CN111881605B - Automatic optimization design method for variable frequency air conditioner compressor pipeline - Google Patents
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Abstract
The invention relates to the field of air conditioners, in particular to an automatic optimization design method for a variable frequency air conditioner compressor pipeline, which can realize the automatic searching of an optimal design scheme in the pipeline design based on the actual load of the operation of a variable frequency air conditioner and simultaneously realize the optimization of pipeline vibration, noise and cost. The method comprises the steps of obtaining vibration loads of the variable frequency air conditioner at various frequency points and a pipeline parametric three-dimensional model, guiding the pipeline parametric three-dimensional model into a finite element vibration simulation module to establish a pipeline finite element simulation model, then loading the vibration loads of the variable frequency air conditioner at various frequency points onto the pipeline finite element simulation model to perform simulation, setting the value range of each pipeline parameter, automatically analyzing the sensitivity of the pipeline parameter to a simulation result, determining the pipeline parameter with the sensitivity value higher than a set standard threshold value as a pipeline optimization key parameter, automatically optimizing the key parameter, returning the optimal parameter to the pipeline parametric three-dimensional model to update the model, and being suitable for air conditioner pipeline design.
Description
Technical Field
The invention relates to the field of air conditioners, in particular to an automatic optimization design method for a variable frequency air conditioner compressor pipeline.
Background
At present, the refrigeration industry almost enters the comprehensive frequency conversion era, and the problems of vibration and noise in the development process of frequency conversion products are pain points and difficulties faced by the whole refrigeration industry. In a refrigeration system, a compressor provides circulating power for the system, the power source is also a vibration noise source, a pipeline system connected with the compressor is a main way for transmitting the vibration of the compressor, the good and bad design of the pipeline system has the effects of inhibiting and amplifying the vibration noise of the compressor, and meanwhile, the self attribute of the pipeline system can also generate vibration and noise. The frequency conversion compressor has multiple vibration sources with wide working frequency points and wide range, and the refrigeration system has complex pipeline structure and low rigidity, so that the inherent frequency of a pipeline system is low and more, and the frequency of an excitation source is easy to approach or coincide with the inherent frequency of the pipeline system in the working process of the frequency conversion compressor, thereby causing the problems of vibration and noise of the pipeline system, affecting the comfort and reliability of products, and particularly directly causing fatigue fracture of the pipeline when the pipeline system has larger resonance, thus causing serious consequences. The vibration and noise level of the variable frequency air conditioner system depends on the compressor and the pipeline attribute matched with the compressor, the pipeline vibration and noise problem of the compressor is solved by redesigning or optimizing and modifying the pipeline system by a common method in the industry, a relatively good scheme is found by the industry based on tests or simple simulation in a continuous trial and error mode at present, the test cost is high, the period is long, and the optimization effect is poor.
Aiming at the aspect of pipeline optimization, a small number of patents are provided, but most of the patents are unilateral optimization of pipeline vibration, the indexes such as the actual load characteristic of a compressor, the coupling problem of noise and vibration, the pipeline design cost and the like are not considered, and the process rule problem in the automatic optimization process of the pipeline is not considered, for example, a simple and manual optimization method through modal simulation and statics simulation is disclosed in a pipeline vibration reduction optimization method with the publication number of CN104408216A, automation and intelligence are lacked, and the method is difficult to be applied to a variable frequency pipeline system. The simulation optimization method for vibration of the fixed-frequency air conditioner compressor pipe with the publication number of CN109002619A discloses a manual pipeline optimization method taking a single natural frequency as an optimization target. The publication number CN110765569A discloses a multi-objective optimization method for vibration reduction of an air conditioner pipeline structure, a computer readable storage medium and a terminal, and discloses that a pipeline system meeting vibration standards is obtained by inputting pipeline parameters as design parameters for simulation modeling and performing multi-objective optimization analysis, but only a single vibration objective is considered, the actual load and the pipeline noise of a compressor are not considered, and a pipeline design rule is not integrated in the optimization process, so that the practical application of the method has limitations.
Disclosure of Invention
The invention aims to provide an automatic optimization design method for a compressor pipeline of a variable frequency air conditioner, which can automatically search an optimal design scheme in pipeline design based on actual load of operation of the variable frequency air conditioner, simultaneously realize optimization of pipeline vibration, noise and cost, integrate pipeline design specifications, detect pipeline parameters in real time when a pipeline is modeled or a model is updated, correct the pipeline parameters which do not meet the pipeline design specifications, enable the pipeline with automatically optimized parameters to meet actual use requirements, and improve the practicability of the method.
The invention adopts the following technical scheme to realize the aim, and the automatic optimization design method of the variable frequency air conditioner compressor pipeline comprises the following steps:
step (1), obtaining vibration loads of the variable frequency air conditioner at various frequency points;
step (2), obtaining a pipeline parameterized three-dimensional design system through customized development of professional software;
step (3), a pipeline parametric modeling is completed by utilizing a pipeline parametric three-dimensional design system, and a pipeline parametric three-dimensional model is obtained;
step (4), introducing the pipeline parameterized three-dimensional model into a finite element vibration simulation module to establish a pipeline finite element simulation model, and then loading vibration loads of the variable frequency air conditioner at various frequency points onto the pipeline finite element simulation model for simulation;
step (5), establishing an optimization target in a simulation result;
setting the value range of each pipeline parameter, automatically analyzing the sensitivity of the pipeline parameter to the simulation result in the value range of the pipeline parameter, enabling the sensitivity to be reflected by a sensitivity value, and determining the pipeline parameter with the sensitivity value higher than a set standard threshold value as a pipeline optimization key parameter;
and (7) automatically optimizing the parameters of the pipeline optimization key parameters by adopting an optimization algorithm to obtain optimal parameters, returning the optimal parameters to the pipeline parameterized three-dimensional model, automatically updating the simulation result, and outputting the updated simulation scheme.
Further, in the step (1), the obtaining of the vibration load of each frequency point of the inverter air conditioner comprises:
A. obtaining the suction pressure and the exhaust pressure of the variable frequency air conditioner at each frequency point through a pressure test;
B. performing a compressor vibration test through the obtained suction and discharge pressure to obtain vibration displacement of the suction and discharge of the compressor;
C. and calculating the vibration load of the compressor according to the vibration displacement.
Further, in the step (2), the pipeline parameterization three-dimensional design system can extract and manage pipeline design parameters, and the system is integrated with pipeline design specifications, can detect the pipeline parameters in real time when a pipeline is modeled or a model is updated, and corrects the pipeline parameters which do not meet the pipeline design specifications.
Further, the pipeline design specification includes: the pipeline is bent and processed normatively, the minimum distance between pipeline and the pipeline is normatively, the minimum distance between pipeline and compressor, sheet metal component is normatively, the minimum straight line segment length of pipeline bending interlude is normatively, the minimum straight line segment length of pipeline bending beginning segment and ending segment is normatively.
Further, the design parameters include: the direction, height and radius of each section of pipeline, the spatial position parameter of the four-way valve, the bending radius parameter of the pipeline, the wall thickness parameter of the pipeline, the structural parameter of the rubber foot, the material parameter and the parameter constraint of the pipe orifice at a special position.
Further, the special position nozzle includes: the air conditioner comprises a suction and exhaust pipe orifice connected with a compressor, a pipe orifice connected with a four-way valve and a pipe orifice connected with a condenser.
Further, in step (5), the establishing of the optimization objective includes: establishing a pipeline vibration optimization objective, establishing a pipeline noise optimization objective and establishing a pipeline cost optimization objective.
Further, the pipeline vibration optimization target is established by taking pipeline stress as a core, dispersing the working frequency range of the compressor into N frequency sections according to different frequency point stresses of the variable frequency compressor, selecting the maximum stress of the four-way valve pipeline assembly in each frequency section, and respectively performing vector summation on the stresses in the X direction, the Y direction and the Z direction to obtain a target output parameter, wherein the preset optimization requirement corresponding to the pipeline vibration optimization target is to optimize the pipeline stress to be smaller than an enterprise pipeline stress standard threshold value.
Further, the establishment of the pipeline noise optimization target takes the pipeline vibration speed in vibration simulation as a core, the corresponding relation between the vibration speed and the vibration noise is established, the level of the pipeline vibration noise is indirectly reflected, and the preset optimization requirement corresponding to the pipeline noise optimization target is that the pipeline noise is optimized to be smaller than a standard threshold value of enterprise pipeline noise; the objective of establishing pipeline cost optimization is centered on the overall quality of the pipeline.
