1. Development of Resizing Software for Paper Patterns

Maliheh Dehghan; Morteza Vadood; Pedram Payvandy; Mehdi Rezaeian

Volume 9, Issue 2 , Spring 2021, , Pages 80-71

Abstract

  Today, with the advancement of technology and practical tools, the use of manual methods has becomeinefficient due to time consuming. The keys to success in clothing production are ...  Read More Today, with the advancement of technology and practical tools, the use of manual methods has becomeinefficient due to time consuming. The keys to success in clothing production are the correct use ofmodern tools, new methods of design and production management. In the present study, an attempt wasmade to provide a fast and accurate method for converting a paper pattern to a modifiable and sizabledigital pattern using image processing that is easily accessible and is not required special knowledge. Inaddition, different types of patterns including female upper body pattern, collar and collar hem, sleevesand pants were prepared. In order to express the results, six levels are considered for the average errorobtained from sizing, which are high level (error less than 0.1 cm), relatively high (error between 0.1 cmto 0.4 cm), medium (error between 0.4 cm to 0.6 cm), relatively medium (error between 0.6 cm to 0.8 cm),relatively low (error between 0.8 to 1 cm) and low (error greater than 1 cm). After sizing and evaluatingthe measured errors, it was concluded that the average total errors in the proposed method to increase anddecrease the sizes are 0.33 and 0.266 cm, respectively.

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2. Study on Linear Density Effect on the Vibration Behavior of Textile Strings Using Video Processing

Mina Emadi; Pedram Payvandy; Mohammad Ali Tavanaie; Mohammad Mahdi Jalili

Volume 8, Issue 2 , Winter and Spring 2020, , Pages 41-51

Abstract

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3. Online Control System Design for Selvedge Waste Length in Rapier Weaving Loom

Vajiha Mozafary; Pedram Payvandy

Volume 7, Issue 2 , Winter and Spring 2019, , Pages 73-80

Abstract

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4. An Investigation of Structural-Mechanical Properties of Spun-Bonded Non-Woven Using Computer Vision Method

Mina Emadi; Mohammad Ali Tavanaie; Pedram Payvandy

Volume 7, Issue 1 , Winter and Spring 2019, , Pages 3-13

Abstract

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5. Measuring the Diameter of Nanofibers Extracted from Polyblend Fibers Using FCM Clustering Method

Neda Dehghan; Pedram Payvandy; Mohammad Ali Tavanaie

Volume 4, Issue 2 , Winter and Spring 2016, , Pages 83-91

Abstract

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6. Optimization of Fabric Layout by Using Imperialist Competitive Algorithm

Motahareh Kargar; Pedram Payvandy

Volume 3, Issue 2 , Winter and Spring 2015, , Pages 55-63

Abstract

  In textile industry, marker planning is one of the main operations in the cutting fabric stage. Marker packing is usually used to maximize cloth exploitation and minimize its waste. ...  Read More In textile industry, marker planning is one of the main operations in the cutting fabric stage. Marker packing is usually used to maximize cloth exploitation and minimize its waste. In this research, a method is used based on new found meta-heuristic imperialist competitive algorithm (ICA) and Bottom-Left-Fill Algorithm (BLF) to achieve optimal marker packing. Function of the proposed method was compared with other evolutionary algorithm based marker packing methods. The results indicate that the performance of presented method is 6.5% higher than other evolutionary marker packing methods.

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7. Investigating Nonlinear Kelvin Model Accuracy Optimized by Genetic Algorithm for Determining Drying Behavior of Knitted Fabric

Pedram Payvandy; Vajihe Mozafary

Volume 4, Issue 1 , Winter and Spring 2015, , Pages 1-8

Abstract

  Knitted fabrics are widely used by the underwear apparel industry due to their good elasticity. Modeling the mechanical behavior of knitted fabrics using Kelvin model is one of the ...  Read More Knitted fabrics are widely used by the underwear apparel industry due to their good elasticity. Modeling the mechanical behavior of knitted fabrics using Kelvin model is one of the discussed subjects in the textile industry. The purpose of this study is to investigate the accuracy of a nonlinear Kelvin model for determining the drying behavior of knitted fabrics. To fulfill this aim, genetic algorithm was used to optimize the model to achieve the lowest error between experimental and model results. The Kelvin model consists of a concentrated mass, a spring and a damper which are arranged in parallel. In the model a timevarying mass was considered due to the fabric drying process. Also, the behavior of the spring and damper were considered to be two-order nonlinear. Because of the nonlinear behavior of the spring and damper, the determination of the spring and damper coefficients by numerical methods was complicated. These coefficients were determined by minimizing the errors between the model and experimental results using the genetic algorithm. The results of the modeling of the knitted fabrics were compared to the experimental data for five samples with different course densities. The meaningful 4.5 percent difference between the purposed model and the experimental values proved that the presented system had acceptable results which could be used to investigate the length changes of knitted fabrics during drying processes. So, it was confirmed that the drying behavior of the knitted fabrics can be simulated by the nonlinear Kelvin model.

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8. Optimization of the thread take-up lever mechanism in lockstitch sewing machine using the imperialistic competitive algorithm

Pedram Payvandy; Saeed Ebrahimi

Volume 3, Issue 1 , Winter and Spring 2015, , Pages 16-23

Abstract

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9. Modeling the feeding process in gill-box using non-linear mass-spring system

Vajihe Mozafary; Pedram Payvandy

Volume 2, Issue 2 , Winter and Spring 2014, , Pages 39-42

Abstract

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