Study of Sawing Parameters for Caragana korshinskii (C.K.) Branches

Abstract

To solve the problems of poor sawing surface quality, severe blade wear and high power consumption caused by unreasonable working parameters in the process of Caragana korshinskii (C.K.) stumping, this study explored the effects of branch diameter (D), sawing speed (vc), feeding speed (vf), cutting inclination (α), number of circular saw teeth (T) and moisture content (M) on sawing power consumption (P) and sawing surface quality (A) through a single-factor test using a homemade branch sawing bench. Based on the Box–Behnken design principle, a multi-factor test was carried out based on a single-factor test with vc, vf, α and T as influencing factors and with P and A as targets, establishing a regression model. The test results show that the sawing power consumption (P) increases with increasing D, decreases with increasing M, and decreases first and then increases with increasing vc, vf, α and T; the sawing surface quality (A) increases first and then decreases with increasing D, increases with increasing M, and first increases and then decreases with increasing vc, vf, α and T. The optimum combination of parameters for the regression model was obtained with vc of 45.24 m/s, vf of 0.34 m/s, α of 10° and T of 100, which resulted in the P of 177.46 J and A of 85.87%. The errors between the predicted and actual values of P and A are 3.1% and 6%, respectively. The study can provide information to support the development of subsequent C.K. stubble equipment.

Sliding Cutting and Cutting Parameters of Concentric Curvilineal Edge Sliding Cutter for Caragana korshinskii (C.K.) Branches

“…These research data provide data for the follow-up progression of C.K. stumping props and harvesting equipment [18].…”

Multi-objective optimization of peak cutting force and cutting energy consumption in cutting of Caragana korshinskii branches

“…When the crank speed is stable, the branches are fed at a constant speed by controlling the linear motor controller. Referring to the operating efficiency of the forage harvester (Gao et al 2022;Wu et al 2017;Zhu et al 2021), the feeding speed is selected to be a constant value of 0.35 m/s. The measurement and control system consists of transmitter 24V DC power supply, data acquisition board (MCC-1608G acquisition card, sampling rate 250 ks/s), S-type tension pressure sensor, and computer.…”

“…The coefficients of determination R 2 were 0.9161 and 0.9028, which show high fitting accuracy, indicating that the model could analyze the degree of influence of each factor and predict the optimal value within the range of the test values. Gao et al (2022). "Reciprocating cutting of branches," BioResources 17(4), 6325-6340.…”

“…The errors between the target values of the prediction model and the measured target values under the optimal parameter combination were less than 5%, which verified that the model was reliable. bioresources.com Gao et al (2022). "Reciprocating cutting of branches," BioResources 17(4), 6325-6340.…”

“…The influence of material properties of stalks on cutting mechanical properties has been reported mainly for cutting tests with stalk parts (Aydin and Arslan 2018;Esgici 2020), moisture content , and stem cross-sections (Mathanker et al 2015) as test factors, all of which affect the mechanical properties of stalk cutting. In addition to the material properties of the stalk, structural parameters of the cutting components influence the mechanical properties of the stem using the combination form of cutting blades (Gan et al 2018), cutting type (Qiu et al 2021) and tool parameters (Atkins 2009;Gao et al 2022). The cutting power consumption can be reduced in the case of oblique cutting of stems (Zhang et al 2022).…”