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C4-C10 烷烃自燃统一详细动力学模型研究(MTBE_ETBE_nHeptane)

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摘要:

本文提出一套适用于 C₄–C₁₀烷烃在 600–1200 K 范围内自燃的统一详细动力学模型,由 EXGAS 软件自动生成机理并采用单一动力学参数集。研究对象包括正丁烷、正戊烷、异戊烷、新戊烷、正庚烷、异辛烷、正癸烷及其混合物,验证数据来自激波管与快速压缩机,压力 1–50 bar,当量比 0.5–2。模型优化了热化学数据、自由基加成、异构化、环醚生成与氢过氧化物分解速率,能较好复现着火延迟与负温度系数区行为。灵敏度分析表明烷基与过氧自由基加氧是关键步骤,模拟结果与辛烷值趋势一致,为 HCCI 发动机与安全氧化过程提供可靠机理。


Progress toward a unified detailed kinetic model for the autoignition of alkanes from C4 to C10 between

600 and 1200 K

F. Buda, R. Bounaceur, V. Warth, P.A. Glaude, R. Fournet, F. Battin-Leclerc*

Département de Chimie Physique des Réactions, UMR 7630 CNRS-INPL, ENSIC, 1, rue Grandville, BP 451,

54001 Nancy Cedex, France

Received 22 July 2004; received in revised form 21 January 2005; accepted 6 March 2005

Available online 15 April 2005

Abstract

A unified model with a single set of kinetic parameters has been proposed for modeling the autoignition delay times of a wide range of alkanes using detailed kinetic mechanis ms automatically generated by software EXGAS. The validations were based on recent data of the literature obtained in shock tubes and in rapid compression ma- chines. The compounds studied were n-butane, n-pentane, iso-pentane, neo-pentane, 2-methylpentane, n-heptane, iso-octane, n-decane, and mixtures of n-heptane and iso-octane. Investigated conditions are the following: tem- peratures range from 600 to 1200 K, including the negative temperature coefficient (NTC) region, pressures range from 1 to 50 bar, and equivalence ratios range from 0.5 to 2. Tests were also performed for results obtained in a jet-stirred reactor and a sensitivity an alysis was performed in the case of n-heptane. Simulations using generated mechanis ms for the nine isomers of heptane were performed and showed that the variations of autoignition delay times follows globally well that of octane numbers at 650 K in a rapid compression machine at 4 bar. The influence of pressure (from 3 to 200 bar) was theoretically investigated.

◎ 2005 The Combustion Institute. Published by Elsevier Inc. All rights reserved.

Keywords: Alkanes; Autoignition; Oxidation; Detailed kinetic model


1.  Introduction

A better understanding of autoignition phenom- ena and of the fundamentals of hydrocarbon oxidation is a very important challenge both to develop new types of engines and to improve the safety in oxida- tion processes.

*Corresponding author. Fax: +33 3 83 37 81 20. E-mail address:frederique.battin-leclerc@ensic.inpl-nancy.fr  (F. Battin-Leclerc).

An engine based on a homogeneous charge and compression ignition (HCCI) has the potential to pro- vide both diesel-like efficiencies and extremely low emissions. This new type of engine relies on a lean combustion process (in excess of air), which results in a large decrease of particulate matter emission and of the amount of nitric oxide (NOx) produced, which favors the creation of tropospheric ozone in urban ar- eas. Fundamentally, the reason is the avoidance of regions within the engine, with either fuel-rich condi- tions that generate particulate matter or stoichiometric conditions that generate high temperature and NOx emissions. In order to further develop HCCI engines, it is important to predict the time when the autoigni- tion of the homogeneous mixture occurs during the compression cycle and to model the formation of pol- lutants according to the fuel composition [1].

Large-scale hydrocarbon (partial) oxidation proc- esses form the basis of much of the (petro-) chemical process industry and in particular of the production of feedstock for polymer production (such as ethyl- ene and propylene oxide, and maleic and terephthalic acid). To prevent explosions, the industry worldwide is in need of basic safety information, safety tools, and predictive safety software for design of equipment un- der all anticipated operating conditions. It is common knowledge that gas and vapor explosions are one of the specific risks ofthe chemical industry. Much time and money are therefore spent in preventing such ex- plosions, for example, by eliminating all potential ig- nition sources. Often one considers the usual ignition sources such as flames, hot surfaces, and sparks, but forgets that sufficiently high temperatures can lead to autoignition of the fuel–air mixture [2].

