KR102594407B1 - Property prediction method for polypropylene (blending) resin - Google Patents

Abstract

The present invention relates to a method for predicting the physical properties of polypropylene (blending) resin, and more specifically, predicting the storage modulus value of polypropylene (blending) resin using the content of comonomer and the content of propylene copolymer elastomer. It is about a method for predicting physical properties.

Description

{PROPERTY PREDICTION METHOD FOR POLYPROPYLENE (BLENDING) RESIN}

The present invention relates to a method for predicting the physical properties of polypropylene (blending) resin, and more specifically, predicting the storage modulus value of polypropylene (blending) resin using the content of comonomer and the content of propylene copolymer elastomer. It is about a method for predicting physical properties.

Propylene-based resins such as polypropylene have excellent moldability and rigidity, as well as excellent regeneration and heat resistance, and are widely used in various applications such as food containers, food packaging materials, medical devices, medical containers, packaging films, and non-woven fabrics.

In particular, non-woven fabrics using propylene-based resins include medical hygiene materials such as surgical cloths, paper diapers, and sanitary products; Industrial materials such as packaging materials; Industrial materials such as oil absorbents; Household goods fields such as clothing, cleaning materials, food packaging materials, etc.; It is used in various fields.

Since flexibility is required for propylene-based resin nonwoven fabrics, random copolymers made by copolymerizing propylene with a small amount of alpha-olefin, and ethylene-propylene copolymers with excellent processability in the melt blown process or heated roll processing process, are used. do.

However, even in the case of propylene-based resin nonwoven fabric using such copolymers, etc., the flexibility is lower than that of woven fabric, so it is necessary to give the propylene-based resin nonwoven fabric a flexibility similar to that of fabric or to use it on the skin. Efforts to improve the tactile feel are continuing.

Regarding the feel of such nonwoven fabrics, methods for evaluating drapability and the feel of the fabric surface have been proposed.

Drapability is related to the drooping characteristic of fabric such as woven or non-woven fabric, and is related to the elasticity of the fiber itself and the hardness of the fiber.

As a method for evaluating the texture of the fabric surface, the Handle-O-Meter Test (INDA IST 90.3-95) is known. The Handle-o-Meter evaluation method measures the force required to push a fabric or non-woven fabric through a slot opening with a blade having approximately the same length as the opening. Specifically, it is measured by the following method. First, on a platform of the machine consisting of two thin metal plates forming a slot 0.24 inch (6.4 mm) wide, for a web with a base weight of 5 to 100 gsm (g/m ² ). Place a fabric specimen with specific dimensions. At this time, the center line (machine direction, orthogonal direction) of the fabric is arranged to cross the slot and a penetrating blade used to push the specimen into the slot, and the penetrating blade pushes the specimen into the slot. The force required to push into the slot is measured and recorded in grams of force. The test is repeated after realigning the specimen to 90 degrees, and the measured values in the machine direction (MD) and orthogonal machine direction (CD) are averaged and expressed numerically.

In other words, in the past, propylene-based resins were manufactured into products such as non-woven fabrics and then directly measured to measure the flexibility, drape properties, and feel of the non-woven fabrics. In order to evaluate these properties, propylene-based resins were used to measure the properties of non-woven fabrics. It was necessary to process resin, etc. into non-woven fabric to manufacture specimens.

This specification is intended to provide a method for predicting the physical properties of the resin and the physical properties such as touch during processing of the non-woven fabric, using the unique characteristics of the resin itself, without processing the propylene-based resin into products such as non-woven fabric. .

The present invention,

In the method for predicting the physical properties of a polypropylene (blended) resin containing at least one of the first propylene random (co)polymer and the second propylene (co)polymerized elastomer,

Measuring the storage modulus (Standard Storage Modulus, SSM) of a propylene homopolymer reference specimen;

Determining the content of comonomer (C1, wt%) in the first propylene random (co)polymer;

Calculating the content (C2, wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blending) resin; and

Comprising the step of deriving the storage modulus value (Predicted Storage Modulus, PSM) of the polypropylene (blended) resin according to Equation 1 below,

The purpose is to provide a method for predicting the physical properties of polypropylene (blending) resin. :

[Equation 1]

In Equation 1 above,

PSM is the storage modulus value of the polypropylene (blended) resin to be predicted;

C1 is the content of comonomer (wt%) in the first propylene random (co)polymer;

C2 is the content (wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blended) resin;

SSM is the storage modulus value of the propylene homopolymer reference specimen;

a1 and a2 are coefficient values for C2, where a1 is 1 or more and 2 or less, and a2 is 25 or more and 35 or less;

b1 is the intercept value for C2, and b1 is 65 or more and 85 or less.

