Kumar Reddy Kurre Prasanth, Kumar S Ramesh, Nageswara Rao Boggarapu
Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur, 522302, India.
Heliyon. 2024 Jul 26;10(15):e35373. doi: 10.1016/j.heliyon.2024.e35373. eCollection 2024 Aug 15.
This study was on optimization of the cutting processes for corn stalks, which serve as significant sources of biomass and forage. The reduction of cutting force is crucial for enhancing energy efficiency. Cutting velocity rises, which can lead to significant power usage with minimal shear forces. Therefore, the objective is to minimize both the cutting force and power consumption. To address this multi-objective optimization problem, a modified Taguchi method was employed. Chauvenet's criterion was used to assess the validity of statistical scatter in repeated test data. The test samples had an 81 % moisture content. Through analysis of variance (ANOVA), the optimal chopping process parameters were identified as velocity of 4.4 m/s, approach angle of 30°, and feeding angle of 50°. The refined empirical relationships indicated that the cutting force ranges from 180.55 N to 393.37 N, while the cutting power ranges from 16.81 W to 44.05 W. In a single test, the output responses for the optimal parameter set were 26.32 W for power consumption and 242.60 N for cutting force, both are within the estimated range. The considerable scatter observed in repeated test data is likely due to variations in corn stalk thickness. These findings are valuable for the operation of chopping machines, ensuring minimal cutting force and power consumption when handling corn stalks residues.
本研究旨在优化玉米秸秆的切割工艺，玉米秸秆是生物质和饲料的重要来源。降低切割力对于提高能源效率至关重要。切割速度提高，可能导致在剪切力最小的情况下功率消耗显著增加。因此，目标是使切割力和功耗最小化。为了解决这个多目标优化问题，采用了改进的田口方法。使用 Chauvenet 准则评估重复测试数据中统计散点的有效性。测试样品的含水量为 81%。通过方差分析（ANOVA），确定最佳切碎工艺参数为速度 4.4 m/s、进刀角度 30°和喂入角度 50°。精确的经验关系表明，切割力范围为 180.55 N 至 393.37 N，而切割功率范围为 16.81 W 至 44.05 W。在一次测试中，最佳参数集的输出响应为功耗 26.32 W 和切割力 242.60 N，均在估计范围内。在重复测试数据中观察到的较大散点可能是由于玉米秸秆厚度的变化。这些发现对于切碎机的操作很有价值，可确保在处理玉米秸秆残渣时切割力和功耗最小。
