This patent application claims the benefit and priority of Chinese Patent Application No. 202211500049.4, filed with the China National Intellectual Property Administration on Nov. 28, 2022, the disclosure of which is incorporated by reference herein in its entirety as part of the present application.
The present disclosure relates to the technical field of detection methods, and in particular, to an ultrasonic online nondestructive measurement method for a melt density in injection molding.
Polymers have been widely used in various industries in the world, and injection molding is one of the most important processes to convert polymer raw materials into products. With wide application of products formed by injection, requirements for high consistency and quality of products promotes development of online measurement methods during injection molding.
Product quality is largely determined by a polymer melt, and a melt density may be regarded as a quality index of the polymer melt. A change in density may lead to different refractive indexes. For example, a density of a peripheral region of a polymer lens product is greater than that of a central region thereof, which leads to a change in refractive index distribution. It can be seen that density measurement is an important factor to ensure quality in other aspects of the product.
A common density measurement method includes using a pycnometer, a densimeter or a density gradient column. A hydrometer and the densimeter are based on the Archimedes principle, which requires good fluid control and cannot handle a sample less than 50 mL. More importantly, the above methods can only measure the density of the product after demolding. The change in density may be used as a feedback of dynamic control within a production batch and between batches to ensure consistency of products. An offline measurement method may lead to a large time delay in process monitoring and optimization.
As mentioned above, online density measurement is very valuable for the injection molding process. It is necessary to mount sensors to obtain process information of in-situ measurement, and in-mold sensors have been widely used in injection molding process monitoring. A pressure-specific volume-temperature (PVT) method is the most commonly used method to calculate the density of the polymer melt, and the PVT characteristics of a polymer are basic properties of a material. A specific volume V of a specific polymer in any state always satisfies a certain correspondence with a pressure P and a temperature T of the specific polymer. In-mold temperature and pressure sensors are very important for the PVT method. However, the in-mold sensors have the following shortcomings in application: (1) The cost is high. The cost of a set of pressure and temperature sensors and a data acquisition device exceeds 100,000 yuan. (2) Mold modification is complicated. Based on technical requirements of an in-mold sensor assembly drawing, mounting holes usually have a complicated structure, and there are high requirements for accuracy (with a tolerance of H7). Therefore, the mold modification is complicated and time-consuming. (3) A surface of a product may be affected. Because the sensor has to be in direct contact with the melt, the sensor may leave traces on the surface of the product, which is unacceptable for a high-precision product, especially for a polymer lens and other optical components.
An ultrasonic measurement method has the advantages of being nondestructive and easy to mount, and has been applied to online measurement of the injection molding process. Existing ultrasonic measurement methods still have the following problems: (1) The measurement of the density of the polymer melt must compensate for the influence of temperature and viscosity to obtain an accurate result. (2) Due to internal drift of a circuit, aging of piezoelectric elements, the temperature of each part of a system, and other reasons, it is difficult to determine an amplitude of an incident wave. (3) Due to the existence of multilayer media, an echo signal is reflected and transmitted for many times, so that the sensitivity is reduced.
Based on the above considerations, it is necessary to propose an ultrasonic online nondestructive measurement method for a melt density in injection molding.
Against the problems existing in existing methods, the present disclosure provides an in-situ nondestructive measurement method for a melt density with reference to time domain and frequency domain analysis of ultrasonic signals for the first time. The proposed method does not need an in-mold sensor, which can avoid modification of a mold and ensure that a product surface is not affected.
To achieve the above objective, the present disclosure adopts the following technical solutions.
An ultrasonic online nondestructive measurement method for a melt density in injection molding includes the following steps:
A method for calculating the ultrasonic propagation velocity c is:
R
u
u
(τ)=∫0t
R
u
u
(Δt)=max(Ru
where τ is a time delay, Ru
In step (4), a transfer function of the ultrasonic echo signals may be expressed as a ratio of frequency domain signal amplitude spectra:
H(ω)=U2(ω)/U1(ω),
where U(ω) is a frequency domain amplitude spectrum of an echo signal, and is obtained from a time domain signal u(t) by fast Fourier transform:
U(ω)=∫−∞+∞u(t)e−iωtdt.
Based on the law of ultrasonic propagation, the transfer function H(ω) may be calculated by using the following formula:
H(ω)=K·exp(−2mhα(ω/ωc)n−j(ϕ1(ω)−ϕ2(ω))),
where K is an ultrasonic propagation proportionality coefficient, h is a thickness of the melt in the ultrasonic propagation direction, ωc is a center frequency of the ultrasonic probe, α represents an attenuation coefficient, m is a proportionality coefficient of a unit of the attenuation coefficient converted from (Np/cm) to (dB/cm), and for the coefficient n=1 of most polymer materials, a function of a frequency ω may be obtained by calculating a logarithm on both sides of the formula:
where b=ln(K) may be regarded as an intercept, and K=eb. The intercept may be obtained by linear fitting of data. Through fitting by using the above formula, the ultrasonic propagation proportionality coefficient K may be obtained.
Preferably, the acoustic impedance of the polymer melt is obtained by solving an ultrasonic propagation proportionality coefficient, an acoustic impedance coefficient of a back mold material, and an acoustic impedance coefficient of a front mold material.