The chemistry of hydrocarbon oxidation is very complex: a mixture of hydrocarbons and air can re- act either in a slow combustion process or through an uncontrolled exponential increase at a rate which leads to ignition. Detailed kinetic mechanis ms, which are based on elementary steps, are a useful way to describe this complex chemistry over a wide range of temperatures,  pressures,  and  equivalence  ratios. Since these models include mainly elementary steps, the rate constants of which depend only on temper- ature and pressure, they can be used in a predictive way. Detailed reaction mechanis ms of the oxidation of hydrocarbons in the gas phase have been developed worldwide over several decades. Most studies have been confined to oxidation chemistry at temperatures above about 1000 K with only a limited attention paid to detailed kinetic models in important lower temper- ature regime [3].

A major problem in constructing a detailed chem- ical kinetic model, especially at low temperatures, is the very large number of possible reactions, products, and reaction  intermediates  involved. Because man- ual  assembly  of a  comprehensive kinetic model  is extremely difficult and prone to error, the only prac- tical way to construct and use large models lies in the use of formal computer-based methods. Papers on the automatic generation of mechanis ms for py- rolysis, combustion, and oxidation were published by different authors worldwide (e.g., in the last decade, by Ranzi et al. [4], Blurock [5], or Susnow et al. [6]). Our laboratory has been developing for several years a computer package (EXGAS) to automatically gen- erate detailed kinetic models for the gas-phase oxida- tion and combustion of normal and branched alkanes, which are important components of classical gaso-line  and  diesel  fuels,  and  which  could be  used  in new fuels for HCCI engines. This software was al- ready validated by modeling the  slow oxidation of several alkanes (e.g., n-butane [7], n-heptane [8,9], iso-octane [8,9], n-octane[10], n-decane[10,11], and mixtures of n-heptane and iso-octane [12]) and the autoignition of iso-butane and iso-pentane in a shock tube from  1100 to 2000 K [13]. Nevertheless, apart from the case of n-butane [7], the models generated by EXGAS have not been previously tested to repro- duce autoignition delay times at low temperatures in the zone of the negative temperature coefficient.

The  purpose  of  this  paper  is  to  describe  and an alyse a single set of kinetic parameters which al- lowsthe  generation  of the  detailed kinetic models using  EXGAS to reproduce most  of the published experimental results concerning the autoignition  of linear and branched alkanes (from C4) below 1200 K.


2.  Summary of recently published experimental results concerning the autoignition of alkanes

The experimental results concerning the autoigni- tion below 1200 K of alkanes from C4, which have been published in the last decade, are shown in Ta- ble 1. Two types of experimental facilities have been used: shock tubes and rapid compression machines.

In a shock tube, ignition delay time is usually mea- sured behind reflected shock waves, while the cor- responding temperature is calculated from the inci- dent shock wave velocity with an error estimated at 20 K [21]. The apparatus used by Adomeit and co- workers [21,23,24] allowed them to work with air– hydrocarbon mixtures for pressures behind reflected shock waves up to 50 bar and then to observe au- toignition at temperatures from 660 K.

Three rapid compression machine facilities have been used to measure autoignition delay times. One is at Leeds University with a compression time of 22 ms [16–18], a second one is used by the Univer- sity of Lille with a compression time of 60 ms [14,15, 20,22,25], and a third one is located at the University of Galway and has a compression time of 17 ms [19]. In these rapid compression machines, ignition delay time is measured from the end of the compression. The temperature, Tc , of the compressed gas is calcu- lated for an adiabatic core gas from the initial pres- sure, P0, and temperature, T0, the compressed pres- sure, Pc , and the ratio of specific heats (γ = Cp/Cv) by the equation [20]:

image.png

Table 1

Summary of the experimental results published since 1993 concerning the autoignition of alkanes from C4 below 1200 K

image.png

Note. ST, shock tube; RCM, rapid compression machine. The results given in bold have been used in the validations presented in this paper.

