Automatic Optimization of Screw Configuration of an Intermeshing Co-rotating Twin Screw Extruder using Artificial Intelligence Algorithm
نویسندگان
چکیده
منابع مشابه
Modeling of Transport Phenomena and Melting Kinetics of Starch in a Co-Rotating Twin-Screw Extruder
A mathematical model was developed to simulate fluid flow, heat transfer, and melting kinetics of starch in a co-rotating intermeshing twin-screw extruder (TSE). The partial differential equations governing the transport phenomena of the biomaterial in the extruder were solved by a finite element scheme. For validating the model, the predicted product pressure, bulk temperature at the entrance ...
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Simulation results for mixing of two different polymers in a co-rotating twin-screw extruder are presented. Velocity distribution predicted by a threedimensional simulation of the flow is used to predict the change in the spatial distribution of initially segregated particles as well as the reduction in radius due to erosion. The predicted particle distribution is used to estimate the increase ...
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an ultra-glide twin screw extruder is employed to allow the quick and easy removal of the screws from the fixed processing section within few seconds, probing the current degree of the melting state, the dispersive anddistributive processing steps and finally the level of morphology development along extruder screws. for morphological studies the molten samples, collected from different points ...
متن کاملOptimization of Co-rotating Twin-Screw Extruders Using Pareto Local Search
A Pareto Local Search (PLS) algorithm was developed and applied to the screw configuration of co-rotating twin-screw extruders. This problem can be seen as a sequencing problem where a set of different screw elements are to be sequentially positioned along the screw in order to maximize the extruder performance. The results obtained were compared with previous results obtained with a Multi-Obje...
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ژورنال
عنوان ژورنال: Seikei-Kakou
سال: 2018
ISSN: 0915-4027,1883-7417
DOI: 10.4325/seikeikakou.30.162