High-force dynamic mechanical analysis of composite sandwich panels for aerospace structures

Redmann, Alec; Montoya-Ospina, Maria Camila; Karl, Ryley; Rudolph, Natalie; Osswald, Tim A.

doi:10.1016/j.jcomc.2021.100136

Cited by 18 publications

(12 citation statements)

References 13 publications

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“…The refrigerant exits the expansion valve at point 4 in the form of a vapor-liquid mixed phase. The quality of the vapor contained at point 4 can be found by the equation [4]:…”

Section: Coolingmentioning

confidence: 99%

“…[3] Install the freezer and make sure it is attached with the solar panels. [4] Next run the test equipment until the system and refrigerant flow are stable. [5] Record the temperature and time indicated by a temperature gauge and a stopwatch.…”

Section: Solar Cellmentioning

confidence: 99%

“…[2] Measure the resulting voltage and current from the output solar cells. [3] Install the freezer and make sure it is attached with the solar panels [4]. Next run the test equipment until the system and refrigerant flow are stable [5].…”

mentioning

confidence: 99%

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Analysis Of The Coefficien Of Performance (COP) Freezer Produced By Solar Cell

Lubis

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2021

International Journal of Science, Technology & Management

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The use of freezer machines has now become a necessity for the wider community, because it is very helpful for humans in everyday life. The cooling load given greatly affects the performance of the freezer, both in terms of electrical energy consumption and the ability to increase system usage time. The greater the cooling load will increase the use of electrical energy during operation. This is very worrying in the future where the issue of depleting fossil energy sources which is currently a priority for producing electrical energy is increasing and filling the media. In recent years, solar energy has been rumored to be the answer to this problem. Where heat energy from the sun is used to move protons and electrons in a solar panel media to produce electrical energy that can be used for the needs of many people. This has become the attraction of researchers to make an innovation in the use of solar energy in a freezer system. Judging from the research roadmap related to solar energy and the vapor compression system in the freezer that was launched in the last few years, not many innovations have been carried out in the use of energy sources. The cooling load to be used will be adjusted to the capacity of the energy source used, which is 410 WP. With the capacity of the freezer that is used with a power of 1/4 PK which will increase its ability/ efficiency to be used and replace the paid electric energy freezer. This is expected to be useful for the public and contribute knowledge and help realize the university roadmap in the future.

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“…The refrigerant exits the expansion valve at point 4 in the form of a vapor-liquid mixed phase. The quality of the vapor contained at point 4 can be found by the equation [4]:…”

Section: Coolingmentioning

confidence: 99%

Section: Solar Cellmentioning

confidence: 99%

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Analysis Of The Coefficien Of Performance (COP) Freezer Produced By Solar Cell

Lubis

Pane

2021

International Journal of Science, Technology & Management

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“…In this vein, sandwich composite materials offer a lightweight but stiff structure that appear to be an ideal substitute for existing heliostat mirrors and their supporting trusses [16][17][18]. Sandwich composites have been extensively adopted in the motorsport, construction, marine and aerospace industries [19][20][21][22] (applications where reducing weight whilst maintaining the stiffness is of key importance) due to their comparatively low-cost, high strength-to-weight ratio, corrosion-resistance and good energy-absorbing capabilities [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network–Particle Swarm Optimization (ANN-PSO) Approach for Behaviour Prediction and Structural Optimization of Lightweight Sandwich Composite Heliostats

2021

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The necessity to diminish the heliostats’ cost so that central tower concentrating solar power (CSP) systems can stride to the forefront to become the technology of choice for generating renewable electricity is obliging the industry to consider innovative designs, leading to new materials being implemented into the development of heliostats. Honeycomb sandwich composites offer a lightweight but stiff structure that appear to be an ideal substitute for existing heliostat mirrors and their steel supporting trusses, avoiding large drive units and reducing energy consumption. However, realizing a honeycomb sandwich composite as a heliostat, among a multitude of possible combinations can be tailored from, that delivers the best trade-off between the panel’s weight reduction (broadly equates to cost) and structural integrity is cumbersome and challenging due to the complex nonlinear material behaviour, along with the large number of design variables and performance constraints. We herein offer a simulation–optimization model for behaviour prediction and structural optimization of lightweight honeycomb sandwich composite heliostats utilizing artificial neural network (ANN) technique and particle swarm optimization (PSO) algorithm. Considering various honeycomb core configurations and several loading conditions, a thorough investigation was carried out to optimally choose the training algorithm, number of neurons in the hidden layer, activation function in a network and the suitable swarm size that delivers the best performance for convergence and processing time. Carried out for three case scenarios, each with different design requirements, the results showed that the proposed integrated ANN-PSO approach provides a useful, flexible and time-efficient tool for heliostat designers to predict and optimize the structural performance of honeycomb sandwich composite-based heliostats as per desired requirements. Knowing that heliostats in the field are not all subjected to the same wind conditions, this method offers flexibility to tailor heliostats independently, allowing them to be made lighter depending on the local wind speed in the field. This could lead to reductions in the size of drive units used to track the heliostat, and the foundations required to support these structures. Such reductions would deliver real cost savings, which are currently an impediment to the wider spread use of CSP systems.

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“…Dynamic loads are taken into account while designing concrete [1] and aerospace [2] structures, tunnels [3], deeply buried constructions [4], propulsion system of ships [5], reinforced polymer structures in civil engineering [6] and many other fields. In those fields engineers deal with mechanical characteristics of different materials such as for example metals or composites.…”

Section: Introductionmentioning

confidence: 99%

Study of the Influence of Nonlinear Dynamic Loads on Elastic Modulus of Carbonate Reservoir Rocks

et al. 2021

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The paper presents the results of the experimental investigation of carbonate reservoir rocks subjected to quasistatic and nonlinear dynamic loads. During the quasistatic loading the zones of linear elasticity were determined. Dynamic loading of samples was performed at several frequencies and load amplitudes using a testing system. There were two zones found in which the elastic modulus changes nonlinearly in terms of dynamic load frequency. While the frequency of the dynamic load increases from 0 to 10 Hz the dynamic elastic modulus rises according to logarithmic law; while the frequency increases from 10 to 60 Hz elastic modulus rises according to a power law for each load amplitude. The amplitude of the longitudinal strain and phase shift decreases with increasing frequency of the dynamic load. Under the higher strain rates the rock gets stiffer in comparison with rock subjected to smaller strain rate dynamic loading. Saturation of rock samples with distilled water flattening the dependencies of dynamic Young’s modulus on frequency.

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High-force dynamic mechanical analysis of composite sandwich panels for aerospace structures

Cited by 18 publications

References 13 publications

Analysis Of The Coefficien Of Performance (COP) Freezer Produced By Solar Cell

Analysis Of The Coefficien Of Performance (COP) Freezer Produced By Solar Cell

Artificial Neural Network–Particle Swarm Optimization (ANN-PSO) Approach for Behaviour Prediction and Structural Optimization of Lightweight Sandwich Composite Heliostats

Study of the Influence of Nonlinear Dynamic Loads on Elastic Modulus of Carbonate Reservoir Rocks

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