Tytuł:

Multiobjective optimization of multipass turning machining process using the genetic algorithms solution

Twórca:

Patrick Ejebheare Amiolemhen ; Joshua Ahurome Eseigbe

Temat:

turning process ; genetic algorithms ; minimum production cost ; minimum production time ; single-objective ; multi-objective model

Opis:

The study involves the development of multi-objective optimization model for turning machining process. This model was developed using a GA - based weighted-sum of minimum production cost and time criteria of multipass turning machining process subject to relevant technological/practical constraints. The results of the single-objective machining process optimization models for the multipass turning machining process when compared with those of multi-objective machining process model yielded the minimum production cost and minimum production time as $5.775 and 8.320 min respectively (and the corresponding production time and production cost as 12.996min and $6.992, respectively), while those of the multi-objective machining process optimization model were $5.841and 9.097 min. Thus, the multi-objective machining process optimization model performed better than each of the single-objective model for the two criteria of minimum production cost and minimum production time respectively. The results also show that minimum production time model performs better than the minimum production cost model. For the example considered, the multi-objective model gave a lower production time of 30.0% than the corresponding production time obtained from the minimum production cost model, while it gave a lower production cost of 16.46% than the corresponding cost obtained by the minimum production time model.

Miejsce wydania:

Koszalin

Wydawca:

Publishing House of the Koszalin University of Technology

Data:

2019

Typ:

artykuł w czasopiśmie

Format:

application/pdf

Język:

eng

Jest częścią:

Journal of Mechanical and Energy Engineering. Vol.3 (43), nr 2, s. 97-108

Prawa:

Biblioteka Politechniki Koszalińskiej

Prawa dostępu:

internet

Licencja:

Creative Commons BY 4.0