CN104408233B - Engine TMAP sensor arrangement methods - Google Patents
Engine TMAP sensor arrangement methods Download PDFInfo
- Publication number
- CN104408233B CN104408233B CN201410609067.5A CN201410609067A CN104408233B CN 104408233 B CN104408233 B CN 104408233B CN 201410609067 A CN201410609067 A CN 201410609067A CN 104408233 B CN104408233 B CN 104408233B
- Authority
- CN
- China
- Prior art keywords
- pressure
- engine
- tmap
- measuring point
- inlet manifold
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 102100028630 Cytoskeleton-associated protein 2 Human genes 0.000 title claims abstract description 32
- 101000766848 Homo sapiens Cytoskeleton-associated protein 2 Proteins 0.000 title claims abstract description 32
- WOERBKLLTSWFBY-UHFFFAOYSA-M dihydrogen phosphate;tetramethylazanium Chemical compound C[N+](C)(C)C.OP(O)([O-])=O WOERBKLLTSWFBY-UHFFFAOYSA-M 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000001052 transient effect Effects 0.000 claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000009826 distribution Methods 0.000 claims description 18
- 239000004744 fabric Substances 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 4
- 238000011161 development Methods 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 239000000463 material Substances 0.000 abstract description 3
- 238000012827 research and development Methods 0.000 abstract description 3
- 239000000243 solution Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000004215 lattice model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Abstract
The invention belongs to automobile engine development technique field, more particularly to a kind of engine TMAP sensor arrangement methods include the following steps:(A) geometrical model of motor intake manifold is collected, and geometrical model is grouped, mesh generation;(B) the periodical transient state boundary condition of each inlet and outlet is obtained according to the one-dimensional calculation of thermodynamics of engine;(C) calculating is iterated after applying the periodical transient state boundary condition in step B to the grid model that step A is obtained;(D) according to result of calculation, pressure change point the most stable or region are found out for arranging TMAP sensors.By above step, exemplar trial-production best TMAP sensor arrangements position can be analyzed in the past again;The Contrast on effect of different positions can also be carried out simultaneously.Efficiency of research and development is improved, a large amount of material cost is saved.
Description
Technical field
The invention belongs to automobile engine development technique fields, the more particularly to a kind of sensor arrangement sides engine TMAP
Method.
Background technology
Engine TMAP sensors are one of sensors important on automobile, detect air pressure and temperature in inlet manifold
Degree ensures normal working of engine for correcting Engine Injection Mass.And TMAP sensing stations arrangement is unreasonable, believes it
Number detection has a great impact.At this stage in automobile engine development process, seldom (referred to as by computer fluid dynamics
CFD) the reasonability of technology analysis TMAP sensor arrangements position, is mostly based on the design-pattern of experiment-modification so repeatedly,
It is time-consuming, laborious, costly, and can be because being difficult in test the mobility status determined inside motor intake manifold so that it sets
Meter personnel are difficult to determine the basic reason led to the problem of.
Invention content
The purpose of the present invention is to provide a kind of engine TMAP sensor arrangement methods, ensure to place in inlet manifold
TMAP sensor placement locations optimize.
In order to achieve the above object, the technical solution adopted by the present invention is:A kind of engine TMAP sensor arrangement methods, packet
Include following steps:(A) geometrical model of motor intake manifold is collected, and geometrical model is grouped, mesh generation;(B)
The periodical transient state boundary condition of each inlet and outlet is obtained according to the one-dimensional calculation of thermodynamics of engine;(C) net that step A is obtained
Lattice model is iterated calculating after applying the periodical transient state boundary condition in step B;(D) according to result of calculation, pressure is found out
Variation the most stable point or region are for arranging TMAP sensors.
Compared with prior art, there are following technique effects by the present invention:By above step, can again exemplar trial-production with
Before, instantaneous pressure distribution situation in computer virtual environment in simulated engine inlet manifold simultaneously analyzes best TMAP
Sensor arrangement position;The Contrast on effect of different positions can also be carried out simultaneously.Efficiency of research and development is improved, is saved a large amount of
Material cost.
