农业工程学报
農業工程學報
농업공정학보
2014年
11期
10-20
,共11页
粮食%干燥%水分%含水率%干燥工艺%模型解析%解析方法
糧食%榦燥%水分%含水率%榦燥工藝%模型解析%解析方法
양식%간조%수분%함수솔%간조공예%모형해석%해석방법
grain%drying%moisture%moisture content%drying technology%model analytical%analytical method
为了揭示粮食在深床动态干燥过程中的含水率变化规律,指导干燥工艺设计,实现干燥过程实时跟踪与调控,提高干燥品质,降低能耗。基于薄层干燥水分扩散模型、深层干燥质量守恒原理、态函数和不可逆热力学分析方法,建立并求解了粮食深床干燥基础方程,获得了顺流、逆流、横流和静置层干燥方式下粮食含水率和干燥速率分布解析式,解析出了粮食在顺流层内经历持续降速干燥的过程,逆流层内存在干燥速率的极值点,在通风温度、湿度、送风量相同的干燥条件下,逆流干燥速率明显高于顺流,表明了逆流干燥能量利用效果优于顺流;粮食在横流和静置层内的干燥特性相同,进风侧和出风侧的干燥速率相差很大,在层厚度0.5 m、粮食含水率20%以上时,出风侧的干燥速率几乎为0,干燥的均匀性较差。在5HP-3.5型循环式缓苏干燥机上的试验结果显示,深层干燥解析值与实测值间的最大偏差为0.69%,极差范围为-0.27%~0.69%,从粮食干燥的惯性特征推断,产生偏差的原因主要是仪器检测误差。解析方法对实现粮食深床干燥过程动态跟踪和调控,指导干燥设计,降低干燥能耗、提高干燥效率和干燥机产能等具有重要意义。
為瞭揭示糧食在深床動態榦燥過程中的含水率變化規律,指導榦燥工藝設計,實現榦燥過程實時跟蹤與調控,提高榦燥品質,降低能耗。基于薄層榦燥水分擴散模型、深層榦燥質量守恆原理、態函數和不可逆熱力學分析方法,建立併求解瞭糧食深床榦燥基礎方程,穫得瞭順流、逆流、橫流和靜置層榦燥方式下糧食含水率和榦燥速率分佈解析式,解析齣瞭糧食在順流層內經歷持續降速榦燥的過程,逆流層內存在榦燥速率的極值點,在通風溫度、濕度、送風量相同的榦燥條件下,逆流榦燥速率明顯高于順流,錶明瞭逆流榦燥能量利用效果優于順流;糧食在橫流和靜置層內的榦燥特性相同,進風側和齣風側的榦燥速率相差很大,在層厚度0.5 m、糧食含水率20%以上時,齣風側的榦燥速率幾乎為0,榦燥的均勻性較差。在5HP-3.5型循環式緩囌榦燥機上的試驗結果顯示,深層榦燥解析值與實測值間的最大偏差為0.69%,極差範圍為-0.27%~0.69%,從糧食榦燥的慣性特徵推斷,產生偏差的原因主要是儀器檢測誤差。解析方法對實現糧食深床榦燥過程動態跟蹤和調控,指導榦燥設計,降低榦燥能耗、提高榦燥效率和榦燥機產能等具有重要意義。
위료게시양식재심상동태간조과정중적함수솔변화규률,지도간조공예설계,실현간조과정실시근종여조공,제고간조품질,강저능모。기우박층간조수분확산모형、심층간조질량수항원리、태함수화불가역열역학분석방법,건립병구해료양식심상간조기출방정,획득료순류、역류、횡류화정치층간조방식하양식함수솔화간조속솔분포해석식,해석출료양식재순류층내경력지속강속간조적과정,역류층내존재간조속솔적겁치점,재통풍온도、습도、송풍량상동적간조조건하,역류간조속솔명현고우순류,표명료역류간조능량이용효과우우순류;양식재횡류화정치층내적간조특성상동,진풍측화출풍측적간조속솔상차흔대,재층후도0.5 m、양식함수솔20%이상시,출풍측적간조속솔궤호위0,간조적균균성교차。재5HP-3.5형순배식완소간조궤상적시험결과현시,심층간조해석치여실측치간적최대편차위0.69%,겁차범위위-0.27%~0.69%,종양식간조적관성특정추단,산생편차적원인주요시의기검측오차。해석방법대실현양식심상간조과정동태근종화조공,지도간조설계,강저간조능모、제고간조효솔화간조궤산능등구유중요의의。
In order to reveal the change rule of grain moisture content in deep bed drying, guide the design of drying technology, and realize real-time tracking and regulating the drying process, as well as improve the drying quality and reduce the energy consumption. Based on the moisture diffusion model of thin bed drying process and the mass conservation equation of deep bed drying process, as well as the state function and irreversible thermodynamics analysis method, the basic function of deep bed grain drying was set up and solved, and the analytical formula of the distribution of grain moisture content and drying rate in the drying methods of concurrent flow and counter flow, cross flow and standing drying were obtained. The result showed that the drying rate experienced the continuously decreasing process inside the concurrent flow deep bed drying, and the maximum point occurred at the beginning of the drying, that said the moisture content decreased quickly, and the late changed extremely smooth in the hot air inlet position. In counter flow deep bed drying, the drying rate had an extreme value point, and the maximum drying rate did not necessarily in the position of hot air inlet and outlet of drying layer. Indeed, the drying rate of counter flow was significantly higher than concurrent flow drying under the same drying conditions of ventilating temperature, humidity and air volume. And in cross flow and standing drying, the drying rate in the position of hot air inlet and outlet had a big difference. When the layer thickness was 0.5 m, and the grain moisture content was more than 20%, the drying rate was nearly zero in the air outlet. This paper pointed out that the change process of grain drying was from initial state point(wet grain)to the final state point (dry grain), the uniformity of cross flow and standing drying was poor, and the counter flow drying technology was more energy-saving than concurrent flow. The experiment was studied in 5HP-3.5 type circulating and tempering dryer, and the results showed that the analytical values and measured values of paddy moisture content in dryer export presented high fitting degree after experiencing the drying and tempering every time. And the maximum deviation between analytical values and measured values was 0.69%, the range of drying process was 0.27%-0.69%. Grain drying was a typical larger inertia and nonlinear process, which pointed out the reason for deviation should be detection error caused by instrument, and confirmed the reliability of the analytical results. The given analytical method avoided the problem of the poor reliability of grain moisture on-line detection instrument and the thin bed superposition simulation error accumulation under the grain drying conditions of high temperature, high humidity and high dust. The analytical methods were of great significance for achieving dynamic tracking and regulating of the grain drying process, guiding drying design, as well as achieving high efficiency and energy saving, improving the drying efficiency and capacity of the dryer.