Aerospace
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Item Open Access The Effect of Rotor Tilt on the Stability and Gust Rejection Properties of VTOL Multirotor Aircraft - MATLAB Codes(Cranfield University, 2022-01-04 11:11) Whidborne, JamesVideo visualization and MATLAB files and routines to generate figures, video and some results of paper "The Effect of Rotor Tilt on the Stability and Gust Rejection Properties of VTOL Multirotor Aircraft" by James F. Whidborne, Arthur Mendez and Alastair CookeRun the script MultiRotorGust.m to generate all the figures & the video in the paper.Item Open Access Steady and transient simulation results of air injection into aeroderivative gas turbines for power augmentation and ramp rate improvement(Cranfield University, 2020-08-16 16:07) Abudu, KamalThe data set includes Turbomatch results for the steady state and transient injection of air into two aeroderivative engines. The engines considered are inspired by the GE LM6000(TS56) and LMS100(TSI118). The steady state simulations data provides engine design specifications and the effect of increased injection on the engines' performance. A ramp up stimulation from 50% of power to full load is also provided for both engines.Item Open Access Data set for Gas Turbine Minimum Environmental Load Extension with Compressed Air Extraction for Storage(Cranfield University, 2020-08-15 09:40) Abudu, KamalThe data set contains an emissions model for CO and NOx emissions from a gas turbine with simulation results for air extraction and engine turndownItem Open Access Dataset for the publication: "Coupon scale Z-pinned IM7/8552 delamination tests under dynamic loading"(Cranfield University, 2019-08-27 15:00) Cui, Hao; R. Hallett, Stephen; Mahadik, Yusuf; K. Patridge, Ivana; Allegri, Giuliano; Anusuya Ponnusami, Sathiskumar; Petrinic, NikDatasets for a paper published in Composites Part A: Applied Science and Manufacturinghttps://doi.org/10.1016/j.compositesa.2019.105565The quasi-static tests were done at velocity of around 0.01mm/sDynamic tests were conducted at norminal velocity of around 4m/s, some of the WDCB tests were done at 7m/s.Item Open Access Stencil selection algorithms publication data(Cranfield University, 2019-08-19 14:40) Tsoutsanis, PanagiotisDataset for simulation1) eps images of simulation outputs2) mp4 /mpg of video animation of simulations3) tecplot plt files (use Tecplot, or Paraview for visualisation)Item Open Access A Benchtop Flight Control Demonstrator - Data and Code(Cranfield University, 2019-09-10 09:28) Duran, Joris; Whidborne, James; Pontillo, Alessandro; alejandro Carrizales rodriguez, MartinCodes and data for "A benchtop flight control demonstrator" J R Duran, J F Whidborne, M Carrizales Rodriguez, A Pontillo International Journal of Mechanical Engineering Education Published online July 27, 2019 doi: 10.1177/0306419019852688CodesFlight-Desk-Control-Demonstrator-master.zip - GUI on a computer programmed in JAVA - PID Controller for ArduinoExperimental Results- Test open loop.xls- Test P.xls- Test PID.xlsFluent CFD Fileswindtunnel.casWindtunnel.jouWindtunnel_refine.meshdatJavaFoil filescriptJaveFoilMicrosoft Excel Windtunnel design worksheetWind Tunnel Design V2.xlsmCATIA CAD filesCAD-CATIA.zipMSc DissertationDuran JR. Flight Desk Control Demonstrator. MSc dissertation, Cranfield University, Bedfordshire, U.K., 2018. Available at: http://dspace.lib.cranfield.ac.uk/handle/1826/14154Item Open Access Data supporting: High-order hybrid DG-FV framework for compressible multi-fluid problems on unstructured meshes""(Cranfield University, 2024-02-12 17:07) Maltsev, Vadim; Skote, Martin; Tsoutsanis, PanagiotisThis dataset contains binary output in Tecplot format for the test problems analysed in the "High-order hybrid DG-FV framework for compressible multi-fluid problems on unstructured meshes" JCP paper. Test cases included are: - Gas-water isolated material interface advection - 2D and 3D helium bubble interaction with shock wave - 2D shock driven air bubble collapse in water - 2D and 3D shock driven air bubble array collapse in water - 2D underwater explosionItem Open Access Data for Paper "Unsteady Multiphase Simulation of Oleo-Pneumatic Shock Absorber Flow"(Cranfield University, 2024-02-21 18:05) Sheikh Al Shabab, Ahmed; Grenko, Bojan; Silva, Paulo; Antoniadis, Antonios; Tsoutsanis, Panagiotis; Skote, MartinDataset for the paper "Unsteady