基于多信息融合的双进双出磨煤机料位检测

针对双进双出磨煤机料位检测难题,提出了一种基于多信息数据融合的双进双出磨煤机料位检测方法.该方法将粗糙集（RST）和径向基（RBF）神经网络相结合,利用粗糙集数据简约和规则抽取特性,有效地去除大量冗余数据.利用RBF神经网络函数逼近能力更强和收敛速度更快等优点,引入带遗忘因子的梯度下降算法来整定RBF神经网络参数,简化了神经网络结构,提高了神经网络的学习效率,同时拥有自学习和容错能力,从而有效地保证了数据融合的快速收敛性和稳定性.实验结果表明,在料位检测过程中,将两种智能算法相结合所构成的融合系统,能使双进双出磨煤机准确地完成复杂环境的料位检测任务.     

Optimization of sugar release from banana peel powder waste (BPPW) using box-behnken design (BBD): BPPW to biohydrogen conversion

Optimization of pre-treatment conditions has been achieved for total sugar release from banana peel powder waste (BPPW) feedstock modelled through a three-level Box-Behnken design (BBD) of the response surface methodology (RSM). A series of various runs were executed at varied acid (H₂SO₄) concentrations (0.05%–0.15% v/v), incubation periods (1 h–3 h) in water bath at 95 °C and alkali (NaOH) concentrations (0.05%–0.15% v/v) according to the Box-Behnken design (BBD). From RSM the significant values of incubation period, acid concentration and alkali concentration were obtained as 3 h, 0.095% v/v, and 0.05% v/v respectively. The maximum total sugar release was reported as 5243.62 μg/ml which was highly close to the predicted value (5010.07 μg/ml). The model P- value (0.001), R-sq (98.26%), (adj) R-sq (95.14%) and (pred) R-sq (79.56%) obtained through ANOVA justified the results. The mutual impact of alkali and incubation period had the highest effect on total sugar release from dried banana peel powder, followed by mutual impact of acid and incubation period based on ANOVA (Analysis of Variance) results.Under optimized conditions of pre-treatment six different substrate concentrations (1%, 3%, 5%, 7% and 9% w/v) of BPPW was hydrolyzed and used to obtain volumetric bio-hydrogen evolution. The highest cumulative volumetric bio hydrogen gas 43 ml H₂/30 ml media was achieved at 5% w/v of pretreated BPPW. The substrate concentration above 5% w/v resulted in lowered fermentation process owing to product and substrate inhibition.     

针对表面粗糙度和刀具振幅的切削用量优化研究

对进给量、切削速度和轴向切深这3个切削参数对工件表面粗糙度和刀具振动幅度的影响进行试验研究。采用BBD响应面法对6061铝工件进行端铣加工试验,并通过数学建模对试验结果进行分析。提出一种基于遗传算法的多目标优化方法来同时减小工件表面粗糙度和刀具振动幅度。建立能预报表面粗糙度和刀具振动的径向基神经网络模型,并通过试验验证其准确性。     

基于响应面法的粉煤灰氨含量测定过程浸提条件优化研究

针对粉煤灰氨含量的测定研究大多考虑单一因素,而忽略了在浸提过程中各因素间的交互作用对粉煤灰氨含量浸提的影响。以浸提剂浓度（A）、固液比（B）、振荡时间（C）作为考察因素,在单因素实验的基础上进行响应面实验,建立回归模型。通过响应面优化确定最佳的浸提工艺并与现有浸提方法的测定结果进行对比。结果表明,影响因素主次顺序为B、A、C、AB、BC、AC。最佳浸提工艺条件：浸提剂浓度为0.125 mol/L、固液比（质量体积比,g/mL,以下简称固液比）为1∶12.8、振荡时间为22 s。通过验证,发现实测值与预测值仅存在-2%的相对误差。相较现有浸提方法,优化后的浸提方法不仅使浸提时间大幅缩短,还使浸出率增加了73%~91%,为粉煤灰中氨含量的准确测定提供了新的方法与思路。     

双进双出钢球磨煤机的煤位监测技术

双进双出钢球磨煤机的煤位对磨机的工作性能有非常重要的影响。综述了目前在工业中常用的煤位监测技术，如噪声法、压差法、油压法、应变法及能耗法的基本原理及应用情况，提出通过噪声识别钢球磨煤机煤位及工况是需要进一步发展的技术。     

锰铁高炉脱湿鼓风技术研究及应用

介绍了BBD脱湿鼓风技术在新钢锰铁高炉上的研究应用情况，取得了增产4．96％，节焦5％的良好效果，具有显著的经济效益和社会效益。     

Numerical simulation of effects of operating conditions on the molecular weight of polypropylene using a response surface method

