VS Sewing Machines

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Sewing Machines are arranged dependent on their usefulness, and they have likewise been ordered relying upon their highlights like sewing, knitting and weaving.

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A matched needle and bobbin thread tensions is a major requirement of a seam and also to the quality of garment. This paper describes an attempt on the development of an automated needle thread tension regulating system for single needle lock stitch sewing machine. Historically, several experiments have been carried out to measure the thread tensions of both needle thread and bobbin thread of a lock stitch machine. However, no evident in favour of the development of a device to adjust the needle thread tension automatically. Despite a cyclic variation of the needle thread tension, a needle thread regulation system is developed to maintain an average needle tension during the cycle at a predetermined level. The developed system can be installed on an existing single needle lock stitch machine and capable of maintaining the required correct thread tension profile for sewing. The needle thread tension regulation system is a closed loop system and with a load cell as a sensing device and a geared DC motor adjusts the compression of the spring of the thread tensioner. A visual display of thread tension is indicated on a 16X4 LCD display and the required needle thread tension is set by 4×4 keypad. An Arduino board controls the electronic equipment in the system. second hand tailoring machine in chennai, perambur, mylapore, madipakkam

TEXTURES are ubiquitous in real world, and texture anal-ysis has been studied for years in the field of image pro-cessing and computer vision. One application in textile industryis an automatic sewing machine for garment manufacturing,which requires a vision system to recognize fabric patterns andtrack fabric motions. Although texture tracking in general hasbeen investigated in the literature a few works focuson robust and efficient algorithms specially designed for fabricsin a real-time environment. In the cutting or sewing part of thesewing machine, to avoid aliasing, a real-time vision systemshould be capable of continuously monitoring a small region ofa fabric near the sewing needle and tracking a very small motion(possibly less than the width of a thread) in successive frames.

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The sewing process is a manufacturing technology which presents severe challenges for automation. Due to variations in the material properties and unpredictable mechanical compliance, real-time sensor-based control strategies are necessary to achieve satisfying results. This paper presents a sewing cell consisting of two lightweight industrial robots and a sewing machine. Sensors are included both for force and edge positioning control. Experiments are presented showing the performance of the proposed real-time control framework. The experiments focus on the real-time control loop for force and edge control during the sewing process.

Sewing is a labor intensive process, which is hard tokeep as part of manufacturing in high cost countries.Most of the sewing industry, including the equipmentmanufacturers have outsourced their activities to lowcost countries. The motivation for keeping these pro-cesses in high cost countries are usually the need forshort lead time in order-based production, and that thesewing process is highly integrated with the rest of thevalue chain. This is the case for a Norwegian producerof recliners, and different approaches to automate theirmanual sewing processes of leather covers for reclinershave been a major research activity the last years.usha tailoring machine in chennai, perambur, mylapore, madipakkam

This describes an automated sewing cell developed for joining parts with different shapes using two individually controlled robots. The specific case presented involves the joining of four leather parts which make up the footstool cover shown in Fig. 1. At the same time it is an important goal for the research work to develop flexible solutions capable of handling different part geometries and material properties. The chosen cell design uses two lightweight robot arms which can control two parts individually. This enables the system to sew parts with different geometry, resulting in 3D shaped assemblies. Force measurements are used to control the tension in the parts and edge measurements are used to control the seam position relative to the edges of the parts. The controller system has no prior knowledge of the shape of the parts. The main focus in this paper is verification of the controlframework and measurements of the force and edgeerror during the sewing process

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presents the development of signal acquisition and analysis equipment for the measurement of sewing parameters on a high-speed overlock sewing machine. The objective of the work was to provide investigators of the textile area with hardware and software to ease the investigation on the dynamical behaviour of the following sewing parameters: force on needle bar; and presser-foot and thread tensions. It should also have enough flexibility to incorporate further signal entries, and provide the user with tools to ease the gathering and analysis of tests on different materials, sewing speeds and machine configurations and settings. Outputs for actuators to implement closed-loop control strategies are also available. The paper presents an overview of the system, which is a development of earlier hardware and software and focuses on the results concerning the measurement of the force on the needle-bar; this parameter is important to investigate needle penetration force in fabrics during sewing. Several signal-processing algorithms, that aim to automate the detection of some characteristics, are described. The purpose of this system, that implements some novel strategies, is to develop an add-on kit to apply to different sewing machines, but presently it has been implemented on a PC as a quality assessment system which will be used by textile technicians to build a quality database.

