CN102184316B - Method for automatically selecting type of variable-force spring and determining type information - Google Patents

Method for automatically selecting type of variable-force spring and determining type information Download PDF

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CN102184316B
CN102184316B CN2011100921544A CN201110092154A CN102184316B CN 102184316 B CN102184316 B CN 102184316B CN 2011100921544 A CN2011100921544 A CN 2011100921544A CN 201110092154 A CN201110092154 A CN 201110092154A CN 102184316 B CN102184316 B CN 102184316B
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spring
model
load
series
type
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CN102184316A (en
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刘虎
于凤云
李晓霞
于勇
李海冰
杨俊琦
彭春华
王付军
齐增辉
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China Nuclear Power Engineering Co Ltd
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China Nuclear Power Engineering Co Ltd
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Abstract

The invention discloses a method for automatically selecting the type of a variable-force spring and determining type information. The method comprises the following steps of: defining relevant performance parameters of all series of springs by an array; before type selection, pre-judging allowed maximum stiffness; calculating a working load, and then determining the range of spring series according to the working load; and finally determining the spring series according to the parameters such as the allowed maximum stiffness. By the method provided by the invention, a user can quickly determine other parameter values after determining one parameter value of the spring in the array. Because data is searched and calculated in the array in the method, internal memory required by a computer is greatly saved, a large amount of repeated operation is not required, and type selection efficiency is greatly improved.