At this time, it may be more preferable that a1 is about 1.65 or more and about 1.75 or less, and a2 is about 28 or more and about 32 or less, where a1 is about 1.70 or about 1.74, and a2 is about 28.7. Alternatively, about 30 may be most desirable.

And, separately from this, b1 may preferably be about 70 or more and about 82 or less, and most preferably about 71.1 or about 80.

According to one embodiment of the invention, the first propylene random (co)polymer is polypropylene homorandom polymer, ethylene-propylene random copolymer, butene-propylene random copolymer, pentene-propylene random copolymer, and hexene-propylene random. It may include one or more selected from the group consisting of copolymers, heptene-propylene random copolymers, and octene-propylene random copolymers.

And, according to another embodiment of the invention,

The second propylene (co)polymerized elastomer comprises isotactic polypropylene segments;

Contains at least one selected from the group consisting of propylene homo elastomer, ethylene-propylene copolymer elastomer, butene-propylene copolymer elastomer, pentene-propylene copolymer elastomer, hexene-propylene copolymer elastomer, heptene-propylene copolymer elastomer, and octene-propylene copolymer elastomer. can do.

And, the C1 may be about 0 to about 10 wt%, preferably about 0 to about 5 wt%.

And, the C2 may be about 0 to about 50 wt%, preferably about 0 to about 30 wt%.

According to one embodiment of the invention, the storage modulus value of the reference specimen and the predicted storage modulus value of the polypropylene (blended) resin are at a temperature of about 0° C. or higher and about 30° C. or lower, preferably at room temperature, that is, about It may be a storage modulus value at 25°C.

Meanwhile, according to another aspect of the invention,

Using the storage modulus value of the polypropylene (blending) resin derived according to clause 1, predict the Handle-O-Test value of the polypropylene nonwoven fabric made from the polypropylene (blending) resin. Including the steps of:

A method for predicting the physical properties of polypropylene nonwoven fabric is provided.

And, at this time, the step of predicting the handle-o-value may be performed using Equation 2 below.

[Equation 2]

In Equation 2 above, e is a natural constant,

HOTV1 is the handle-o-value,

a21 may be about 1 or more and about 1.5 or less, preferably about 1.0 or more and about 1.1 or less, and most preferably about 1.0891,

a22 may be greater than 0 and less than or equal to 0.002, preferably greater than 0 and less than or equal to about 0.0015, and most preferably less than or equal to about 0.0013;

PSM is the storage modulus value of the polypropylene (blended) resin derived in claim 1 above.

And, according to one embodiment of the invention, the method for predicting the physical properties of the polypropylene nonwoven fabric is,

It further includes measuring the phase angle (Phase Angle at glass Temperature, PAT) value at the glass transition temperature of the polypropylene (blending) resin,

It may include predicting the Handle-O-Test value of the polypropylene nonwoven fabric through the storage modulus value and the phase angle value of the polypropylene (blended) resin derived according to claim 1. there is.

Additionally, the step of predicting the handle-o-value may be preferably performed using Equation 3 below.

[Equation 3]

In Equation 3 above, e is a natural constant,

HOTV2 is the handle-o-value,

HOTV1 is the handle-o-value derived from Equation 2 above,

b21 may be about 20 or more and about 25 or less, preferably about 23 or more and about 24 or less, and most preferably about 23.507,

b22 may be less than 0, about -0.5 or more, preferably about -0.3 or more and about -0.2 or less, most preferably about -0.254,

PAT is the phase angle value at the glass transition temperature of the polypropylene (blended) resin.

In the present invention, terms such as first and second are used to describe various components, and the terms are used only for the purpose of distinguishing one component from another component.

Additionally, the terminology used herein is only used to describe exemplary embodiments and is not intended to limit the invention.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this specification, terms such as “comprise,” “comprise,” or “have” are used to describe implemented features, numbers, steps, components, or combinations thereof, and include one or more other features, numbers, or steps. , does not exclude the possibility of components, combinations or additions thereof.

