METHOD FOR PREDICTING PHYSICAL PROPERTIES OF POLYMERS

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First Claim
1. A method for predicting physical properties of polymers comprising the steps of:
 measuring a molecular weight distribution curve of the polymer to be measured (herein, a log value of a molecular weight MW (log MW) is denoted by xaxis, and a molecular weight distribution to the log value (dwt/d log MW) is denoted by yaxis) using a gel permeation chromatography (GPC) at a temperature of 160°
C.;
dividing the section between 3.0 and 7.0 on the xaxis of the molecular weight distribution curve into four equal parts to obtain the integral value of the molecular weight distribution curve at each section; and
predicting a die swell ratio value from the integral value.
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Abstract
The present invention relates to a method for predicting the physical properties of polymers. More specifically, the present invention relates to a method for predicting the processability of polymers using a molecular weight distribution curve.
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7 Claims
 1. A method for predicting physical properties of polymers comprising the steps of:
measuring a molecular weight distribution curve of the polymer to be measured (herein, a log value of a molecular weight MW (log MW) is denoted by xaxis, and a molecular weight distribution to the log value (dwt/d log MW) is denoted by yaxis) using a gel permeation chromatography (GPC) at a temperature of 160°
C.;dividing the section between 3.0 and 7.0 on the xaxis of the molecular weight distribution curve into four equal parts to obtain the integral value of the molecular weight distribution curve at each section; and predicting a die swell ratio value from the integral value.  View Dependent Claims (2, 3, 4, 5, 6, 7)
1 Specification
This application claims the benefit of priority from Korean Patent Application No. 1020160157724 filed on Nov. 24, 2016 with the Korean Intellectual Property Office, the full disclosure of which is incorporated herein by reference.
The present invention relates to a method for predicting physical properties of polymers. More specifically, the present invention relates to a method for predicting the processability of polymers using a molecular weight distribution curve.
Polyolefin resins used for largediameter highpressure pipe tubes generally require high pressure resistance characteristic and excellent processability. The high pressure resistance characteristic is generally a physical property that can be expressed in a high density region, and this is because the higher the degree of crystallization in the polyolefin resin, the modulus increases and thus the strength to withstand high pressure increases.
However, generally, pipes has to assure a longterm pressure resistance stability for at least 50 years, but there is a disadvantage that, if the density is high, the resistance against the brittle fracture mode is deteriorated and the longterm pressure resistance characteristic is deteriorated. In addition, when the molecular weight is low or the molecular weight distribution is narrow, the large diameter pipe is difficult to process due to the occurrence of sagging phenomenon during processing. Consequently, the polyolefin resin having a high molecular weight and a very broad molecular weight distribution should be applied to solve these problems. Especially, if the molecular weight is high, extrusion load is largely generated and pipe appearance is poor, and thus a very wide molecular weight distribution is necessarily required.
Although many attempts have been conducted to improve these problems, there is a problem that the physical properties and processability of the product are not satisfied at the same time. Therefore, manufacture of a superior product having a balance between longterm stability and processability is constantly required.
On the other hand, the processability of the polyolefin resin can be evaluated by a die swell ratio. The die swell ratio requires expensive analytical instruments for measurement, and the measurement error is relatively large, which is a hurdle to the development of a new resin for highpressure pipes.
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method capable of evaluating physical properties which are associated with the processability and dimensional stability, among the physical properties of polymers, by using a molecular weight distribution curve of polymers with high reliability.
In order to achieve the above object, the present invention provides a method for predicting physical properties of polymers comprising the steps of:
measuring a molecular weight distribution curve of the polymer to be measured (herein, a log value of a molecular weight MW (log MW) is denoted by xaxis, and a molecular weight distribution to the log value (dwt/d log MW) is denoted by yaxis) using a gel permeation chromatography (GPC) at a temperature of 160° C.;
dividing the section between 3.0 and 7.0 on the xaxis of the molecular weight distribution curve into four equal parts to obtain the integral value of the molecular weight distribution curve at each section; and
predicting a die swell ratio value from the integral value.
According to the present invention, there may be provided a method capable of evaluating physical properties which are associated with the processability and dimensional stability, among the physical properties of polymers, and which require expensive analytical instruments for measurement, by using a molecular weight distribution curve of polymers with high reliability.
In the present invention, the terms such as “first”, “second”, etc. are used to describe various components, and the terms are used only for the purpose of distinguishing one component from another.
Moreover, the terminology used herein is for the purpose of describing exemplary embodiments only and is not intended to limit the present invention. Further, singular expressions “a”, “an”, and “the” used herein may include plural expressions unless the context clearly indicates otherwise. In addition, it should be understood that the meaning of the term “comprising”, “including”, “having” and the like is intended to specify the presence of stated features, numbers, steps, components or combinations thereof and does not exclude existence or addition of one or more other features, numbers, components or combinations thereof.
The invention can make various modifications and take various forms, and thus specific embodiments are illustrated and described in detail below. It should be understood, however, that the invention is not intended to be limited to any particular disclosure form, but includes all modifications, equivalents and alternatives falling within the spirit and scope of the invention.