Description

A kind of method of automatically selected variable force spring model and definite this type information
Technical field
The invention belongs to the field of computation process and the method for variable force Spring Selection, be specifically related to a kind of according to known conditions, selected variable force spring model and determine the method for this type information automatically.
Background technology
Variable-force spring hanger mainly is used on plant piping, the variable-force spring hanger that will use as each M310 type pressurized-water reactor nuclear power plant just has more than 750, these variable-force spring hangers are calculative determination model one by one all, and fill in each load of spring and installation length, so that manufacturing plant is according to dispatching from the factory after installation length locking spring.
At present, variable force Spring Selection conventional method is all artificial calculating, its detailed process as shown in Figure 1:
(1) the spring model of correspondence in spring performance table according to known conditions evaluation work load definite this operating load, first-selected can cover this load than the spring of ting model, if subsequent calculations does not meet the demands, then select the spring that can cover this load of a large model.
(2) from series 1, the tentative calculation installed load, if subsequent calculations meets the demands, select this series, if do not meet the demands, tentative calculation series 2, until tentative calculation is to series 3.
(3) whether the load change rate that judges operating load and installed load meets and is less than the requirement that waits 25%, carries out the 4th step if meet, satisfied second step or the first step returned
(4) whether the abnormal minimax load reached under accident conditions of judgement exceeds selected serial stroke range, if exceed, returns to second step or the first step.
(5) search as pull bar table, loadmeter etc. the out of Memory that this spring is corresponding by other form, comprise original height, the information such as pull bar, complete type selecting.
Repeatedly use the work such as interpolation calculation and tentative calculation by this flow process, not only workload is large, take time and effort, and in computation process because the difference of different people ability, and the factor such as careless, especially a lot of people easily obscure the variation of the corresponding spring-compressed length of the positive and negative value of displacement, easily cause the type selecting mistake, thereby the potential safety hazard of bringing, and this process generally do not have type selecting report, is not easy to supervise.
Summary of the invention
For the defect existed in prior art, the object of the present invention is to provide a kind of method of automatically selected variable force spring model and definite this type information, by reducing unnecessary double counting in variable force Spring Selection process, improve the efficiency of type selecting.
For achieving the above object, the technical solution used in the present invention is as follows:
A kind of method of automatically selected variable force spring model and definite this type information comprises the following steps:
(1) by bidimensional array SV[i, j] all properties parameter of definition spring; Wherein, i and j be all the definition for meaning the sequence number of spring performance parameter;
(2) determine known conditions, comprise assumed (specified) load under types of springs, spring fitting type, movable load, nominal situation and minimum and the maximum displacement under thermal walking, unusual service condition and accident conditions;
(3) according to known conditions, the maximum stiffness of evaluation work load and permission;
(4) at bidimensional array SV[i, j] interior optimization sequential loop of carrying out from small to large type selecting with the spring model, determine that operating load certain model spring minimum load in array, to the spring model in spring maximum load scope, then determines spring series according to the maximum stiffness allowed;
(5) according to definite spring model and spring series, by inquiry bidimensional array SV[i, j] obtain other correlated performance parameter information of spring.
Further, the method for selected variable force spring model as above and definite this type information, in step (1), described bidimensional array SV[i, j] in, i >=1,1≤j≤28, i and j are defined as follows:
When 1≤j≤3, the bidimensional array SV[i of i=1, j] mean spring series number, the bidimensional array SV[i of i=2, j] mean the minimum stroke of corresponding series lower spring; The bidimensional array SV[i of i=3, j] mean the range of corresponding series lower spring;
When 4≤j≤28, the bidimensional array SV[i of i=1, j] mean concrete spring model, concrete spring model is j-3; The bidimensional array SV[i of i=2, j] mean the spring minimum load of corresponding model lower spring; The bidimensional array SV[i of i=3, j] mean the spring maximum load of corresponding model lower spring; I >=4 o'clock, mean other parameter value beyond the above-mentioned parameter value of the spring under user-defined each spring model.
Further, the method of selected variable force spring model as above and definite this type information, in step (1), the performance parameter of described spring comprises original height, spring travel and the pull bar model of spring model, spring series, spring minimum load, spring maximum load, rigidity, each concrete spring model.
Further, the method for selected variable force spring model as above and definite this type information, described types of springs comprises S type, P type, C type or D type.
Further, the method for selected variable force spring model as above and definite this type information, in step (4), determine that the concrete steps of spring model and spring series are:
1) tentatively determine spring model j-3 according to operating load; Wherein, 4≤j≤28, j-3 means concrete spring model; Start to judge successively that from j=4 spring model j-3 is whether in the scope of the spring model of regulation, if enter step 2); Be defined as without spring if not optional;
In load range when 2) checking operating load the load when the spring travel of preliminary definite spring model is 10% is 90% to spring travel, if definite spring model; The spring model is added if not to 1 rear repeating step 2);
3) determine preliminary spring series according to the maximum stiffness allowed;
4) check under unusual service condition with accident conditions under spring travel, minimum and maximum load whether all in the performance parameter scope of preliminary definite spring series, if definite this spring series adds spring series 1 rear repetition 4 if not).
Further, the method of selected variable force spring model as above and definite this type information, in the process of determining spring model and spring series, if determined that the corresponding all spring series of spring of model does not meet the maximum stiffness allowed, the spring model is added to 1 after repeating step 1 again)~step 4).
Further again, the method of selected variable force spring model as above and definite this type information, between step (3) and step (4), also need to check operating load whether at the minimum load of certain model spring in the maximum load scope, if carry out type selecting; Type selecting failure if not, need to consider select two springs or select constant-force spring hanger.
Further, the method for selected variable force spring model as above and definite this type information, described method is further comprising the steps of:
(6) according to the correlated performance parameter information of the selected spring of determining, the user generates the type selecting report by the final useful data of determining in the type selecting process as required.
Effect of the present invention is as follows:
1. the maximum stiffness that judgement allows in advance, and the scope of definite spring series, can avoid unnecessary repeatability to calculate;
2. the spring of same model only provides minimum stroke, range and corresponding load thereof, the load that all the other strokes are corresponding is calculated by rigidity fully, but not provide each stroke or provide a load every several millimeters strokes, need be by the load interpolation calculation of its immediate two strokes while calculating the corresponding load of different strokes;
3. the parameter of only knowing with all needs of all serial springs of bidimensional array define, comprise the load of stroke, rigidity, length, weight, pull bar, pull bar etc., after determining a value, other value realizes corresponding one by one by row value and train value, just can complete final type selecting and calculating but not need to search now a plurality of forms, search and computational data in the array of this program in computation process, greatly saved and calculated required calculator memory;
4. according to single spring or spring in parallel calculates accordingly result automatically;
5. the selected scope of the operating load of spring is fixed in middle 80% scope of stroke of certain model, guarantee that type selecting is more reliable;
6. according to the position of spring model correspondence in array, determine the out of Memory of selected spring, and automatically generate the type selecting report.The conclusion that the type selecting process obtains had both met the requirement of drawing the suspension and support assembly drawing, also met the requirement of submitting producer's installation length to, guaranteed that the type selecting process has good grounds simultaneously, no longer carried out repetitive operation, had reduced workload.
The accompanying drawing explanation
Fig. 1 is the conventional artificial process flow diagram that calculates selected variable force spring model and determine this type information;
Fig. 2 is that in embodiment, automatically selected variable force spring model reaches the method flow diagram of determining type information;
The array data that Fig. 3 is variable force spring performance in embodiment;
Fig. 4 is that in embodiment, the variable force Spring Selection calculates front interface;
Fig. 5 is variable force Spring Selection interface as a result in embodiment;
Fig. 6 is the type selection calculation report interface automatically generated in embodiment.
Embodiment
Below in conjunction with Figure of description and specific embodiment, the present invention is described in further detail.
Fig. 2 shows automatically selected variable force spring model in the embodiment of the present invention and reaches the method flow diagram of determining this type information, comprises the following steps:
Step S11: by performance and each performance parameter of array define spring;
By two-dimensional array SV[i, j] definition spring performance parameter; Wherein, i and j be all the definition for meaning the sequence number of spring performance parameter, comprise spring model and spring series; It is defined as follows:
When 1≤j≤3, the bidimensional array SV[i of i=1, j] mean spring series number, the bidimensional array SV[i of i=2, j] mean the minimum stroke of corresponding series lower spring; The bidimensional array SV[i of i=3, j] mean the range of corresponding series lower spring;
When 4≤j≤28, the bidimensional array SV[i of i=1, j] mean concrete spring model, concrete spring model is j-3; The bidimensional array SV[i of i=2, j] mean the spring minimum load of corresponding model lower spring; The bidimensional array SV[i of i=3, j] mean the spring maximum load of corresponding model lower spring; I >=4 o'clock, mean other parameter value beyond the above-mentioned parameter value of the spring under user-defined each spring model.
Wherein, performance parameter comprises the needed parameters of user such as original height, spring travel and pull bar model of spring series, spring minimum load, spring maximum load, rigidity, each concrete spring model.
