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Item Open Access Data in support of: PTFE layer formation during brush electroplating of nickel(Cranfield University, 2024-10-28) Isern Arrom, Luis; Impey, Sue; Endrino Armenteros, Jose Luis; Almond, HeatherItem Open Access Aviation Product Named Entity Recognition Dataset (ApNER)(Cranfield University, 2024-08-23) Yang, MingyeIn order to verify the proposed model, this study used the aircraft design standard documents and airworthiness standard documents published by the European Aviation Safety Agency (EASA) and the US Electronic Federal Regulations (eCFR), as well as the open source aircraft design dataset AircraftVerse [38] as the corpus to construct a named entity recognition dataset for aviation products (ApNER).Item Open Access Data for the paper "A Dissection and Enhancement Technique for Combined Damage Characterisation in Composite Laminates using Laser-line Scanning Thermography".(Cranfield University, 2021-05-27 09:52) Liu, Haochen; Du, Robin; Yazdani, Hamed; Starr, Andrew; Zhao, YifanThis is the dataset for paper "A Dissection and Enhancement Technique for Combined Damage Characterisation in Composite Laminates using Laser-line Scanning Thermography". It contains the the simulation and experimental data for figures, tables and results in paper. The files are marked with related names.Item Open Access Data for the paper titled "Novel method to additively manufacture denser graphite structures using Binder Jetting Printing"(Cranfield University, 2020-12-07 11:18) Goel, SauravAll data submitted to Scientific Reports in Nature is provided herewith.Item Open Access Immersive robotics experiments - Telexistence PhD (videos)(Cranfield University, 2023-09-25 12:11) Mazeas, DamienThis page contains a list of videos illustrating some of the experiments carried out during Mr. Mazeas's thesis on telexistence.Item Open Access Data: Characterisation of Cognitive Load using Machine Learning Classifiers of Electroencephalogram Data(Cranfield University, 2023-08-17 14:40) Wang, QiA high cognitive load can overload a person resulting in catastrophic accidents, it is therefore important to ensure the cognitive load of a safety-critical task (such as driving a vehicle) is at a manageable level. Although electroencephalography (EEG) has attracted significant interest in the research of cognitive load, few studies use EEG to investigate driving-related cognitive load. This paper presents a feasibility study on the simulation of various levels of cognitive load through designing and implementing four driving tasks, and the associated classification of load using EEG recordings. An EEG dataset containing these four driving tasks from a group of 20 participants was collected to investigate whether EEG can be used as a biomarker to reflect changes in cognitive load. The dataset was then used to train four Deep Neural Networks (DNNs) and four Support Vector Machines (SVMs) classification models. The results showed that the best model achieved a classification accuracy of 90.37% utilizing statistical features from multiple frequency bands in 24 EEG channels. Furthermore, it was observed that the Gamma and Beta bands achieved a greater classification accuracy than the Alpha and Theta bands. The output of this study can potentially improve the Human-Machine-Interface of vehicles for enhanced safety.Item Open Access Data supporting: 'An automated surface determination approach for computed tomography'(Cranfield University, 2022-08-31 17:00) Yang, Xiuyuan; Giusca, Claudiu; Sun, WenjuanThis dataset contains the reconstructed simulation data, MCW surface point clouds, measurement results used for Fig 14 and Fig 16.Item Open Access Data supporting: 'Multi-Energy Source (MES) Configuration for Bead Shape Control in Wire-based Directed Energy Deposition (w-DED)'(Cranfield University, 2022-08-31 15:42) Chen, Guangyu; Suder, Wojciech; Williams, Stewart; Ding, Jialuo; Wang, ChongVideo shows the the dynamic changing of the melt pool and highspeed scanning motion of the laser beam.Item Open Access Data relating to: "Dynamic multistep uncertainty prediction in spatial geometry" (2020)(Cranfield University, 2021-02-12 11:48) Grenyer, Alex; Schwabe, Oliver; ahmet Erkoyuncu, John; Zhao, YifanExcel file corresponding to training data and results in conference paper - applied in MATLABImages: Figures 1-4 as in conference paperVideo: 3D plot rotationVideo: Conference presentationItem Open Access 'Optimisation of an in-process lineal dielectric sensor for liquid moulding of carbon fibre composites'(Cranfield University, 2020-11-04 09:22) Mesogitis, Tassos; Asareh, Mehdi; Skordos, Alex; Maistros, George; Lira, ChristianData: -RTM experiment - 4 bar clamping pressure.xlsx Excel spreadsheet containing the impedance/admittance signals and corresponding covered length for the the PI-LD lineal sensor alongside the visual flow front measurements using video for the 4 bar clamping pressure RTM trial -RTM experiment - 7 bar clamping pressure.xlsx Excel spreadsheet containing the impedance/admittance signals and corresponding covered length for the PI-LD and NyPU lineal sensor, the impedance signals for the PI-LD cure sensor, and the temperature evolution used for the kinetics/specific