Further, in the step (6), the optimization algorithm is a MOGA multi-objective genetic algorithm and/or a multi-objective adaptive algorithm and/or a response surface optimization algorithm.
Firstly, obtaining vibration loads of the variable frequency air conditioner at various frequency points and a pipeline parametric three-dimensional design system, and then completing pipeline parametric modeling by using the pipeline parametric three-dimensional design system to obtain a pipeline parametric three-dimensional model; importing the pipeline parameterized three-dimensional model into a finite element vibration simulation module to establish a pipeline finite element simulation model, and then loading vibration loads of the variable frequency air conditioner at various frequency points onto the pipeline finite element simulation model for simulation; establishing an optimization target in the simulation result, wherein the optimization target comprises pipeline vibration, noise and cost; setting the value range of each pipeline parameter, automatically analyzing the sensitivity of the pipeline parameter to the simulation result in the value range of the pipeline parameter, responding to the sensitivity value, and determining the pipeline parameter with the sensitivity value higher than a set standard threshold value as a pipeline optimization key parameter; automatically optimizing the parameters of the pipeline optimization key parameters by adopting an optimization algorithm to obtain optimal parameters, returning the optimal parameters to the pipeline parameterized three-dimensional model, automatically updating a simulation result, and outputting an updated simulation scheme, namely the optimal scheme in the value range of the current pipeline parameters; the method has the advantages that the optimal design scheme is automatically found in the pipeline design based on the actual load of the operation of the variable frequency air conditioner, and meanwhile, the pipeline vibration, noise and cost are optimized; the pipeline parameterization three-dimensional design system can extract and manage the pipeline design parameters, integrates the pipeline design specification, can detect the pipeline parameters in real time when a pipeline is modeled or a model is updated, and corrects the pipeline parameters which do not meet the pipeline design specification, so that the pipeline with the automatically optimized parameters meets the actual use requirement, and the practicability of the method is improved.
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FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention relates to an automatic optimization design method for a compressor pipeline of an inverter air conditioner, which is shown in a flow chart of a method in figure 1 and comprises the following steps:
step 101: obtaining vibration loads of the variable frequency air conditioner at various frequency points and obtaining a pipeline parameterization three-dimensional design system through professional software customization development;
step 102: completing pipeline parametric modeling by using a pipeline parametric three-dimensional design system to obtain a pipeline parametric three-dimensional model;
step 103: importing the parameterized three-dimensional model of the pipeline into a finite element vibration simulation module to establish a finite element simulation model of the pipeline;
step 104: loading vibration loads of the variable frequency air conditioner at each frequency point to a pipeline finite element simulation model for simulation;
step 105: establishing an optimization target in a simulation result;
step 106: setting the value range of each pipeline parameter, automatically analyzing the sensitivity of the pipeline parameter to the simulation result in the value range of the pipeline parameter, responding to the sensitivity value, and determining the pipeline parameter with the sensitivity value higher than a set standard threshold value as a pipeline optimization key parameter;
step 107: performing automatic parameter optimization on the pipeline optimization key parameters by adopting an optimization algorithm to obtain optimal parameters, returning the optimal parameters to the pipeline parameterization three-dimensional model, automatically updating a simulation result, and outputting an updated simulation scheme;
in step 101, the obtaining of the vibration load of each frequency point of the variable frequency air conditioner includes:
A. obtaining the suction pressure and the exhaust pressure of the variable frequency air conditioner at each frequency point through pressure test;
B. performing a compressor vibration test through the obtained suction and discharge pressure to obtain the suction and discharge vibration displacement of the compressor;
C. and calculating the vibration load of the compressor according to the vibration displacement.
In step 101, professional customized development can be performed by using three-dimensional software such as Creo, proe, UG and the like, so as to obtain a pipeline parameterized design system.
In step 101, the pipeline parameterized three-dimensional design system can extract and manage pipeline design parameters, and the system incorporates pipeline design specifications, can detect the pipeline parameters in real time during pipeline modeling or model updating, and corrects the pipeline parameters which do not meet the pipeline design specifications.
