2022
DOI: 10.1108/rpj-12-2020-0313
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Electrothermal response optimization of nozzle structure for multi-material rapid prototyping based on fuzzy adaptive control

Abstract: Purpose Most rapid prototyping (RP) relies on energy fields to handle materials, among which electricity has been much more utilized, resulting in distinctive responsiveness of non-linear, overshoot, variable inertia, etc. The purpose of this paper is to eliminate the drawbacks of array nozzle clogging, stringing, melt sagging, particularly in multi-material RP, by focusing on the electrothermal response so as to adaptively distribute thermal more accurate, rapid and balanced. Design/methodology/approach Thi… Show more

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Cited by 10 publications
(5 citation statements)
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“…After robust control is considered, the population is iteratively optimized. In previous research [ 25 ], the membership function was defined according to expert experience. It was defined as the membership rule of initial standardization.…”
Section: Methodsmentioning
confidence: 99%
“…After robust control is considered, the population is iteratively optimized. In previous research [ 25 ], the membership function was defined according to expert experience. It was defined as the membership rule of initial standardization.…”
Section: Methodsmentioning
confidence: 99%
“…The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/1355-2546.htm developed as secondary processes to ameliorate the surface integrity and dimensional accuracy of the printed parts (Hashmi et al, 2023a;Tiwary et al, 2022a). The preprocessing techniques are divided into the optimization of printing machine structure (Chu et al, 2021;Marion et al, 2023;Xu et al, 2022) and feedstock filament (Dontsov et al, 2020;Ginoux et al, 2023;Yan et al, 2023), printing strategy optimization (Afsharkohan et al, 2023;Côt e et al, 2023;Jiang et al, 2022;Wang et al, 2021) including printing path, printing speed, build orientation and layer thicknessand slicing optimization methods (Mosleh et al, 2023;Nayyeri et al, 2022;Vinoth Babu et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…There are many control methods have been presented so far. For example, the sliding mode control applying in uncertain systems with known relative degree, 18 adaptive backstepping control for the mean temperature, 19 passive control of unsteady condensation shock wave, 20 active control for a flexible plate in restraining the plate vibration, 21 and fuzzy adaptive control of nozzle structure for multi-material rapid prototyping, 22 etc. Thus, finally, two hyperchaos control methods are given.…”
Section: Introductionmentioning
confidence: 99%