CN117350099B - Finite element analysis-based respirator noise reduction structure optimization method - Google Patents
Finite element analysis-based respirator noise reduction structure optimization method Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D29/00—Details, component parts, or accessories
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- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0057—Pumps therefor
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- A61M2205/00—General characteristics of the apparatus
- A61M2205/42—Reducing noise
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Abstract
The invention relates to a ventilator noise reduction structure optimization based on finite elements, and relates to the technical field of ventilators. The embodiment of the invention has the advantages that the noise elimination structure can be set in a targeted manner aiming at noises with different frequencies by analyzing the noise of the simulated fan and the channel noise through the finite element, setting the resistive noise elimination cover of the fan based on the noise of the simulated fan, setting the thickness of the channel resistive wall of the air inlet channel based on the noise of the simulated channel and setting the position of the channel resistive section of the air inlet channel based on the noise of the simulated channel, and the effect of quantitatively observing the optimized noise elimination structure through the finite element analysis can be achieved, so that the effect of effectively and quantitatively optimizing the noise elimination structure of the respirator is achieved.
Description
Technical Field
The invention relates to the technical field of respirators, in particular to a method for optimizing a noise reduction structure of a respirator based on finite elements.
Background
The breathing machine is used as an effective means capable of replacing autonomous ventilation function artificially, is widely used for respiratory failure caused by various reasons, anesthesia respiratory management during major surgery, respiratory support treatment and emergency resuscitation, and occupies a very important position in the field of modern medicine. The breathing machine is a vital medical device which can prevent and treat respiratory failure, reduce complications, save and prolong the life of patients.
When a patient uses the breathing machine, the patient usually needs to sleep with the breathing machine, but the existing breathing machine usually has the problems that the noise is too large, the patient is difficult to sleep and the rest of the patient is influenced when the breathing machine is used; at present, noise sources of the breathing machine mainly comprise fan noise and air inlet cabin noise, and although measures aiming at vibration reduction and noise reduction of the fan and noise generation caused by friction of the air inlet cabin exist at present, effective and quantitative noise reduction of the breathing machine is still difficult.
Disclosure of Invention
The embodiment of the invention provides a finite element-based respirator noise reduction structure optimization method, which can solve the problem that the noise of a respirator is difficult to effectively and quantitatively reduce by the existing measures of reducing the noise generated by friction of an air inlet cabin aiming at the vibration and the noise reduction of a fan.
In a first aspect, an embodiment of the present invention provides a method for optimizing a noise reduction structure of a ventilator based on finite elements, including:
Detecting a fan noise spectrum of a ventilator fan and a channel noise spectrum of an air inlet channel of the ventilator;
Establishing a finite element analysis model of the breathing machine, inputting simulated fan noise according to the fan noise spectrum, and inputting simulated channel noise according to the channel noise spectrum;
setting a resistive muffler cover of the fan based on the simulated fan noise;
separating an air inlet cabin of the ventilator based on sound attenuation characteristics to extend the air inlet channel;
Setting a thickness of a channel resistive wall of the air intake channel based on the simulated channel noise;
setting the position of a channel resistance section of the air inlet channel based on the analog channel noise;
and analyzing the optimized noise spectrum of the respirator based on the finite element analysis model until a preset condition is met.
In one embodiment, the resistive muffler cover for setting a fan based on the simulated fan noise includes: comparing the noise level of the fan before and after the resistive muffler cover is set through finite element analysis; and setting a damping device of the fan, and setting noise levels of the fan before and after the damping device through finite element analysis.
In one embodiment, the separating the air intake compartment of the ventilator based on the sound attenuation characteristics to extend the air intake passage includes: a plurality of partition plates are arranged along the longitudinal direction of the air inlet cabin, wherein the length of each partition plate is smaller than the width of the air inlet cabin, and the air inlet cabin is partitioned into a serpentine air inlet channel by the plurality of partition plates; and comparing and analyzing the sound attenuation quantity of the air inlet channel when the lengths of the air inlet channels are different.