A L4635 Box-Behnken design was used for developing a model to predict and optimize the molecular weight(Mw)of polypropylene(PP);a second-order polynomial regression equation was derived to predict responses.The significance of variables and their interactions were tested by means of the ANOVA with 95% confidence limits;the standardized effects were investigated by Pareto chart,the optimum values of the selected variables were obtained by analyzing the response surface contour plots.The optimized Mwvalue of 1.217×105 g/mol was very close to the industrial value((1.22±0.004)×105 g/mol)at the optimum values.     

cis-1,3,4,6-Tetranitrooctahydroimidazo-[4,5-d]imidazole (BCHMX), its properties and initiation reactivity

Pre-treatment of simulated industrial wastewaters (SIM1, SIM2 and SIM3) containing organic and inorganic compounds (1,2-dichloroethane, sodium formate, sodium hydrogen carbonate, sodium carbonate and sodium chloride) by oxidative degradation using homogeneous Fenton type processes (Fe²⁺/H₂O₂ and Fe³⁺/H₂O₂) has been evaluated. The effects of initial Fe²⁺ and Fe³⁺ concentrations, [Fe^2+/3+], type of iron salt (ferrous sulfate vs. ferric chloride), initial hydrogen peroxide concentration, [H₂O₂], on mineralization extent, i.e., total organic content (TOC) removal, were studied. Response surface methodology (RSM), particularly Box–Behnken design (BBD) was used as modelling tool, and obtained predictive function was used to optimize the overall process by the means of desirability function approach (DFA). Up to 94% of initial TOC was removed after 120 min. Ferrous sulfate was found to be the most appropriate reagent, and the optimal doses of Fe²⁺ and H₂O₂ for reducing the pollutant content, in terms of final TOC and sludge production were assessed.     

不同加载率作用下双材料巴西圆盘动态抗拉强度试验研究

水泥砂浆广泛应用于岩石工程中,如巷道锚喷支护及山体滑坡注浆加固等,由于温度变化,岩石与砂浆之间的过渡区容易形成微裂隙薄弱区,同时地下岩体结构又常常承受着动载荷的作用,如爆破、冲击及地震等,因此研究岩石与水泥砂浆界面过渡区(interface transition zone,ITZ)的强度及其破坏特征具有重要的意义。为此提出了岩石–砂浆双材料巴西圆盘构型,采用分离式霍普金森压杆系统对两种界面粗糙度(光滑和粗糙)的双材料巴西圆盘进行了冲击实验;同时,为了比较单一材料与双材料破坏性能的差异,还制备了单一花岗岩、砂岩和砂浆的巴西圆盘试样。为了克服双材料巴西圆盘的应力分布不均匀的问题,使用实验–数值法确定了其中心抗拉强度。并且,采用Python语言建立了两种试件批量嵌入cohesive单元的数值模型模拟双材料试件ITZ的失效过程。结果表明:(1)当动态加载率相同的条件下,双材料界面粗糙度对试件的应变率影响不大,但对试件抗拉强度影响较大;(2)相比于花岗岩–砂浆试件,界面粗糙度对砂岩–砂浆试件动态初始抗拉强度影响更大;(3)基于数值模型得出圆盘模型中心处存在切应力τ_xy,但拉...     

Solid-state fermentation of red raspberry (Rubus ideaus L.) and arbutus berry (Arbutus unedo, L.) and characterization of their distillates

The aim of the present study was to obtain two distilled alcoholic beverages from red raspberry and arbutus berry by solid-state fermentation and subsequent distillation of the fermented fruits. The mean concentrations of ethanol and volatile substances in the distillates from red raspberry (41.3 and 200.1 g/hL aa) and arbutus berry (44.3 and 267.1 g/hL aa) were higher than the corresponding minimum limits (38.5 and 200 g/hL aa) fixed by the European Council (Regulation 110/2008) for fruit distillates. In addition, the mean concentrations of methanol in the two alcoholic beverages (113.9 g/hL aa in case of red raspberry, and 320.5 g/hL aa in case of arbutus berry) were much lower than the maximum levels of acceptability that the aforementioned regulation fixed for red raspberry (1200 g/hL aa) and arbutus berry (1000 g/hL aa) distillates. These results showed that both fruits can be used as fermentation substrates for producing two alcoholic beverages with high quality, which are safe for the consumers without any repercussion to their health from methanol concentrations.