汽车安全与节能学报
汽車安全與節能學報
기차안전여절능학보
JOURNAL OF AUTOMOTIVE SAFETY AND ENGERGY
2012年
1期
77-83
,共7页
鞠洪玲%成晓北%汪方阳%王志
鞠洪玲%成曉北%汪方暘%王誌
국홍령%성효북%왕방양%왕지
柴油机%碳烟颗粒%尺寸分布%精细碳烟模型%多环芳香烃(PAHs)%低压撞击器(LPI)测量
柴油機%碳煙顆粒%呎吋分佈%精細碳煙模型%多環芳香烴(PAHs)%低壓撞擊器(LPI)測量
시유궤%탄연과립%척촌분포%정세탄연모형%다배방향경(PAHs)%저압당격기(LPI)측량
diesel engine%soot particle%size distribution%soot detail model%low pressure impactor (LPI) measure
用一个改进的碳烟模型,对柴油机的碳烟排放质量和碳烟颗粒的尺寸分布进行模拟计算,并在一台试验单缸机上,低压撞击器(LPI),测量了碳烟排放质量。该模型是在已有的详细碳烟模型基础上,进行了3项改进:以正十四烷代替正庚烷作为模拟燃料;耦合"shell"自点火模型以及KIVA-3V程序中的其他模型;在多步碳烟模型中,考虑了多环芳香烃(PAHs)直接沉积于碳烟颗粒表面。结果表明:PAHs的沉积作用对碳烟质量的增加有明显的贡献作用;碳烟尺寸分布是由PAHs的不同阶段的发展演化决定;模拟与试验测量的碳烟颗粒生成特性的变化趋势一致。因而,该模型可预测碳烟颗粒生成特性。
用一箇改進的碳煙模型,對柴油機的碳煙排放質量和碳煙顆粒的呎吋分佈進行模擬計算,併在一檯試驗單缸機上,低壓撞擊器(LPI),測量瞭碳煙排放質量。該模型是在已有的詳細碳煙模型基礎上,進行瞭3項改進:以正十四烷代替正庚烷作為模擬燃料;耦閤"shell"自點火模型以及KIVA-3V程序中的其他模型;在多步碳煙模型中,攷慮瞭多環芳香烴(PAHs)直接沉積于碳煙顆粒錶麵。結果錶明:PAHs的沉積作用對碳煙質量的增加有明顯的貢獻作用;碳煙呎吋分佈是由PAHs的不同階段的髮展縯化決定;模擬與試驗測量的碳煙顆粒生成特性的變化趨勢一緻。因而,該模型可預測碳煙顆粒生成特性。
용일개개진적탄연모형,대시유궤적탄연배방질량화탄연과립적척촌분포진행모의계산,병재일태시험단항궤상,저압당격기(LPI),측량료탄연배방질량。해모형시재이유적상세탄연모형기출상,진행료3항개진:이정십사완대체정경완작위모의연료;우합"shell"자점화모형이급KIVA-3V정서중적기타모형;재다보탄연모형중,고필료다배방향경(PAHs)직접침적우탄연과립표면。결과표명:PAHs적침적작용대탄연질량적증가유명현적공헌작용;탄연척촌분포시유PAHs적불동계단적발전연화결정;모의여시험측량적탄연과립생성특성적변화추세일치。인이,해모형가예측탄연과립생성특성。
Soot emission mass distributions and particle size distributions in diesel engines were simulated using an improved soot model. The soot emission mass was measured in a single cylinder diesel engine using a low pressure impactor (LPI). The model was developed based on an existing detailed soot model with the following three improvements, using n-tetradecane as fuel instead of n-heptane, coupling "shell" auto-ignition model with other models in KIVA-3V, and in the multi-steps soot model, considering PAHs (polycyclic aromatic hydrocarbons) direct deposition at the soot particle surface. The results show that PAHs deposition makes great contributions to increase soot particle mass with soot particle size determined by the development of PAHs in different stages and that the soot particle formation change trend by simulation is consistent with that by measurement. Therefore, the improved soot model can preferably predict the change trend of soot particles generation characteristics.