Additionally, in this specification, when each layer or element is referred to as being formed “on” or “on” the respective layers or elements, it means that each layer or element is formed directly on the respective layers or elements, or other This means that layers or elements can be additionally formed between each layer, on the object, or on the substrate.

Since the present invention can be subject to various changes and can take various forms, specific embodiments will be illustrated and described in detail below. However, this does not limit the present invention to the specific disclosed form, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention.

Hereinafter, the present invention will be described in detail.

According to one aspect of the present invention,

In the method for predicting the physical properties of a polypropylene (blended) resin containing at least one of the first propylene random (co)polymer and the second propylene (co)polymerized elastomer,

Measuring the storage modulus (Standard Storage Modulus, SSM) of a propylene homopolymer reference specimen;

Determining the content of comonomer (C1, wt%) in the first propylene random (co)polymer;

Calculating the content (C2, wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blending) resin; and

Comprising the step of deriving the storage modulus value (Predicted Storage Modulus, PSM) of the polypropylene (blended) resin according to Equation 1 below,

A method for predicting the physical properties of polypropylene (blending) resin is provided.

[Equation 1]

In Equation 1 above,

PSM is the storage modulus value of the polypropylene (blended) resin to be predicted;

C1 is the content of comonomer (wt%) in the first propylene random (co)polymer;

C2 is the content (wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blended) resin;

SSM is the storage modulus value of the propylene homopolymer reference specimen;

a1 and a2 are coefficient values for C2, where a1 is 1 or more and 2 or less, and a2 is 25 or more and 35 or less;

b1 is the intercept value for C2, and b1 is 65 or more and 85 or less.

Throughout this specification, the first propylene random (co)polymer refers to

i) propylene random homopolymers, comprising only propylene repeat units derived from propylene monomers; and

ii) a propylene random copolymer, comprising each repeating unit derived from a propylene monomer and an alpha-olefin monomer other than propylene;

It is used as a concept that includes all.

And, throughout this specification, the second propylene (co)polymerized elastomer refers to

i) a propylene elastomer polymer comprising only propylene repeat units derived from propylene monomer; and

ii) a propylene elastomer copolymer comprising a propylene monomer and each repeating unit derived from an alpha-olefin monomer other than propylene;

It is used as a concept that includes all.

Therefore, in one embodiment or example of the present invention, a polypropylene (blended) resin containing at least one of the first propylene random (co)polymer and the second propylene (co)polymerized elastomer is,

i) propylene random homopolymers, comprising only propylene repeat units derived from propylene monomers;

ii) a propylene random copolymer, comprising each repeating unit derived from a propylene monomer and an alpha-olefin monomer other than propylene;

iii) a propylene elastomer polymer comprising only propylene repeat units derived from propylene monomer; and

iv) a propylene elastomer copolymer, comprising each repeating unit derived from a propylene monomer and an alpha-olefin monomer other than propylene;

It may include both a polypropylene single resin or a polypropylene blended resin containing at least one of the above (co)polymers.

The inventors of the present invention, as described above, in the polypropylene (blended) resin comprising at least one of the first propylene random (co)polymer and the second propylene (co)polymerized elastomer, this polypropylene (blended) resin The storage modulus value of

i) content of comonomer in propylene random (co)polymer (wt%); and

ii) Using the relative content (wt%) of propylene (co)polymerized elastomer,

After discovering that the storage modulus value of polypropylene (blending) resin could be predicted, the present invention was completed.

Specifically, according to one aspect of the present invention, the storage modulus value of the propylene homopolymer reference specimen, the comonomer content of the propylene random (co)polymer used to prepare the polypropylene (blending) resin, and the propylene (co)polymerized elastomer The storage modulus value of the polypropylene (blended) resin can be derived by substituting and calculating the relative contents in Equation 1 below.

[Equation 1]

In Equation 1 above,

PSM is the storage modulus value of the polypropylene (blended) resin to be predicted;

C1 is the content of comonomer (wt%) in the first propylene random (co)polymer;

C2 is the content (wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blended) resin;

SSM is the storage modulus value of the propylene homopolymer reference specimen;

a1 and a2 are coefficient values for C2, where a1 is 1 or more and 2 or less, and a2 is 25 or more and 35 or less;

b1 is the intercept value for C2, and b1 is 65 or more and 85 or less.

