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基于仿生微織構(gòu)的電動(dòng)修剪機(jī)刀具磨損性能研究
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廣州市珠江科技新星項(xiàng)目(201710010105)、廣東省自然科學(xué)基金項(xiàng)目(2019A1515011039)、現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術(shù)體系建設(shè)專項(xiàng)資金項(xiàng)目(CARS-31-10)和廣東省山區(qū)特色農(nóng)業(yè)資源保護(hù)與精準(zhǔn)利用重點(diǎn)實(shí)驗(yàn)室項(xiàng)目(2020)


Wear Performance of Electric Pruning Scissors Based on Bionic Micro-structure
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    摘要:

    針對(duì)普通電動(dòng)修剪機(jī)刀具易磨損、崩刃等情況,設(shè)計(jì)了一種蚯蚓仿生微織構(gòu)刀具,以蚯蚓體表形貌為基礎(chǔ),利用激光成型技術(shù)加工刀具表面微織構(gòu),研究激光成型參數(shù)對(duì)成型溝槽幾何尺寸的影響;通過摩擦磨損對(duì)比試驗(yàn)研究了仿生微織構(gòu)刀具和普通刀具的摩擦因數(shù)和磨損情況,分析仿生刀具減磨機(jī)理;通過自制剪切試驗(yàn)平臺(tái)對(duì)不同直徑龍眼樹枝進(jìn)行刀具剪切試驗(yàn),驗(yàn)證仿生刀具減磨特性。研究結(jié)果表明:優(yōu)化后激光成型仿生刀具的工藝參數(shù)為:激光功率75W、激光掃描速度4.8mm/s;仿生刀具微織構(gòu)實(shí)際尺寸為:溝寬138.3μm,溝深33.5μm;與普通刀具相比,載荷400g下溝槽間距1.6mm時(shí)微織構(gòu)仿生刀具表現(xiàn)出最小摩擦因數(shù)02619和體積磨損量616.70mm3,具有明顯減磨特性;隨載荷增加磨損機(jī)制逐漸由黏著磨損、微切削磨損向磨粒磨損和氧化磨損的復(fù)雜磨損形式轉(zhuǎn)變;磨損穩(wěn)定時(shí),溝槽間距1.6mm微織構(gòu)仿生刀具所需剪切次數(shù)50~55次,比普通刀具剪切次數(shù)(45~50次)高5~10次,溝槽間距1.6mm微織構(gòu)仿生刀具在剪切直徑10、15、20mm的樹枝磨損面積穩(wěn)定次數(shù)分別為35~40次、45~50次、50~55次,樹枝直徑越大微織構(gòu)刀具抗磨效果越明顯。

    Abstract:

    A biomimetic microtexture tool for earthworm was designed. Based on the surface morphology of earthworm, the microtexture of tool surface was processed by laser molding technology. The friction coefficient and wear of the bionic texture tool and the ordinary tool were studied through the comparative test of friction and wear, and the wear reduction mechanism of the bionic tool was analyzed. The cutting test of longan branches with different diameters was carried out by the selfmade cutting test platform to verify the wear reduction characteristics of the bionic cutting tools. The results showed that the optimized process parameters of the bionic laser forming tool were as follows: laser power was 75W, laser scanning speed was 4.8mm/s; the actual size of the microtexture of the bionic cutter was 138.3m wide and 33.5m deep. Compared with ordinary cutting tools, the texture bionic cutting tools showed the minimum friction coefficient of 0.2619 and the volume wear amount of 616.70mm3 when the groove spacing width was 1.6mm under the load of 400g, which had obvious wear reduction characteristics. With the increase of load, the wear mechanism was gradually changed from adhesive wear and microcutting wear to the complex wear forms of abrasive wear and oxidation wear. When the wear was stable, the required cutting times of 1.6mm texture bionic tool were 50~55 times higher than that of ordinary tool (45~50) times, and the stable times of 1.6mm texture bionic tool in cutting the wear area of branches with a diameter of 10mm, 15mm and 20mm were 35~40,45~50 and 50~55 respectively. The larger the diameter of the branch was, the more obvious the antiwear effect of the texture tool was.

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孫健峰,霍東飛,李波,邢凱峰,王偉強(qiáng),楊洲.基于仿生微織構(gòu)的電動(dòng)修剪機(jī)刀具磨損性能研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2020,51(s2):593-602. SUN Jianfeng, HUO Dongfei, LI Bo, XING Kaifeng, WANG Weiqiang, YANG Zhou. Wear Performance of Electric Pruning Scissors Based on Bionic Micro-structure[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(s2):593-602.

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  • 收稿日期:2020-08-01
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  • 在線發(fā)布日期: 2020-12-10
  • 出版日期: 2020-12-10
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