Step S12: determine known conditions;
Determine known conditions, comprise assumed (specified) load and thermal walking under types of springs (S type, P type, C type or D type), movable load, nominal situation,, minimum and maximum displacement under unusual service condition and accident conditions.
Spring for the D type, parameter in its two-dimensional array and S/P/C type different, the method for expressing of spring is just not identical yet, there is no pull bar, in use, can carry out as required different definition, but its computation process is the same with method, so, in the step of definite spring type of back number and spring series, while according to the Spring Selection function, carrying out the type selection calculation process, again the type selecting of D type spring is not described.
Step S13: the maximum stiffness that evaluation work load allow;
According to known conditions, the maximum stiffness of evaluation work load and permission.When calculating, if the spring fitting type is two spring parallel connections, when program is carried out, be (movable load+assumed (specified) load)/2 during evaluation work load, single spring if, in the time of the program execution, evaluation work load is not divided by 2.
Carry out type selecting after determining operating load before, between step (3) and step (4), also need to check that whether operating load arrives in the maximum load scope, if carry out type selecting at the minimum load of certain model spring; Type selecting failure if not, need to consider select two springs or select constant-force spring hanger.
Step S14: determine spring model and spring series;
At two-dimensional array SV[i, j] interior optimization sequential loop of carrying out from small to large type selecting with the spring model, determine operating load in array certain model spring minimum load to spring model corresponding to time in spring maximum load scope, then according to the maximum stiffness allowed determine spring series corresponding represent sequence number.
Wherein, the concrete steps of determining spring number and spring series are:
1) tentatively determine spring model j-3 according to operating load; Wherein, 4≤j≤28, j-3 means concrete spring model; Start to judge successively that from j=4 spring model j-3 is whether in the scope of the spring model of regulation, if enter step 2); Be defined as without spring if not optional;
In load range when 2) checking operating load the load when the spring travel of preliminary definite spring model is 10% is 90% to spring travel, if definite spring model; The spring model is added if not to 1 rear repeating step 2);
3) determine preliminary spring series according to the maximum stiffness allowed;
4) check under unusual service condition with accident conditions under spring travel, minimum and maximum load whether all in the performance parameter scope of preliminary definite spring series, if definite this spring series adds spring series 1 rear repetition 4 if not).
In the process of determining spring model and series, if it is satisfactory to determine that all series of the spring of model all do not have, after needing the spring model is added to 1, repeat again said process.
Step S15: determine other correlated performance energy parameter;
According to definite spring model and spring series, by inquiry two-dimensional array SV[i, j] obtain the correlated performance parameter information of spring.
Step S16: generate the type selecting report.
According to the correlated performance parameter information of the selected spring of determining, the user generates the type selecting report by the final useful data of determining in the type selecting process as required.
The i of corresponding array and j value according to selected model, further determine other parameter of variable force spring correspondence in array of this model by two bit array, and according to the final useful data in the type selecting process, it is reacted in the type selection calculation report and (newly automatically generates the files such as word or excel), be convenient to check and correction and reference later.
Below in conjunction with specific embodiment, the present invention is described further.
Embodiment
At first by array SV[i, j] performance parameter of definition spring, in the present embodiment, i and j be all definition for meaning the sequence number of spring performance parameter, comprise spring model and spring series; Wherein, i >=1,1≤j≤28 are defined as follows:
When 1≤j≤3, the bidimensional array SV[i of i=1, j] mean spring series number, the bidimensional array SV[i of i=2, j] mean the minimum stroke of corresponding series lower spring; The bidimensional array SV[i of i=3, j] mean the range of corresponding series lower spring;
When 4≤j≤28, the bidimensional array SV[i of i=1, j] mean concrete spring model, concrete spring model is j-3; The bidimensional array SV[i of i=2, j] mean the spring minimum load of corresponding model lower spring; The bidimensional array SV[i of i=3, j] mean the spring maximum load of corresponding model lower spring;
I >=4 o'clock, mean other parameter value beyond the above-mentioned parameter value of the spring under user-defined each spring model.
The array data of variable force spring performance parameter (for the directly perceived form with form means) as shown in Figure 3 in the present embodiment, for example, SV[1,1] mean that the spring series number is 3, SV[1,2] mean that the spring series number is 2, SV[4,4] mean the rigidity value of the spring series 1 that the spring model is 1.