Several  experimental  studies have  demonstrated that the details of the heat transfer in a rapid com- pression machine are quite complex, both with re- spect to the geometry and over the time history of the  experiments [18,26].  This  is  of particular  im- portance  for  compounds  with  the  longest  ignition delay  times  and  it  has  been   shown  that   simula- tions with a simple physical model encounter prob- lems  in  reproducing  the  experimental  results  ob- tained in Leeds for very branched alkanes (i.e., iso- octane,   2,2-dimethylpentane,   2,4-dimethylpentane, 3,3-dimethylpentane), for which a region of temper- ature, in which no autoignition was experimentally observed, was found for temperatures around 750 K [18]. The results obtained in Galway showed also a region of temperature in which no autoignition was experimentally  observed  for  2,2,3-trimethylbutane, and a strongly pronounced negative temperature co- efficient was observed for dimethylpentanes [19]. In addition, temperature gradients have been observed in the combustion chamber of such an apparatus [27], which can greatly influence the measurement of the observed products.

We have mainly used for the validations presented thereafter the results obtained in the rapid compres- sion  machine  of Lille,  which  has  a  slower  stroke and  a  specific  geometry [18]  and  allows  autoigni- tion to be experimentally recorded for iso-octane in all  the  temperature  ranges  studied.  In  the  case  of 2-methylpentane, which was not tested at Lille and has rather short ignition delay times, we have used data from Leeds. Some tests involving the results of Galway have also been made and will be pointed out further in the text.


3.  Description of the unified detailed kinetic mechanis ms

The detailed kinetic mechanis ms used in this study have been automatically generated by the computer package  EXGAS [7–12].  We will recall here very briefly the main features of this software, which has already been much described, and we will present the improvements of the thermochemical data and of the generic rate constants needed to obtain correct simu- lations of autoignition delay times.

3.1.  General features of EXGAS

The system provides reaction mechanis ms made of three parts.

(1) A comprehensive primary mechanis m, where the only molecular reactants considered are the ini- tial organic compounds and oxygen. According to the choices of the user, the reactant and the primary rad- icals can be systematically submitted to the different types of following elementary steps:

    • unimolecular initiations involving the breaking of a C–C bond;

    • bimolecular initiations with oxygen to produce alkyl and ·HO2 radicals;

    •  oxidations  of  alkyl  radicals  with  O2   to  form alkenes and HO2 · radicals;

    •  additions  of  alkyl  (R·)  and  hydroperoxyalkyl ( QOOH) radicals to an oxygen molecule;

    •  isomerizations   of  alkyl   and  peroxy  radicals (ROO · and ·OOQOOH) involving a cyclic tran- sition state; for ·OOQOOH radicals, we consider a direct isomerization-decomposition to give ke- tohydroperoxides and hydroxyl radicals [28];

    •  decompositions of radicals by β-scission involv- ing the breaking of C–C or C–O bonds for all types of radicals (for low-temperature modeling, the breaking ofC–H bonds is neglected);

    •  decompositions of hydroperoxyalkyl radicals to form cyclic ethers and ·OH radicals;

    • metatheses involving H abstractions by radicals from the initial reactants;

    • recombinations of radicals;

    •  disproportionations of peroxyalkyl radicals with HO2· to produce hydroperoxides and O2(dispro- portionations between two peroxyalkyl radicals or between peroxyalkyl and alkyl radicals are not taken into account).

(2) A C0–C2 reaction base, including all the reac- tions involving radicals or molecules containing fewer than three carbon atoms [29]. The fact that no generic rule can be derived for the generation of the reactions involving very s mall compounds makes the use of this reaction base necessary.

(3) A lumped secondary mechanis m, containing the reactions  consuming the molecular products of the primary mechanis m, which do not react in the reaction base. To reduce the number of reactants in the secondary mechanis m, the molecules formed in the primary mechanis m, with the same molecular for- mula and the same functional groups, are lumped into one unique species, without distinguishing between the different isomers. The reactions of these lumped molecules are not elementary steps, but global reac- tions, which produce, in the s mallest number of steps, molecules or radicals whose reactions are included in the reaction bases [7].