In one embodiment, the separating the air intake compartment of the ventilator based on the sound attenuation characteristics to extend the air intake passage further comprises: the width of the air inlet cabin is adjusted based on the center frequency of the analog channel noise so as to adjust the length of the air inlet channel, and the phase difference between sound source sound waves in the air inlet channel and reflected sound waves reflected by the side wall of the air inlet channel is 180 degrees.
In one embodiment, the air inlet channel comprises a first air channel, a second air channel and a third air channel, the channel resistive walls comprise a first resistive wall, a second resistive wall and a third resistive wall, wherein the first resistive wall is installed inside the first air channel, the second resistive wall is installed inside the second air channel and the third resistive wall is installed inside the third air channel; the thickness of the channel resistive wall of the air intake channel is set based on the analog channel noise. Comprising the following steps: analyzing the frequency spectrum of the analog channel noise to obtain a first noise frequency band, a second noise frequency band and a third noise frequency band; the thickness of the first resistive wall of the first air duct is set based on the first noise frequency band, the thickness of the second resistive wall of the second air duct is set based on the second noise frequency band, and the thickness of the third resistive wall of the third air duct is set based on the third noise frequency band.
In one embodiment, the setting the position of the channel resistance section of the air intake channel based on the analog channel noise includes: and adjusting the position of the channel resistance section based on the center frequency of the analog channel noise so that the sound source sound wave in the air inlet channel is 180 degrees different from the reflected sound wave reflected by the channel resistance section in phase.
In one embodiment, the channel resistance section is located in the third air duct, and a preset distance is reserved between the channel resistance section and two side walls of the third air duct; wherein the channel resistance section is provided with a sound attenuation hole.
In one embodiment, the setting the position of the channel resistance section of the air intake channel based on the channel noise spectrum further includes: and arranging two layers of the channel resistance sections, wherein a preset interval is reserved between the two layers of the channel resistance sections, so that the phase difference between an incident sound wave and a reflected sound wave between the two layers of the channel resistance sections is 180 degrees.
In one embodiment, the method for optimizing the noise reduction structure of the ventilator based on the finite element further comprises: applying an airflow field to the finite element analysis model to simulate operation of the fan; and measuring the inlet pressure of the air inlet cabin and the outlet pressure of the air inlet cabin, and adjusting the inlet area of the air inlet cabin and/or the area of the air inlet cabin so that the pressure ratio of the inlet pressure to the outlet pressure meets the preset requirement.
In one embodiment, the method for optimizing the noise reduction structure of the ventilator based on the finite element further comprises: detecting whether turbulence phenomenon occurs in the air inlet channel; a guide plate is arranged in the air inlet channel, and the length of the guide plate is adjusted; and detecting whether the turbulent vibration phenomenon exists after the guide plate is arranged.
In a second aspect, an embodiment of the present invention provides a ventilator noise reduction structure optimization device based on finite elements, including:
The noise detection module is used for detecting a fan noise spectrum of a fan of the breathing machine and a channel noise spectrum of an air inlet channel of the breathing machine;
The work simulation module is used for establishing a finite element analysis model of the breathing machine, inputting simulated fan noise according to the fan noise spectrum and inputting simulated channel noise according to the channel noise spectrum;
The structure optimization module is used for setting a resistive noise elimination cover of the fan based on the simulated fan noise; separating an air inlet cabin of the ventilator based on sound attenuation characteristics to extend the air inlet channel; setting a thickness of a channel resistive wall of the air intake channel based on the simulated channel noise; setting the position of a channel resistance section of the air inlet channel based on the analog channel noise; and
And the effect judging module is used for analyzing the optimized noise spectrum of the respirator based on the finite element analysis model until the optimized noise spectrum meets the preset condition.