In this example, in known conditions, the type of variable force spring is the P type, the installation form of spring is two spring parallel connections, movable load 20daN, the load 75daN under the nominal situation in the pipeline report calculated, thermal walking 4mm, least displacement-7mm under unusual service condition, maximum displacement 5mm, the least displacement-9mm under accident conditions, maximum displacement 7mm, two parallel connections of spring.Above-mentioned known conditions is input to the interface before calculating, as shown in Figure 4, because the spring fitting type is two spring parallel connections, so can be just (75+20)/2=47.5daN according to this known conditions evaluation work load, this operating load value be obviously in the scope of the spring minimum load of a certain model and maximum load as seen in Figure 3.When calculating the maximum stiffness allowed, using displacement absolute value under nominal situation and the greater in the displacement absolute value sum under unusual service condition shift value as judgement rigidity, obviously in this example, for the displacement that judges rigidity, be |-7|+5=12mm, so the maximum stiffness allowed is 0.25 * 47.5/12=0.99daN/mm.
After the maximum stiffness that calculates operating load and permission, carry out from small to large the optimization sequential loop of type selecting with spring in array, can determine that by Fig. 3 the spring operating load is at array SV[i, j] in certain model spring load scope the time during corresponding array j=5 value, its spring minimum load and maximum load are respectively 33.3 and 56.7, and obviously operating load 47.5 is in this scope.Now can tentatively determine that the spring model is model 2, then check that the load of this model spring when spring travel is 10% is: 33.3+10% * 30 * 0.78 (series 1)=35.64=33.3+10% * 60 * 0.39 (series 2), the load when spring travel is 90% is: 33.3+90% * 30 * 0.78 (series 1)=54.36=33.3+90% * 60 * 0.39 (series 2); In load range when so the load of operating load when spring travel 10% arrives spring travel 90%, be svxn shown in Fig. 2 (2, j) (4, (2, j)+90% * 30 * svxn (4 for j)<operating load<svxn for+10% * 30 * svxn, j), wherein, and svxn (2, spring minimum load when j) expression spring model is model 2, svxn (4, j) mean that the spring model is the rigidity value that model 2, spring series are at 1 o'clock.So determine that model is 2 is SV2.Due to same model, different series spring in the middle of it minimax load of 80 percent stroke be all the same, so the present embodiment just is illustrated with serial 1.In traditional method as long as operating load is just passable within the minimum load of spring and maximum load scope, there is no clear and definite not allowing in stroke zone, the two ends of spring according to saying, but all try one's best when type selecting and do not select at two ends traditionally, but there is no the concrete data that define yet, in the present embodiment, selecting middle 80% stroke rule of thumb to reach work summary at ordinary times makes, can allow like this result more conservative, and not there will be accident, increase safety coefficient.
Then according to the maximum stiffness 0.99daN/mm allowed, determine the series of spring, series 1 (rigidity value is 0.78) just can meet rigidity requirement as seen from Figure 3, but further adjust, minimum load under accident conditions is: 47.5+0.78 * 4-0.78 * 7=45.16>33.33 meet the requirements; And maximum load is: 47.5+0.78 * 4-0.78 * (9)=57.64>56.7 (spring maximum load), undesirable, so select again series 2, and subsequent calculations meets requirements, the sequence number that represents of final selected spring model is 5, the sequence number that represents of spring series is 2, so definite spring is SV2 series 2P type.
After determining the i and j value of the array that selected model is corresponding, further determine other parameter of variable force spring correspondence in array of this model by array, comprise under abnormal and accident conditions minimax load, load change rate, initial length, the information such as pull bar that installation length is corresponding, as shown in Figure 5, design load in the present embodiment is (20+75) * 1.66=157.7, and the load 450>design load 157.7 for selected spring pull bar, meet the requirements.Wherein, in the process of calculating design load, no matter a spring or the spring of two parallel connections, for security consideration, the time in parallel, guarantee that a pull bar has broken, an other pull bar can bear total load, so the design load 75 * 1.66=78.75 of (20+75) * 1.66 that the present embodiment is used rather than single spring.After finally having determined spring model and spring series, the user can, as required according to the final useful data in the type selecting process, be reacted to it in type selection calculation report and (newly automatically generate the files such as word or excel) as shown in Figure 6.
The selection method that invention relates to is summarized in the type selecting of Fuqing, Fujian first phase nuclear power program variable force spring.The research of this analytical approach has practical engineering background, whole research process causes by the complicated complicated processes of the type selecting of the actual generation of engineering, completes accurately at short notice the type selecting of a large amount of variable force springs and determines that this type information is the fundamental driving force of this research.The present invention is on the basis of labor Problems characteristics, traditional hand computation is combined with the modern programming technology, fully understand the function of Visual Basic programming software and combine with Microsoft office excel, final take Visual Basic programming software and realized the method for automatic Model Selection as platform, successfully solved the automatic Model Selection problem of Fuqing, Fujian nuclear power first stage of the project and follow-up nuclear power engineering variable force spring.
Obviously, those skilled in the art can carry out various changes and modification and not break away from the spirit and scope of the present invention the present invention.Like this, if within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technology thereof, the present invention also is intended to comprise these changes and modification interior.