Here, the propylene homopolymer reference specimen refers to a propylene homopolymer prepared by the same catalyst as the first propylene random (co)polymer included in the polypropylene (blending) resin to be predicted, but containing no comonomer. It may be desirable to prepare a polymer, ie polypropylene.

That is, according to one embodiment of the present invention, it is based on the storage modulus value of the propylene homopolymer reference specimen, wherein the content (wt%) of the comonomer of the first propylene random (co)polymer and the second propylene ( The relative content (wt%) of the co-polymerized elastomer is set as an independent variable, and according to the coefficients and simple calculation equations introduced according to the characteristics of the polypropylene (blending) resin to be predicted, the target polypropylene (blending) resin is predicted. It is possible to accurately predict the storage modulus value.

More specifically, each coefficient value in Equation 1 and Equations 2 and 3 described below is obtained by measuring the actual storage modulus value for some specimens and substituting this into the function represented by each equation to determine the value of each coefficient. It can be obtained through the derivation steps, and can be used as a reference.

For example, in this polypropylene (blended) resin, a1 and a2 are coefficient values for C2, where a1 is 1 or more and 2 or less, and a2 is 25 or more and 35 or less; b1 is the intercept value for C2, and b1 is 65 or more and 85 or less.

At this time, it may be more preferable that a1 is about 1.65 or more and about 1.75 or less, and a2 is about 28 or more and about 32 or less, where a1 is about 1.70 or about 1.74, and a2 is about 28.7. Alternatively, about 30 may be most desirable.

And, separately from this, b1 may preferably be about 70 or more and about 82 or less, and most preferably about 71.1 or about 80.

However, the present invention is not necessarily limited to the range of each coefficient described above, and each coefficient may be determined differently depending on the characteristics of the polypropylene (blending) resin to be measured.

And, according to one embodiment of the invention, the first propylene random (co)polymer is polypropylene homorandom polymer, ethylene-propylene random copolymer, butene-propylene random copolymer, pentene-propylene random copolymer, hexene- It may include one or more selected from the group consisting of propylene random copolymer, heptene-propylene random copolymer, and octene-propylene random copolymer.

And, according to another embodiment of the invention,

The second propylene (co)polymerized elastomer comprises isotactic polypropylene segments;

Contains at least one selected from the group consisting of propylene homo elastomer, ethylene-propylene copolymer elastomer, butene-propylene copolymer elastomer, pentene-propylene copolymer elastomer, hexene-propylene copolymer elastomer, heptene-propylene copolymer elastomer, and octene-propylene copolymer elastomer. can do.

And, in the C1, that is, the first propylene random (co)polymer, the content of comonomers other than propylene is about 0 to about 10 wt%, preferably about 0 to about 5 wt%, The propylene random (co)polymer may be a propylene homorandom polymer or a propylene random copolymer that contains a small amount of comonomer and does not impair the physical properties of the basic propylene resin.

And, the relative content of C2, that is, the second propylene elastomer (co)polymer, is about 0 to about 50 wt%, preferably about 0 to about 30 wt%, and the second propylene elastomer (co)polymer is, Compared to the first propylene random (co)polymer, it may be contained in a relatively small amount and does not impair the physical properties of the basic propylene resin. In this case, the C2 is, the first propylene random (co)polymer and the It may be based on the total weight of the second propylene elastomer (co)polymer.

And, according to one embodiment of the invention, the storage elastic modulus value of the reference specimen and the predicted storage elastic modulus value of the polypropylene (blended) resin are at a temperature of about 0°C or higher and about 30°C or lower, preferably at room temperature, That is, it may be a storage modulus value at about 25°C, and more specifically, the storage modulus value of the reference specimen and the predicted storage modulus value of the polypropylene (blended) resin may be assumed to be measured at the same temperature. there is. Specifically, for example, if the storage elastic modulus value of the reference specimen used in Equation 1 is a room temperature storage elastic modulus value, the storage elastic modulus value of the polypropylene (blended) resin derived by Equation 1 may also be a room temperature storage elastic modulus value. there is.

Meanwhile, according to another aspect of the invention,

Using the storage modulus value of the polypropylene (blending) resin derived according to clause 1, predict the Handle-O-Test value of the polypropylene nonwoven fabric made from the polypropylene (blending) resin. Including the steps of:

A method for predicting the physical properties of polypropylene nonwoven fabric is provided.

And, at this time, the step of predicting the handle-o-value may be performed using Equation 2 below.