Wherein, the pipeline design specification includes: the pipeline is bent and processed normatively, the minimum distance between pipeline and the pipeline is normatively, the minimum distance between pipeline and compressor, sheet metal component is normatively, the minimum straight line segment length of pipeline bending interlude is normatively, the minimum straight line segment length of pipeline bending beginning segment and ending segment is normatively.
The design parameters include: the direction, height and radius of each section of pipeline, the spatial position parameter of the four-way valve, the bending radius parameter of the pipeline, the wall thickness parameter of the pipeline, the structural parameter of the rubber foot, the material parameter and the parameter constraint of the pipe orifice at a special position.
Wherein, special position mouth of pipe includes: the air conditioner comprises a suction and exhaust pipe orifice connected with a compressor, a pipe orifice connected with a four-way valve and a pipe orifice connected with a condenser.
In one embodiment, three-dimensional design software (such as Creo, proe, UG and the like) and simulation software (such as ansys workbench and the like) can be associated to realize bidirectional parameter transmission, a pipeline parameterized three-dimensional model is led into a finite element vibration simulation module (such as a Harmonic Response simulation module of the ansys workbench) to be preprocessed and set boundary conditions and physical parameters, the finite element simulation model is established, and then vibration loads of the variable frequency air conditioner at various frequency points are loaded on the pipeline finite element simulation model to be simulated.
In step 105, establishing an optimization objective includes: establishing a pipeline vibration optimization objective, establishing a pipeline noise optimization objective and establishing a pipeline cost optimization objective.
The method comprises the steps of establishing a pipeline vibration optimization target, taking pipeline stress as a core, dispersing the working frequency range of a compressor into N frequency sections according to different frequency point stresses of a variable frequency compressor, selecting the maximum stress of a four-way valve pipeline assembly in each frequency section, and performing vector summation on the stresses in the X direction, the Y direction and the Z direction to obtain final output parameters, wherein the purpose is to optimize the pipeline stress to be smaller than an enterprise pipeline stress standard threshold value.
The method comprises the steps of establishing a pipeline noise optimization target, taking the pipeline vibration speed in vibration simulation as a core, establishing a corresponding relation between the vibration speed and vibration noise, indirectly reflecting the pipeline vibration noise level, and optimizing the pipeline noise to be smaller than a standard threshold of enterprise pipeline noise.
The pipeline cost optimization target is established by taking the overall quality of the pipeline as a core, the pipeline cost is different in each enterprise and cannot be standardized and quantized, so the cost is optimized as far as possible after pipeline vibration and pipeline noise are smaller than the enterprise standard threshold.
In step 106, the specific implementation manner for automatically analyzing the sensitivity of the pipeline parameter to the simulation result in the value range of the pipeline parameter includes: in the value range of the pipeline parameters, optimizing software can be adopted to automatically analyze the sensitivity of the pipeline parameters to the simulation result; that is, the parameters which have the largest influence on the simulation result are found by the optimization software.
In step 107, the optimization algorithm may adopt an MOGA multi-objective genetic algorithm and/or a multi-objective adaptive algorithm and/or a response surface optimization algorithm, the optimization process is to continuously drive the pipeline parameterized three-dimensional model to change through design parameters, update simulation, and continuously iterate calculation through the optimization algorithm to find an optimal scheme within a parameter value range.
In conclusion, the method can automatically search for the optimal design scheme in the pipeline design based on the actual load of the operation of the variable frequency air conditioner, simultaneously realize the optimization of pipeline vibration, noise and cost, integrate the pipeline design specification, detect the pipeline parameters in real time when the pipeline is modeled or the model is updated, correct the pipeline parameters which do not meet the pipeline design specification, ensure that the pipeline with the automatically optimized parameters meets the actual use requirement, and improve the practicability of the method.
