2008
DOI: 10.1002/app.28251
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Modeling of the residence time distribution in a buss kneader with a back‐propagation neural network

Abstract: With a back-propagation neural network, the residence time distribution (RTD) characteristics in a buss kneader were modeled on a series of experimental RTD data measured by a digital image processing method. The operating conditions (screw speed and feed rate) were chosen as the inputs of the network. The four-layered backpropagation neural network predicted not only the RTD character indices, including the shortest delay time, mean residence time, and variance of distribution, but also the complete RTD curve… Show more

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Cited by 3 publications
(2 citation statements)
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“…[7] This type of RTD measurement that requires prior collection and preparation of the material to be analyzed, known as offline, is more laborious, generates low sampling rates and may not be as accurate. [8] Therefore, many real-time measurement techniques have been developed using a variety of analyzes, [9] such as ultrasound, [10,11] light reflection, [12,13] light transmission, [14] electrical conductivity, [15] fluorescence [16,17] and UV/Vis. [18] However, most of these techniques require drilling some part of the extruder and some are still laborious and expensive.…”
Section: Introductionmentioning
confidence: 99%
“…[7] This type of RTD measurement that requires prior collection and preparation of the material to be analyzed, known as offline, is more laborious, generates low sampling rates and may not be as accurate. [8] Therefore, many real-time measurement techniques have been developed using a variety of analyzes, [9] such as ultrasound, [10,11] light reflection, [12,13] light transmission, [14] electrical conductivity, [15] fluorescence [16,17] and UV/Vis. [18] However, most of these techniques require drilling some part of the extruder and some are still laborious and expensive.…”
Section: Introductionmentioning
confidence: 99%
“…However, achieving acceptable performance also wastes energy and time [13][14][15][16][17][18][19]. In recent years, many scholars and companies have contributed to developing continuous mixers, such as the Farrell continuous mixer, the twin-shaft continuous mixer, the Buss Kneader continuous mixer, and the co-rotating twin screw continuous mixer [20][21][22][23]. Nevertheless, due to the structural limitations of the feeding port of the above continuous mixers, only powdery and granular materials are able to be added, except for block rubber.…”
mentioning
confidence: 99%