[Equation 2]

In Equation 2 above, e is a natural constant,

HOTV1 is the handle-o-value,

a21 may be about 1 or more and about 1.5 or less, preferably about 1.0 or more and about 1.1 or less, and most preferably about 1.0891,

a22 may be greater than 0 and less than or equal to 0.002, preferably greater than 0 and less than or equal to about 0.0015, and most preferably less than or equal to about 0.0013;

PSM is the storage modulus value of the polypropylene (blended) resin derived in claim 1 above.

However, the present invention is not necessarily limited to the range of each coefficient described above, and each coefficient may be determined differently depending on the manufacturing characteristics of the polypropylene (blending) resin to be measured.

As mentioned above, propylene-based resin nonwoven fabric is widely used as a surface material for products that come into direct contact with the human skin, such as medical products, sanitary materials, etc., so the tactile sensation felt by the skin, such as Handle-O-Meter evaluation, is used as a surface material. Efforts to quantify this have continued, but in order to measure this, it was necessary to process propylene resin, etc. into non-woven fabric and manufacture specimens.

However, according to one embodiment of the present invention, only the characteristics of the propylene-based resin used to produce the non-woven fabric, that is, the polypropylene (blended) resin of the present invention itself, can relatively accurately derive the parts related to the touch when processing the non-woven fabric. There will be.

That is, according to one embodiment of the present invention, first, the comonomer content in the propylene random (co)polymer used in the polypropylene (blending) resin and the relative content of the propylene elastomer (co)polymer, ) The storage elastic modulus value of the resin can be predicted relatively accurately, and in addition, by using the derived storage elastic modulus value of the polypropylene (blending) resin, the polypropylene nonwoven fabric made from the polypropylene (blending) resin can be predicted. The Handle-O-Test value can be predicted.

At this time, the polypropylene nonwoven fabric may be manufactured by, for example, melt blown processing.

Specifically, for example, the melt blown process may be carried out under temperature conditions of about 150 to about 250°C, preferably about 170°C or about 230°C. However, the present invention is not necessarily limited to the above process conditions.

Additionally, in the melt blown process, the length stretching ratio may be about 100 to about 10,000 times, preferably about 100 to about 1,500 times, or about 200 to about 1,200 times.

And, the stretching speed at this time may be about 1,000 to about 100,000 times/s, preferably about 1,000 to about 15,000 times/s, or about 200 to about 1,200 times/s.

And, at this time, the stretching diameter may be about 0.35 mm or less, more preferably about 0.2 to about 0.35 mm.

However, the melt blown process, etc. is only an example to explain a method for processing polypropylene (blending) resin to produce nonwoven fabric, and the present invention is not necessarily limited to the above process conditions.

And, according to one embodiment of the invention, the method for predicting the physical properties of the polypropylene nonwoven fabric is,

It further includes measuring the phase angle (Phase Angle at glass Temperature, PAT) value at the glass transition temperature of the polypropylene (blending) resin,

It may include predicting the Handle-O-Test value of the polypropylene nonwoven fabric through the storage modulus value and the phase angle value of the polypropylene (blended) resin derived according to claim 1. there is.

Additionally, the step of predicting the handle-o-value may be preferably performed using Equation 3 below.

[Equation 3]

In Equation 3 above, e is a natural constant,

HOTV2 is the handle-o-value,

HOTV1 is the handle-o-value derived from Equation 2 above,

b21 may be about 20 or more and about 25 or less, preferably about 23 or more and about 24 or less, and most preferably about 23.507,

b22 may be less than 0, about -0.5 or more, preferably about -0.3 or more and about -0.2 or less, most preferably about -0.254,

PAT is the phase angle value at the glass transition temperature of the polypropylene (blended) resin.

However, the present invention is not necessarily limited to the range of each coefficient described above, and each coefficient may be determined differently depending on the manufacturing characteristics of the polypropylene (blending) resin to be measured.

The Handle-O-Test value of a polypropylene nonwoven fabric is determined by measuring the value at the glass transition temperature of the polypropylene (blended) resin, in addition to the storage modulus value of the polypropylene (blended) resin used to manufacture the nonwoven fabric. It also appears to be related to the phase angle value.

Here, the phase angle value, phase difference value, or phase retardation value at the glass transition temperature is the inherent physical property value of the polymer measured when the polymer exhibits viscoelasticity due to the glass transition, and refers to the dynamic rotation value. It can be measured by 3 point bending geometry, Dynamic oscillatory shear test, or Dynamic mechanical analysis.