Further, preferably, based on the law of ultrasonic reflection and transmission, the coefficient K is calculated b using the following formula:
where ∥ is an operation of solving an absolute value; R0 and R1 are reflection coefficients of a front surface and a rear surface of the melt in contact with a mold material, respectively, T0 and T0′ are transmission coefficients of ultrasonic signals propagating forward and backward through the front surface of the melt in contact with the mold respectively, and Z0, Z1 and Z2 are sequentially acoustic impedance coefficients of the back mold material, a melt material and the front mold material in the ultrasonic propagation direction, where Z0 and Z2 are known. The acoustic impedance Z=Z1 of the polymer melt may be obtained by solving the following formula. When K, Z0 and Z2 are known, a cubic equation with one unknown about the acoustic impedance Z1 of the melt can be seen from the above formula, and the acoustic impedance may be calculated by solving the equation.
Preferably, the ultrasonic probe is arranged perpendicular to a flow direction of the polymer melt, and a side of the polymer melt receiving an ultrasonic signal has a plane structure perpendicular to the ultrasonic signal.
The method according to the present disclosure can be used for online measurement of densities of melts made of various polymer materials by injection molding.
The ultrasonic online nondestructive measurement method for a melt density in injection molding according to the present disclosure has the following beneficial effects.
The present disclosure is described in detail below with reference to a flowchart of the present disclosure. An ultrasonic online nondestructive measurement method for a melt density in injection molding according to the present disclosure is combined with of time domain and frequency domain signal analysis. An ultrasonic propagation velocity is calculated from time domain signal analysis, an acoustic impedance of the melt is calculated by full spectrum analysis of a frequency domain signal, and the melt density is calculated from a correlation of the ultrasonic velocity, the acoustic impedance, and the density.
The present disclosure is described in detail below with reference to the embodiments.
As shown in
where h is a thickness of the melt in an ultrasonic propagation direction, and Δt is a time difference between the reflection echoes U1 and U2, and may be calculated by using a cross-correlation method:
R
u
u
(τ)=∫0t
R
u
u
(Δt)=max(Ru
where τ is a time delay, and ttotal is a total time of echo signals.
A transfer function of ultrasonic echo signals may be expressed as a ratio of frequency domain signal amplitude spectra:
H(ω)=U2(ω)/U1(ω),
where U(ω) is a frequency domain amplitude spectrum of an echo signal, and is obtained from a time domain signal u(t) by fast Fourier transform:
U(ω)=∫−∞+∞u(t)e−iωtdt.
U1(ω) and U2(ω) may be obtained by using the above; and then H(ω) is obtained.
Based on the law of ultrasonic propagation, the transfer function H(ω) may be calculated by using the following formula:
H(ω)=K·exp(−2mhα(ω/ωc)n−j(ϕ1(ω)−ϕ2(ω))),
where h is a thickness of the melt in the ultrasonic propagation direction, ωc is a center frequency of the ultrasonic probe, α represents an attenuation coefficient, and for the coefficients n=1 of most polymer materials, a function of a frequency ω may be obtained by calculating a logarithm on both sides of the formula:
Based on the law of ultrasonic reflection and transmission, the coefficient K is calculated by using the following formula:
where R0 and R1 are reflection coefficients of a front surface and a rear surface of the melt in contact with a mold material, respectively, T0 and T0′ are transmission coefficients of ultrasonic signals propagating forward and backward through the front surface of the melt in contact with the mold respectively, and Z0, Z1 and Z2 are sequentially acoustic impedance coefficients of the back mold material, a melt material and the front mold material in the ultrasonic propagation direction, where Z0 and Z2 are known.
When K, Z0 and Z2 are known, a cubic equation with one unknown about the acoustic impedance Z1 of the melt can be seen from the above formula, and the acoustic impedance may be calculated by solving the equation.
The present disclosure is described in detail below with reference to the embodiments.
A specific implementation of the present disclosure is described with ultrasonic measurement of a melt density of a self-made slit rheological mold as an example. An injection molding machine used in this embodiment was China ONGO Z70JD, an ONGO model. A measuring system is composed of an ultrasonic measuring apparatus and a pressure-temperature measuring apparatus (so that a PVT method is used to measure the density for verification). An ultrasonic signal transmitter/receiver (CTS-8077PR, SIUI, China) is configured to transmit a signal to an ultrasonic probe (5P20, Doppler, China) and receive an ultrasonic echo passing through a polymer melt. The ultrasonic probe is mounted on a back of a mold core. A digital oscilloscope (DSOX-3014 T Keysight Technologies, USA) is configured to display and record received data for further signal processing and analysis. A pressure sensor (SPF04, Futaba, Japan) and an infrared temperature sensor (EPSSZT, Futaba, Japan) are mounted in a mold cavity, and pressure and temperature data is collected by a data acquisition card (MVS08, Futaba, Japan) and displayed on a computer.
First, an experiment was performed by using a low density polyethylene (LDPE) material, with a total data acquisition time of 4.5 seconds. There were a total of 450 sampling points. Ultrasonic echo signals at a beginning time (0.3 s, left figure) and ultrasonic echo signals at an intermediate time (1.7 s, right figure) of the forming process are shown in
Curves of a calculated ultrasonic velocity and a measured temperature and pressure in the entire process are shown in
An experiment using a polyvinyl chloride (PVC) material was also performed to test effectiveness of the proposed method in the case of using different materials. Density measurement results are shown in
Number | Date | Country | Kind |
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202211500049.4 | Nov 2022 | CN | national |