基于EDEM的上加热连续杀青理条机优化设计与试验

    Optimization Design and Experiment of Continuous Drying and Stripping Machine with Upper Heating for Tea Leaves Based on EDEM

    • 摘要: 针对目前杀青理条机U型锅槽上部存在杀青不足,温度均匀性差,理条过程成条率低,成条质量不佳等问题,设计了一种上加热连续杀青理条机,在U型锅槽杀青段增加上加热单元,以改善杀青效果,通过对锅槽杀青段进行温度场仿真分析,并结合试验验证,以提高加热单元对锅槽温度均匀性;并对茶叶在锅槽内的理条运动进行了动力学分析,建立了茶叶-锅槽动力学模型,分为5个阶段对茶叶运动与受力特点以及对茶叶做形效果的影响进行分析,得到影响理条质量的主要因素有锅槽宽度、锅槽深度、投叶量、曲柄转速等;在EDEM软件中建立理条仿真模型,对理条过程进行数值仿真计算模拟,并进行单因素仿真试验,根据茶叶颗粒在理条过程中平均速度与平均受力随时间的变化曲线,最终确定影响因素为锅槽宽度、投叶量、曲柄转速等;为了对上述关键参数进行优化,采用制作六安瓜片茶的独山小叶种茶树鲜叶为试验原料,以关键因素为试验因素,成条率与感官评分为评价指标,进行3因素3水平二次旋转正交试验,运用Design Expert 13.0对试验数据进行回归分析,由未采用上加热时的参数组合曲柄转速 195 r/min、锅槽宽度 92 mm、投叶量75 kg/h~85 kg/h作为实验区间,采用上加热试验后得到优化参数组合为曲柄转速198 r/min、锅槽宽度90 mm、投叶量80 kg/h,此时杀青理条效果较佳,将试验样机调整至优化参数,结果表明成条率为89.62%,感官评分为90.67分,与优化结果预测值相对误差在5%以内,证明优化结果准确可靠,研究结果可为杀青理条机的设计与优化提供理论借鉴与参考。

       

      Abstract: Aiming at the technical bottlenecks of insufficient fixation at the upper part of the U-shaped trough, poor temperature uniformity, low strip-forming rate and unsatisfactory strip quality during the fixation and strip-shaping process of current fixation and strip-shaping machines, this study designed an upper-heating continuous fixation and strip-shaping machine. To improve the effect of the fixation process, an upper heating unit was added to the fixation section of the U-shaped trough; through temperature field simulation analysis of the fixation section of the trough combined with physical test verification, the regulation effect of the heating unit on the temperature uniformity of the trough was significantly enhanced. Meanwhile, to reveal the movement mechanism and forming law of tea leaves during the strip-shaping process, a systematic dynamic analysis was carried out on the strip-shaping movement of tea leaves in the trough, and a tea-leaf-trough coupled dynamic model was established. The movement process of tea leaves in the trough was divided into 5 characteristic stages, and the movement characteristics, force distribution law of tea leaves and their influence mechanism on tea forming effect in different stages were systematically explored. It was initially determined that trough width, trough depth, feed quantity and crank rotation speed were the core factors affecting the strip-shaping quality. To further screen the key influencing factors, a strip-shaping process simulation model was established in the EDEM discrete element simulation software to conduct numerical simulation calculation and simulation of the entire strip-shaping process of tea leaves, and single-factor simulation tests were carried out; based on the dynamic curves of average velocity and average force of tea particles changing with time during the strip-shaping process obtained from the simulation, it was finally determined that trough width, feed quantity and crank rotation speed were the key influencing factors regulating the strip-shaping quality. To realize the optimal matching of key process parameters, this study selected fresh leaves of Dushan small-leaf tea tree, a special raw material for making Lu'an Guapian tea, as the test material, took the screened key factors as test variables, and took strip-forming rate and sensory score as core evaluation indicators, and adopted a three-factor three-level quadratic rotational orthogonal test design scheme to carry out the test research. The Design Expert 13.0 statistical analysis software was used to conduct regression analysis and significance test on the test data. Taking the process parameter combination without upper heating structure crank rotation speed 195 r/min, trough width 92 mm, feed quantity 75kg/h~85kg/h as the test parameter range, through the iterative optimization of the upper heating test group, the optimal process parameter combination was finally obtained: crank rotation speed 198 r/min, trough width 90 mm, feed quantity 80 kg/h. Under the condition of these optimal parameters, the comprehensive effect of fixation and strip-shaping was the best. A verification test was carried out after adjusting the process parameters of the test prototype to the optimized values. The results showed that the strip-forming rate reached 89.62%, the sensory score reached 90.67 points, and the relative error between the actual measured values of the test and the predicted values of the optimization model was controlled within 5%, which confirmed the accuracy and reliability of the parameter optimization results. Through structural improvement and parameter optimization, this study effectively solved the technical defects of the existing fixation and strip-shaping machines. The research results can provide important theoretical reference and practical guidance for the structural innovation design and process parameter optimization of fixation and strip-shaping machines.

       

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