Multiphase Simulation of Oleo-Pneumatic Shock Absorber Flow"Item Open Access Supplementary data: Energy Harvesting Frictionless Brakes for Short-Haul Aircraft: Thermal and Electromagnetic Feasibility of an Axial-Flux Machine for a Landing Gear Drive System(Cranfield University, 2023-05-22 09:23) Deja, Jakub; Skote, Martin; Dayyani, Iman; Akbari, Amir; Lowther, DavidSupplementary data for conference paper entitled "Energy Harvesting Frictionless Brakes for Short-Haul Aircraft: Thermal and Electromagnetic Feasibility of an Axial-Flux Machine for a Landing Gear Drive System" presented at AIAA Aviation Forum 2023Item Open Access SSFs dataset: Self-supervised features dataset of the ultrasonic signals of two-phase flow in an S-shaped riser(Cranfield University, 2023-03-09 15:15) Kuang, BoyuTitle: SSFs dataset: Self-supervised features dataset of the ultrasonic signals of two-phase flow in an S-shaped riser Author: Boyu Kuang, neiil.kuang@cranfiel.ac.uk Time: 09th March 2023 Description: The source data of the proposed SSFs dataset comes from: https://doi.org/10.17862/cranfield.rd.11369379.v1 The Self-supervised features (SSFs) dataset is opened to the community along with our latest journal paper entitled: "Self-supervised learning-based two-phase flow regimen identification using ultrasonic sensors in an S-shape riser". NOTE: the journal DOI will be provided after the acceptance. This dataset is produced using the settings in TABLE I. Here are some details, and please contact me if you got any issues with using the dataset: SSFs_dataset: "the root directory of the dataset" | | -- ex: "the SSFs from the experiment group (ex)" | | | | | -- train: "the training set (70%)" | | | | | -- test: "the testing set (15%)" | | | | | -- valid: "the validation set (the rest)" | | -- ctr-A: "the SSFs from the control group (ctr-A)" | | | | | -- train: "the training set (70%)" | | | | | -- test: "the testing set (15%)" | | | |Item Open Access Supporting data for "Measuring Airport Service Quality Using Machine Learning Algorithms"(Cranfield University, 2022-06-28 15:11) Salih A Homaid, Mohammed; Moulitsas, IreneThe airport industry is a highly competitive market that has expanded quickly during the last two decades. Airport management usually measures the level of passenger satisfaction by applying the traditional methods, such as user surveys and expert opinions, which require time and effort to analyse. Recently, there has been considerable attention on employing machine learning techniques and sentiment analysis for measuring the level of passenger satisfaction. Sentiment analysis can be implemented using a range of different methods. However, it is still uncertain which techniques are better suited for recognising the sentiment for a particular subject domain or dataset. In this paper, we analyse the sentiment of air travellers using five different algorithms, namely Logistic Regression, XGBoost, Support Vector Machine, Random Forest and Naïve Bayes. We obtain our data set through the SKYTRAX website which is a collection of reviews of around 600 airports. We apply some pre-processing steps, such as converting the textual reviews into numerical form, by using the term frequency-inverse document frequency. We also remove stopwords from the text using the NLTK list of stopwords. We evaluate our results using the accuracy, precision, recall and F1_score performance metrics. Our analysis shows that XGBoost provides the most accurate results when compared with other algorithms.Item Open Access Presentation: A Kriging Approach to Model Updating for Damage Detection(Cranfield University, 2022-07-04 01:10) Dessena, GabrieleThis are the presentation slides for the presentation delivered on the 4.7.2022 at the 10th European Workshop on Structural Health Monitoring in Palermo, Italy. The presentation refers to the "A Kriging Approach to Model Updating for Damage Detection" paper that can be found at https://doi.org/10.1007/978-3-031-07258-1_26Item Open Access Experimental data for the dynamic inter-fibre failure of composite laminates with through-thickness reinforcement(Cranfield University, 2019-04-10 12:14) Cui, HaoExperimental data as published in "Dynamic inter-fibre failure of unidirectional composite laminates with through-thickness reinforcement" DOI: 10.1016/j.compscitech.2019.04.004Item Open Access Graphic abstract(Cranfield University, 2022-06-07 