Seam And its Classification with seam problemSadia Textile
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What is Seam?
A seam is a joint of two pieces of fabric in producing a three -dimensional shape of a garment.
Properties of good seam are,
= Smooth fabric joints
= No Missed or Uneven stitches
= No damage to the material being sewn
= Achievement of strength, elasticity, Durability, security and comfort
= Comfortable while garment is in use
SEAMS DESIGNATION
Each stitched seam is designed numerically by five digits:
0.00.00 refers to the CLASS, 1-8;
0.00.00 refers to the material configuration,
01 to 99;
0.00.00 refers to needle penetrations, material configurations, 01-99.
Seam Classification:
According to British Standard 3870: 1991, seam is classified as-
Class 1- superimposed
Class 2- lapped
Class 3- bound
Class 4- flat
Class 5- decorative/channel
Class 6- edge neatening
Class 7- applied
Class 8- others
* Formed by lapping two pieces of component, they are produced with minimum of two pieces of component.
* One component is limited on one end and the other is limited on the other end. The limited edges of these two components are put in opposite directions.
* Used for: main seaming of denim jackets, jeans, and overalls. Fabrics that will not ravel, unlined garments, side seams of shirts, joining lace to another fabric, attaching patch pockets, decorative finish
PECB Webinar: Understanding the basics of laboratory management with ISO/IEC ...PECB
We will cover:
• Components and implementation of Laboratory Management System based on ISO 17025
• Principal process of Laboratory management system
• Quality, administrative and technical systems/requirements that govern the operations of a laboratory
Presenter:
This webinar will be presented by Dotun Bolade. He is a Certified PECB ISO/IEC 17025 Lead Assessor and Trainer.
Lakshy Management Consultant Pvt. Ltd. provides a 10 step approach to achieving ISO 17025 accreditation for testing and calibration laboratories. The 10 steps include awareness training, developing quality policies and objectives, gap analysis, documentation, implementation, internal audits, management reviews, pre-assessments, corrective actions, and the final accreditation audit. Lakshy assists clients through each step to ensure their organization meets all ISO 17025 requirements and receives accreditation.
Introduction to the guide of uncertainty in measurementMaurice Maeck
This document provides an introduction to measurement uncertainty and the Guide to the Expression of Uncertainty in Measurement (GUM). It discusses key concepts such as measurement uncertainty, types of uncertainty evaluation, and the stages of the uncertainty evaluation process. The formulation stage involves expressing the measurement mathematically in terms of input quantities and their estimates and uncertainties. The calculation stage determines the measurement result, its combined uncertainty, and expanded uncertainty. Examples are provided on probability distribution functions, the central limit theorem, and the t-distribution.
The document discusses the ISO/IEC 17025 standard for laboratory accreditation. It outlines the standard's requirements for management systems and technical operations. Specifically, it describes the standard's 15 management requirements and 10 technical requirements. It also explains the standard's requirements for quality management, document control, purchasing, corrective actions, internal auditing, and management reviews.
ISO 17025 certification gives testing and calibration laboratories the same type of accreditation that ISO 9001 gives to manufacturing and service organizations. Learn more at http://www.CEBOS.com
This document discusses uncertainties and errors in physical measurements. It explains that there are two types of errors - random errors which are unpredictable, and systematic errors caused by imperfect measuring equipment. Random errors can be reduced by repeating measurements, while systematic errors are reduced by calibrating equipment. Accuracy refers to how close a measurement is to the true value, while precision refers to how close repeated measurements are. The number of significant figures reported in a result should not exceed the least precise value used. The document also discusses determining and expressing uncertainties in measurements, and how to combine uncertainties when performing calculations or graphing data.
Seam And its Classification with seam problemSadia Textile
Like Comment And download.
What is Seam?
A seam is a joint of two pieces of fabric in producing a three -dimensional shape of a garment.
Properties of good seam are,
= Smooth fabric joints
= No Missed or Uneven stitches
= No damage to the material being sewn
= Achievement of strength, elasticity, Durability, security and comfort
= Comfortable while garment is in use
SEAMS DESIGNATION
Each stitched seam is designed numerically by five digits:
0.00.00 refers to the CLASS, 1-8;
0.00.00 refers to the material configuration,
01 to 99;
0.00.00 refers to needle penetrations, material configurations, 01-99.
Seam Classification:
According to British Standard 3870: 1991, seam is classified as-
Class 1- superimposed
Class 2- lapped
Class 3- bound
Class 4- flat
Class 5- decorative/channel
Class 6- edge neatening
Class 7- applied
Class 8- others
* Formed by lapping two pieces of component, they are produced with minimum of two pieces of component.
* One component is limited on one end and the other is limited on the other end. The limited edges of these two components are put in opposite directions.
* Used for: main seaming of denim jackets, jeans, and overalls. Fabrics that will not ravel, unlined garments, side seams of shirts, joining lace to another fabric, attaching patch pockets, decorative finish
PECB Webinar: Understanding the basics of laboratory management with ISO/IEC ...PECB
We will cover:
• Components and implementation of Laboratory Management System based on ISO 17025
• Principal process of Laboratory management system
• Quality, administrative and technical systems/requirements that govern the operations of a laboratory
Presenter:
This webinar will be presented by Dotun Bolade. He is a Certified PECB ISO/IEC 17025 Lead Assessor and Trainer.
Lakshy Management Consultant Pvt. Ltd. provides a 10 step approach to achieving ISO 17025 accreditation for testing and calibration laboratories. The 10 steps include awareness training, developing quality policies and objectives, gap analysis, documentation, implementation, internal audits, management reviews, pre-assessments, corrective actions, and the final accreditation audit. Lakshy assists clients through each step to ensure their organization meets all ISO 17025 requirements and receives accreditation.
Introduction to the guide of uncertainty in measurementMaurice Maeck
This document provides an introduction to measurement uncertainty and the Guide to the Expression of Uncertainty in Measurement (GUM). It discusses key concepts such as measurement uncertainty, types of uncertainty evaluation, and the stages of the uncertainty evaluation process. The formulation stage involves expressing the measurement mathematically in terms of input quantities and their estimates and uncertainties. The calculation stage determines the measurement result, its combined uncertainty, and expanded uncertainty. Examples are provided on probability distribution functions, the central limit theorem, and the t-distribution.
The document discusses the ISO/IEC 17025 standard for laboratory accreditation. It outlines the standard's requirements for management systems and technical operations. Specifically, it describes the standard's 15 management requirements and 10 technical requirements. It also explains the standard's requirements for quality management, document control, purchasing, corrective actions, internal auditing, and management reviews.
ISO 17025 certification gives testing and calibration laboratories the same type of accreditation that ISO 9001 gives to manufacturing and service organizations. Learn more at http://www.CEBOS.com
This document discusses uncertainties and errors in physical measurements. It explains that there are two types of errors - random errors which are unpredictable, and systematic errors caused by imperfect measuring equipment. Random errors can be reduced by repeating measurements, while systematic errors are reduced by calibrating equipment. Accuracy refers to how close a measurement is to the true value, while precision refers to how close repeated measurements are. The number of significant figures reported in a result should not exceed the least precise value used. The document also discusses determining and expressing uncertainties in measurements, and how to combine uncertainties when performing calculations or graphing data.