More specifically, when an object has viscoelasticity, a sinusoidal strain can be applied to the object and the resulting stress can be measured. An ideal elastic body has the same phase of stress and strain (0 degree), and an ideal viscous body A phase difference of 90 degrees occurs between stress and strain, and as in the present invention, in the case of a viscoelastic polymer at the glass transition temperature, the phase difference and phase angle values are visible from 0 to 90 degrees. do.

That is, based on this, if we explain the meaning of Equation 3 in detail, the handle-O-value derived by Equation 2 and the handle-O-value that can be derived by the phase angle value are averaged , the numerical value has been corrected, and it can be seen as improving the accuracy of prediction by simultaneously considering factors resulting from the storage modulus and factors resulting from the phase angle value.

According to one embodiment of the present invention, in a state in which a propylene-based resin, etc. is not processed into a product such as a non-woven fabric, the physical properties such as rheological properties of the resin and tactile feel during processing of the non-woven fabric are relatively improved by using the inherent characteristics of the resin itself. It can be predicted accurately.

Hereinafter, the operation and effects of the invention will be described in more detail through specific examples of the invention. However, these examples are merely presented as examples of the invention, and the scope of the invention is not determined by them.

<Example>

A polypropylene (mixed) resin having the composition shown in Table 1 below was prepared.

First, polypropylene, which serves as a reference specimen, was prepared as a random propylene polymer produced by the polymerization method disclosed in PCT International Application PCT/KR2018/007873.

In addition, the first propylene random copolymer was prepared in the same manner as the reference sample polypropylene, but 1-butene was added as a comonomer, and the content of the comonomer in each example is summarized in Table 1. It's like a bar.

As the second propylene elastomer copolymer, Exxon's Vistamaxx6202, an ethylene-propylene copolymer having a structure in which finely dispersed isotactic segment crystals are connected to the amorphous C2-C3 region, was used.

Hereinafter, in each example, a mixed resin containing a mixture of the first propylene random copolymer and the second propylene elastomer copolymer was used, and the relative content of the second propylene elastomer copolymer is summarized in Table 1.

Example Content ¹
(wt%) content ²
(wt%) molecular weight ³
(g/mol) PDI ⁴ Reference specimen 0 0 183K 2.37 Example 1 2.8 0 180K 2.25 Example 2 0.7 0 187K 2.35 Example 3 2.3 0 200K 2.19 Example 4 4 0 190K 2.27 Example 5 2.4 0 * * Example 6 2.8 10 180K 2.25 Example 7 2.8 20 180K 2.25 Example 8 0 10 194K 2.81 Example 9 0 20 194K 2.81

¹ : Content of 1-butene, a comonomer, in the first propylene random copolymer;

² : Relative content of the second propylene elastomer copolymer in the mixed resin;

³ : Weight average molecular weight value of the first propylene random copolymer;

⁴ : Molecular weight distribution value of the first propylene random copolymer;

*: A propylene random copolymer with a molecular weight of 194K and a molecular weight distribution value of 2.81 and a propylene random copolymer with a molecular weight of 190K and a molecular weight distribution value of 4.80 are mixed in a ratio of 7:3 to form a first propylene random copolymer. Used in combination

Nonwoven Manufacturing

A nonwoven fabric was manufactured by a melt blown process using polypropylene (blended) resin having the composition shown in Table 1 above.

The temperature of the melt blown process was about 235°C, and the drawn yarn was processed to have a diameter of about 14 to about 16 ㎛.

The thickness of the produced nonwoven fabric was about 100 to about 500 μm, and the density was about 15 g/m ² .

Physical property measurement

1) Measurement of room temperature storage modulus value of the first propylene random (co)polymer

For the first propylene random (co)polymer of each of the above examples, the room temperature storage elastic modulus value was measured at 25°C.

For the measurement, the 3-point banding geometry of TA's RSA G2 DMA (Dynamic Mechanical Analysis) was used, and the temperature range was -30 ℃ to 250 ℃, the temperature increase rate was 5 ℃/min, the frequency was 1 Hz, and the physical properties were measured with oscillation at 0.1% strain. proceeded.

In addition, the measurement results for the room temperature storage elastic modulus value and the room temperature storage elastic modulus value calculated by Equation 1 below were compared in Table 2, and the error rate was calculated based on the 'measurement result value'.