Description of the drawings
Fig. 1 is the dimensional structure diagram of motor intake manifold, wherein being labelled with five the first measuring points;
Fig. 2 is the one-dimensional Thermodynamic Calculating Model of engine;
Fig. 3 is the inlet flow rate-time graph and inlet temperature-time graph that model according to fig. 2 is calculated;
Fig. 4 is the outlet pressure-time graph for three outlets that model according to fig. 2 is calculated;
Fig. 5 is the outlet temperature-time graph for three outlets that model according to fig. 2 is calculated;
Fig. 6 is the curve that the pressure of each first measuring point in Fig. 1 changes over time;
Fig. 7 is inlet manifold maximum pressure distribution map;
Fig. 8 is inlet manifold minimum pressure distribution map;
Fig. 9 is intake manifold pressure variance distribution map;
Figure 10 is the flow diagram of the present invention.
Specific implementation mode
With reference to Fig. 1 to Figure 10, the present invention is described in further detail.
Refering to fig. 10, a kind of engine TMAP sensor arrangement methods include the following steps:(A) engine charge is collected
The geometrical model of manifold, and geometrical model is grouped, mesh generation;(B) it is obtained according to the one-dimensional calculation of thermodynamics of engine
The periodical transient state boundary condition of each inlet and outlet of inlet manifold;(C) grid model that step A is obtained is applied in step B
Periodical transient state boundary condition after be iterated calculating;(D) according to result of calculation, find out pressure change point the most stable or
Region is for arranging TMAP sensors.The basic thought of this method is:The continuous physics in room and time coordinate originally
The field of amount is replaced with a series of set of the value of limited a discrete points, is set up on these discrete points by certain principle
The algebraic equation of relationship between variate-value solves set up algebraic equation to obtain the approximate solution of solved variable.Cause
This, needs exist for being grouped the geometrical model of inlet manifold, mesh generation, the grid model of inlet manifold as shown in Figure 1,
The curve of wherein smooth transition shows to find out the stereoscopic effect of inlet manifold.During grid division, both
Ensure coincideing for grid model and realistic model, pays attention to control number of grid to ensure calculating speed in tolerance interval again
It is interior.Mesh generation it is thinner, grid model coincide with realistic model, but subsequent calculating speed can be slack-off.It is drawn in grid
/ preceding, inlet manifold is rationally grouped, entrance, outlet, inlet manifold wall surface are generally can be divided into, to facilitate subsequent net
Lattice divide.
Fig. 2 is the one-dimensional Thermodynamic Calculating Model of engine, according to the one-dimensional model can obtain inlet manifold it is each into
The periodical transient state boundary condition of outlet.Preferably, periodical transient state boundary condition is that inlet flow rate-time of inlet manifold is bent
Line, inlet temperature-time graph, outlet pressure-time graph, outlet temperature-time graph.As in Figure 3-5, first in Fig. 3
The curve for first reaching peak value is exactly inlet flow rate-time graph, another curve is inlet temperature-time graph;In Fig. 4, Fig. 5
Three curves distinguish three outlet.
It is described in order to ensure the convergence of calculating process and the accuracy of result of calculation because being that periodical transient state calculates
Step C in, at least calculate three entire engine working cycles.
If progress "ball-park" estimate is only needed to go out which point is more suitable for arranging TMAP sensors or to several arrangements
Point is compared, and can be handled as follows.In the step D, it is the most steady pressure change can be found out as follows
Fixed point:(D11) several first measuring points are found out on the resonant cavity in inlet manifold, these first measuring points can be that user thinks
The point to be arranged or layout points common in the art, point1~point5 in Fig. 1 are exactly described here first
Measuring point;(D12) curve that the pressure of each first measuring point changes over time is calculated, as shown in fig. 6, every curve corresponds to each
Point;(D13) according to above-mentioned curve, the maximum pressure and minimum pressure of each first measuring point are obtained;(D14) each first measuring point is calculated
Undulating value, wherein undulating value=maximum pressure-minimum pressure;(D15) that first measuring point of undulating value minimum is to arrange
The optimum position of TMAP sensors.It, can be with that curve more directly from figure when undulating value diversity ratio is larger
It is good;But by calculating, it can identify the small best curve of undulating value comparison in difference.
If necessary to assess entire inlet manifold, see which region is more suitable for arranging TMAP sensors, it can be by such as
Under type is handled.In the step D, pressure change region the most stable can be found out as follows:(D21) into
Second measuring point is chosen in each grid of gas manifold, the second measuring point is only used for the process calculated rather than final result
Judgement, therefore be not shown in figure;(D22) curve that the pressure of each second measuring point changes over time is calculated;(D23) according to upper
Curve is stated, the maximum pressure and minimum pressure of each second measuring point are obtained;(D24) air inlet is drawn by the maximum pressure of each second measuring point
Manifold maximum pressure distribution map indicates that the maximum pressure in the region is smaller as shown in fig. 7, color is more black in figure;(D25) by each
The minimum pressure of second measuring point draws inlet manifold minimum pressure distribution map and indicates the area as shown in figure 8, color is whiter in figure
The minimum pressure in domain is bigger;(D26) according to inlet manifold, maximum, minimum pressure distribution map obtains that maximum pressure is small, minimum pressure
Region white in black and Fig. 8 in big the region as optimum position of arrangement TMAP sensors namely Fig. 7.