12:41) Deja, Jakub; Dayyani, Iman; Skote, MartinModelling and Performance Evaluation of Sustainable ArrestingGear Energy Recovery System for Commercial AircraftItem Open Access Surface line integral convolution-based vortex detection using computer vision(Cranfield University, 2022-02-22 21:24) Ashor Amran Abolholl, HazemVortex cores in fluid mechanics are easy to visualise, yet difficult to detect numerically. Precise knowledge of these allow fluid dynamics researchers to study the underlying complex flow structures with greater precision and allow for a better understanding of the turbulence transition process and the development and evolution of flow instabilities, to name but a few relevant areas. Various approaches such as the Q, delta and swirling strength criterion have been proposed to visualise vortical flows and these approaches can be used as well to detect vortex core locations. Using these methods will detect spurious vortex cores and the number of false positives and negatives need to be balanced through a threshold criterion, making these methods lack robustness. To overcome this shortcoming, we propose a new approach using convolutional neural networks to detect flow structures directly from streamline plots, using the line integral convolution method. We show that our computer vision-based approach is able to reduce the number of false positives and negatives entirely while removing the need to calibrate user-defined parameters which are flow problem-specific. We validate our approach for the well-known Taylor-Green vortex problem where we extract line integral convolution-based streamline plots on the centre planes of the domain which are then used to train our convolutional neural network. We show that with an increasing number of images used for training, we are able to monotonically reduce the number of false positives and negatives. We then apply our trained network to a different flow problem and show that we are able to detect vortices irrespective of the flow case. Thus, our study presents a convolutional neural network approach that allows for reliable vortex core detection that only needs to be trained once but is applicable to a wide range of flow scenarios.Item Open Access Data supporting 'Numerical Investigation of full helicopter with and without the ground effect'(Cranfield University, 2022-02-09 18:11) Silva, Paulo; Tsoutsanis, PanagiotisIn the present work, the aerodynamic performance of the full helicopter PSP in hover flight is investigated using a simplified concept of multiple reference frame (MRF) technique in the context of high-order Monotone Upstream Centred Scheme for Conservation Laws (MUSCL) cell-centred finite volume method. The predictions were obtained for two ground distances and several collective pitch angle at tip Mach number of 0.585. The calculations were made for both out-of-ground-effect (OGE) and in-ground-effect (IGE) cases and compared with experimental data in terms of pressure distribution and integrated thrust and torque and vortex system.Item Open Access PSP full helicopter Out ground effect(Cranfield University, 2023-12-12 14:49) Silva, PauloThis data contains results file of the PSP rotor with fuselage for out of ground effectItem Open Access Data supporting: 'Ground Vibration Testing of a Flexible Wing: A Benchmark and Case Study'(Cranfield University, 2023-05-04 16:22) Dessena, GabrieleThis CORD entry contains the experimental data underlying the journal article Ground Vibration Testing of a Flexible Wing: A Benchmark and Case Study published in Aerospace by MDPI. The document XB-2_Dataset.pdf serves as the explanatory note for the data contained in data_xb2.matItem Open Access Data for Paper "Numerical Investigation of Orifice Nearfield Flow Development in Oleo-Pneumatic Shock Absorbers"(Cranfield University, 2022-02-18 09:57) Sheikh Al Shabab, Ahmed; Skote, Martin; Tsoutsanis, Panagiotis; Antoniadis, Antonios; Vitlaris, Dimitrios; Grenko, BojanData for the journal paper titled: Numerical Investigation of Orifice Nearfield Flow Development in Oleo-Pneumatic Shock AbsorbersItem Open Access Astronaut Playscapes - Table Football in space - a crazy idea … or a sensible contribution to keeping astronauts functioning in complex space systems?(Cranfield University, 2021-11-23 18:26) Cullen, David; Goument, LauraPoster summarising the status of the Astronaut Playscapes concept as of November 2021