Manufacturing and Materials
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Browsing Manufacturing and Materials by Subject "'Aerospace Engineering'"
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Item Open Access A novel dielectric sensor for process monitoring of carbon fibre composites manufacture(Cranfield University, 2019-05-28 11:53) Tifkitsis, Konstantinos; Skordos, AlexFlow sensor validation: includes the lineal sensor results during RTM processing and comparison with visual monitoring data-Cure sensor: includes the Cure sensors results of isothermal runs of neat resin and VART and the comparison with existing models.Item Open Access Adhesively bonded composite testing(Cranfield University, 2017-06-01 10:43) Yazdani Nezhad, Hamed; Ayre, DavidDataset used in Figure 2 in "Tensile Response of Adhesively Bonded Composite-to-composite Single-lap Joints in the Presence of Bond Deficiency" (doi:10.1016/j.procir.2016.09.021). Also used in "A novel process-linked assembly failure model for adhesively bonded composite structures" (doi:10.1016/j.cirp.2017.04.103).Item Open Access Data for the paper "residual stress and texture control in Ti-6Al-4V wire + arc additively manufactured intersections by stress relief and rolling"(Cranfield University, 2018-05-02 13:58) roman Hönnige, Jan; Ganguly, Supriyo; Colegrove, Paul; Williams, Stewart; Lik Lee, Tung; Fitzpatrick, Michael; Ahmed, BilalData supporting the paper: "residual stress and texture control in Ti-6Al-4V wire + arc additively manufactured intersections by stress relief and rolling".Item Open Access Data for the paper "Stochastic multi-objective optimisation of the cure process of thick laminates"(Cranfield University, 2018-07-31 15:58) Tifkitsis, Konstantinos; Struzziero, Giacomo; Skordos, AlexSurrogate_model_validation.xlsx includes the data corresponding to the comparison between FE and surrogate model (responses surfaces, PDF of model error, stochastic simulation)-Uncertainty_quantification_results.xlsx includes the results of uncertainty quantification of convection coefficient and tool temperature.-Stochastic_optimisation_results.xlsx includes the stochastic and deterministic Pareto points of stochastic and deterministic optimisation respectively.-Sensitivity_analysis_results.xlsx includes the data corresponding to the sensitivity analysis of standard and optimal profiles.-flat_panel_15.6mm.dat : Marc input corresponding to Cure model of this study-usub.f: contains all the subroutines for material properties and boundary conditionsItem Open Access Multi-objective optimisation of the cure of thick components(Cranfield University, 2016-11-18 08:21) Struzziero, Giacomo; Skordos, AlexThe file-set contains the following files:-Flatpanel_24mm.dat: A Marc input file used as template for the optimisation methodology-Usub.f: Contains the subroutines implemented to modify the input file at each optimisation iteration-Exhaustive_search.xlsx: Contains the data of the comparison between the GA and exhaustive search final Pareto fronts. Columns contain temperature of first and second dwell, duration of first dwell, ramp rate, process time and overshoot temperature for the exhaustive case whilst in column H and I the process time and overshoot temperature of the GA Pareto are reported.-Flat_panel_results.xlsx: The spreadsheet contains: optimisation of flat panel 24 and 60 mm case, optimisation of flat panel 60 mm with 30 and 100 W/m^2 K convection coefficient and optimisation of flat panel 24 mm with 30 and 100 W/m^2 K convection coefficient. In each sheet columns contain the generation number, the optimisation parameters, process time and temperature overshoot.-L_shape_results.xlsx: The spreadsheet contains optimisation of the L-shape for the 24 and 60 mm case. In each sheet columns contain the generation number, the optimisation parameters, process time and temperature overshoot. -T_joint_results.xlsx: The spreadsheet contains optimisation of the T-joint for the 24 and 60 mm case. In each sheet columns contain the generation number, the optimisation parameters, process time and temperature overshoot.-L_shape_24mm_corner_point.xlsx: Containsthe detailed analysis of a corner point optimisation solution for the L-shape 24 mm. Columns contain time, temperature, degree of cure and reaction rate values at different increments for different nodes through thickness.-L_shape_24mm_standard_point.xlsx: Containsthe detailed analysis of the standard point solution for the L-shape 24 mm. Columns contain time, temperature, degree of cure and reaction rate values at different increments for different nodes through thickness.-L_shape_24mm_horizontal_point.xlsx: Containsthe detailed analysis of a corner point optimisation solution for the L-shape 24 mm. Columns contain time, temperature, degree of cure and reaction rate values at different increments for different nodes through thickness.Item Open Access Real time inverse solution of the composites cure heat transfer problem under uncertainty(Cranfield University, 2019-12-10 12:12) Skordos, Alex; Tifkitsis, Konstantinospanel_glass.f : subroutines representing material properties and boundary conditions.-panel_glass_3.3mm.dat: Marc input corresponding to the Cure model of this paper.-Process monitoring results.xlsx: Experimental data acquired by thermocouples.-surrogate model validation.xlsx: Response surfaces of surrogate and FE model.-MCMC results: Statistical properties estimation of unknown parameters with inversion procedure.-Real time probability estimation: Minimum final degree of Cure and Minimum glass transition temperature probability estimation during manufacturing process.Item Open Access Real time uncertainty estimation in filling stage of RTM process(Cranfield University, 2020-09-24 16:50) Tifkitsis, Konstantinos; Skordos, AlexSurrogate models validation: includes comparison between FE model and surrogate modelSensors data: includes the response of the three lineal sensorsReal time uncertainty estimation: includes the results of the inversion procedurePrior model: confidence intervals using prior knowledgePost model: confidence intervals using inversion solutionCDF Filling time estimation: Cumulative density function of filling time estimation at different times during filling processItem Open Access Shear Driven Deformation and Damage Mechanisms in High-performance Carbon Fibre-reinforced Thermoplastic and Thermoset Composites(Cranfield University, 2020-11-03 17:38) Yazdani Nezhad, Hamed; Mills, Andrew; Hernandez, ThibaultThe underpinning data related to monolithic and cyclic testing of thermoplastic and thermoset carbon fibre-reinforced polymer composites for description of shear driven deformation and damage mechanisms at micro-scale, related to high-performance aerospace grade structures undergoing high mechanical strains.Item Open Access Ultra-thin electrospun nano-fibres for damage tolerant composite laminates(Cranfield University, 2019-11-08 12:34) An, Donglan; Lotfian, Saeid; Mesbah, Daria; Ayre, David; Yoosefinejad, Ata; Kumar, Vijay; Yazdani Nezhad, HamedRaw data and calculation of Mode-I fracture toughness at initiation and propagation for different densities of electrospun nanofibres embedded for toughening of composite laminatesItem Open Access Underpinning Data for Article: Carbon nanotube embedded adhesives for real-time monitoring of adhesion failure in high performance adhesively bonded joints(Cranfield University, 2020-09-25 19:16) Yazdani Nezhad, Hamed; Bregar, Tadej; An, Donglan; Gharavian, Somayeh; Burda, Marek; Durazo-Cardenas, Isidro; Kumar, Vijay; Ayre, David; Sloma, Marcin; Hardiman, Mark; McCarthy, ConorThe underpinning data for Research Article on Carbon nanotube embedded adhesives for real-time monitoring of adhesion failure in high performance adhesively bonded joints