共查询到19条相似文献,搜索用时 187 毫秒
1.
2.
基于进气道三维流场测试装置、定容弹喷雾试验台和光学单缸机测试系统组成的缸内直喷汽油机燃烧系统可视化开发平台,开发设计了满足设计要求的高性能进气道,并匹配了缸盖燃烧室和活塞,有助于缸内混合气的形成,提高燃烧速率;综合考虑排放与机油稀释量的基础上,优化设计了喷雾靶点。对所设计的燃烧系统进行了光学单缸机试验和热力学多缸机试验验证。结果表明,进气道和燃烧室组织引导的气流在缸内形成高滚流,对喷雾油束有强烈的弯卷作用,极大促进了均质混合气的形成,并减小喷雾碰壁的风险;喷雾靶点的合理设计有效避免喷雾油束与壁面的碰撞,减少了机油稀释率和起燃工况HC排放;所设计的燃烧系统搭载1.5TGDI发动机实现了80kW/L、最大扭矩250N·m、排放较低的性能指标。 相似文献
3.
为解决多缸机球铁曲轴在热处理方面存在的问题,采用了等温淬火热处理工艺,结果表明,对传统的单缸机曲轴等温淬火工艺进行改进,可在多缸油曲轴上获得应用,效果良好。 相似文献
4.
日本生产的250mL级的摩托车品种数已经超过70种,高居该国生产的30多个排量级各自品种数之首,其配备的汽油机的结构特点为:四冲程居多,水冷却为主,单缸机及多缸机并存,风冷型二冲程机已很少出现。性能特点为:水冷二冲程双缸机动力性指标最高,不过目前仅出现在赛车上;水冷四冲程四缸机性能较高且被较广泛地使用;在其它条件相同时,双缸机性能低于单缸机。 相似文献
5.
正发动机失火(Misfire)俗称缺缸,是指因为某种原因造成发动机的某一个气缸或某几个气缸断续或连续的混合气燃烧不良或不能燃烧的现象。发动机失火会使发动机运转不平稳,其典型故障现象为发动机怠速抖动,同时还会使发动机动力性能、经济性能及排放性能变差。发动机失火类型主要分为单缸失火和多缸失火。发动 相似文献
6.
电控PPVI燃油喷射系统柴油机的单缸性能初步试验 总被引:4,自引:1,他引:4
简述了电控泵—管—阀—嘴(PPVI)燃油喷射系统柴油机单缸性能试验的方法。进行了单缸性能试验和燃烧过程的分析。结果表明,喷油器端的油管压力波形理想,下降迅速。缸内燃烧前期比较柔和而中后期十分迅速,最大压力升高率较低,燃烧持续期较短。 相似文献
7.
8.
AVL657内燃机数据采集分析系统功能开发 总被引:1,自引:0,他引:1
奥地利AVL公司生产的AVL657数据采集分析系统,是一套对内燃机瞬变过程进行高速数据采集,处理和存储的测试设备。阐述了该系统的数据文件存储格式的转换原理和方法,以及在柴油机运转条件下喷油过程测量,多缸机单缸进气充量测量的计算原理和程序编制。 相似文献
9.
《汽车情报》2008,(14):42
“单缸求变塑精品、多缸求高上台阶”的经营思路使常柴股份有限公司收获新希望。2008年前三个月,常柴多缸机销售达25000余台,同比增长17.25%,尤其是3月份,多缸机单月销售达11000多台,较2007年同期增长30.88%,创历史新高。近年来,常柴针对原材料价格上涨等牛产要素制约,紧紧抓住“成本、质量、效率、效益”四大主线,通过推广方案计划、质量服务跟踪改进、销售渠道优化等营销活动,使多缸机在产品销售总量中所占份额稳步上升,常柴动力在轻卡、皮卡、轮拖、小型工程机械等多领域树立起品牌形象。目前,多缸机产品在与常拖、长城汽车、沈阳金杯、东风汽车等的配套方面合作良好,销量节节攀升。 相似文献
10.
本文介绍了近年来在模拟增压单缸机上将平均有效压力(pme)从1.35MPa提高到1.63Mpa的燃烧系统的研制过程。 相似文献
11.
12.
高强化柴油机双卷流燃烧系统喷油参数匹配试验研究 总被引:1,自引:0,他引:1
针对采用双卷流燃烧系统的单缸柴油机进行了强化燃烧试验研究,研究内容包括不同喷雾锥角燃烧特性试验和相同负荷下不同转速的燃烧特性试验。研究发现,柴油机喷雾锥角的合理设计对燃烧特性具有重要影响,提高转速是提高柴油机强化程度的有效途径,但是转速提高会带来排温升高及燃油经济性恶化等问题。通过调节喷油定时可以在提高发动机转速时使排温及燃油经济性的问题在一定程度上得以改善。采用双卷流燃烧系统并配以合适的喷油参数(喷雾锥角、喷油定时)可以达到提高柴油机强化程度的目的。 相似文献
13.
J. W. Chung J. H. Kang N. H. Kim W. Kang B. S. Kim 《International Journal of Automotive Technology》2008,9(1):1-8
Currently, due to the severity of world-wide air pollution by substances emitted from vehicles, emission control is being
enforced more strictly, and it is expected that the regulation requirements for emission will become even more severe. A new
concept combustion technology that can reduce the Nitrogen oxides (NOx) and PM in relation to combustion is urgently required.
As a core combustion technology among new combustion technologies for the next generation engine, the homogenous charge compression
ignition (HCCI) is expanding its application range by adopting a multiple combustion mode, a catalyst, direct fuel injection
and partially premixed charge compression ignition combustion using the split injection method. This paper used a split injection
method in order to apply the partially premixed charge compression ignition combustion method without significantly altering
engine specifications of the multiple combustion mode and practicality by referring to the results of studies on the HCCI
engine. Furthermore, the effects of the ratio of the fuel injection amount on split injection are investigated. From the test
results, the adequate combination of the ratio of the fuel injection amount for the split injection method has some benefit
on exhaust and fuel economy performance in a naturally aspirated single cylinder diesel engine. 相似文献
14.
15.
16.
17.
18.
19.
G. R. Kannan K. R. Balasubramanian R. Anand 《International Journal of Automotive Technology》2013,14(4):507-519
This study intends to predict the influence of injection pressure and injection timing on performance, emission and combustion characteristics of a diesel engine fuelled with waste cooking palm oil based biodiesel using the artificial neural network (ANN) model. To acquire data for training and testing in the proposed ANN, experiments were carried out in a single cylinder, four stroke direct injection diesel engine at a constant speed of 1500 rpm and at full load (100%) condition. From the experimental results, it was observed that waste cooking palm oil methyl ester provided better engine performance and improved emission and combustion characteristics at injection pressure of 280 bar and timing of 25.5° bTDC. An ANN model was developed using the data acquired from the experiments. Training of ANN was performed based on back propagation learning algorithm. Multilayer perceptron (MLP) network was used for non-linear mapping of the input and output parameters. Among the various networks tested the network with two hidden layers and 11 neurons gave better correlation coefficient for the prediction of engine performance, emission and combustion characteristics. The ANN model was validated with the test data which was not used for training and was found to be very well correlated. 相似文献