20505 research outputs found
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Dataset "Blended wing body design and analysis"
No full textData collected from different simulations and analyses calculated using GENU
Towards circular fashion: management strategies promoting circular behaviour along the value chain
Get PDFThe fashion industry is a significant driver of cultural, societal, and economic growth worldwide, but its traditional linear approach has led to negative environmental and social impacts. This study addresses the need to transition towards sustainable and circular practices by exploring the relationship between management strategies and behaviours across the fashion value chain. Through 10 semi-structured interviews with top industry decision-makers, thematic analysis revealed eight core themes, including collaborations, marketing strategies, product-related characteristics, education and awareness, business models, integration of technology, regulations and legislation, and strategic planning. The study provides targeted recommendations for stakeholders to promote a more sustainable and circular behaviour in the fashion industry. For instance, it emphasises strategic partnerships with suppliers, waste management companies, and consumers to minimise waste and promote circularity across the value chain. It urges the adoption of sustainable materials and eco-friendly designs for environmentally conscious consumers and encourages visual storytelling for transparency. Additionally, the study highlights the need for circular business models, recommending on-demand and made-to-measure manufacturing to align production with demand and reduce overproduction. Offering end-of-life strategies such as take-back programs, recycling initiatives, and repair services extends product lifecycles and creates sustainable value. Integrating advanced technologies such as digital IDs improves supply chain transparency and accountability. These actionable recommendations guided the development of a comprehensive framework for the practical application of sustainable and circular practices across the value chain, offering industry practitioners, researchers and policymakers effective strategies for driving impactful change within the fashion industry.Sustainable Production and Consumptio
Low-cost IMU Sensor Temperature Humidity Zero Bias Data
No full textDataset containing the responses of three inertial measurement units (IMUs) of the same model (MPU-6050s) under varying temperature and relative humidity conditions in a Sanyo Gallenkamp environmental chamber.Industrial CASE Account - Cranfield University 201
Far Field Comparison Study Data and Templates
No full textThis file forms the basis for the 3D simulations performed in the study relating to blastFoam
Non-destructive methods for mango ripening prediction: Visible and near[1]infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV): Data
No full textThis data set includes reference measurements (firmness, colour [lightness, chroma and hue angle], total soluble solids [TSS], individual sugar concentrations [glucose, fructose, sucrose]), as well as visible and near-infrared spectroscopic (vis-NIRS) data (nm) and resonant frequency measured by laser Doppler vibroemetry (LDV) on 'Keitt' and 'Kent' mango fruit.This work was funded by Orchard House Foods Ltd. and Cranfield University through the Cranfield Industrial Partnership PhD Scheme
I2MTC 2024 Glasgow - Towards High Resolution Absolute Angle Sensing using Dual-Wavelength Laser Speckle
No full textData supporting the conference paper 'Towards High Resolution Absolute Angle Sensing using Dual-Wavelength Laser Speckle', presented at the International Instrumentation and Measurement Technology Conference (I2MTC) in Glasgow, in May 2024.NPIF EPSRC Doctoral - Cranfield University 201
A long-wave infra-red pulsed external-cavity QCL spectrometer using a hollow waveguide gas cell: Data
No full textA spectrometer built using an external cavity pulsed quantum cascade laser is described. The spectrometer has a tuning range from 10 β¬β 13 um (1,000 β¬β 769 cm-1) and is designed to target volatile organic compounds (VOCs) which often exhibit water-free molecular absorption within the region. The spectrometer utilizes a hollow silica waveguide gas cell which has an internal volume of a few millilitres, a fast response time (~1 s), and is advantageous when only low sample volumes, similar to the cell volume, are available.Point of care diagnosis of gastrointestinal disease using laser spectroscop
Aerodynamic modelling of Saab 340B development using binary particle swarm optimization
Get PDFhis paper follows-up previous work on the development of a high-fidelity Saab 340B aerodynamic model using system identification methods. In the prior work, Saab 340B flight tests were carried out using different excitations on the control surfaces. The flight test data was collected at predefined trim points. Thrust forces and moment were obtained using the propeller efficiency map provided by the manufacturer. The equation and output error methods were employed to analyse flight test data to estimate aerodynamic parameters in the time domain. This paper follows-up previous work on the development of a high-fidelity Saab 340B aerodynamic model using system identification methods. In the prior work, Saab 340B flight tests were carried out using different excitations on the control surfaces. The flight test data was collected at predefined trim points. Thrust forces and moment were obtained using the propeller efficiency map provided by the manufacturer. The equation and output error methods were employed to analyse flight test data to estimate aerodynamic parameters in the time domain. The paper extends the work to select independent variables in the equation error method in an optimal way using binary particle swarm to determine the best subset of independent variables. The impact of the hyperparameters of the binary PSO approach such as the transfer function scheme, inertia weight updating strategy, and the value of acceleration coefficients is investigated.This research was funded by the UK Research and Innovation under the Powerplant Integration of Novel Engine Systems (PINES) project (Rolls-Royce).AIAA SCITECH 2024 Foru
Data for the paper A modular multifidelity approach for multiphysics oleo-pneumatic shock absorber simulations
No full textLanding Advances for a New Decade One "LANDOne
Reading and understanding house numbers for delivery robots using the βSVHN Datasetβ
Get PDFDetecting street house numbers in complex environments is a challenging robotics and computer vision task that could be valuable in enhancing the accuracy of delivery robots' localisation. The development of this technology also has positive implications for address parsing and postal services. This project focuses on building a robust and efficient system that deals with the complexities associated with detecting house numbers in street scenes. The models in this system are trained on Stanford University's SVHN (Street View House Numbers) dataset. By fine-tuning the YOLO's (You Only Look Once) nano model results with an effective detection range from 1.02 meters to 4.5. The optimum allowance for angle of tilt was Β±15Β°. The inference resolution was obtained to be 2160 * 1620 with inference delay of 35 milliseconds.2024 IEEE International Conference on Industrial Technology (ICIT