Multi-objective Optimization Strategies

Show simple item record Mwema, Fredrick Madaraka Akinlabi, Esther Titilayo 2020-06-03T08:24:53Z 2020-06-03T08:24:53Z 2020-05-30
dc.identifier.citation Mwema F.M., Akinlabi E.T. (2020) Multi-objective Optimization Strategies. In: Fused Deposition Modeling. SpringerBriefs in Applied Sciences and Technology. Springer, Cham en_US
dc.identifier.isbn 978-3-030-48258-9
dc.identifier.isbn 978-3-030-48259-6
dc.description.abstract In this chapter, multi-objective optimization as a strategy for quality production of parts through fused deposition modelling is presented. Various techniques used in undertaking the multi-objective optimization process are described based on case studies from the literature and the authors’ data. The general algorithms for multi-objective optimization of the FDM process are described. The most significant objectives of the various optimization cases are identified and described in relation to the quality of the fused deposition modelling of parts. The main objectives for optimizing fused deposition process are (i) to increase the rate of production, (ii) to reduce material wastage and utilize as minimum material as possible, (iii) save on the cost of power consumption during printing and (iv) achieve the highest quality of FDM parts. en_US
dc.language.iso en en_US
dc.publisher Springer, Cham en_US
dc.subject 3D printing en_US
dc.subject Fused deposition modelling en_US
dc.subject Genetic algorithms en_US
dc.subject Grey relational degree en_US
dc.subject Multi-objective optimization en_US
dc.subject Pareto en_US
dc.subject Printing parameters en_US
dc.title Multi-objective Optimization Strategies en_US
dc.type Book chapter en_US

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