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Professor David Branson's Outputs (54)

Optical metrology for digital manufacturing: A review (2021)
Presentation / Conference Contribution
Catalucci, S., Thompson, A., Eastwood, J., Piano, S., Branson, D. T., & Leach, R. (2021, November). Optical metrology for digital manufacturing: A review. Presented at 3DMC, Online event

The so-called 4th Industrial Revolution is defined by the transformation of individual manufacturing activities into interconnected, highly efficient, flexible, and automated production flows. In this context, manufacturing processes are moving from... Read More about Optical metrology for digital manufacturing: A review.

Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device” (2021)
Journal Article
Lakoju, M., Ajienka, N., Khanesar, M. A., Burnap, P., & Branson, D. T. (2021). Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”. Sensors, 21(15), Article 4991. https://doi.org/10.3390/s21154991

To create products that are better fit for purpose, manufacturers require new methods for gaining insights into product experience in the wild at scale. “Chatty Factories” is a concept that explores the transformative potential of placing IoT-enabled... Read More about Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”.

A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis (2021)
Journal Article
Alruqi, M., Baumers, M., Branson, D., & Farndon, R. (2021). A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis. Management Systems in Production Engineering, 29(3), 165-177. https://doi.org/10.2478/mspe-2021-0021

Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product... Read More about A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis.

Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach (2021)
Journal Article
Khanesar, M. A., Lu, J., Smith, T., & Branson, D. (2021). Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach. Energies, 14(12), 1-18. https://doi.org/10.3390/en14123591

Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of rene... Read More about Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach.

Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data (2021)
Journal Article
Khanesar, M. A., & Branson, D. T. (2021). Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data. IEEE Sensors Journal, 21(12), 13815-13827. https://doi.org/10.1109/JSEN.2021.3067841

This paper presents a novel approach to identify the prediction interval associated with data using interval type-2 fuzzy logic systems with support vector regression. For such a purpose, a constrained quadratic objective function is defined which is... Read More about Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data.

Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism (2020)
Journal Article
Karim, S., Piano, S., Branson, D., Santoso, T., Leach, R., & Tolley, M. (2022). Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism. International Journal of Control, 95(4), 867-885. https://doi.org/10.1080/00207179.2020.1827297

This paper presents a real-time position control solution for the targets used in the high-repetition rate laser operations of large-scale high-power laser facilities. The design of the control system is based on an Abbe-compliant, in-process positio... Read More about Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism.

XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications (2020)
Journal Article
Ahmadieh Khanesar, M., Bansal, R., Martínez-Arellano, G., & Branson, D. (2020). XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications. Applied Sciences, 10(8), Article 6451. https://doi.org/10.3390/app10186451

Industry 4.0 is the fourth generation of industry which will theoretically revolutionize manufacturing methods through the integration of machine learning and artificial intelligence approaches on the factory floor to obtain robustness and sped-up pr... Read More about XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications.

Support Vector Regression for Multi-objective Parameter Estimation of Interval Type-2 Fuzzy Systems (2020)
Book Chapter
Ahmadieh Khanesar, M., & Branson, D. (2020). Support Vector Regression for Multi-objective Parameter Estimation of Interval Type-2 Fuzzy Systems. In Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 1 (97-108). Springer Verlag. https://doi.org/10.1007/978-981-15-3290-0_8

© 2020, Springer Nature Singapore Pte Ltd. This paper presents a support vector regression-based multi-objective parameter estimation method for interval type-2 fuzzy systems, which deals with prediction interval rather than its crisp output value. S... Read More about Support Vector Regression for Multi-objective Parameter Estimation of Interval Type-2 Fuzzy Systems.

Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness (2020)
Journal Article
Yang, C., Geng, S., Walker, I., Branson, D. T., Liu, J., Dai, J. S., & Kang, R. (2020). Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness. International Journal of Robotics Research, 39(14), 1620-1634. https://doi.org/10.1177/0278364920913929

Continuum robots exhibit promising adaptability and dexterity for soft manipulation due to their intrinsic compliance. However, this compliance may lead to challenges in modeling as well as positioning and loading. In this paper, a virtual-work based... Read More about Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness.

Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism (2020)
Journal Article
Leach, R., Branson, D., Karim, S., Tolley, M., Piano, S., & Santoso, T. (2020). Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism. International Journal of Control, 95(4), 867-885. https://doi.org/10.1080/00207179.2020.1827297

This paper presents a real-time position control solution for the targets used in the high-repetition rate laser operations of high-power laser facilities. The control system is designed based on an Abbe-compliant, in-process position measurement sys... Read More about Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism.

Closed Loop Force Control of In-Situ Machining Robots using Audible Sound Features (2019)
Journal Article
Alatorre, D., Rabani, A., Axinte, D., & Branson, D. T. (2020). Closed Loop Force Control of In-Situ Machining Robots using Audible Sound Features. Mechanical Systems and Signal Processing, 136, Article 106517. https://doi.org/10.1016/j.ymssp.2019.106517

Detecting, measuring and controlling the forces between cutting tools and machined components is essential in circumstances where direct position control (e.g. depth of cut, feed speed, etc.) is inaccurate and/or impossible. This paper explores the u... Read More about Closed Loop Force Control of In-Situ Machining Robots using Audible Sound Features.

Task space-based orientability analysis and optimization of a wire-driven continuum robot (2019)
Journal Article
Wang, C., Geng, S., Branson, D. T., Yang, C., Dai, J. S., & Kang, R. (2019). Task space-based orientability analysis and optimization of a wire-driven continuum robot. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(23-24), 7658-7668. https://doi.org/10.1177/0954406219889083

Compared to traditional rigid robots, continuum robots have intrinsic compliance and therefore behave dexterously when performing tasks in restricted environments. Although there have been many researches on the design and application of continuum ro... Read More about Task space-based orientability analysis and optimization of a wire-driven continuum robot.

The influence of control vanes on pneumatic conveying of pulverised fuel at a trifurcator (2019)
Journal Article
Abubakar, I., Giddings, D., Panorios, B., Branson, D., Lad, N., & Townsend, S. (2020). The influence of control vanes on pneumatic conveying of pulverised fuel at a trifurcator. Powder Technology, 362, 197-207. https://doi.org/10.1016/j.powtec.2019.11.111

© 2019 Elsevier B.V. Distribution of pulverised fuels in pneumatic conveying to conventional boilers is an ongoing research area with the intention of improving the performance of power-generating plants. One of the major challenges is the issue of o... Read More about The influence of control vanes on pneumatic conveying of pulverised fuel at a trifurcator.

XOR Binary Gravitational Search Algorithm (2019)
Presentation / Conference Contribution
Khanesar, M. A., & Branson, D. (2019, October). XOR Binary Gravitational Search Algorithm. Presented at 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy

In this paper, an XOR binary gravitational search algorithm is introduced. Gravitational search algorithms, a physics inspired optimization algorithm, have previously been successfully applied to different real-valued optimization problems. In their... Read More about XOR Binary Gravitational Search Algorithm.

A Lumped-Mass Model for Large Deformation Continuum Surfaces Actuated by Continuum Robotic Arms (2019)
Journal Article
Habibi, H., Yang, C., Godage, I. S., Kang, R., Walker, I. D., & Branson, D. T. (2020). A Lumped-Mass Model for Large Deformation Continuum Surfaces Actuated by Continuum Robotic Arms. Journal of Mechanisms and Robotics, 12(1), 1-12. https://doi.org/10.1115/1.4045037

Currently, flexible surfaces enabled to be actuated by robotic arms are experiencing high interest and demand for robotic applications in various areas such as healthcare, automotive, aerospace, and manufacturing. However, their design and control th... Read More about A Lumped-Mass Model for Large Deformation Continuum Surfaces Actuated by Continuum Robotic Arms.

Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin (2019)
Presentation / Conference Contribution
Bansal, R., Ahmadieh Khanesar, M., & Branson, D. (2019, September). Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin. Presented at 2019 25th International Conference on Automation and Computing (ICAC), Lancaster, UK

Advanced manufacturing that is adaptable to constantly changing product designs often requires dynamic changes on the factory floor to enable manufacture. The integration of robotic manufacture with machine learning approaches offers the possibility... Read More about Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin.

Image processing algorithm to determine an optimised 2D laser cutting trajectory (2019)
Presentation / Conference Contribution
Syam, W. P., Bansal, R., Benardos, P., Britchford, E., Hopkinson, A., Voisey, K., & Branson, D. T. (2019, September). Image processing algorithm to determine an optimised 2D laser cutting trajectory. Presented at 25th IEEE International Conference on Automation & Computing (ICAC'19), Lancaster, UK

Laser cutting processes offer high-quality and fast cutting capability across a wide variety of materials, including metals, plastics and organic tissues. To enable 2D laser cutting process, a set of (x, y) Cartesian coordinates that form a cutting t... Read More about Image processing algorithm to determine an optimised 2D laser cutting trajectory.

Kinematics and statics of eccentric soft bending actuators with external payloads (2019)
Journal Article
Yang, C., Kang, R., Branson, D. T., Chen, L., & Dai, J. S. (2019). Kinematics and statics of eccentric soft bending actuators with external payloads. Mechanism and Machine Theory, 139, 526-541. https://doi.org/10.1016/j.mechmachtheory.2019.05.015

Soft bending actuators, born with the considerable capacity of structural flexibility and environmental adaptability, have been widely favored for years. However, the highly nonlinear coupling between force and deformation in such robots are very com... Read More about Kinematics and statics of eccentric soft bending actuators with external payloads.