[Equation 1]

a1: 1.7, b1: 80, a2: 30, SSM= room temperature storage modulus value of the reference specimen, 1501MPa

Example storage modulus
(measured value, MPa) storage modulus
(PSM, MPa) error rate
(%) Reference specimen 1501 1501 0 Example 1 1266 1291 1.97 Example 2 1369 1448.5 5.81 Example 3 1301 1328.5 2.11 Example 4 1165 1201 3.09 Example 6 1287 1321 2.64 Example 6 1032 1038.6 0.64 Example 7 780 786.2 0.79 Example 8 1158 1201 3.71 Example 9 894 901 0.78

2) Handle-O-Value Measurement

For the polypropylene nonwoven fabric manufactured with polypropylene (blended) resin having the composition of each of the above examples, the handle-O-value was measured according to the INDA IST 90.3-95) standard using a handle-O test meter.

And, the measured handle-O-value and the handle-O-value calculated by Equation 2 below are compared and summarized in Table 3 below.

[Equation 2]

a21: 1.0891, a22: 0.0013

Example handle-o-value
(measurement, gf) handle-o-value
(HOTV1, gf) error rate
(%) Reference specimen 8.1 7.664901542 -5.37 Example 1 5.7 5.728488261 0.50 Example 2 7 7.126724038 1.81 Example 3 6 6.034250575 0.57 Example 4 5.1 5.056384322 -0.86 Example 5 6.13 5.971819573 -2.58 Example 6 4.3 4.096167036 -4.74 Example 7 3.2 2.928972465 -8.47 Example 8 4.8 5.189574281 8.12 Example 9 3.6 3.513636943 -2.40

2) Measurement of phase angle value of polypropylene (blending) resin

For the polypropylene (blended) resin having the composition of each of the above examples, the phase angle value at the glass transition temperature was measured.

For the measurement, the 3-point banding geometry of TA's RSA G2 DMA (Dynamic Mechanical Analysis) was used, and the temperature range was -30 ℃ to 250 ℃, the temperature increase rate was 5 ℃/min, the frequency was 1 Hz, and the physical properties were measured with oscillation at 0.1% strain. proceeded.

And, the measured handle-O-value and the handle-O-value calculated by Equation 3 below are compared and summarized in Table 4 below.

[Equation 3]

b21: 23.507, b22: -0.254

Example phase angle
(deg) handle-o-value
(measurement, gf) handle-o-value
(HOTV2, gf) error rate
(%) Reference specimen 4.29 8.1 7.906129 2.45 Example 1 5.43 5.7 5.918472 -3.69 Example 2 4.81 7 6.92791 1.04 Example 3 5.34 6 6.055326 -0.91 Example 4 5.93 5.1 5.212597 -2.16 Example 5 5.14 6.13 6.370884 -3.78 Example 6 6.78 4.3 4.200394 2.37 Example 7 8 3.2 3.081136 3.86 Example 8 5.97 4.8 5.159905 -6.98 Example 9 7.43 3.6 3.561131 1.09

Referring to Tables 1 to 4, the method for predicting the physical properties of polypropylene (blending) resin according to an embodiment of the present invention includes i) the content of comonomer in the propylene random (co)polymer (wt%); and ii) using only the relative content (wt%) of the propylene (co)polymerized elastomer, it can be confirmed that the storage modulus value of the polypropylene (blending) resin can be predicted very accurately. Specifically, the actually measured storage modulus For this value, it can be seen that the average error rate of the predicted storage modulus value is about 1.25%.

In addition, the tactile properties related to the handle-O-value of the polypropylene nonwoven fabric manufactured using this also have an average error rate of the predicted handle-O-value of about 0.83% with respect to the actually measured handle-O-value. It can be clearly seen that very accurate predictions can be made within a small margin of error.

