Bio inspired algorithms for Injection Moulding Optimization
Social behaviors of living organisms found in nature,like food searching,environment fitness and survival are inspiration for meta-heuristic mathematical models.Replicating these natural organism behaviors,several optimization algorithms have been developed and applied to technological processes.In this work,some nature inspired algorithms are applied to the injection problem in order to optimize the injection runners geometry,so that the overall cycle time is minimized.A key issue is the injection moulding process,as it strongly determines the cost per part.A global optimization strategy was implemented for the injection moulding cycle time,covering the main steps of process,filling time,cooling time,packing time and opening time.To achieve the optimum solution for each design variable and obtain the best time solution overall,it will enable to evaluate optimality,robustness,convergence,and variables dispersion for each used algorithm.
Injection Cycle Time Injection Moulding Injection Runners Optimization Nature inspired algorithms
Pedro Carreira Nuno Alves Carina Ramos Paulo J.Bártolo
Center for Rapid and Sustainable Development of Product, Centro empresarial da Marinha Grande, Rua de Portugal-Zona Industrial, 2430-028 Marinha-Grande, Portugal
国际会议
北京
英文
771-774
2012-12-16（万方平台首次上网日期，不代表论文的发表时间）