Evaluation Method of the Band Saw Blade Wear State Based on Current Signals.

Dongliang Li, Bing Chen, Jiahao Fu, Zihao Liu, Junchang Liu, Wenchu Ou, Guoyue Liu

Abstract read

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Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Dongliang LiHunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, College of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.

Bing ChenBichamp Cutting Technology (Hunan) Co., Ltd., Changsha 410200, China.

Jiahao FuHunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, College of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.

Zihao LiuHunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, College of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.

Junchang LiuHunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, College of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.

Wenchu OuHunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, College of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.

Guoyue LiuBichamp Cutting Technology (Hunan) Co., Ltd., Changsha 410200, China.

Funding

National Natural Science Foundation of China 52175401

6 · The paper itself

Abstract

The band saw blade is distinguished by its multi-point and flexible cutting capability when sawing materials. Its wear form is significantly more intricate than that of traditional cutting tools, such as the lathe tool and the milling cutter. Preliminary experimental observations suggest a close correlation between the wear of band saw blades and the motor current of the driving wheel. Therefore, this study evaluates the wear condition of band saw blades using current signals. A mathematical correlation model was established between the driving wheel motor current signals and the load on the band saw. A comprehensive experimental study was conducted on the band saw blade, encompassing the entire lifecycle of sawing operations. The average wear width of the tooth tip was utilized as an indicator of tooth wear, and an investigation was conducted into the correlation between the driving wheel motor current signals and the wear state. The findings indicated that the driving wheel motor current signals could be utilized to assess the blade wear state with high precision, which would facilitate proactive maintenance and replacement strategies to optimize band saw performance and service life.

Indexed as

band sawingcurrent signalsawing force modelwear state

Identifiers

PMID42124259

DOI10.3390/ma19091853

PMCPMC13165384

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.