Design and Test of a Sliding Cutting Device for the Plastic Mulch Waste

Mengyu Guo (), Bin Hu (), Xin Luo, Chenglin Yuan, Yiquan Cai and Luochuan Xu
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Mengyu Guo: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China
Bin Hu: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China
Xin Luo: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China
Chenglin Yuan: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China
Yiquan Cai: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China
Luochuan Xu: Xinjiang Production and Construction Corps, Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China

Sustainability, 2023, vol. 15, issue 5, 1-18

Abstract: Agricultural mulch waste that is mechanically recycled has a high resource value. It has been found that the mulch is tightly entangled in the crop straw, forming a knotted feature that prevents further resource utilization. Traditional cutting tools were found to be ineffective in breaking up the knotted feature. In response to the above problems, a sliding cutting device for mechanically recovered mulch waste was proposed and built. The structure of the device and key components were designed and analyzed. A three-factor five-level orthogonal test was conducted and regression variance analysis was performed with the Central Composite Design (CCD) module in Design expert 8. The relationship model was constructed between the test factors such as supporting motor speed a , cutting-support rotation speed ratio b , and cutting edge angle c and the response indicators such as film breakage rate y 1 and knotted feature removal rate y 2 . The influence law between each key parameter with its significant interaction and the waste crushing effect was analyzed, and the optimum combination of parameters of the crushing device were obtained. Under the same conditions, the errors between the physical test values and the model prediction values of the two response indicators were 2.17% and 3.52%, respectively, indicating that the verification test results were basically consistent with the model prediction results.

Keywords: the mulch waste recovered mechanically; crushing of waste; the sliding cutter; knotted feature removal; film breakage rate (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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