Claims (9)
1. The automatic optimization design method of the compressor pipeline of the inverter air conditioner is characterized by comprising the following steps of:
step (1), obtaining vibration loads of the variable frequency air conditioner at various frequency points;
step (2), a pipeline parameterized three-dimensional design system is obtained through customized development of professional software, the pipeline parameterized three-dimensional design system can extract and manage pipeline design parameters, pipeline design specifications are integrated into the system, the pipeline parameters can be detected in real time when a pipeline is modeled or a model is updated, and pipeline parameters which do not meet the pipeline design specifications are corrected;
step (3), completing pipeline parameterization modeling by utilizing a pipeline parameterization three-dimensional design system to obtain a pipeline parameterization three-dimensional model;
step (4), introducing the pipeline parameterized three-dimensional model into a finite element vibration simulation module to establish a pipeline finite element simulation model, and then loading vibration loads of the variable frequency air conditioner at various frequency points onto the pipeline finite element simulation model for simulation;
step (5), establishing an optimization target in a simulation result;
step (6), setting the value range of each pipeline parameter, automatically analyzing the sensitivity of the pipeline parameter to the simulation result in the value range of the pipeline parameter, enabling the sensitivity to react with the sensitivity value, and determining the pipeline parameter with the sensitivity value higher than a set standard threshold value as a pipeline optimization key parameter;
and (7) automatically optimizing the parameters of the pipeline optimization key parameters by adopting an optimization algorithm to obtain optimal parameters, returning the optimal parameters to the pipeline parameterization three-dimensional model, automatically updating the simulation result, and outputting the updated simulation scheme.
2. The method for automatically and optimally designing the compressor pipeline of the inverter air conditioner according to claim 1, wherein in the step (1), the obtaining of the vibration load of each frequency point of the inverter air conditioner comprises the following steps:
A. obtaining the suction pressure and the exhaust pressure of the variable frequency air conditioner at each frequency point through a pressure test;
B. performing a compressor vibration test through the obtained suction and discharge pressure to obtain the suction and discharge vibration displacement of the compressor;
C. and calculating the vibration load of the compressor according to the vibration displacement.
3. The method for automatically and optimally designing the pipeline of the inverter air conditioner compressor according to claim 1, wherein the pipeline design specification comprises: the pipeline is bent and processed normatively, the minimum distance between pipeline and the pipeline is normatively, the minimum distance between pipeline and compressor, sheet metal component is normatively, the minimum straight line segment length of pipeline bending interlude is normatively, the minimum straight line segment length of pipeline bending beginning segment and ending segment is normatively.
4. The method for automatically and optimally designing the pipeline of the inverter air conditioner compressor according to claim 1, wherein the design parameters comprise: the direction, height and radius of each section of pipeline, the spatial position parameter of the four-way valve, the bending radius parameter of the pipeline, the wall thickness parameter of the pipeline, the structural parameter of the rubber foot, the material parameter and the parameter constraint of the pipe orifice at a special position.
5. The method for automatically and optimally designing the compressor pipeline of the inverter air conditioner as claimed in claim 4, wherein the special position pipe orifice comprises the following components: the air conditioner comprises a suction and exhaust pipe orifice connected with a compressor, a pipe orifice connected with a four-way valve and a pipe orifice connected with a condenser.
6. The method for automatically optimally designing the pipelines of the inverter air conditioner compressor according to claim 1, wherein in the step (5), the establishing of the optimization target comprises the following steps: establishing a pipeline vibration optimization objective, establishing a pipeline noise optimization objective and establishing a pipeline cost optimization objective.
7. The method according to claim 6, wherein the pipeline vibration optimization target is established by taking pipeline stress as a core, dispersing the working frequency range of the compressor into N frequency sections according to different frequency point stresses of the inverter compressor, selecting the maximum stress of a four-way valve pipeline assembly in each frequency section, and performing vector summation on the stresses in X, Y and Z directions to obtain a target output parameter, wherein the predetermined optimization requirement corresponding to the pipeline vibration optimization target is to optimize the pipeline stress to be less than an enterprise pipeline stress standard threshold value.
8. The method for automatically optimizing and designing the pipeline of the compressor of the inverter air conditioner according to claim 6, wherein the establishment of the pipeline noise optimization target takes the vibration speed of the pipeline in vibration simulation as a core, the corresponding relationship between the vibration speed and the vibration noise is established, the level of the vibration noise of the pipeline is indirectly reflected, and the predetermined optimization requirement corresponding to the pipeline noise optimization target is to optimize the pipeline noise to be less than a standard threshold value of the noise of the enterprise pipeline; the objective of establishing the cost optimization of the pipeline is centered on the overall quality of the pipeline.
9. The method for automatically optimally designing the pipeline of the inverter air conditioner compressor as claimed in claim 1, wherein in the step (7), the optimization algorithm is MOGA multi-objective genetic algorithm and/or multi-objective adaptive algorithm and/or response surface optimization algorithm.
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