Claims (7)

1. an automatically selected variable force spring model reaches the method for determining this type information, comprises the following steps:
(1) by bidimensional array SV[i, j] all properties parameter of definition spring; Wherein, i and j be all the definition for meaning the sequence number of spring performance parameter; The performance parameter of described spring comprises original height, spring travel and the pull bar model of spring model, spring series, spring minimum load, spring maximum load, rigidity, each concrete spring model;
(2) determine known conditions, comprise assumed (specified) load under types of springs, spring fitting type, movable load, nominal situation and minimum and the maximum displacement under thermal walking, unusual service condition and accident conditions;
(3) according to known conditions, the maximum stiffness of evaluation work load and permission; When calculating the maximum stiffness value allowed, using displacement absolute value under nominal situation and the greater in the displacement absolute value sum under unusual service condition as the shift value of judgement rigidity, using the product maximum stiffness as permission divided by this shift value again of load change rate of operating load and permission;
(4) at bidimensional array SV[i, j] interior optimization sequential loop of carrying out from small to large type selecting with the spring model, determine that operating load certain model spring minimum load in array, to the spring model in spring maximum load scope, then determines spring series according to the maximum stiffness allowed;
(5) according to definite spring model and spring series, by inquiry bidimensional array SV[i, j] obtain other correlated performance parameter information of spring.
2. selected variable force spring model as claimed in claim 1 reaches the method for determining this type information, it is characterized in that: in step (1), and described bidimensional array SV[i, j] in, i >=1,1≤j≤28, i and j are defined as follows:
When 1≤j≤3, the bidimensional array SV[i of i=1, j] mean spring series number, the bidimensional array SV[i of i=2, j] mean the minimum stroke of corresponding series lower spring; The bidimensional array SV[i of i=3, j] mean the range of corresponding series lower spring;
When 4≤j≤28, the bidimensional array SV[i of i=1, j] mean concrete spring model, concrete spring model is j-3; The bidimensional array SV[i of i=2, j] mean the spring minimum load of corresponding model lower spring; The bidimensional array SV[i of i=3, j] mean the spring maximum load of corresponding model lower spring; I >=4 o'clock, mean other parameter value beyond the above-mentioned parameter value of the spring under user-defined each spring model.
3. selected variable force spring model as claimed in claim 1 reaches the method for determining this type information, and it is characterized in that: described types of springs comprises S type, P type, C type or D type.
4. selected variable force spring model as claimed in claim 2 reaches the method for determining this type information, it is characterized in that: in step (4), determine that the concrete steps of spring model and spring series are:
1) tentatively determine spring model j-3 according to operating load; Wherein, 4≤j≤28, j-3 means concrete spring model; Start to judge successively that from j=4 spring model j-3 is whether in the scope of the spring model of regulation, if enter step 2); Be defined as without spring if not optional;
In load range when 2) checking operating load the load when the spring travel of preliminary definite spring model is 10% is 90% to spring travel, if definite spring model; The spring model is added if not to 1 rear repeating step 2);
3) determine preliminary spring series according to the maximum stiffness allowed;
4) check under unusual service condition with accident conditions under spring travel, minimum and maximum load whether all in the performance parameter scope of preliminary definite spring series, if definite this spring series adds spring series 1 rear repetition 4 if not).
5. selected variable force spring model as claimed in claim 4 reaches the method for determining this type information, it is characterized in that: in the process of determining spring model and spring series, if determined that the corresponding all spring series of spring of model does not meet the maximum stiffness allowed, the spring model is added to 1 after repeating step 1 again)~step 4).
6. selected variable force spring model as claimed in claim 1 reaches the method for determining this type information, it is characterized in that: between step (3) and step (4), also need to check operating load whether at the minimum load of certain model spring in the maximum load scope, if carry out type selecting; Type selecting failure if not, need to consider select two springs or select constant-force spring hanger.
7. selected variable force spring model as claimed in claim 1 reaches the method for determining this type information, and it is characterized in that: described method is further comprising the steps of:
(6) according to the correlated performance parameter information of the selected spring of determining, the user generates the type selecting report by the final useful data of determining in the type selecting process as required.
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CN108563858B (en) * 2018-04-08 2022-04-29 珠海市英诚电子科技有限公司 Method for calculating spring selection parameters, computer device and computer-readable storage medium
CN109213798A (en) * 2018-10-29 2019-01-15 山东省环能设计院股份有限公司 A kind of constant-force spring hanger selection method
CN110704961A (en) * 2019-08-27 2020-01-17 中机国能电力工程有限公司 Variable-force spring support and hanger series parameters and selection method thereof

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101853072A (en) * 2010-05-14 2010-10-06 东南大学 Haptic modeling method for deformation simulation of flexible body

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101853072A (en) * 2010-05-14 2010-10-06 东南大学 Haptic modeling method for deformation simulation of flexible body

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
基于ANSYS的变刚度螺旋弹簧优化设计;石丽娜等;《辽宁工业大学学报(自然科学版)》;20090215;第29卷(第01期);44-47 *
张健等.摇枕弹簧自动选配系统模型的研究.《铁道机车车辆》.2006,第26卷(第02期),14-16.
摇枕弹簧自动选配系统模型的研究;张健等;《铁道机车车辆》;20060430;第26卷(第02期);14-16 *
支吊架零部件重量及吊零方式对弹簧型号和管道应力的影响;李国斌等;《石油化工设备》;20080525;第37卷(第03期);22-28 *
李国斌等.支吊架零部件重量及吊零方式对弹簧型号和管道应力的影响.《石油化工设备》.2008,第37卷(第03期),22-28.
石丽娜等.基于ANSYS的变刚度螺旋弹簧优化设计.《辽宁工业大学学报(自然科学版)》.2009,第29卷(第01期),44-47.

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