Optimization of Formula for Chromium-Free Zinc–Aluminum Coatings Based on Extension Analytic Hierarchy Process

The service performance of chromium-free zinc–aluminum coatings exhibits characteristics from multiple perspectives. Fully considering the physical properties, corrosion resistance, and economic viability of the coatings, this study incorporates the concepts of “domain” and “degree” from extenics theory into the analytic hierarchy process to optimize the formulation of chromium-free zinc–aluminum coatings. The findings reveal that the extension analytic hierarchy process takes into account the diversity of evaluation indicators, enhancing the objectivity and accuracy of the comprehensive evaluation results. Nine formulations were developed using a four-factor, three-level orthogonal experiment to evaluate the effects of metal powder, PEG-400, KH-560, and sodium molybdate on the service performance of chromium-free zinc–aluminum coatings. Utilizing an extensible hierarchical sorting weight system alongside a performance index grading and scoring method, 3# emerged with the highest score, indicating the best overall performance. The research outcomes offer innovative insights and technical support for optimizing the formulations of chromium-free zinc–aluminum coatings and other coatings.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2024-08-23
DOI
https://doi.org/10.3390/app14177476
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Formula for Chromium-Free Zinc–Aluminum Coatings Based on Extension Analytic Hierarchy Process

Wei Tian, Furong Zhu, Xin Yu, Lin Hou et al.
Applied Sciences
Infrastructure Maintenance and Monitoring
article

Optimization of Formula for Chromium-Free Zinc–Aluminum Coatings Based on Extension Analytic Hierarchy Process

Wei Tian, Furong Zhu, Xin Yu, Lin Hou, Yan Tang, Yuhang Gao
article en

Abstract

The service performance of chromium-free zinc–aluminum coatings exhibits characteristics from multiple perspectives. Fully considering the physical properties, corrosion resistance, and economic viability of the coatings, this study incorporates the concepts of “domain” and “degree” from extenics theory into the analytic hierarchy process to optimize the formulation of chromium-free zinc–aluminum coatings. The findings reveal that the extension analytic hierarchy process takes into account the diversity of evaluation indicators, enhancing the objectivity and accuracy of the comprehensive evaluation results. Nine formulations were developed using a four-factor, three-level orthogonal experiment to evaluate the effects of metal powder, PEG-400, KH-560, and sodium molybdate on the service performance of chromium-free zinc–aluminum coatings. Utilizing an extensible hierarchical sorting weight system alongside a performance index grading and scoring method, 3# emerged with the highest score, indicating the best overall performance. The research outcomes offer innovative insights and technical support for optimizing the formulations of chromium-free zinc–aluminum coatings and other coatings.

Applied SciencesVol. 14(17)
Jilin Jianzhu University (CN)
People's Government of Jilin Province
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimization of Formula for Chromium-Free Zinc–Aluminum Coatings Based on Extension Analytic Hierarchy Process — Wei Tian, Furong Zhu, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS