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GB/T 6595-2025   Plastics—Test method for fish eye count of polypropylene resin (English Version)
Standard No.: GB/T 6595-2025 Status:valid remind me the status change

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Target Language:English File Format:PDF
Word Count: 9000 words Translation Price(USD):270.0 remind me the price change

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,,2025-8-1,63C9C1A8CA96EC811738737957827
Standard No.: GB/T 6595-2025
English Name: Plastics—Test method for fish eye count of polypropylene resin
Chinese Name: 塑料 聚丙烯树脂鱼眼测试方法
Chinese Classification: G31    Basic standards and general methods for synthetic resin and plastic
Professional Classification: GB    National Standard
ICS Classification: 83.080.20 83.080.20    Thermoplastic materials 83.080.20
Source Content Issued by: SAMR; SAC
Issued on: 2025-01-24
Implemented on: 2025-8-1
Status: valid
Superseding:GB/T 6595-1986
Target Language: English
File Format: PDF
Word Count: 9000 words
Translation Price(USD): 270.0
Delivery: via email in 1~3 business day
GB/T 6595-2025 Plastics - Test method for fish eye count of polypropylene resin WARNING - Persons using this document shall be familiar with relevant laboratory practice. This document does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. 1 Scope This document describes the test method of counting fish eyes in polypropylene resin film specimens using projectors and standard orifice plates, and specifies the technical requirements for using image acquisition and analysis system to detect fish eyes in continuous uniform motion during the preparation of polypropylene resin film, and the technical content such as the representation of test results. This document is applicable to the preparation of film specimens and the counting of polypropylene resin fish eyes using the tape casting method (Method A: projector method) as well as the counting of polypropylene resin fish eyes during film preparation (Method B: dynamic image analysis method). Polypropylene resin films are transparent or translucent. 2 Normative references The following documents contain provisions which, through reference in this text, constitute provisions of this document. For dated references, only the edition cited applies. For undated references, the latest edition (including any amendments) applies. GB/T 8170 Rules of rounding off for numerical values & expression and judgment of limiting values 3 Terms and definitions For the purposes of this document, the following terms and definitions apply. 3.1 fish eye spherical particles that are not sufficiently fused with the surrounding material Note 1: Fish eyes in polypropylene films are spheres or ellipsoids formed of transparent or translucent resins. Note 2: Fish eyes are sometimes referred to as "crystal dots". 3.2 image acquisition process of capturing images through image sensors, converting the image information into system-recognizable image data, and utilizing it for display and analysis 3.3 image analysis process of performing data processing on an image to obtain a numerical or logical result 3.4 pixel smallest unit in an image represented by a digital sequence 3.5 pixel effective size actual size of the measured object corresponding to each pixel of the image acquisition system Note 1: In micrometers (μm). Note 2: The pixel effective size is determined by the physical pixel size of the sensor and the magnification of the optical system. The smaller the value, the higher the measurement accuracy. 3.6 sensor resolution absolute number of pixels on the sensor Note: Sensor resolution is in pixels. 3.7 optical system resolution ability of imaging systems to resolve details of imaged objects Note 1: In microns (μm)/pixel. Note 2: The optical system resolution is related to all factors affecting the system, such as sensor resolution and magnification of the optical system. 3.8 gray level value associated with the pixel representing the brightness from black to white Note 1: Most dynamic image methods use 8-bit cameras, and their gray level ranges from 0 to 255, with 0 indicating black and 255 indicating white. Note 2: Gray levels are also called gray scales, gray levels, and gray values. 3.9 matrix gray level average gray level of each pixel in the image set for controlling the brightness of the film substrate at the time of image acquisition Note: Different matrix gray levels may cause differences between test results. 3.10 detection limit value gray level set during image analysis to distinguish fish eyes from the film substrate and used for their identification and measurement Note 1: Different detection limits may lead to differences between test results. Note 2: The detection limit value is also referred to as the detection threshold or sensitivity. 3.11 equivalent circle diameter diameter of the circle with the same area as the fish eye digital image 4 Projector method (Method A) 4.1 Apparatus 4.1.1 Projector The magnification of the projector shall not be less than 8 times, and the size of the observation board shall not be less than 200 mm × 200 mm. 4.1.2 Projection area The projection area is a screen or other suitable flat object with a flat surface, uniform color and no pollution. The projection area is perpendicular to the horizontal plane. 4.1.3 Standard orifice plate The standard orifice plate is made of plexiglass or other transparent materials, with a specification of 230 mm × 230 mm × 3 mm. It has 3 standard holes with hole diameters of φ0.8 mm, φ0.4 mm and φ0.2 mm respectively, with smooth edges and a hole diameter distance of about 12 mm. The hole is roughly located in the center of the plate.
Contents 1 Scope 2 Normative references 3 Terms and definitions 4 Projector method (Method A) 5 Dynamic image analysis method (Method B) 6 Precision 7 Test reports Annex A (Normative) Preparation requirements for fish eye film specimens of polypropylene resin by casting method Annex B (Normative) Verification method of dynamic image analysis method
Referred in GB/T 6595-2025:
*GB/T 8170-2008 Rules of rounding off for numerical values & expression and judgement of limiting values
Code of China
Standard
GB/T 6595-2025  Plastics—Test method for fish eye count of polypropylene resin (English Version)
Standard No.GB/T 6595-2025
Statusvalid
LanguageEnglish
File FormatPDF
Word Count9000 words
Price(USD)270.0
Implemented on2025-8-1
Deliveryvia email in 1~3 business day
Detail of GB/T 6595-2025
Standard No.
GB/T 6595-2025
English Name
Plastics—Test method for fish eye count of polypropylene resin
Chinese Name
塑料 聚丙烯树脂鱼眼测试方法
Chinese Classification
G31
Professional Classification
GB
ICS Classification
Issued by
SAMR; SAC
Issued on
2025-01-24
Implemented on
2025-8-1
Status
valid
Superseded by
Superseded on
Abolished on
Superseding
GB/T 6595-1986
Language
English
File Format
PDF
Word Count
9000 words
Price(USD)
270.0
Keywords
GB/T 6595-2025, GB 6595-2025, GBT 6595-2025, GB/T6595-2025, GB/T 6595, GB/T6595, GB6595-2025, GB 6595, GB6595, GBT6595-2025, GBT 6595, GBT6595
Introduction of GB/T 6595-2025
GB/T 6595-2025 Plastics - Test method for fish eye count of polypropylene resin WARNING - Persons using this document shall be familiar with relevant laboratory practice. This document does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. 1 Scope This document describes the test method of counting fish eyes in polypropylene resin film specimens using projectors and standard orifice plates, and specifies the technical requirements for using image acquisition and analysis system to detect fish eyes in continuous uniform motion during the preparation of polypropylene resin film, and the technical content such as the representation of test results. This document is applicable to the preparation of film specimens and the counting of polypropylene resin fish eyes using the tape casting method (Method A: projector method) as well as the counting of polypropylene resin fish eyes during film preparation (Method B: dynamic image analysis method). Polypropylene resin films are transparent or translucent. 2 Normative references The following documents contain provisions which, through reference in this text, constitute provisions of this document. For dated references, only the edition cited applies. For undated references, the latest edition (including any amendments) applies. GB/T 8170 Rules of rounding off for numerical values & expression and judgment of limiting values 3 Terms and definitions For the purposes of this document, the following terms and definitions apply. 3.1 fish eye spherical particles that are not sufficiently fused with the surrounding material Note 1: Fish eyes in polypropylene films are spheres or ellipsoids formed of transparent or translucent resins. Note 2: Fish eyes are sometimes referred to as "crystal dots". 3.2 image acquisition process of capturing images through image sensors, converting the image information into system-recognizable image data, and utilizing it for display and analysis 3.3 image analysis process of performing data processing on an image to obtain a numerical or logical result 3.4 pixel smallest unit in an image represented by a digital sequence 3.5 pixel effective size actual size of the measured object corresponding to each pixel of the image acquisition system Note 1: In micrometers (μm). Note 2: The pixel effective size is determined by the physical pixel size of the sensor and the magnification of the optical system. The smaller the value, the higher the measurement accuracy. 3.6 sensor resolution absolute number of pixels on the sensor Note: Sensor resolution is in pixels. 3.7 optical system resolution ability of imaging systems to resolve details of imaged objects Note 1: In microns (μm)/pixel. Note 2: The optical system resolution is related to all factors affecting the system, such as sensor resolution and magnification of the optical system. 3.8 gray level value associated with the pixel representing the brightness from black to white Note 1: Most dynamic image methods use 8-bit cameras, and their gray level ranges from 0 to 255, with 0 indicating black and 255 indicating white. Note 2: Gray levels are also called gray scales, gray levels, and gray values. 3.9 matrix gray level average gray level of each pixel in the image set for controlling the brightness of the film substrate at the time of image acquisition Note: Different matrix gray levels may cause differences between test results. 3.10 detection limit value gray level set during image analysis to distinguish fish eyes from the film substrate and used for their identification and measurement Note 1: Different detection limits may lead to differences between test results. Note 2: The detection limit value is also referred to as the detection threshold or sensitivity. 3.11 equivalent circle diameter diameter of the circle with the same area as the fish eye digital image 4 Projector method (Method A) 4.1 Apparatus 4.1.1 Projector The magnification of the projector shall not be less than 8 times, and the size of the observation board shall not be less than 200 mm × 200 mm. 4.1.2 Projection area The projection area is a screen or other suitable flat object with a flat surface, uniform color and no pollution. The projection area is perpendicular to the horizontal plane. 4.1.3 Standard orifice plate The standard orifice plate is made of plexiglass or other transparent materials, with a specification of 230 mm × 230 mm × 3 mm. It has 3 standard holes with hole diameters of φ0.8 mm, φ0.4 mm and φ0.2 mm respectively, with smooth edges and a hole diameter distance of about 12 mm. The hole is roughly located in the center of the plate.
Contents of GB/T 6595-2025
Contents 1 Scope 2 Normative references 3 Terms and definitions 4 Projector method (Method A) 5 Dynamic image analysis method (Method B) 6 Precision 7 Test reports Annex A (Normative) Preparation requirements for fish eye film specimens of polypropylene resin by casting method Annex B (Normative) Verification method of dynamic image analysis method
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Keywords:
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