heat capacity evolution for the 6 bar clamping pressure RTM trial -Air sensor tests.xlsx Excel spreadsheet containing the impedance and admittance spectra of 3 PU sensors in air Models: -FLEXPDE sensor in air.dat FLEXPDE script for 2D FE complex electric field model of sensor in air -FLEXPDE sensor in resin.dat FLEXPDE script for 2D FE complex electric field model of sensor in resin Images: - Flow front mm_process time min.zip Compressed set of images used to identify the flow front position in the 4 bar clamping pressure RTM trial. Files are named to indicate the flow front position and process time. For example, file 150-1.70 is the image corresponding to a flow position of 150 mm at 1.70 min.Item Open Access Data for paper entitled "Laser stabilization of GMAW additive manufacturing of Ti-6Al-4V components"(Cranfield University, 2019-05-09 12:07) Rodrigues Pardal, Goncalo; Martina, Filomeno; Williams, StewartData used in paper "Laser stabilization of GMAW additive manufacturing of Ti-6Al-4V components"Item Open Access 'Quantifying uncertainty in pulsed thermography inspection by analysing the thermal diffusivity measurements of metals and composites - Dataset to reconstruct the results presented in the paper'(Cranfield University, 2021-08-14 10:40) Addepalli, Pavan; Zhao, Yifan; ahmet Erkoyuncu, John; Roy, Rajkumar'This is the underlying dataset for the paper based on which uncertainty quantification was carried out.'Item Open Access Data supporting: 'In-process nip point temperature estimation in automated tape placement based on analytical solution and remote thermal measurements'(Cranfield University, 2022-08-31 15:50) Danezis, Anastasios; Skordos, Alex; Williams, DavidFE and 1D predictions comparison: nip point temperature estimates by the analytical scheme and FE model.Inverse solution data: tool surface temperatures before and after the addition of Gaussian noise, irradiance profile applied in FE model and its approximations using the inverse solution. Metallic and insulating tool material.Example application- power variation: contains the data of the virtual experiment generated by the FE model, and analytical scheme estimates for different scenarios.Item Open Access Data supporting 'Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications'(Cranfield University, 2023-02-16 11:10) ahmet Erkoyuncu, JohnIn Industry 4.0, integrated data management is an important challenge due to heterogeneity and the lack of structure of numerous existing data sources. A relevant research gap involves human knowledge integration, especially in maintenance operations. Augmented Reality (AR) can bridge this gap, but it requires improved augmented content to enable effective and efficient knowledge capture. This paper proposes dynamic authoring and hybrid recommender methods for accurate AR-based reporting. These methods aim to provide maintainers with augmented data input formats and recommended datasets for enhancing the efficiency and effectiveness of their reporting tasks. The proposed contributions have been validated through experiments and surveys in two failure diagnosis reporting scenarios. Experimental results indicated that the proposed reporting solution can reduce reporting errors by 50% and reporting time by 20% compared to alternative recommender and AR tools. Besides, survey results suggested that testers perceived the proposed reporting solution as more effective and satisfactory for reporting tasks than alternative tools. Thus, proving that the proposed methods can improve the effectiveness and efficiency of diagnosis reporting applications. Finally, this paper proposes future works towards a framework for automatic adaptive authoring in AR knowledge transfer and capture applications for human knowledge integration in the context of Industry 4.0.Item Open Access Suppression of molten salt corrosion by plasma sprayed Ni3Al coatings - data(Cranfield University, 2021-12-18 08:08) Aria, IndratFig. 1 (a) Schematics of air plasma spray deposition of Ni3Al coatings and molten nitrate salt tests at 565 °C. Ni3Alpowder is melted in a stream of plasma at atmospheric pressure and propelled towards the substrate. Each of the SS347 and Ni3Al/SS347 coupons is then immersed in NaNO3: KNO3 salts contained in individual alumina crucibles at a constant temperature of 565 °C for up to 3000 h. (b) Time dependent area-normalised weight change (ΔM/A) of Ni3Al/SS347 and SS347 in molten nitrate saltsand air at 565 °C. Here, the weight change is normalised with the surface area of the coupons. Solid and dashed lines indicate piecewise linear regressions for weight change in molten nitrate salts and air, respectively.Fig. 2 Cross-sectional SEM images of Ni3Al/SS347 (a, b) and SS347 (c, d) at 0 h (a, c) and 3000 h (b, d) of immersion in molten nitrate salt at 565 °C. Dashed lines indicate the interface between Ni3Al coating and SS347 substrate, while arrows indicate AlOx particles embedded within the Ni3Al coatings (a, b). No significant change in the coating morphology and no formation of corrosion layers can be observed on Ni3Al/SS347 after 3000 h. In contrast, formation of corrosion layers can be observed on the surface SS347 after 3000 h. A higher magnification SEM image (inset in d) shows the distinguishable