Compared with the prior art, the embodiment of the invention has the advantages that the noise elimination structure can be set in a targeted manner aiming at noises with different frequencies by analyzing the noise of the simulated fan and the channel noise and setting the resistive noise elimination cover of the fan based on the noise of the simulated fan, the thickness of the channel resistive wall of the air inlet channel based on the noise of the simulated channel and the position of the channel resistive section of the air inlet channel based on the noise of the simulated channel, and the optimized effect of the noise elimination structure can be quantitatively observed through finite element analysis, so that the effect of effectively and quantitatively optimizing the noise elimination structure of the respirator is achieved.
Drawings
The invention will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for optimizing a noise reduction structure of a ventilator based on finite elements according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a ventilator according to an embodiment of the present invention;
FIG. 3 is a schematic view of a ventilator inlet compartment according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a finite element based ventilator noise reduction structure optimization apparatus according to an embodiment of the present invention;
reference numerals:
10. An air inlet cabin; 110. a first air duct; 1101. an inlet; 120. a second air duct; 1201. a deflector; 130. a third air duct; 1301. a channel resistance segment;
20. a fan core cabin;
30. and (5) an air outlet cabin.
Detailed Description
The invention will be further described with reference to the accompanying drawings.
In modern clinical medicine, a respirator is used as an effective means capable of replacing autonomous ventilation by manpower, is widely used for respiratory failure caused by various reasons, anesthesia respiratory management during major surgery, respiratory support treatment and emergency resuscitation, and occupies a very important position in the field of modern medicine. The breathing machine is a vital medical device which can prevent and treat respiratory failure, reduce complications, save and prolong the life of patients.
When a patient uses the breathing machine, noise can greatly influence comfort level of the patient. When using a ventilator, noise comes mainly from three aspects: 1. noise inherent in fan operation; 2. fan operation noise transmitted from the air inlet pipeline; 3. pipeline noise generated by friction between air in an air inlet pipeline and the pipeline is usually adopted at present, an earplug is worn during sleeping or a low-noise cpap respirator is replaced, and meanwhile, the structure of the respirator is improved, so that the method for reducing the noise of the respirator is realized.
In a first aspect, as shown in fig. 1 and fig. 2, in view of the above technical problem, this embodiment provides a method for optimizing a noise reduction structure of a ventilator based on finite elements, including:
s101, performing S101; detecting a fan noise spectrum of a ventilator fan and a channel noise spectrum of an air inlet channel of the ventilator;
It should be noted that, to detect the noise reduction performance of the ventilator, it is necessary to first know the current noise spectrum of the ventilator, and the noise of the ventilator mainly comes from the noise generated during the operation of the blower and the noise generated in the air intake duct, so that the blower noise spectrum of the ventilator and the channel noise spectrum of the air intake channel of the ventilator need to be measured first.
It should be noted that, as shown in fig. 3, the ventilator generally includes an air intake cabin 10, a fan core cabin 20 and an air outlet cabin 30, the fan core cabin 20 is provided with a fan, the air intake cabin 10 is connected with the fan core cabin 20, the fan core cabin 20 is connected with the air outlet cabin 30, and when the ventilator works, air is introduced into the air intake cabin 10 from an inlet 1101 of the air intake cabin 10 under the action of the fan, and is blown to a mask through the air intake channel, the fan and the air outlet cabin 30 in sequence for patients to use.
S102, performing S102; establishing a finite element analysis model of the breathing machine, inputting simulated fan noise according to the fan noise spectrum, and inputting simulated channel noise according to the channel noise spectrum;
It should be noted that, in order to modify the structure of the breathing machine conveniently, measure whether the structure of the breathing machine after optimization plays a role in reducing noise, and specifically the noise reduction amount or the noise reduction amount, it is generally necessary to build a finite element analysis model of the breathing machine, where the finite element analysis model may be modeled by three-dimensional modeling software, and may also be modeled in finite element analysis software.
It should be noted that, the fan noise spectrum includes the distribution of noise frequencies generated when the fan works, that is, includes the proportion of noise with different frequencies, for example, the proportion is 50% at high frequency of 1000 hz; the intermediate frequency 300hz accounts for 20 percent, and the like, and the channel noise spectrum comprises the distribution condition of noise frequencies generated in an air inlet channel when the breathing machine works, namely the proportion of noise with different frequencies.
