ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

Wiebe formula as a semi-empirical formula that calculates heat release in the zero-dimensional combustion model of diesel engine was widely used in the simulation of working process of diesel engine, the accuracy of simulation was mainly dependent on choice of parameters in the formula, but there were some blindness and poor universality in the traditional Wiebe parameters selection method. So in view of shortcoming of the selection method, the D4114B type electricitygenerating diesel engine was taken as an example, a diesel engine Wiebe formula parameters prediction method was proposed based on neural network. By experimental measurement of cylinder pressure curve, the combustion heat release rate was backward deducted, the heat release rate curve was numerically fitted, and the neural network was trained, a neural network which can be used to predict the parameters of Wiebe formula was established. Through the comparison of predicted results and experimental data, and evaluation of prediction accuracy, the accuracy and feasibility of prediction method were verified. On this basis, D4114B diesel engine dynamic simulation model was set up by using Modelica language, and the transient performance of diesel engine was simulated and researched. Finally, the simulation results of neural network input parameters were compared with experimental value, which proved the Wiebe formula parameters prediction method can be applied to the diesel engine dynamic simulation study.