Multi-objective optimization of cross-section integrity rate and sawing power consumption in sawing Caragana korshinskii Kom. branches

Gao, Yaoyao; Wang, Yutan; Kang, Feng; Kan, Jiangming

doi:10.1016/j.indcrop.2023.116244

Cited by 3 publications

(5 citation statements)

References 23 publications

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“…When sawing the sugarcane stalk, due to the origin of the partial forces, the tangential force F t and radial force F n are perpendicular to each other in a plane, while the axial force F a is perpendicular to this plane, and the aforementioned three forces are perpendicular to each other pairwise. Therefore, the combined force F on the circular saw blade is as follows [17,25]:…”

Section: Definition Of Test Parametersmentioning

confidence: 99%

“…Zhao et al designed a poplar branch stalk sawing test bench and used the response surface method (RSM) to study the effects of cutting speed, tool edge angle, and tool back angle on the ultimate shear stress, cutting power consumption per unit area, and branch damage rate [16]. Gao et al undertook a study using the response surface method on the effects of sawing speed, feed speed, and circular saw blade tilt angle on the sawing power consumption and cross-sectional integrity rate of Caragana korshinskii Kom [17]. Based on the characteristics of jute, Song et al devised a jute leaf rotating sawing device and employed a multi-factor variance analysis method to examine the effects of leaf angle, leaf tilt angle, sawing speed, and their interactions on the ultimate shear stress and specific sawing energy [18].…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Yan,

Liu,

et al. 2024

Agriculture

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Sugarcane is an important economic crop in tropical and subtropical regions. Presawing planting is an important method for achieving automated and precise planting with sugarcane planting machines. The sawing process is a key stage in planting management, affecting not only the germination and survival rates of sugarcane, but also reflecting the mechanical performance of sawing. To reduce the peak sawing force and enhance the sawing surface quality of sugarcane seedlings, this study utilized a central composite experimental design method. Single-factor and multi-factor experiments were conducted with a specially designed sugarcane stalk sawing experimental rig to investigate the impact of factors such as the stalk diameter feeding speed, and sawing speed on the peak sawing force and sawing surface quality. Upon being developed and validated, multivariate mathematical regression models elucidated the relationships among these factors. The experimental results showed that the order of influence of each factor on the peak sawing force was the stalk diameter, feed speed, and sawing speed, while for the sawing surface quality, the sequence was the sawing speed, stalk diameter, and feed speed. Correspondingly, the determination coefficients for the peak sawing force and sawing surface quality prediction models were 0.9708 and 0.9675. With a maximum error of 7.6% for the peak sawing force and an average relative error of 7.1%, and a maximum error of 3.5% for the sawing surface quality and an average relative error of 2.83%, the calculated results from the regression models were in good agreement with the experimental findings. This indicates that the models are capable of quickly and accurately predicting the peak sawing force and sawing surface quality of sugarcane stalks under different conditions. The research findings provide valuable insights for the development and optimization of sugarcane stalk presawing equipment and related experimental studies.

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Section: Definition Of Test Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Yan,

Liu,

et al. 2024

Agriculture

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“…In order to determine the parameter ranges for the influencing factors, single-factor tests were conducted on the evaluation indicators [28,29]. In the single-factor test for forward speed, the driving shaft speed was 350 rpm, the picking teeth length was 65 mm, and the forward speed range was from 1 km/h to 6 km/h.…”

Section: Single-factor Test Designmentioning

confidence: 99%

“…2 km/h A 3 km/h maximizeA 300 r/min B 450 r/min 60 mm C 70 mm (28) The calculated optimal parameters are a forward speed of 3.99 km/h, a driving shaft speed of 316.53 rpm, and picking teeth length of 70 mm. Under these conditions, the honeysuckle-picking device achieves a picking rate of 79.59%, a breakage rate of 11.46%, and an impurity rate of 14.31%.…”

Section: Response Surface Analysismentioning

confidence: 99%

Design and Test of a Comb-Brush-Type Honeysuckle-Picking Device

Li,

et al. 2023

Agriculture

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In response to the issues of high honeysuckle-picking costs and low efficiency in honeysuckle picking, this study has devised a comb-brush-type picking device, considering the unique characteristics of honeysuckle plants. We elucidated the device’s structure and operational principles and designed critical components within the picking mechanism. Subsequently, through theoretical analysis, we identified the primary factors influencing the device’s operational performance. We then used the honeysuckle picking rates, honeysuckle breakage rates, and impurity rates as assessment metrics. Utilizing a one-factor test, we determined the permissible ranges for each factor. Employing the response surface methodology, we analyzed the interactions among these factors and conducted model parameter optimization. This optimization identified the optimal parameter combination: a forward speed of 3.99 km/h, a driving shaft speed of 316.53 rpm, and a picking teeth length of 70 mm. Finally, we performed verification tests using these optimized parameters. The results demonstrated that the maximum relative error between test verification values and model-optimized predictions was 4.86%. This outcome confirms that the comb-brush-type honeysuckle-picking device can meet the operational requirements of mechanized harvesting and offers valuable insights for developing harvesting devices for vine plants.

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“…Section integrity rate and sawing power were selected as the target values. After adjusting the working parameters, a mathematical regression model was built and the optimal parameter combination was acquired and verified [17]. To solve the problems of serious wear of saw blade and poor cutting effect of sawing surface caused by unreasonable working parameters in sawing, a self-developed branch sawing test bench was used for experimental research.…”

Section: Introductionmentioning

confidence: 99%

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

Luo,

Guo,

Zhi

et al. 2023

Forests

Self Cite

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To realize the reduction in cutting force and guarantee pruning section quality in the pruning and stubble work of Caragana korshinskii (C.K.), a concentric curvilineal edge sliding cutter was proposed and the related cutting characteristics were studied. The impacts of branch diameter (D), cutting speed (Vc), blade wedge angle (β), cutting clearance (c) and moisture content (W) on peak torque (T) and cutting energy (E) with this cutter were explored in single-factor tests. On the basis of the Box—Behnken principle, a multi-factor test was further conducted based on the single-factor tests with Vc, β and c as influencing factors and with T and E as targets, and a regression model was established. Test results indicate that the peak torque (T) increases with the increase in D and β and reduces with the growth of Vc and W; with the increase in c, it reduces first and then rises; the cutting energy (E) increases with the growth of D and β, declines with the increase in W and diminishes first and then rises with the increase in Vc and c. The optimal parameter combination of the regression model was obtained with Vc of 2.16 rad/s, β of 20° and c of 1.0 mm, which resulted in a T of 17.25 N·m and P of 7.03 J. The discrepancies between the observed and forecasted values for T and E are 0.87% and 5.004%. New cutting tool and data support for the development of subsequent C.K. branch stubble equipment can be obtained with this new sliding cutter.

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Multi-objective optimization of cross-section integrity rate and sawing power consumption in sawing Caragana korshinskii Kom. branches

Cited by 3 publications

References 23 publications

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Design and Test of a Comb-Brush-Type Honeysuckle-Picking Device

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

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