A Study on the Relationship Between Process Parameters and Strip Hardness Based on Correlation Analysis

Optimizing process parameters to control and improve steel strip hardness has become a critical concern for ensuring product quality and process stability in modern industrial production. This study firstly confirms the absence of missing values and performs descriptive statistical analysis. It is found that the strip thickness and width fluctuate between 8020 to 9570 and 180 to 234, respectively, while carbon and silicon contents show greater variability, ranging from 42 to 615 and 0 to 22. Among process parameters, leveler tension shows relatively minor fluctuations, while hardness ranges from 490 to 600, concentrated above 595. Through Pearson correlation analysis, carbon content, quench furnace temperature, strip speed, and thickness exhibit a strong positive correlation with hardness. In contrast, block cooler temperature, homogenizing furnace temperature, and heating furnace temperature show a significant negative correlation. Based on the results, this study suggests further process optimization to enhance the mechanical properties of the strip.

Authors

Institutions

Publication Details

Journal
Mathematical Modeling and Algorithm Application
Published
2024-11-28
DOI
https://doi.org/10.54097/y02xqw89
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Relationship Between Process Parameters and Strip Hardness Based on Correlation Analysis

Yang Liu, Wenjian Wei, Yiliang Huang
4 links
Mathematical Modeling and Algorithm Application
Metallurgy and Material Forming
article

A Study on the Relationship Between Process Parameters and Strip Hardness Based on Correlation Analysis

Yang Liu, Wenjian Wei, Yiliang Huang
article en

Abstract

Optimizing process parameters to control and improve steel strip hardness has become a critical concern for ensuring product quality and process stability in modern industrial production. This study firstly confirms the absence of missing values and performs descriptive statistical analysis. It is found that the strip thickness and width fluctuate between 8020 to 9570 and 180 to 234, respectively, while carbon and silicon contents show greater variability, ranging from 42 to 615 and 0 to 22. Among process parameters, leveler tension shows relatively minor fluctuations, while hardness ranges from 490 to 600, concentrated above 595. Through Pearson correlation analysis, carbon content, quench furnace temperature, strip speed, and thickness exhibit a strong positive correlation with hardness. In contrast, block cooler temperature, homogenizing furnace temperature, and heating furnace temperature show a significant negative correlation. Based on the results, this study suggests further process optimization to enhance the mechanical properties of the strip.

Mathematical Modeling and Algorithm ApplicationVol. 3(2)
Dalian Polytechnic University (CN)
Openalex Percentile: Top 70%
Metallurgy and Material Forming
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.