When the fan noise is input according to the fan noise spectrum, the sound pressure levels of the noise with different frequencies need to be input according to the fan noise spectrum, namely, the noise spectrum of the analog fan noise is the same as that of the fan noise spectrum, and the noise spectrum of the analog channel noise is the same as that of the channel noise spectrum, so that the simulation of the working state of the real breathing machine is realized.
S103, performing operation; setting a resistive muffler cover of the fan based on the simulated fan noise;
It should be noted that, the resistive muffler cover is generally disposed in the fan core cover, so as to reduce noise generated during operation of the fan, and the resistive muffler cover is generally used for absorbing low-frequency noise and medium-frequency noise when the motor is in operation, so that the resistive muffler cover may be disposed in the fan core cover to perform noise elimination.
In some embodiments, the resistive muffler cover for a fan based on the simulated fan noise comprises: comparing the noise level of the fan before and after the resistive muffler cover is set through finite element analysis; and setting a damping device of the fan, and setting noise levels of the fan before and after the damping device through finite element analysis.
It should be noted that, before and after setting up the resistive muffler cover, measure the noise level of breathing machine, the noise elimination effect that the resistive muffler cover played can be abundant, simultaneously, can increase gradually the thickness of resistive muffler cover to measure the noise elimination effect that the resistive muffler cover played after increasing the thickness of resistive muffler cover at every turn, the noise elimination effect includes the sound attenuation volume, and corresponding noise frequency spectrum, can fully solve through the analysis the noise frequency spectrum after installing the resistive muffler cover noise frequency distribution that the resistive muffler cover was eliminated, so as to provide reference information for the setting of the noise elimination structure of other subsequent positions.
It should be noted that, generally, increasing the thickness of the resistive muffler cover only increases the amount of sound absorption and widens the range of sound absorption frequency to a certain extent, but does not increase the thickness of the resistive muffler cover infinitely, and when the amount of sound absorption to be increased is smaller than the preset amount of sound absorption after increasing the thickness of the resistive muffler cover, it is considered that it is not economical to increase the amount of sound absorption of the ventilator by increasing the thickness of the resistive muffler cover, for example, increasing the thickness of the resistive muffler cover by 1cm, and the amount of sound absorption to be increased by less than 1db.
It should be noted that, the shape of the resistive muffler cover is generally the same as the shape of the fan core 20 and is fixed inside the fan core 20, and the resistive muffler cover is made of sound-absorbing cotton.
It should be noted that, fan noise generated by the fan can be reduced by reducing vibration of the fan, so that fan noise levels before and after the damping device can be set through finite element analysis, and corresponding damping devices, such as a rubber damping device, a spring damping device and the like, are selected accordingly.
S104, performing S104; separating the inlet compartment 10 of the ventilator based on sound attenuation characteristics to extend the inlet air passage;
It should be noted that, according to the attenuation characteristic of the sound, that is, the sound gradually decreases with the increase of the propagation distance, the effect of reducing the noise of the analog channel can be achieved by separating the air intake compartment 10.
In some embodiments, the separating the air intake compartment 10 of the ventilator based on sound attenuation characteristics to extend the air intake passage includes: a plurality of partition plates are arranged along the longitudinal direction of the air inlet cabin 10, wherein the length of the partition plates is smaller than the width of the air inlet cabin 10, and the plurality of partition plates divide the air inlet cabin 10 into a serpentine air inlet channel; and comparing and analyzing the sound attenuation quantity of the air inlet channel when the lengths of the air inlet channels are different.