Claims (12)

In the method for predicting the physical properties of a polypropylene (blended) resin containing at least one of the first propylene random (co)polymer and the second propylene (co)polymerized elastomer,
Measuring the storage modulus (Standard Storage Modulus, SSM) of a propylene homopolymer reference specimen;
Determining the content of comonomer (C1, wt%) in the first propylene random (co)polymer;
Calculating the content (C2, wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blending) resin; and
Comprising the step of deriving the storage modulus value (Predicted Storage Modulus, PSM) of the polypropylene (blended) resin according to Equation 1 below,
How to predict the physical properties of polypropylene (blending) resin:
[Equation 1]

In Equation 1 above,
PSM is the storage modulus value of the polypropylene (blended) resin to be predicted;
C1 is the content of comonomer (wt%) in the first propylene random (co)polymer;
C2 is the content (wt%) of the second propylene (co)polymerized elastomer relative to the total weight of the polypropylene (blended) resin;
SSM is the storage modulus value of the propylene homopolymer reference specimen;
a1 and a2 are coefficient values for C2, where a1 is 1 or more and 2 or less, and a2 is 25 or more and 35 or less;
b1 is the intercept value for C2, and b1 is 65 or more and 85 or less.
According to paragraph 1,
The a1 is 1.65 or more and 1.75 or less, and the a2 is 28 or more and 32 or less. A method for predicting physical properties of polypropylene (blending) resin.
According to paragraph 1,
The b1 is 70 or more and 75 or less. A method for predicting physical properties of polypropylene (blending) resin.
According to paragraph 1,
The first propylene random (co)polymer is polypropylene homorandom polymer, ethylene-propylene random copolymer, butene-propylene random copolymer, pentene-propylene random copolymer, hexene-propylene random copolymer, heptene-propylene random copolymer. A method for predicting the physical properties of a polypropylene (blending) resin, comprising at least one selected from the group consisting of a polymer and an octene-propylene random copolymer.
According to paragraph 1,
The second propylene (co)polymerized elastomer comprises isotactic polypropylene segments;
Contains at least one selected from the group consisting of propylene homo elastomer, ethylene-propylene copolymer elastomer, butene-propylene copolymer elastomer, pentene-propylene copolymer elastomer, hexene-propylene copolymer elastomer, heptene-propylene copolymer elastomer, and octene-propylene copolymer elastomer. doing;
Method for predicting physical properties of polypropylene (blending) resin.
According to paragraph 1,
The C1 is 0 to 10 wt%, a method for predicting the physical properties of polypropylene (blending) resin.
According to paragraph 1,
The C2 is 0 to 50 wt%, a method for predicting the physical properties of polypropylene (blending) resin.
According to paragraph 1,
The storage modulus value of the reference specimen and the predicted storage modulus value of the polypropylene (blended) resin are,
Storage modulus values at temperatures above 0°C and below 30°C,
Method for predicting physical properties of polypropylene (blending) resin.
Using the storage modulus value of the polypropylene (blending) resin derived according to clause 1, predict the Handle-O-Test value of the polypropylene nonwoven fabric made from the polypropylene (blending) resin. Including the steps of:
Method for predicting physical properties of polypropylene nonwoven fabric.
According to clause 9,
The step of predicting the handle-o-value is a method of predicting the physical properties of polypropylene nonwoven fabric, which is performed using Equation 2 below:
[Equation 2]

In Equation 2 above, e is a natural constant,
HOTV1 is the handle-o-value,
a21 is 1 or more and 1.5 or less,
a22 is greater than 0 and less than or equal to 0.002,
PSM is the storage modulus value of the polypropylene (blended) resin derived in claim 1 above.
According to clause 9,
It further includes measuring the phase angle (Phase Angle at glass Temperature, PAT) value at the glass transition temperature of the polypropylene (blending) resin,
Comprising the step of predicting the Handle-O-Test value of the polypropylene nonwoven fabric through the storage modulus value and the phase angle value of the polypropylene (blended) resin derived according to claim 1,
Method for predicting physical properties of polypropylene nonwoven fabric.
According to clause 11,
The step of predicting the handle-O-value is performed using Equation 2 and Equation 3 below. Method for predicting physical properties of polypropylene nonwoven fabric:
[Equation 2]

In Equation 2 above, e is a natural constant,
HOTV1 is the handle-o-value,
a21 is 1 or more and 1.5 or less,
a22 is greater than 0 and less than or equal to 0.002,
PSM is the storage modulus value of the polypropylene (blended) resin derived in claim 1,
[Equation 3]

In Equation 3 above, e is a natural constant,
HOTV2 is the handle-o-value,
HOTV1 is the handle-o-value derived from Equation 2 above,
b21 is between 20 and 25,
b22 is less than 0 and greater than -0.5,
PAT is the phase angle value at the glass transition temperature of the polypropylene (blended) resin.