Hereinafter, a method for predicting the physical properties of polymers according to specific embodiments of the invention will be described.
According to one embodiment of the present invention, there is provided a method for predicting physical properties of polymers comprising the steps of:
measuring a molecular weight distribution curve of the polymer to be measured (herein, a log value of a molecular weight MW (log MW) is denoted by xaxis, and a molecular weight distribution to the log value (dwt/d log MW) is denoted by yaxis) using a gel permeation chromatography (GPC) at a temperature of 160° C.;
dividing the section between 3.0 and 7.0 on the xaxis of the molecular weight distribution curve into four equal parts to obtain the integral value of the molecular weight distribution curve at each section; and
predicting a die swell ratio value from the integral value.
According to one embodiment of the present invention, the predicted value of the die swell ratio may be calculated according to the following Equation 1 using the above integral value:
Die swell ratio, PV=(−0.136)*A_{1}+(−0.1152)*A_{2}+(−0.1033)*A_{3}+(−0.181)*A_{4}+13.97 [Equation 1]
in Equation 1 above,
A_{1 }is an integral value of a molecular weight distribution curve in the section where log MW is 3.0 to 4.0, A_{2 }is an integral value of a molecular weight distribution curve in the section where log MW is 4.0 to 5.0, A_{3 }is an integral value of a molecular weight distribution curve in the section where log MW is 5.0 to 6.0, A_{4 }is an integral value of a molecular weight distribution curve in the section where log MW is 6.0 to 7.0, and
the integral value of A_{1 }to A_{4 }means a relative value when the integral value of the entire molecular weight distribution curve is 100.
In the present invention, the polymer to be measured may be a polyolefin. Also, the polyolefin may be a polymer or a copolymer obtained by polymerizing one or more monomers selected from the group consisting of ethylene, propylene, 1butene, 1pentene, 1hexene, 4methyl1pentene, 1octene, 1decene, 1dodecene, 1tetradecene, 1hexadecene, 1octadecene, and eicosene.
The polyolefin is a resin obtained by polymerizing an olefinbased monomer such as ethylene in the presence of a catalyst such as metallocene, and is used in various fields due to excellent physical properties.
The physical properties of the polyolefin can be evaluated in several respects. For example, the weight average molecular weight, the number average molecular weight, the molecular weight distribution, the melt flow rate (MFR), the melt flow rate ratio (MFRR), the density, Full Notch Creep Test (FNCT) and the like can be measured and used comprehensively for evaluating the physical characteristics such as strength, processability and stability of polymers.
Among them, a polyolefin resin used in a pressureresistant heating pipe, a largediameter highpressure pipe, or the like is required to have longterm stability under high pressure conditions. As a method of evaluating such processability, a method of measuring the die swell ratio can be mentioned.
The die swell ratio can be calculated according to the following Equation 2 by cutting the resin of the middle portion of 20 to 40 cm with scissors and measuring its weight, when the resin coming out through an extrusion die (shown in
Die Swell Ratio=Weight of Cut Resin (g)/Weight of Reference Resin (g) [Equation 2]
in Equation 2 above, the weight of the cut resin is a weight (unit: g) measured by cutting a resin (length: 20 cm) of the middle portion of 20 to 40 cm with scissors when the resin coming out through an extrusion die (outer diameter: 9 cm, inner diameter: 8.64 cm) falls by 60 cm in the vertical direction, and
the weight of the reference resin is a weight (unit: g) corresponding to the resin (length: 20 cm) when the extruded resin has no swell.
That is, referring to
However, the method of obtaining the die swell ratio according to the above method requires expensive measuring equipment which causes an increase in the development cost, and the measurement error is relatively large, which makes it difficult to evaluate and analyze the processability of polymers.
Thus, the present inventors have conduced continuous research about a method for evaluating the processability of polymer resins, and found that there is a certain correlation between the integral value for each section of the molecular weight distribution curve (GPC curve) of the polymer resin and the die swell ratio, thereby developing a method for predicting the die swell ratio from the molecular weight distribution curve with a high reliability. The present invention has been completed on the basis of such finding.
That is, it was confirmed that, through measurement of the molecular weight distribution of a polymer resin, particularly a polyolefin resin, the processability and dimensional stability could be predicted beforehand in products manufactured using the polymer resin.
In particular, the method for predicting the physical properties of polymers according to the present invention may be suitable for predicting the physical properties of the polyolefin resin used for the highpressure pipe. For example, it can be usefully used for a method for predicting a die swell ratio of a polyolefin resin having a high molecular weight and high molecular weight distribution (PDI) in which the weight average molecular weight is 100,000 to 1,000,000 g/mol, or 100,000 to 800,000 g/mol, or 100,000 to 500,000 g/mol and the molecular weight distribution is 5 to 30, or 10 to 30, or 15 to 30.
Hereinafter, a method for predicting physical properties of polymers according to an embodiment of the present invention will be described with reference to the drawings.
First, the molecular weight distribution curve (GPC curve) is obtained for the polymer to be measured at 160° C. using a gel permeation chromatography (GPC). In this case, the log value of the molecular weight MW (log MW) is denoted by xaxis, and the molecular weight distribution to the log value (dwt/d log MW) is denoted by yaxis.