3.2.  Thermochemical data

Thermochemical properties play an important role in the overall reactivity of the system, as the rate of the reverse reactions is computed through those val- ues. That is of particular importance in the case of the additions of a radical to an oxygen molecule, which the influence of the reverse reaction increases with temperature and has a strong effect on reactivity.

Thermochemical  data  for  molecules  or  radicals were automatically calculated and stored as 14 poly- nomial coefficients, according to the CHEMKIN II formalis m [30]. These data were automatically cal- culated using software THERGAS [31], based on the group and bond additivity methods proposed by Ben- son [32].

The  method  for  evaluating  the  thermochemi- cal properties  of branched  compounds  in  software THERGAS has been slightly modified. In previous versions of THERGAS [31], thermochemical prop- erties of branched compounds were calculated using gauche corrections suggested by Benson [32]. These corrections are necessary for describing steric effects. Group values have been updated based on the data of Domalski and Hearing [33], which use the method of methyl-group corrections. These authors have up- dated  Benson  databases  with  new  molecules,  and replaced the gauche corrections used by Benson by a  methyl-group  correction  that  systematically  adds a  correction  for  each methyl  groups  depending  on whether they are linked to a tertiary or a quaternary atom of carbon. For instance, the estimation of ther- modynamic properties  of 2-methylpentane requires that a correction for two methyl groups linked to a tertiary atom of carbon be taken into account.

The enthalpies of formation of alkyl radicals and peroxy radicals have been updated according to the values  of bond  dissociation  energies  recently pub- lished by Tsang [34] and by Luo [35] and following the recommendations of Benson and Cohen [36], re- spectively.

3.3.  Description of the generic rate constants

Table 2 presents the set of generic rate constants, which are used by EXGAS for the primary mecha- nis m of the oxidation of alkanes, apart from the ki- netic data of isomerizations, recombinations and the unimolecular  decompositions, which  are  calculated using the software KINGAS [37], based on thermo- chemical kinetics methods [32]. The main features of these calculations have been summarized in previ- ous descriptions of EXGAS [7–12]. The kinetic data which cannot be calculated by KINGAS are estimated from  correlations,  which  are based  on  quantitative structure–reactivity relationships and obtained from a literature review. The estimation of the rate constants used in the secondary mechanis m is based on cor- relations derived from that proposed for the primary mechanis m and has been previously described [7].

Simulations  using  the  previously  presented  set of kinetic  parameters [7–12]  were  performed  and showed an overprediction of autoignition delay times.

Table 2

Kinetic parameters for the primary mechanis m of the oxidation of alkanes not calculated using KINGAS [37]

image.png

Note. Rate constants are expressed in the form k = ATb exp(-E/RT ), with the units cm3 , mol, s, kcal, by H atoms which can be abstracted. ·Rp , ·Rs , ·Rt are primary, secondary, and tertiary alkyl free radicals. n is the number of atoms of carbon in an alkyl radical.

in a shock tube and in a rapid compression machine for the alkanes studied. Sensitivity an alyses, flow rate an alyses, and different tests have led us to propose improvements of the estimation of kinetic parameters for five types of reactions of the primary mechanis m and one type of the secondary mechanis m. The skele- ton of the model and the a priori simplifications based on the reactivity of free radicals remain the same [28].

3.4.  Bimolecular initiations

The rate constants of the bimolecular initiations with oxygen molecules, for which we previously used values proposed by Chevalier et al. [38], are not very sensitive parameters for the calculation of the igni- tion delay times as it will be shown further in the text.

Nevertheless, to be consistent with the values that we consider in the case of alkenes [39] and which are those experimentally measured by Ingham et al. [40], the rate parameters for this type of reaction have been taken equal to the estimation proposed by these au- thors for alkanes: A = 7.0 ×1012 mol-1 cm3 s-1 (per abstractable H atom) with the activation energy taken equal to the enthalpy of reaction and being automati- cally calculated using the software THERGAS [31].

