Cylinder Pressure Prediction of An HCCI Engine Using Deep Learning

Engine tests are both costly and time consuming in developing a new internal combustion engine.Therefore,it is of great importance to predict engine characteristics with high accuracy using artificial intelligence.Thus,it is pos-sible to reduce engine testing costs and speed up the engine development process.Deep Learning is an effective artificial intelligence method that shows high performance in many research areas through its ability to learn high-level hidden features in data samples.The present paper describes a method to predict the cylinder pressure of a Homogeneous Charge Compression Ignition(HCCI)engine for various excess air coefficients by using Deep Neural Network,which is one of the Deep Learning methods and is based on the Artificial Neural Network(ANN).The Deep Learning results were compared with the ANN and experimental results.The results show that the difference between experimental and the Deep Neural Network(DNN)results were less than 1％.The best results were obtained by Deep Learning method.The cylinder pressure was predicted with a maximum accuracy of 97.83％ of the experimental value by using ANN.On the other hand,the accuracy value was increased up to 99.84％ using DNN.These results show that the DNN method can be used effectively to predict cylinder pressures of internal combustion engines.     

Evaluating China''''s copyright protection situation

After years of intense and often contentious negotiations, China and the United States still have not achieved a mutually satisfactory agreement/settlement on copyright protection.     

Study on Public Service Platform for Castings and Forgings in Tiexi equipment manufacturing industrial cluster area, Shenyang city

Tiexi district of Shenyang city is a big industrial district with equipment manufacture as its core industry.     

外资瞄准我磷复肥行业

有专家预测，随着我国发展磷复肥的有关政策的实施以及政府对化肥投资限制的进一步放开，未来几年内，外资企业可能会更多地涉足我国磷复肥行业。 到目前为止，中外合资且已经投产的磷复肥项目有：中国、阿联酋、突尼斯三方合资的60万t/a NPK项目，芬兰凯米拉公司与广东湛江化工有限公司合资的20万t／a NPK项目等。另外，加拿大Spur公司与湖北宜昌磷肥厂合作的100万t／a二铵项目在2000年也有了新进展；2000年8月，中国、阿联酋、突尼斯合资的二期48万t／a NPK项目开工；2000年9月，美国嘉吉公司与云南磷肥公司签署合资建设60万t／a磷酸二铵项目合同；2000年10月，俄罗斯阿康化肥公司也与湖北洋丰集团签订了技术合作协议。     

China to Step-up Standardization of Resource Savings and Utilization

Sun Xiaokang, Deputy Director of the Standardization Administration of China(SAC), speaking at the recent 10th International Forum on Development of China High-tech Enterprises, said that China will increase its standardization of resource savings and utilization and issue a series of relevant standards.     

硫酸污水治理及水的循环利用

河北省井陉磷肥有限公司始建于1975年,历经技术改造,目前生产能力为:硫酸40kt/a,磷肥50kt/a.其中硫酸生产净化工段一直采用文-泡-电水洗流程,干吸工段用于冷却排管的冷却水直接排入河流.水洗流程排放的含尘酸性废水造成对河流及周边环境的污染,污水中溶解部分二氧化硫随污水排放,既污染环境又降低了硫的利用率,且造成大量水资源的浪费. 按照环保和水资办要求,我公司于1998年11月和2000年11月对硫酸系统进行了两次技术改造.实现了净化工段的稀酸闭路循环和生产用水的封闭循环,达到了含尘酸性污水的零排放和硫酸生产用水的零排放,并通过了市、县环保局的验收. 1 硫酸污水治理和水循环利用方案 1.1 污水来源 我厂硫酸生产的污水来源有三部分:a.重力除尘器和旋风除尘器湿法排灰时产生的大量含尘污水,b.文氏管洗涤器、泡沫塔排出的经脱吸后的污水,c.电除雾器排出的污水. 1.2 硫酸净化污水治理技术方案 a. 将湿法排灰改为干法排灰.重力除尘器除下的矿尘直接进入矿渣增湿器;一旋、二旋底部设置螺旋输送机,除下的矿尘经螺旋输送机后也进入增湿器,然后由排渣皮带机排到矿渣场. b. 炉气经二级旋风除尘后,进入净化系统内喷文氏管,与第一封闭循环系统送入的稀酸在文氏管内充分接触,进行除尘、降温.出文氏管的炉气进入泡沫塔再与由第二封闭循环系统送来的稀酸接触,进一步除尘、降温.出泡沫塔的炉气进入电除雾器除雾后进入下工段,电除雾器排出的少量废水并入第一循环系统. c. 流出文氏管洗涤器的混浊液入斜板沉降器,进行液固分离,上部清液返回循环系统,下部排出的污泥经皮带机排到渣场.为使混浊液的液固两相尽可能分离,在入斜板沉降器前,加入聚丙烯酰胺溶液(絮凝剂). 第一循环系统因炉气增湿造成水的损失,由第二循环系统向其补充,新鲜水补入第二循环系统,以保证整个系统的酸水平衡. 泡沫塔排出的洗涤液入循环槽后用稀酸泵输入板式稀酸冷却器冷却,然后去泡沫塔循环使用.板式冷却器的冷却水经冷却塔后用作冷却排管冷却水.