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

Gao, Yaoyao; Hu, Xiaoyun; Tong, Siyuan; Kan, Jiangming; Wang, Yutan; Kang, Feng

doi:10.15376/biores.17.4.6325-6340

Cited by 4 publications

(3 citation statements)

References 27 publications

(41 reference statements)

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“…Based on the analyses of the force distribution along the planes xy and yz and the determined values of the ratios F c /F c and F w /F c , an optimization was carried out [27,40] with the view of seeking the optimum values of the input parameters of the cutting process based on the optimization criteria provided in Table 9. The results of the optimization are provided in Table 10 as a function of the variable weight value for the force F c and the criterion for the ratios F c /F c and F w /F c .…”

Section: Optimization Of the Selection Of Cutting Process Parametersmentioning

confidence: 99%

“…The authors of the cited work carried out an optimization by applying the multi-parameter Box-Behnken test. The determined optimal values were 0.5 m/s for the linear velocity of the blade, 25 • for the blade angle, 20 • for the rake angle, and 1.4 mm for the offset between the blade and the counter-blade [27]. Zhang et al, (2019), in a study of cutting rice stems, demonstrated that selecting an appropriate angle for blade sharpening and the height of the cutting point had a significant effect on energy consumption.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Study on the Cutting Process of Single Triticale Straws

et al. 2023

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This paper presents experimental research on cutting a single stalk of triticale straw for the production of biofuel in the process of its compaction using the piston technique. In the first stage of the experimental study of cutting single triticale straws, the variable parameters were the moisture contents of the stem equal to 10% and 40%, the offset between the blade and the counter-blade g, and the linear velocity of the knife blade V. The blade angle and rake angle were equal to α = 0° and β = 0°. In the second stage, the variables, including the blade angle values α = 0°, 15°, 30°, and 45° and the rake angle values β = 5°, 15°, and 30°, were introduced. Taking into account the analysis of the distribution of forces on the knife edge leading to the determination of the force quotients Fc″/Fc and Fw/Fc, and on the basis of the optimization performed and the adopted optimization criteria, the optimal knife edge angle α can be determined (at values g = 0.1 mm and V = 8 mm/s) at α ≅ 0° and the angle of attack β within the range of 5–26°. What the value will be in this range depends on the value of the weight adopted in the optimization. The choice of their values may be decided by the constructor of the cutting device.

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Section: Optimization Of the Selection Of Cutting Process Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Cutting Process of Single Triticale Straws

et al. 2023

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“…This allowed for the determination of the optimal parameter values for this process, that is: knife velocity 0.5 m/s, blade angle 25 • , rake angle 20 • and a distance between the blade and the counter-blade of 1.4 mm. For these parameters the cutting-force value was F = 644.38 N [21].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Mechanical Behavior of Dry Corn Stalk Cutting

et al. 2023

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This work presents an experimental study of cutting corn stalks for thermal energy generation. The study was carried out for the values of blade angle in the range of α = 30–80°, distance between the blade and the counter-blade g = 0.1, 0.2, 0.3 mm and the velocity of the blade V = 1, 4, 8 mm/s. The measured results were used to determine shear stresses and cutting energy. The ANOVA variance analysis tool was used to determine the interactions between the initial process variables and the responses. Furthermore, the blade load-state analysis was carried out, together with determining the knife blade strength characteristic, based on the determination criteria for the strength of the cutting tool. Therefore, the force ratio Fcc/Tx was determined as the determinant of strength, and its variance characteristic in the function of the blade angle, α, was used in the performed optimization. The optimization criteria entailed the determination of such values of the blade angle, α, for which the cutting force value, Fcc, and the coefficient of knife blade strength approached the minimum value. Hence, the optimized value of the blade angle, α, within the range 40–60° was determined, depending on the assumed weight parameters for the above-mentioned criteria.

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