On the other hand, in order to ensure the air supply amount of the ventilator, the air inlet channel cannot be infinitely extended, only under the limited volume of the air inlet chamber 10, the air inlet chamber 10 is divided to form and extend the air inlet channel, as shown in fig. 2, the air inlet chamber 10 is generally rectangular, so that a plurality of partition boards can be arranged at intervals in the longitudinal direction of the air inlet chamber 10, wherein two opposite sides of two adjacent partition boards are respectively connected with the side wall of the air inlet chamber 10, that is, the left end of the upper partition board is connected with the left side wall of the air inlet chamber 10, and the right end of the lower partition board is connected with the right side wall of the air inlet chamber 10, so that the air inlet chamber 10 is divided into the serpentine air inlet channel.
It should be noted that, according to the marginal phenomenon, generally, after the length of the air intake channel is increased, when the generated noise reduction amount is lower than the preset noise reduction amount, the noise reduction amount of the breathing machine is stopped from being increased by setting the partition plate, and the frequency spectrum of the analog channel noise is recorded, so as to find the noise frequency range which is not eliminated in the channel noise.
In some embodiments, the separating the air intake compartment 10 of the ventilator based on sound attenuation characteristics to extend the air intake passage further comprises: the width of the air inlet cabin 10 is adjusted based on the center frequency of the analog channel noise to adjust the length of the air inlet channel, so that the phase difference between the sound source sound wave in the air inlet channel and the reflected sound wave reflected by the side wall of the air inlet channel is 180 degrees.
It should be noted that, in this embodiment, the center frequency refers to one or several noise frequency bands with the highest sound pressure level in the noise spectrum, and the width of the air intake cabin 10 is limited by the overall assembly condition of the breathing machine, so that the air intake cabin 10 cannot be deformed in a larger size, but the width of the air intake cabin 10 can be adjusted in a certain range, and the width of the air intake cabin 10 can be adjusted to make the phase difference between the sound source sound wave in the air intake channel and the reflected sound wave reflected by the side wall of the air intake channel 180 ° so as to make the sound source sound wave in the air intake channel offset the reflected sound wave.
It should be noted that, the width of the air inlet channel may be adjusted, so that when the sound source sound wave in the air inlet channel turns in the air inlet channel, the phase difference between the reflected sound wave reflected by the separation plate and the noise of a certain frequency band of the sound source sound wave is 180 degrees, so as to further reduce the noise in the air inlet channel.
S105, performing S105; setting a thickness of a channel resistive wall of the air intake channel based on the simulated channel noise;
It should be noted that, the channel resistive wall is generally disposed at the inner side of the air intake channel, and the thickness of the channel resistive wall is set by analyzing the frequency spectrum of the noise after the mutual cancellation, because the noise cancellation effect of different channel resistive walls is better for the noise of the corresponding frequency, and the noise cancellation effect of the noise of other frequencies is worse.
In some embodiments, the air intake channel comprises a first air channel 110, a second air channel 120, and a third air channel 130, the channel resistive walls comprise a first resistive wall, a second resistive wall, and a third resistive wall, wherein the first resistive wall is mounted inside the first air channel 110, the second resistive wall is mounted inside the second air channel 120, and the third resistive wall is mounted inside the third air channel 130; the thickness of the channel resistive wall of the air intake channel is set based on the analog channel noise. Comprising the following steps: analyzing the frequency spectrum of the analog channel noise to obtain a first noise frequency band, a second noise frequency band and a third noise frequency band; the thickness of the first resistive wall of the first air duct 110 is set based on the first noise band, the thickness of the second resistive wall of the second air duct 120 is set based on the second noise band, and the thickness of the third resistive wall of the third air duct 130 is set based on the third noise band.
It should be noted that, as shown in fig. 3, the air intake channel includes a first air channel 110, a second air channel 120 and a third air channel 130, and the noise elimination effect of the resistive noise elimination on the middle-low frequency noise is better, so that the frequency spectrum of the analog channel noise can be analyzed to obtain a first noise frequency band, a second noise frequency band and a third noise frequency band; by arranging the first resistive wall in the first air duct 110, the second resistive wall in the second air duct 120, and the third resistive wall in the third air duct 130, targeted noise elimination can be performed for different frequency bands/frequencies of the analog channel noise, so that materials can be more reasonably utilized.