3.5.  Oxidations of alkyl radicals with O2 to form alkenes and HO2 · radicals

The rate constants of oxidation are sensitive para- meters as this reaction leads to alkenes and the very unreactive ·HO2 radicals and acts then almost like a termination step. As discussed by Walker and Mor- ley [41], the mechanis m of this reaction has been the subject of considerable controversy and the values of these rate parameters are not well known for alkyl rad- icals heavier than ethyl radicals. Our previous values [7] were based on a structure–reactivity relationship proposed by Stocker and Pilling [42]. In the present work, A factors have been 20% increased for alkyl radicals containing more than four atoms of carbon and 70% increased for s maller alkyl radicals, but the activation energy has been kept equal to 5 kcal/mol as proposed by Walker [43].  The fact that the rate constants is higher for s maller radicals traduces the fact that adduct yield by the addition of an alkyl rad- ical to oxygen can be less easily stabilized in species containing less bonds for the excess energy to be dis- tributed and then can more easily break down to give the conjugated alkene and a ·HO2 radical.

3.6.  Addition of branched alkyl radicals to an oxygen molecule

The rate constant of the addition of alkyl radical to an oxygen molecule has also an important influ- ence because it directly competes with the oxidation. In previous work, we used the same value (k add = 2.2 × 1019 T__2.5 mol_1 cm3 s_1 ) for the addition of every alkyl radical to an oxygen molecule. This value leads to good results in the cases of every linear alkyl radical, but not in the case of branched alkyl radicals. For linear and branched alkyl radicals, we now use an additivity method to take more closely into account the structure of each considered radical,

k add= npkp + nsks + ntkt + nqkq ,

where  np  is  the  number  of primary  groups  (CH3)  linked  to  the  radicalar  atom  of  carbon,  ns   is  the number  of  secondary  groups  (CH2)  linked  to  the  radicalar  atom  of carbon, nt  is  the  number  of ter-  tiary  groups  (CH)  linked  to  the  radicalar  atom  of carbon, n q  is the number of quaternary groups  (C)  linked to the radicalar atom of carbon, kp = 8.0 × 1018 T__2.5  cm3 mol_1 s_1 ,  ks  = 9.0  × 1018 T__2.5  cm3 mol_1 s_1 , kt = 1.5×1018 T__2.5 cm3 mol_1 s_1 , kq = 1.0 × 1018 T__2.5 cm3 mol_1 s_1 .

The principle of this additivity method was pro- posed by Stocker and Pilling [42].

For a tertiary radical, k add = kt if the atom of car- bon carrying the radical center is linked to at least one tertiary group and k add = kq if it is linked to at least one quaternary group.

It is worth noting that the obtained values for lin- ear alkyl radicals are close to the previously used one, while most of them are much lower for branched rad- icals, such as iso-octyl radicals, as shown in Table 3,

Table 3

Kinetic parameters for the additions of iso-octyl radicals to an oxygen molecule

image.png

which presents an example of use of the proposed ad- ditivity method.

3.7.  Isomerization of alkylperoxy radicals to hydroperoxy alkyl radicals

As described in a previous paper [7], preexponen- tial factor (A) is mainly based on the changes in the number of internal rotations as the reactant moves to the cyclic transition state and activation energies have been set equal to the sum of the activation energy for H abstraction from the substrate by an alogous radi- cals (EH-abstr, see Table 4a) and the strain energy of the cyclic transition state (Ering, seeTable 4b).

E = EH-abstr + Ering

In  order to  improve  our  simulation  in  the  case of n-butane, the strain energies of the cyclic transi- tion state containing two oxygen atoms are now taken equal to 8 kcal/mol (instead of 8.5 kcal/mol, previ- ously) for a six-member ring. This is consistent with the uncertainty on the measured rate constant of this isomerization.