If the region that maximum pressure is small, minimum pressure is big is not overlapped, that is, have that maximum pressure is minimum, minimum pressure the
Two big a-quadrants and maximum pressure second is small, the maximum B area of minimum pressure, at this point, can be by respectively taking one in A, B area
Measuring point compares two measuring points by step D11-D15.
It is highly preferred that also obtaining the pressure variance of each second measuring point in the step D23, step 26 is deleted;Step D25
Include the following steps later:(D27) intake manifold pressure variance distribution map, such as Fig. 9 are drawn by the pressure variance of each second measuring point
It is shown;(D28) according to inlet manifold, maximum, minimum pressure distribution map and variance distribution map obtain that maximum pressure is small, minimum pressure
The region that power is big and variance is small is the optimum position for arranging TMAP sensors.Here variance distribution map is introduced, is determined
Region is more stable, is more suitable for arranging TMAP sensors.Similarly, if maximum pressure is minimum, minimum pressure is maximum, variance most
Three small regions do not have overlapping region, the judgement of suspicious region point can be equally carried out according to the method described in the preceding paragraph.
Preferably, in no particular order, the size of mesh opening in step A is less than 3mm to step A, B.If size of mesh opening is super
This size is crossed, then the result badly calculated.
Technical solution through the invention, before the trial-production of inlet manifold exemplar, simulated engine air inlet in a computer
The instantaneous pressure distribution situation of manifold judges the quality of TMAP sensing stations arrangement and carries out necessary optimization, while can be into
The more layout points quality comparisons of row, improve efficiency of research and development, save a large amount of material cost.
Claims (5)
1. a kind of engine TMAP sensor arrangement methods, include the following steps:
(A) geometrical model of motor intake manifold is collected, and geometrical model is grouped, mesh generation;
(B) the periodical transient state boundary condition of each inlet and outlet is obtained according to the one-dimensional calculation of thermodynamics of engine;
(C) calculating is iterated after applying the periodical transient state boundary condition in step B to the grid model that step A is obtained;
(D) according to result of calculation, pressure change point the most stable or region are found out for arranging TMAP sensors;
The periodical transient state boundary condition be inlet flow rate-time graph of inlet manifold, inlet temperature-time graph,
Outlet pressure-time graph, outlet temperature-time graph;
In the step D, pressure change point the most stable can be found out as follows:
(D11) several first measuring points are found out on the resonant cavity in inlet manifold;
(D12) curve that the pressure of each first measuring point changes over time is calculated;
(D13) according to above-mentioned curve, the maximum pressure and minimum pressure of each first measuring point are obtained;
(D14) undulating value of each first measuring point, wherein undulating value=maximum pressure-minimum pressure are calculated;
(D15) that first measuring point of undulating value minimum is the optimum position for arranging TMAP sensors.
2. engine TMAP sensor arrangement methods as described in claim 1, it is characterised in that:In the step C, at least
Calculate three entire engine working cycles.
3. engine TMAP sensor arrangement methods as described in claim 1, it is characterised in that:In the step D, it can press
Following steps find out pressure change region the most stable:
(D21) second measuring point is chosen in each grid of inlet manifold;
(D22) curve that the pressure of each second measuring point changes over time is calculated;
(D23) according to above-mentioned curve, the maximum pressure and minimum pressure of each second measuring point are obtained;
(D24) inlet manifold maximum pressure distribution map is drawn by the maximum pressure of each second measuring point;
(D25) inlet manifold minimum pressure distribution map is drawn by the minimum pressure of each second measuring point;
(D26) it is cloth that according to inlet manifold, maximum, minimum pressure distribution map, which obtains the region that maximum pressure is small, minimum pressure is big,
Set the optimum position of TMAP sensors.
4. engine TMAP sensor arrangement methods as claimed in claim 3, it is characterised in that:In the step D23 also
Obtain the pressure variance of each second measuring point;Include the following steps after step D25:
(D27) intake manifold pressure variance distribution map is drawn by the pressure variance of each second measuring point;
(D28) according to inlet manifold, maximum, minimum pressure distribution map and variance distribution map obtain that maximum pressure is small, minimum pressure
Big and small variance region is the optimum position for arranging TMAP sensors.
