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Room: C77
E-mail: psxlja at cs.nott.ac.uk
I am a Ph.D. Student in the School of Computer Science at the University of Nottingham/UK since 2014, in the Automated Scheduling, Optimisation and Planning Research Group (ASAP). My research has focused on the application of Cutting and Packing methodologies like mathematical modelling and evolutionary algorithms into Additive Manufacturing processes.
Areas of interest: Optimisation; Evolutionary algorithms; Cutting and packing; Three-dimensional Irregular Packing; 3D Printing.
1st supervisor: | Dr. Ender Özcan |
Co-supervisor: | Dr. Jason A. D. Atkin |
Co-supervisor: | Dr. Martin Baumers |
Additive Manufacturing (AM), also known as 3D Printing, is an umbrella term that refers to a set of technologies related to the production of three-dimensional shapes by successively adding horizontal layers of geometry. The benefits of its adoption include the production of complex irregular shapes that can be customized according to user preference and an ability to deposit multiple components concurrently within a build operation. Additional benefits arise through the possibility of precisely estimating build time, raw material utilization, energy consumption and, consequently, total cost.
Considering these characteristics, packing algorithms that are able to handle irregular shapes have been used in the AM workflow in order to determine suitable packing configurations for efficient technology operation.
The effective utilization of the available build volume capacity promotes AM's usefulness as an industrial process by simultaneously reducing the required amount of time, process energy consumption and cost, as well as the number of builds. Therefore, the aim is to conduct scientific research applying AM build volume packing methodologies to increase the efficiency of AM processes by maximizing build volume capacity utilization.
ARAÚJO, LJP, ÖZCAN, E, ATKIN, JAD, BAUMERS, M: Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset. International Journal of Production Research: Taylor & Francis. (2018)
ARAÚJO, LJP, ÖZCAN, E, ATKIN, JAD, BAUMERS, M: A part complexity measurement method supporting 3D Printing. 32nd International Conference on Digital Printing Technologies (NIP). Printing for Fabrication 2016 - Materials, Applications, and Processes.
ARAÚJO, LJP, ÖZCAN, E, ATKIN, JAD, BAUMERS, M, TUCK, C, and HAGUE, R: Toward Better Build Volume Packing in Additive Manufacturing: Classification of Existing Problems and Benchmarks. 2015 Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference.
ARAÚJO, LJP; PINHEIRO, PR: Combining Heuristics Backtracking and Genetic Algorithm to Solve the Container Loading Problem with Weight Distribution. In: Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010). Springer Berlin Heidelberg, 2010. p. 95-102.
ARAÚJO, LJP, PINHEIRO, PR: Applying Heuristics on Integer Linear Programming for Solving the Container Loading Problem. 42nd Simposio Brasileiro de Pesquisa Operacional. (2010)
ARAÚJO, LJP, PINHEIRO, PR: Applying backtracking heuristics for constrained two-dimensional guillotine cutting problems. In: Information Computing and Applications. Springer Berlin Heidelberg, 2011. p. 113-120.
ARAÚJO, LJP, PINHEIRO, PR: A hybrid methodology approach for Container Loading Problem using Genetic Algorithm to maximize the Weight Distribution of cargo. Chapter of the book 'Real-World Applications of Genetic Algorithms', ISBN 978-953-51-0146-8. (2011) [link]
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