Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process

Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process

The stability of the proportional–integral–derivative (PID) control of temperature in the spark plasma sintering (SPS) process is investigated. The PID regulations of this process are tested for different SPS tooling dimensions, physical parameters conditions, and areas of temperature control. It is...

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Main Authors: Charles Manière, Geuntak Lee, Eugene A. Olevsky
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Results in Physics
Online Access:http://www.sciencedirect.com/science/article/pii/S221137971730061X
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spelling doaj-8c0b846de09843a496a3515e2f83afb12020-11-25T01:18:35ZengElsevierResults in Physics2211-37972017-01-01714941497Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering processCharles Manière0Geuntak Lee1Eugene A. Olevsky2Powder Technology Laboratory, San Diego State University, San Diego, USA; Corresponding author at: Powder Technology Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-1323, USA.Powder Technology Laboratory, San Diego State University, San Diego, USA; Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, USAPowder Technology Laboratory, San Diego State University, San Diego, USA; NanoEngineering, University of California, San Diego, La Jolla, USAThe stability of the proportional–integral–derivative (PID) control of temperature in the spark plasma sintering (SPS) process is investigated. The PID regulations of this process are tested for different SPS tooling dimensions, physical parameters conditions, and areas of temperature control. It is shown that the PID regulation quality strongly depends on the heating time lag between the area of heat generation and the area of the temperature control. Tooling temperature rate maps are studied to reveal potential areas for highly efficient PID control. The convergence of the model and experiment indicates that even with non-optimal initial PID coefficients, it is possible to reduce the temperature regulation inaccuracy to less than 4 K by positioning the temperature control location in highly responsive areas revealed by the finite-element calculations of the temperature spatial distribution. Keywords: Spark plasma sintering, Proportional integral derivative, Instability, Regulation, Responsiveness, Thermal contacthttp://www.sciencedirect.com/science/article/pii/S221137971730061X
collection DOAJ
language English
format Article
sources DOAJ
author Charles Manière
Geuntak Lee
Eugene A. Olevsky
spellingShingle Charles Manière
Geuntak Lee
Eugene A. Olevsky
Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
Results in Physics
author_facet Charles Manière
Geuntak Lee
Eugene A. Olevsky
author_sort Charles Manière
title Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
title_short Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
title_full Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
title_fullStr Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
title_full_unstemmed Proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
title_sort proportional integral derivative, modeling and ways of stabilization for the spark plasma sintering process
publisher Elsevier
series Results in Physics
issn 2211-3797
publishDate 2017-01-01
description The stability of the proportional–integral–derivative (PID) control of temperature in the spark plasma sintering (SPS) process is investigated. The PID regulations of this process are tested for different SPS tooling dimensions, physical parameters conditions, and areas of temperature control. It is shown that the PID regulation quality strongly depends on the heating time lag between the area of heat generation and the area of the temperature control. Tooling temperature rate maps are studied to reveal potential areas for highly efficient PID control. The convergence of the model and experiment indicates that even with non-optimal initial PID coefficients, it is possible to reduce the temperature regulation inaccuracy to less than 4 K by positioning the temperature control location in highly responsive areas revealed by the finite-element calculations of the temperature spatial distribution. Keywords: Spark plasma sintering, Proportional integral derivative, Instability, Regulation, Responsiveness, Thermal contact
url http://www.sciencedirect.com/science/article/pii/S221137971730061X
work_keys_str_mv AT charlesmaniere proportionalintegralderivativemodelingandwaysofstabilizationforthesparkplasmasinteringprocess
AT geuntaklee proportionalintegralderivativemodelingandwaysofstabilizationforthesparkplasmasinteringprocess
AT eugeneaolevsky proportionalintegralderivativemodelingandwaysofstabilizationforthesparkplasmasinteringprocess
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