It should be noted that the materials of the first, second and third resistive walls are sound-absorbing cotton. S106, performing S106; setting the position of a channel resistance section 1301 of the air intake channel based on the analog channel noise;
In some embodiments, the setting the position of the channel resistance section 1301 of the air intake channel based on the analog channel noise includes: the position of the channel resistance section 1301 is adjusted based on the center frequency of the analog channel noise such that the sound source sound wave in the intake channel is 180 ° out of phase with the emitted sound wave reflected by the channel resistance section 1301.
In some embodiments, the channel resistance section 1301 is located in the third air duct 130, and a predetermined distance is provided between the channel resistance section 1301 and two side walls of the third air duct; wherein the channel resistance section 1301 has a sound damping hole therein.
It should be noted that, the channel resistance section 1301 may be an orifice plate or a plate with polygonal holes (such as a hexagon), and the resistance section can generate vibration under the driving of sound source sound waves, consume the energy of the sound source sound waves, and reduce the noise level of the sound source sound waves; on the other hand, after the sound source sound waves collide with the channel resistance section 1301, part of the sound source sound waves are reflected, and by canceling the reflected sound waves reflected by the channel resistance section 1301 with the sound source sound waves, noise can be further reduced, and the distance between the channel resistance section and the two side walls of the third air duct 130 is not less than 4 times the thickness of the channel resistance section.
In some embodiments, the setting the position of the channel resistance section 1301 of the air intake channel based on the channel noise spectrum further includes: two layers of the channel resistance sections 1301 are provided, and a preset interval is arranged between the two layers of the channel resistance sections 1301, so that the incident sound wave and the reflected sound wave between the two layers of the channel resistance sections 1301 are 180 degrees out of phase.
It should be noted that, the sound-deadening holes on the two layers of the channel-resistant sections 1301 are staggered with each other, so that when the sound source sound waves are transmitted into the two channel-resistant sections 1301, repeated reflection and interference can occur between the two channel-resistant sections 1301, so as to reduce the noise of the sound source sound waves.
S107; and analyzing the optimized noise spectrum of the respirator based on the finite element analysis model until a preset condition is met.
It should be noted that, the noise level born by a person during sleeping should not exceed 55db, so the noise is usually required to be lower than 55db after the noise reduction structure of the ventilator is optimized, and the preset condition is 55db, and the noise of the ventilator can be reduced as much as possible after balancing the cost and the effect according to the specific situation of the ventilator.
In some embodiments, the ventilator noise reduction structure optimization method based on finite element analysis further comprises: applying an airflow field to the finite element analysis model to simulate operation of the fan; the inlet 1101 pressure of the air intake compartment 10 and the outlet pressure of the air intake compartment 10 are measured, and the inlet 1101 area of the air intake compartment 10 and/or the area of the air intake compartment 10 is adjusted such that the pressure ratio of the inlet 1101 pressure to the outlet pressure meets a preset requirement.
It should be noted that, when the ventilator is used, it is necessary to ensure that the pressure ratio between the inlet 1101 of the air intake compartment 10 and the outlet pressure of the air intake compartment 10 is within a certain range, so that the air for the patient can be provided stably, and if the pressure ratio is too low, the air amount provided may be insufficient; if the pressure ratio is too high, the provided air quantity is too much, the pressure is too large, and the patient is easy to breathe unsmoothly; the pressure ratio is usually 1.5 to 3, and the specific numerical value of the pressure ratio is not particularly limited in the present application.
If the area of the inlet 1101 of the air intake compartment 10 is a, the area of the air intake compartment 10 is not smaller than 3A, in principle, the larger the area of the air intake compartment is, the better, but in a limited space, the critical point of the air intake compartment is the best not smaller than 3 times of a, so that the air volume and the pressure are ensured while the noise is effectively reduced.