In  addition,  we  have  refined  our  estimation  of EH-abstr  in the case of (1) the abstraction of a hydro- gen atom borne by an atom of carbon linked to an atom of oxygen and of the reverse reaction, (__1), the abstraction by a radical in which the radical center is carried by an atom of carbon linked to an atom ofoxy- gen.

image.png


In  the  case  of  the  type  of  isomerization   (1), EH-abstr have been considered to be 2 kcal/mol lower than those of the similar reactions in the case of an atom  of carbon linked to only  atoms  of carbon  or of hydrogen or a radical center. The value (ΔE1 =_2 kcal/mol) corresponds to the difference in activa- tion energy between the abstraction by ethyl radicals at 800 K of an atom of hydrogen from methanol [44] and that of a primary atom of hydrogen from propane [45]. Table 4c presents examples of rate constants ob- tained for isomerizations and details the calculation of the activation energies including a case for whichthe 2 kcal/mol correction is needed.

In  the  case  of the  type  of isomerization  (_1), EH-abstr   have  been  increased  by  6  kcal/mol.  This value (ΔE1) has been obtained from that of isomer- ization (1) using thermochemistry (ΔE _ 1 = Δenth + ΔE1). According to THERGAS [31], the difference in  enthalpies  of  reaction  of  the  H  abstraction  by ·C2H5 radicals and by  CH3CHOH radicals (Δenth) is close to  8 kcal/mol at  800 K. The obtained in- crease, 6 kcal/mol, is then consistent with the fact that the activation energy of the H abstraction from ethane is 7 kcal/mol higher by ·CH2OH radicals than by methyl radicals [46].

Table 4

Parameters used for the calculation of the rate constants of internal isomerizations of alkylperoxy and hydroperoxy alkylperoxy free radicals

image.png

a  The reactions are considered as reversible and the rate parameters are those of the direct step.

b  The direct isomerization/decomposition is considered with the rate constant of the isomerization.

3.8.  Formation of cycloethers

The  formation  of cycloethers  competes  directly with the second addition to oxygen, which leads ul- timately to the formation of hydroperoxides, and has then an inhibiting effect on the global reactivity. The rate constants of these reactions are thus very sen- sitive parameters, but a direct measurement is only available for the formation of 4-member rings dur- ing  the  oxidation  of neo-pentane [47]  (k = 2.0  × 1011 exp(_7830/T ) s_1 ) and the parameters used for other cycles rely only on estimations. The new values, which are closer to those proposed by Curran et al.

[48] for the 5- and 6-member rings as shown in Ta-ble 5, lead to better results for ignition delay times than our previous estimations [7–12].

image.png

3.9.  Decomposition of hydroperoxides molecules in the secondary mechanis m

Hydroperoxides (hydroperoxy cycloethers or ke- tohydroperoxide  species)  are  degenerate  branching agents, which can easily decompose by breaking an O–OH bond and induce an increase of the amounts of ·OH radicals which ensure the propagation of the reaction. The reactivity of alkanes is directly related to the amounts of hydroperoxides formed and the rate constant of the decomposition of these compounds is then an important parameter. The value for this de- composition used up to now, in the secondary mech- anis ms generated by EXGAS, was obtained from an estimation of Benson [32]; the new values have been derived from a measurement of Sahetchian et al. [49] for the decomposition of hydroperoxides and are the following:

image.png

if the initial reactant is a branched alkane.

As  explained previously [7], to  avoid  a uncon- trolled  increase  of the  size  of the  mechanis m,  the secondary mechanis m generated by EXGAS does not contain  elementary  steps,  but  globalized  reactions. The lower value of the rate constant branched com- pounds  reflects  the  fact  that  the  decomposition  of hydroperoxides leads to less reactive molecules and radicals than in the case of linear alkanes. This part of the model should be improved in the future.


