Controlling powder deposition process using fuzzy logic systems

Kesheng Wang; Paul M Akangah; Qingfeng Yuan

doi:10.1007/0-387-34403-9_123

Controlling powder deposition process using fuzzy logic systems

Kesheng Wang
, Paul M Akangah
, Qingfeng Yuan

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

This paper presents an application of Fuzzy Logic Systems (FLS) to control a powder deposition process, which is used for depositing coatings on the surface of products. Four input variables: work piece rotation speed, gun to work piece distance, powder volume pressure and gun current and one output variable, the first-pass transfer efficiency was chosen. Fuzzy rules have been introduced in this study. Results showed that FLS can be easily implemented in a company; and has the capability to increase first-pass transfer efficiency, minimize waste, reduce the time involved in selecting the best combination of application variables for coating jobs and improves savings. © 2006 International Federation for Information Processing.

Original language	English
Pages (from-to)	881-886
Number of pages	6
Journal	IFIP International Federation for Information Processing
Volume	207
DOIs	https://doi.org/10.1007/0-387-34403-9_123
State	Published - Oct 9 2006

Keywords

Fuzzy logic systems
Powder coating
Rule-based inference

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10.1007/0-387-34403-9_123

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title = "Controlling powder deposition process using fuzzy logic systems",

abstract = "This paper presents an application of Fuzzy Logic Systems (FLS) to control a powder deposition process, which is used for depositing coatings on the surface of products. Four input variables: work piece rotation speed, gun to work piece distance, powder volume pressure and gun current and one output variable, the first-pass transfer efficiency was chosen. Fuzzy rules have been introduced in this study. Results showed that FLS can be easily implemented in a company; and has the capability to increase first-pass transfer efficiency, minimize waste, reduce the time involved in selecting the best combination of application variables for coating jobs and improves savings. {\textcopyright} 2006 International Federation for Information Processing.",

keywords = "Fuzzy logic systems, Powder coating, Rule-based inference",

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AU - Wang, Kesheng

AU - Akangah, Paul M

AU - Yuan, Qingfeng

PY - 2006/10/9

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N2 - This paper presents an application of Fuzzy Logic Systems (FLS) to control a powder deposition process, which is used for depositing coatings on the surface of products. Four input variables: work piece rotation speed, gun to work piece distance, powder volume pressure and gun current and one output variable, the first-pass transfer efficiency was chosen. Fuzzy rules have been introduced in this study. Results showed that FLS can be easily implemented in a company; and has the capability to increase first-pass transfer efficiency, minimize waste, reduce the time involved in selecting the best combination of application variables for coating jobs and improves savings. © 2006 International Federation for Information Processing.

AB - This paper presents an application of Fuzzy Logic Systems (FLS) to control a powder deposition process, which is used for depositing coatings on the surface of products. Four input variables: work piece rotation speed, gun to work piece distance, powder volume pressure and gun current and one output variable, the first-pass transfer efficiency was chosen. Fuzzy rules have been introduced in this study. Results showed that FLS can be easily implemented in a company; and has the capability to increase first-pass transfer efficiency, minimize waste, reduce the time involved in selecting the best combination of application variables for coating jobs and improves savings. © 2006 International Federation for Information Processing.

KW - Fuzzy logic systems

KW - Powder coating

KW - Rule-based inference

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JO - IFIP International Federation for Information Processing

JF - IFIP International Federation for Information Processing

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Controlling powder deposition process using fuzzy logic systems

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Keywords

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