In some embodiments, the ventilator noise reduction structure optimization method based on finite element analysis further comprises: detecting whether turbulence phenomenon occurs in the air inlet channel; a deflector 1201 is arranged in the air inlet channel, and the length of the deflector 1201 is adjusted; it is detected whether or not a turbulent vibration phenomenon exists after the baffle 1201 is provided.
It should be noted that, in order to ensure the safety of the use of the ventilator, an airflow field should be applied to the finite element analysis model to detect whether turbulence occurs in the air inlet cabin 10, if turbulence occurs, a flow guide plate 1201 is disposed in the air inlet channel to eliminate turbulence, and when the length of the flow guide plate 1201 is 1.1 to 1.3 times the width of the air channel, the turbulence disappears, and when the value of the turbulence is greater than or less than the value, the turbulence will occur.
In summary, compared with the prior art, the embodiment of the invention has the advantages that the noise elimination structure can be set in a targeted manner for noises of different frequencies by analyzing the noise of the simulated fan and the channel noise, setting the resistive noise elimination cover of the fan based on the noise of the simulated fan, setting the thickness of the channel resistive wall of the air inlet channel based on the noise of the simulated channel, and setting the position of the channel resistive section 1301 of the air inlet channel based on the noise of the simulated channel, and the optimized effect of the noise elimination structure can be observed quantitatively through finite element analysis, so that the effect of effectively and quantitatively optimizing the noise elimination structure of the breathing machine is achieved.
In a second aspect, as shown in fig. 4, the present embodiment provides a ventilator noise reduction structure optimization device based on finite elements, including:
The noise detection module 210 is configured to detect a fan noise spectrum of a fan of the ventilator and a channel noise spectrum of an air intake channel of the ventilator;
The work simulation module 220 is configured to establish a finite element analysis model of the ventilator, and input simulated fan noise according to the fan noise spectrum, and input simulated channel noise according to the channel noise spectrum;
A structural optimization module 230, configured to set a resistive muffler cover of the fan based on the simulated fan noise; separating the inlet compartment 10 of the ventilator based on sound attenuation characteristics to extend the inlet air passage; setting a thickness of a channel resistive wall of the air intake channel based on the simulated channel noise; setting the position of a channel resistance section 1301 of the air intake channel based on the analog channel noise; and
And the effect judging module 240 is configured to analyze the optimized noise spectrum of the ventilator based on the finite element analysis model until a preset condition is satisfied.
It is to be understood that in the description of the present invention, the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplify the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, features defining "first", "second" may include one or more such features, either explicitly or implicitly. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more. In the description of the invention, a first feature "above" or "below" a second feature may include both the first and second features being in direct contact, and may also include the first and second features not being in direct contact but being in contact with each other by another feature therebetween.
In the description of the invention, a first feature being "above," "over" and "on" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no structural conflict. The present invention is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.
Claims (10)
1. The method for optimizing the noise reduction structure of the breathing machine based on finite element analysis is characterized by comprising the following steps of:
Detecting a fan noise spectrum of a ventilator fan and a channel noise spectrum of an air inlet channel of the ventilator;
Establishing a finite element analysis model of the breathing machine, inputting simulated fan noise according to the fan noise spectrum, and inputting simulated channel noise according to the channel noise spectrum;
setting a resistive muffler cover of the fan based on the simulated fan noise;
separating an air inlet cabin of the ventilator based on sound attenuation characteristics to extend the air inlet channel;
Setting a thickness of a channel resistive wall of the air intake channel based on the simulated channel noise;
setting the position of a channel resistance section of the air inlet channel based on the analog channel noise;
and analyzing the optimized noise spectrum of the respirator based on the finite element analysis model until a preset condition is met.
2. The method for optimizing a noise reduction structure of a ventilator based on finite element analysis according to claim 1, wherein the step of setting a resistive noise elimination mask of a ventilator based on the simulated ventilator noise comprises the steps of:
comparing the noise level of the fan before and after the resistive muffler cover is set through finite element analysis;
And setting a damping device of the fan, and setting noise levels of the fan before and after the damping device through finite element analysis.