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1麦格纳斯太尔工程中心概述22FEMFAT全球用户–工业界22.1FEMFAT全球用户22.2FEMFAT全球用户大会33FEMFAT工程案例列举33.1白车身33.2驾驶室53.3大梁及其零部件63.4变速箱及其传动系统103.5齿轮133.6发动机及其零部件133.7曲轴和连杆163.8底盘零部件183.9其它零部件191麦格纳斯太尔工程中心概述麦格纳国际www.magna.com是麦格纳动力总成集团的母公司,为全球范围内的第三大汽车零部件生产制造商,截至2007年底,该公司营业额约300亿美元。截至2007年职工人数为8万3千多人。麦格纳动力总成集团职工人数为1万1千多人,创销售额34个亿美元。麦格纳于1998年收购了80年代初与原重汽公司合作过长达二十年之久的斯太尔工程技术中心。该公司原为欧洲著名的商用车制造商,其商标为中国家喻户晓众人皆知的斯太尔商标,生产的商用车已在中国本土曾处处可见。现斯太尔工程技术中心将工作重心由原来以生产为主转移到现在以研发为主。目前有雇员415人,中心的研发部门有系统传动工程、发动机工程、发动机零部件、车辆工程、工程技术中心和生产部门。其中的工程技术中心可对整车、零部件及系统集成提供仿真计算和试验,包括多体动力学分析、有限元仿真、整车热平衡管理、驾驶性仿真、流体计算、CAD/CAM支持、产品工程数据管理、PLM/EDM服务以及CAD设计。公司设计出的软件凝聚了公司几十年来的生产制造经验积累和沉淀,原来主要服务生产,如FEMFAT这个疲劳分析软件。通过和零部件厂商的不断接触,总结了大量的宝贵经验并可提供客户所需的数据库,该FEMFAT软件还将通过公司工程技术人员的不断努力进行不断的完善。2FEMFAT全球用户–工业界2.1FEMFAT全球用户2.2FEMFAT全球用户大会3FEMFAT工程案例列举这些工程案例均为斯太尔工程中心与各大汽车厂商紧密合作,应用FEMFAT对整车及零部件进行疲劳分析。在客户的应用中他们深刻的体会到这套软件的优越性:FEMFAT是一套面向工程开发的疲劳强度分析和优化的软件,凝聚ECS多年的工程开发实际经验,并经过大量用户的使用验证,其算法不仅可行,而且结果可靠。软件考虑了各种各样的疲劳强度影响因素,尽可能真实地反映实际构件的受力状态,提供可信的分析预测结果,便于工程师在产品设计的早期阶段预测评估,从而加速产品的开发过程,降低产品的开发成本,提高产品的开发质量。经过多年的项目合作与产品开发,在产品的结构强度分析方面,ECS积累了大量的数据和经验,能够根据用户需求建立结构强度分析、评价和优化的一整套系统化流程。ECS是专业的汽车开发技术工程中心,有一支世界上一流的专业化产品研究开发应用的队伍与一流的基础结构强度实验室,FEMFAT软件功能正不断扩展和增强,快速响应用户新的不同需求.FEMFAT软件与其它FE软件具有很好的集成性,操作简单,易学易用.3.1白车身日本某客户SUV:此项目采用路谱方法对白车身和底盘大梁架的基础材料、焊缝和焊点进行FEMFAT疲劳损伤值计算。3.2驾驶室某重卡:此项目采用路谱采集对驾驶室的基础材料、焊缝和焊点进行FEMFAT疲劳损伤值计算。3.3大梁及其零部件3.4变速箱及其传动系统MPT电动后驱变速模块:此项目对电动后驱变速模块eRDM进行有限元和FEMFAT疲劳分析。3.5齿轮3.6发动机及其零部件福特汽车4缸直列发动机:此项目应用FEMFATNVH模块对2款4缸直列发动机进行声学特性分析。3.7曲轴和连杆GEJenbacherJ320发动机曲轴:此项目对J320发动机(20气缸V70º)的曲柄在1000到2000转/分钟范围内进行共振分析和FEMFAT疲劳强度分析。奥迪V6发动机曲轴:此项目对V6发动机曲柄在1000到4700转/分钟范围内进行共振分析和FEMFAT疲劳强度分析。3.8底盘零部件3.9其它零部件某型泵体:此项目对泵体进行有限元和FEMFAT疲劳安全系数分析计算。免责声明:本页面/内容部分素材来源于互联网公开信息,旨在传递更多信息,不代表本平台立场。版权归原作者或机构所有,如涉及侵权,请通过平台联系我们,我们将在核实后第一时间处理。本平台对转载内容的真实性、准确性不作任何保证,用户需自行判断并承担使用风险。

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