morphologies of these corrosion layers. The dashed line in the inset indicates the interface between the corrosion layers and the original SS347 layer.Fig. 3 (a) Elemental maps and corresponding SEM image ofcross-sectioned Ni3Al/SS347 at 3000 h in molten nitrate salt at 565 °C. These maps show spatial distribution of Fe, Ni, Al, O and Na at the interface between Ni3Al coating and SS347substrate. Arrows indicate AlOx particles embedded within the Ni3Al coatings. All scale bars represent 50 μm. (b) Elemental composition in atomic percentage (at. %) of Fe, Ni, Al, O and Na of Ni3Al/SS347 taken at the area indicated by white line in the corresponding SEM image. The composition is obtained at 3000 h and presented as a function of the distance from the interface between Ni3Alcoating and SS347 substrate. Positive distance corresponds to coatings (Coat) and outer mounting resin (Out), while negative distance corresponds to substrate (Sub). Solid lines are ~ 5-μm simple moving average to guide the eye.Fig. 4 (a) Elemental maps and corresponding SEM imageof cross-sectioned SS347 at 3000 h in molten nitrate saltat 565 °C. These maps show spatial distribution of Fe, Ni,Cr, O and Na at the surface of SS347 substrate. All scale bars represent 50 μm. (b) Elemental composition in atomic percentage (at.%) of Fe, Ni, Cr, O and Na of SS347 taken at the area indicated by white line in the corresponding SEM image. The composition is obtained at 3000 h and presented as a function of the distance from the interface between corrosion layers and SS347 substrate. Positive distance corresponds to corrosion layers (Cor) and outer mounting resin (Out), while negative distance corresponds to substrate (Sub). Solid lines are ~ 5-μm simple moving average to guide the eye.Fig. 5 (a) XRD patterns of Ni3Al/SS347 and SS347 at different molten salt exposure times: 0, 1000, 2000 and3000 h. SS347 exhibits peaks that correspond to austenitic stainless steel (filled circle) and various oxides of Fe, including Fe3O4 and (Cr, Fe)2O3 (filled triangle), Fe2NiO4 (filled star) and NaFe2O3 (filled x mark). Ni3Al/SS347 exhibits peaks that corresponds to Ni3Al (filled diamond) and NiO (filled inverted triangle). Peaks are identified according to the International Centre for Diffraction Data (ICDD) database [31, 33, 56–61] (b) Schematic of corrosion suppression of Ni3Al coatings to the SS347 substrate in molten salts. Ni3Al coatings are rapidly oxidised and stabilised in the first 500 h. The formation of oxides within the Ni3Al coatings supresses the diffusion of Na from the molten salt or the release of Fe, Ni and Cr from the substrate for at least 3000 h. In contrast, continuous uptake of O and Na along with the release of Fe, Ni and Cr resulting in the formation of corrosion layers comprised various oxides of iron on the AQ3 surface of SS347.Item Open Access Insertion of large diameter through-thickness metallic pins in composites: dataset(Cranfield University, 2022-03-16 09:16) Neale, Geoffrey; Skordos, AlexForce vs Displacement Data.xlsx - Contains all the raw force versus displacement data for the insertion tests carried out in the associated publication.Thermal Ageing Analysis.xlsx - Contains the DSC data (time, temperature, rev heat capacity and rev heat flow) for Bx180-220 prepreg under ageing regimes in the associated publication.Item Open Access Data for the paper "Pattern Recognition of Barely Visible Impact Damage in Carbon Composites using Pulsed Thermography"(Cranfield University, 2021-12-14 10:50) Zhao, Yifan; Addepalli, PavanPlease find the attachment.Item Open Access A head mounted augmented reality design practise for maintenance assembly(Cranfield University, 2021-08-18 17:03) Ariansyah, DedyThis is the experimental data used to examine the impact of different AR HMD modalities on task performance, system usability, and user safetyItem Open Access Remote Ultrasonic Imaging of a Wire Arc Additive Manufactured Ti-6Al-4V Component using Laser Induced Phased Array(Cranfield University, 2021-08-18 14:42) Lukacs, Peter; Williams, Stewart; Davis, Geo; Macleod, Charles; Stratoudaki, Theodosia; Gachagan, AnthonySupporting dataset for the publication: "Remote Ultrasonic Imaging of a Wire Arc Additive Manufactured Ti-6Al-4V Component using Laser Induced Phased Array".The file contains all the signals used to produce the images in the paper, using information mentioned in the paper, e.g. pitch and filter centre frequency.Item Open Access Data supporting 'Thermal response of multi-layer UV crosslinked PEGDA hydrogels'(Cranfield University, 2023-02-16 11:15) Hakim Khalili, Mohammad; Afsar, Ashfaq; Zhang, Rujing; Wilson, Sandra; Goel, Saurav; Impey, Sue; Aria, AdrianusAll data sets are raw data from thermoresponse behaviour of hydrogels. 1. Swelling test for multi-150 um hydrogels with 1.8 mg/ml of photoabsorber.2. Swelling test for mono-5 mm hydrogels with 0 mg/ml of photoabsorber.3. Swelling test for multi-20 um hydrogels with 9 mg/ml of photoabsorber.4. Swelling test for mono-3 mm and mono-1.5 mm hydrogels with 0 mg/ml of photoabsorber.5. Cyclic test for multi-150 um hydrogels.6. Dried weight and solid residue weight of all hydrogels samples7. EWC, NWF, NVF-summary for all hydrogel samples8. DSC-TG-Thermogram-All sample types