3. The method of optimizing a noise reduction structure of a ventilator based on finite element analysis of claim 1, wherein the separating the inlet air compartment of the ventilator based on acoustic attenuation characteristics to lengthen the inlet air channel comprises:
A plurality of partition plates are arranged along the longitudinal direction of the air inlet cabin, wherein the length of each partition plate is smaller than the width of the air inlet cabin, and the air inlet cabin is partitioned into a serpentine air inlet channel by the plurality of partition plates;
And comparing and analyzing the sound attenuation quantity of the air inlet channel when the lengths of the air inlet channels are different.
4. The method of optimizing a noise reduction structure of a ventilator based on finite element analysis of claim 1, wherein the separating the inlet air compartment of the ventilator based on acoustic attenuation characteristics to extend the inlet air channel further comprises:
The width of the air inlet cabin is adjusted based on the center frequency of the analog channel noise so as to adjust the length of the air inlet channel, and the phase difference between sound source sound waves in the air inlet channel and reflected sound waves reflected by the side wall of the air inlet channel is 180 degrees.
5. The method of optimizing noise reduction structure of a ventilator based on finite element analysis according to claim 1, wherein the air intake channel comprises a first air channel, a second air channel and a third air channel, the channel resistive walls comprise a first resistive wall, a second resistive wall and a third resistive wall, wherein the first resistive wall is installed inside the first air channel, the second resistive wall is installed inside the second air channel, and the third resistive wall is installed inside the third air channel;
the thickness of the channel resistive wall of the air intake channel is set based on the analog channel noise. Comprising the following steps:
Analyzing the frequency spectrum of the analog channel noise to obtain a first noise frequency band, a second noise frequency band and a third noise frequency band;
The thickness of the first resistive wall of the first air duct is set based on the first noise frequency band, the thickness of the second resistive wall of the second air duct is set based on the second noise frequency band, and the thickness of the third resistive wall of the third air duct is set based on the third noise frequency band.
6. The method for optimizing a noise reduction structure of a ventilator based on finite element analysis according to claim 5, wherein the setting the position of the channel resistance section of the intake channel based on the simulated channel noise comprises:
And adjusting the position of the channel resistance section based on the center frequency of the analog channel noise so that the sound source sound wave in the air inlet channel is 180 degrees different from the reflected sound wave reflected by the channel resistance section in phase.
7. The method for optimizing noise reduction structure of a ventilator based on finite element analysis according to claim 6, wherein the channel resistance section is located in the third air duct, and a preset distance is provided between the channel resistance section and both side walls of the third air duct;
Wherein the channel resistance section is provided with a sound attenuation hole.
8. The method of optimizing a noise reduction structure of a ventilator based on finite element analysis according to claim 6, wherein the setting the position of the channel resistance section of the air intake channel based on the channel noise spectrum further comprises:
And arranging two layers of the channel resistance sections, wherein a preset interval is reserved between the two layers of the channel resistance sections, so that the phase difference between an incident sound wave and a reflected sound wave between the two layers of the channel resistance sections is 180 degrees.
9. The method of ventilator noise reduction structure optimization based on finite element analysis of any of the claims 1-8, further comprising:
applying an airflow field to the finite element analysis model to simulate operation of the fan;
And measuring the inlet pressure of the air inlet cabin and the outlet pressure of the air inlet cabin, and adjusting the inlet area of the air inlet cabin and/or the area of the air inlet cabin so that the pressure ratio of the inlet pressure to the outlet pressure meets the preset requirement.
10. The method for optimizing a noise reduction structure of a ventilator based on finite element analysis of claim 9, further comprising:
detecting whether turbulence phenomenon occurs in the air inlet channel;
A guide plate is arranged in the air inlet channel, and the length of the guide plate is adjusted;
and detecting whether the turbulent vibration phenomenon exists after the guide plate is arranged.
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