In the xaxis of the molecular weight distribution curve, that is, the log value of the molecular weight (log MW), the section between 3.0 and 7.0 is divided into four equal parts to obtain the integral values of molecular weight distribution curves in each section.
In the above molecular weight distribution curve, when the log MW includes a section deviating from 3.0 to 7.0, the deviating section is excluded, and only the section between 3.0 and 7.0 is divided into four equal parts to obtain the integral value.
Meanwhile, the method for predicting the physical properties of polymers according to the present invention may have a higher reliability when the sum of the integral values (A_{1}+A_{2}+A_{3}+A_{4}) in a section where log MW is 3.0 to 7.0 is close to 100 in the molecular weight distribution curve.
Referring to
The regression analysis was performed by comparing the relative values for each section (A_{1}, A_{2}, A_{3}, A_{4}) obtained from GPC curve as described above with respect to various polymer resins, especially polyolefin resins, with the die swell ratio, and as a result, the following relational equation was derived between the integral value for each section and the die swell ratio.
Die swell ratio, PV=(−0.136)*A_{1}+(−0.1152)*A_{2}+(−0.1033)*A_{3}+(−0.181)*A_{4}+13.97 [Equation 1]
in Equation 1 above,
A_{1 }is an integral value of a molecular weight distribution curve in the section where log MW is 3.0 to 4.0 and A_{2 }is an integral value of a molecular weight distribution curve in the section where log MW is 4.0 to 5.0, A_{3 }is an integral value of a molecular weight distribution curve in the section where log MW is 5.0 to 6.0, A_{4 }is an integral value of a molecular weight distribution curve in the section where log MW is 6.0 to 7.0, and
the die swell ratio in Equation 1 is a physical property corresponding to the actual measurement value of the die swell ratio obtained by extruding an actual resin using an extrusion die and measuring the degree of expansion.
As a result of verifying the above Equation 1 for a large number of polyolefin resins prepared by various preparation methods, it was found that R^{2 }is 0.8 or more, or 0.9 or more, which is highly reliable.
From the above relational equation, the die swell ratio from the GPC curve, which is relatively easy to measure, can be obtained with high reliability, and it is expected that the cost and time required for evaluating the processability can be greatly reduced. In particular, since the die swell ratio can be predicted only by the GPC curve without additional measurement procedure for a newly developed polymer resin, it is expected that it will contribute greatly to the research and development of a new resin.
Hereinafter, the present invention will be described in more detail by way of examples. However, these examples are presented for illustrative purposes only and the scope of the invention is not limited thereto in any way.
Ten types of polyethylene resins exhibiting various molecular weight distribution curves and having a density in the range of 0.930 to 0.950 g/cm^{3 }were prepared by polymerizing ethylene according to the established method by a metallocene catalyst.
From the molecular weight distribution curve of each polyethylene, the die swell ratio of the polyethylene resin was calculated by the following Equation 1.
Die swell ratio, PV=(−0.136)*A_{1}+(−0.1152)*A_{2}+(−0.1033)*A_{3}+(−0.181)*A_{4}+13.97 [Equation 1]
in Equation 1 above,
A_{1 }is an integral value of a molecular weight distribution curve in the section where log MW is 3.0 to 4.0, A_{2 }is an integral value of a molecular weight distribution curve in the section where log MW is 4.0 to 5.0, A_{3 }is an integral value of a molecular weight distribution curve in the section where log MW is 5.0 to 6.0, A_{4 }is an integral value of a molecular weight distribution curve in the section where log MW is 6.0 to 7.0, and the integral value of A_{1 }to A_{4 }means relative values when the integral value of the entire molecular weight distribution curve is 100.
In addition, the actually measured value of the die swell ratio according to Equation 2 and the predicted value of the die swell ratio according to Equation 1 are compared, and the results are shown in Table 1 below.
Further, the relationship between the calculated value and the actually measured value of the die swell ratio is shown in
1) Molecular weight distribution curve: Continuous molecular weight distribution was measured using a gel permeation chromatographyFTIR (GPCFTIR) at a measurement temperature of 160° C., and a log value of the molecular weight MW (log MW) was denoted by xaxis, and the molecular weight distribution to the log MW (dwt/d log MW) was denoted by yaxis, to thereby draw a molecular weight distribution curve.
2) Die Swell Ratio: The die swell ratio can be calculated according to the following Equation 2 by cutting the resin of the middle portion of 20 to 40 cm with scissors and measuring its weight, when the resin coming out through an extrusion die (shown in
Die Swell Ratio=Weight of Cut Resin (g)/Weight of Reference Resin (g) [Equation 2]
in Equation 2, the weight of the cut resin is a weight (unit: g) measured by cutting a resin (length: 20 cm) of the middle portion of 20 to 40 cm with scissors when the resin coming out through an extrusion die (outer diameter: 9 cm, inner diameter: 8.64 cm) falls by 60 cm in the vertical direction, and
the weight of the reference resin is a weight (unit: g) corresponding to the resin (length: 20 cm) when the extruded resin has no swell.
As shown in Table 1 and