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Process variable

About: Process variable is a research topic. Over the lifetime, 3983 publications have been published within this topic receiving 43130 citations. The topic is also known as: process parameter.


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Patent
Yoshio Sato1, Nobuo Kurihara1, Nomura Masahide1, Shigeyoshi Kawano1, Tadayoshi Saito1 
23 May 1979
TL;DR: In this article, the adaptive control of a process in which a feed forward control signal corresponding to a process demand is calculated according to a predetermined algebraic function, while a feedback correction signal is calculated on the basis of an error of the process feedback signal indicative of a controlled variable from a predetermined setting, and the controlled variable is controlled on the sum of these two signals.
Abstract: A system and method for the adaptive control of a process in which a feed forward control signal corresponding to a process demand is calculated according to a predetermined algebraic function, while a feedback correction signal is calculated on the basis of an error of a process feedback signal indicative of an error of a controlled variable from a predetermined setting, and the controlled variable of the process is controlled on the basis of the sum of these two signals. The adaptive control is such that, when a set point of the function deviates from the actual process demand, a value corresponding to the error appears in the feedback correction signal, and this value is used for automatically modifying the function itself to ensure the adaptive control of the process. A determination is made whether or not the process is in the steady state and when steady state operation is determined, the function of the feed forward control signal is modified.

43 citations

Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate that process response variables e.g., maximum process temperature and the thermal history can be predicted by surrogate models, which are created by a Design of Experiments approach.
Abstract: Laser-assisted thermoplastic automated tape placement (LATP) enables the additive manufacturing of composites. The quality of parts depends on the temperature distribution during processing and on the thermal history of the laminate. We demonstrate that process response variables e.g., maximum process temperature and the thermal history can be predicted by surrogate models. These models are analytical models, which are created by a Design of Experiments approach. They are evaluated in real time and allow for the fast prediction of process responses as a function of different process parameters. The models are based on data, which are obtained by computer experiments with a 2D simulation model of the LATP process. The surrogate models were applied to analyze the effects of process parameter variations. The laser power and placement velocity were found to be most influential. The capability to make these process predictions in real-time presumably improves manufacturing of complex shaped parts.

43 citations

Journal ArticleDOI
01 Jun 2020
TL;DR: The dimensional accuracy of a simple benchmark specimen fabricated with fused filament fabrication (FFF) route is discussed in this article, where the printing parameters selected included number of shells, printing temperature, infill rate and printing pattern; they were selected in accordance with relevant studies already published.
Abstract: The dimensional accuracy of a simple benchmark specimen fabricated with fused filament fabrication (FFF) route is discussed in the present study. FFF is a low-cost 3D-printing process that builds complicated parts by extruding molten plastic. Experimental method was designed according to Taguchi robust design based on an orthogonal array with nine experiments (L9 orthogonal array). The printing material was the polylactic acid (PLA). First, Grey–Taguchi method was used for the identification of the optimal printing parameter levels which result in the best dimensional accuracy for the PLA FFF parts. The printing parameters selected included number of shells, printing temperature, infill rate and printing pattern; they were selected in accordance with relevant studies already published. Then, in the second phase, nine specimens were fabricated using the same optimal printing parameter values determined in the first phase. The tolerance of these specimens was characterized according to international tolerance grades (IT grades). Data analysis showed that nozzle temperature is the dominant parameter. Additionally, the parts printed using the optimized process parameter levels possess good dimensional accuracy, which is compatible with the IT grades specification.

43 citations

Journal ArticleDOI
TL;DR: In this paper, a hybrid technique of ANN and different optimization algorithms was used for the effective process modelling, and also to illustrate the correlation between the input and output responses of the friction welding of Incoloy 800H.

43 citations

Journal ArticleDOI
TL;DR: Nanofluid minimum quantity lubrication is an environmental friendly, resource-saving, and sustainable process compared with traditional flood lubrication as mentioned in this paper, especially, it is widely applied in diffic...
Abstract: Nanofluid minimum quantity lubrication is an environmental-friendly, resource-saving, and sustainable process compared with traditional flood lubrication. Especially, it is widely applied in diffic...

43 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202329
202266
2021289
2020318
2019281
2018274