Dynamic Cutting Force Prediction Model and Experimental Investigation of Ultrasonic Vibration-Assisted Sawing
Yangyu Wang, Yao Wang, Pengcheng Ni, Shibiao Qu, Qiaoling Yuan, Hui Wang, Xiaojun Lei, Jianfeng Wang, Yizhi Wang
TL;DR
This paper introduces a new model for predicting cutting forces in ultrasonic vibration-assisted band sawing, improving efficiency and surface quality.
Contribution
A novel dynamic cutting force prediction model incorporating ultrasonic vibration effects is developed and experimentally validated.
Findings
The proposed model achieves an average relative error of 5.44% in predicting dynamic cutting forces.
Ultrasonic vibration-assisted sawing reduces cutting force by 15% and feed force by 18%.
Surface roughness is decreased by about 21%, enhancing sawing efficiency and quality.
Abstract
In conventional band sawing, the long-span compression of the flexible saw blade often results in large fluctuations in cutting force, low cutting efficiency, and poor force predictability. To address these issues, this study investigates the dynamic cutting force modeling and experimental validation of ultrasonic vibration-assisted band sawing using 304 stainless steel as the workpiece material. Based on an analysis of the band sawing mechanism, an ultrasonic vibration-assisted approach is proposed to modify the contact conditions between the saw blade and the workpiece. A dynamic model of the saw blade is established using the string vibration equation, and a multi-tooth dynamic cutting force prediction model is further developed by incorporating variable cutting depth characteristics under ultrasonic vibration. Comparative experiments are conducted between conventional sawing and…
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Taxonomy
TopicsTunneling and Rock Mechanics · Advanced machining processes and optimization · Advanced Surface Polishing Techniques