength and stiffness at similarly low density. This paper deals with the design of a hybrid sandwich composite and its interpretation by using customized FEM simulations.Producing this kind of a sandwich composite in an economic production process presents a major challenge. Thus, a method has been developed that prevents excessive penetration of the resin into the pores of the aluminum foam. A high volume fraction of the resin in the foamed sandwich core would increase density and negatively influence damping properties. The implementation of a barrier layer will avoid this penetration. A DoE was developed and RTM process parameters were varied with the objective of achieving the highest specific bending stiffness. In preliminary experiments the appropriate range of injection pressure, mold temperature, and pressure force was determined. Tests with a nonwoven fabric could prevent the resin from infiltrating into the aluminum foam. Mechanical properties of the sandwich composite are only marginally affected.A model was developed to calculate the obtainable sandwich composite properties. The calculation method considers both the characteristics of the aluminum foam and the CFRP anisotropy. Based on this model a reliable calculation of the applied load could be accomplished. The design of the sandwich composite was targeting at high stiffness and determination of the natural frequency. Parallel to calculations, tests on specimen were performed and the obtained results were included into the calculation as part of the material model.

Path Design of Large Flexible Material Handing

2000 ◽  
Author(s):  
Kuo-Chi Lin ◽  
Annie S. Wu ◽  
Zhihua Qu ◽  
Tanmoy Joshi
Keyword(s):  
Genetic Algorithm ◽  
Cantilever Beam ◽  
Optimal Path ◽  
Time Constraint ◽  
Flexible Structure ◽  
Flexible Material ◽  
Path Design

Abstract When moving a partially constrained large and flexible material, vibration is always a concern, especially if the material is brittle. This paper suggests an approach that uses a genetic algorithm (GA) to search for the optimal path for moving a flexible structure within a given time constraint. A simple cantilever beam with a moving foundation is used as the implementation example. The results show that a GA can provide a set of “good” solutions within a small number of generations of evolution. This approach can be very efficient if the mathematical optimum is not absolutely necessary.

scholarly journals Multi-Objective Optimization of WEDM of Aluminum Hybrid Composites Using AHP and Genetic Algorithm

2021 ◽  
Author(s):  
Amresh Kumar ◽  
Neelkanth Grover ◽  
Alakesh Manna ◽  
Raman Kumar ◽  
Jasgurpreet Singh Chohan ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Metal Matrix ◽  
Electrical Discharge Machining ◽  
Hybrid Composites ◽  
Removal Rate ◽  
Research Work ◽  
Machining Parameters ◽  
Machining Conditions ◽  
Metal Matrix Composite Material ◽  
The Impact

AbstractAluminum hybrid composites have the potential to satisfy emerging demands of lightweight materials with enhanced mechanical properties and lower manufacturing costs. There is an inclusion of reinforcing materials with variable concentrations for the preparation of hybrid metal matrix composites to attain customized properties. Hence, it is obligatory to investigate the impact of different machining conditions for the selection of optimum parameter settings for aluminum-based hybrid metal matrix composite material. The present study aims to identify the optimum machining parameters during wire electrical discharge machining of samples prepared with graphite, ferrous oxide, and silicon carbide. In the present research work, five different process parameters and three response parameters such as material removal rate, surface roughness, and spark Gap are considered for process optimization. Energy-dispersive spectroscopy and scanning electron microscopy analysis reported the manifestation of the recast layer. Analytical hierarchy process and genetic algorithm have been successfully implemented to identify the best machining conditions for hybrid composites.

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