Experimental modeling study demonstrates cutting parameter optimization reduces milling forces in bamboo processing, indicating a pathway to improve machining quality and reduce tool wear.
In the manufacturing industry, cutting force is the primary factor affecting bamboo milling. Excessive cutting force can increase tool wear and affect processing quality, processing energy consumption, and processing stability. Cutting parameters have significant impacts on cutting forces. The cutting force is also one of the important indexes for evaluating machining performance. This article uses response surface methodology to study the influence of different cutting parameters on the cutting force during the bamboo milling process. Moreover, the importance of cutting parameters to cutting forces was determined by variance analysis, corresponding mathematical models were established, and the interaction between cutting parameters and cutting forces was analyzed to optimize the bamboo milling process. On this basis, the cutting parameter combination corresponding to the optimal milling process under experimental conditions was determined and experimentally verified. The prediction accuracy was high and the test optimization was good. Therefore, the proposed method can be used to predict and optimize the actual cutting force, providing a scientific basis for high-quality processing of bamboo milling.
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Liu et al. (2026) studied this question.
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