5. engine TMAP sensor arrangement methods according to any one of claims 1-4, it is characterised in that:The step
A, in no particular order, the size of mesh opening in step A is less than 3mm to B.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410609067.5A CN104408233B (en) | 2014-10-31 | 2014-10-31 | Engine TMAP sensor arrangement methods |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410609067.5A CN104408233B (en) | 2014-10-31 | 2014-10-31 | Engine TMAP sensor arrangement methods |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104408233A CN104408233A (en) | 2015-03-11 |
CN104408233B true CN104408233B (en) | 2018-08-14 |
Family
ID=52645864
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410609067.5A Active CN104408233B (en) | 2014-10-31 | 2014-10-31 | Engine TMAP sensor arrangement methods |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104408233B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106055738B (en) * | 2016-05-18 | 2019-07-09 | 奇瑞汽车股份有限公司 | A kind of engine water jacket and Bulk temperature field coupled simulation design method |
CN106294964A (en) * | 2016-08-05 | 2017-01-04 | 重庆长安汽车股份有限公司 | A kind of analysis method determining intake manifold pressure sensor position |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102622490A (en) * | 2012-03-28 | 2012-08-01 | 奇瑞汽车股份有限公司 | Method for analyzing uniformity of exhaust gas recirculation (EGR) of engine air |
-
2014
- 2014-10-31 CN CN201410609067.5A patent/CN104408233B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102622490A (en) * | 2012-03-28 | 2012-08-01 | 奇瑞汽车股份有限公司 | Method for analyzing uniformity of exhaust gas recirculation (EGR) of engine air |
Non-Patent Citations (1)
Title |
---|
流固耦合作用对螺旋离心泵流场影响的数值分析;袁寿其等;《农业机械学报》;20130131;第44卷(第01期);第2.1节,图3 * |
Also Published As
Publication number | Publication date |
---|---|
CN104408233A (en) | 2015-03-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Afshari et al. | On numerical methods; optimization of CFD solution to evaluate fluid flow around a sample object at low Re numbers | |
CN102622490A (en) | Method for analyzing uniformity of exhaust gas recirculation (EGR) of engine air | |
JP2009087350A5 (en) | ||
CN101672637A (en) | Digitizing detection method of complicated curved face | |
Hillewaert et al. | Assessment of a high-order discontinuous Galerkin method for the direct numerical simulation of transition at low-Reynolds number in the T106C high-lift low pressure turbine cascade | |
CN104408233B (en) | Engine TMAP sensor arrangement methods | |
CN106547972B (en) | Fluid line method of topological optimization design based on parametrization Level Set Method | |
CN106651100A (en) | Internet-of-Vehicles optimal vehicle-mounted monitoring point-based air quality evaluation system and method | |
CN104951628A (en) | Engine thermodynamic simulation model calibration method based on multi-objective optimization | |
CN109444350A (en) | A kind of layout method of the atmosphere pollution monitoring sensor based on unmanned plane | |
CN102141064A (en) | Method for constructing turbulence model by spatial filtering method | |
US10496056B2 (en) | Measured value analysis apparatus and measured value analysis method | |
CN201514207U (en) | Digitized detection system for complex curved surface | |
CN107367552A (en) | Damage propatagtion method of real-time based on FCM algorithms under the influence of time varying temperature | |
CN102364479A (en) | Design analysis method for gas turbine gas inlet device | |
CN105136380B (en) | Measuring method, the device and system of pipe network static pressure | |
CN101750616A (en) | Method for measuring wind resistance to vegetation and the system thereof | |
CN212301385U (en) | Device for detecting influence of spontaneous combustion, heat production and gas production characteristics of coal on gas concentration field | |
CN108855573A (en) | A kind of coal pulverizer inlet air duct flow field improved method and structure based on CFD technology | |
CN102692902A (en) | Method and device for monitoring sense data based on finite-element analysis | |
KR20110119220A (en) | Hull block personal seal dry prediction system | |
CN108804791B (en) | Aircraft parameterization method suitable for embedded air inlet layout | |
CN104537145A (en) | Method for testing electromagnet output characteristic of airborne speed sensor | |
CN113505544A (en) | Bicycle motion virtual numerical value wind tunnel system based on finite volume method | |
CN105160131A (en) | Engine external EGR uniformity coupling calculation method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |