A fuzzy control based strategy for adjusting band blade feed rate in constant power sawing

Abstract The variable cross-sectional shape of the blank reduces the efficiency of the sawing machine. Additionally, the wear of the band saw blade causes a mismatch between the feed rate and the load, further exacerbating the wear. This study studied a feed rate control strategy considering sawtooth wear to balance the relationship between cutting efficiency and band life. Initially, speed parameters for the cut-in and cut-out areas, along with acceleration and deceleration control algorithms, were established to ensure the smooth transition of the saw blade during the machining process. Additionally, a constant power sawing feed rate model that considers the influence of wear was developed, enabling dynamic adjustments to the feed rate based on the saw blade’s wear state. This study also proposes a fuzzy control-based target current correction method, which dynamically adjusts the target current according to the current wear state of the saw blade, ensuring that sawing requirements were met under varying levels of wear. The accuracy of the sawing model and control strategy was verified through experiments. The results demonstrated that this strategy improved efficiency by 44% compared to the traditional uniform feed rate method. This study introduced a novel feed rate control strategy for sawing and offers an effective solution to the problem of saw tooth wear.

Authors

Institutions

Publication Details

Journal
Measurement Science and Technology
Published
2024-10-31
DOI
https://doi.org/10.1088/1361-6501/ad8d72
Citations
2
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A fuzzy control based strategy for adjusting band blade feed rate in constant power sawing

Wenzhang Yang, Xiaoliang Cheng, Jigang Wu, Jiahao Fu et al.
2 citations
Measurement Science and Technology
Advanced machining processes and optimization
0.43
article

A fuzzy control based strategy for adjusting band blade feed rate in constant power sawing

Wenzhang Yang, Xiaoliang Cheng, Jigang Wu, Jiahao Fu, Bing Chen, Zihao Liu, Guoyue Liu, Yuzhen Jia, Dongliang Li
article en
2 citations

Abstract

Abstract The variable cross-sectional shape of the blank reduces the efficiency of the sawing machine. Additionally, the wear of the band saw blade causes a mismatch between the feed rate and the load, further exacerbating the wear. This study studied a feed rate control strategy considering sawtooth wear to balance the relationship between cutting efficiency and band life. Initially, speed parameters for the cut-in and cut-out areas, along with acceleration and deceleration control algorithms, were established to ensure the smooth transition of the saw blade during the machining process. Additionally, a constant power sawing feed rate model that considers the influence of wear was developed, enabling dynamic adjustments to the feed rate based on the saw blade’s wear state. This study also proposes a fuzzy control-based target current correction method, which dynamically adjusts the target current according to the current wear state of the saw blade, ensuring that sawing requirements were met under varying levels of wear. The accuracy of the sawing model and control strategy was verified through experiments. The results demonstrated that this strategy improved efficiency by 44% compared to the traditional uniform feed rate method. This study introduced a novel feed rate control strategy for sawing and offers an effective solution to the problem of saw tooth wear.

Measurement Science and TechnologyVol. 36(1)
Hunan University of Science and Technology (CN), Hubei University of Automotive Technology (CN), Department of Science and Technology of Hunan Province (CN)
Openalex Percentile: Top 41%
Advanced machining processes and optimization
0.43
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.