Present trends in the textile industry point to the reduction of the order sizes and to greater demands on shorter delivery times and higher quality. This factor leads apparel manufacturers to adopt new management strategies to enable a quick market response. On the other hand, in the sewing room, manufacturers must be able to quickly reconfigure their production system and equipments to cope with the rapidly changing needs of the materials that are being processed. The setting of sewing machines can, in this context, be a task that introduces si@icant time loss, as sewing technicians set the machines on base of experience and empirical methods. A scientifical approach to the behaviour of sewing parameters has been undertaken only in the last few years and has revealed itself to be extremely difficult,

To provide the user with analysis tools other than a simple time representation of the signals; To investigate on the usefulness of analysis tools used in other signal processing areas; To be itself a modular system, with expandable hardware so as to make it possible to accommodate other signal sources in addition to the ones considered at this moment, and also adding outputs for a control system based on the information collected in the first stages of this work. The-aim is to produce an add-on kit applicable to different sewing machines.

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In garment manufacturing, an automatic sewing machine is desirable to reduce cost. To accomplish this, a high-speed vision system is required to track fabric motions and recognize repetitive weave patterns with high accuracy, from a microperspective near a sewing zone. In this letter, we present an innovative framework for real-time texture tracking and weave pattern recognition. Our framework includes a module for motion estimation using blob detection and feature matching. It also includes a module for lattice detection to facilitate the weave pattern recognition. Our lattice-detection algorithm utilizes blob detection and template matching to assess pair-wise similarity in blobs’ appearance. In addition, it extracts information of dominant orientations to obtain a global constraint in the topology.

By incorporating both constraints in the appearance similarity and the global topology, the algorithm determines a lattice that characterizes the topological structure of the repetitive weave pattern, thus allowing for thread counting. In our experiments, the proposed thread-based texture tracking system is capable of tracking denim fabric with high accuracy (e.g., 0.03° rotation and 0.02 weave-thread translation errors) and high speed (3 frames per second), demonstrating its high potential for automatic real-time textile manufacturing.

TEXTURES are ubiquitous in real world, and texture anal-ysis has been studied for years in the field of image pro-cessing and computer vision. One application in textile industryis an automatic sewing machine for garment manufacturing,which requires a vision system to recognize fabric patterns andtrack fabric motions. Although texture tracking in general hasbeen investigated in the literature a few works focuson robust and efficient algorithms specially designed for fabricsin a real-time environment. In the cutting or sewing part of thesewing machine, to avoid aliasing, a real-time vision systemshould be capable of continuously monitoring a small region ofa fabric near the sewing needle and tracking a very small motion(possibly less than the width of a thread) in successive frames.

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Seam stitches made by a computer program on a CNC sewing machine may be shifted from their desired positions due to the elasticity of thread and substrate material. The mismatch may lead to a visually inferior appearance of the resulting seam pattern compared to the one desired by the manufacturer.This paper presents a software to accurately identify the distortion vector for each individual stitch. The proposed software consists of a thread pixel detection in the scanned image of the textile based upon the Frangi Filter and the Expectation Maximization algorithm. A Subsequent registration with the desired model finds an accurate assignment of each model stitch position and the corresponding thread pixel. This allows the computation of individual distortion vectors facilitating the automatic reprogramming of corrected stitch positions in the CNC sewing program to minimize the final distortion.

Sewing technology is a very well established textile joiningtechnology to join multiple material layers or finish textilesurfaces with decoration. Whenever bulky materials e.g. formattresses, car seats or shoes are sewn and finished withquilting or decoration seams CNC (Computerized NumericalControl) sewing is applied. Since the human eye is verysensitive to small distortion of geometric patterns a highseam position accuracy has to be ensured. However the realseam will never directly fulfill the geometric requirementscompared to designed due to the elasticity of substrates andthreads. Every stitch will pull the substrate towards the stitchdirection. This leads to the fact that every stitch will pullevery already applied stitch towards its own position . In this simplified example the desiredmodel seam pattern forming a closed square is altered toan open pattern by the sewing process where first and finalstitch points don’t coincide which can easily be detectedby the human eye. Due to hundreds or even thousands ofstitches in one seam pattern the complex dependencies cannotbe controlled manually anymore. Up to now this effort hasneeded intensive human interaction expensive in time andcost as reported e.g. in . Until now there is no visionsystem and software based solution to automatically optimizethe seam pattern

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Automated sewing is a complicated task in manufacturing. Due to the non-rigid work pieces and variations in the material characteristics, sensor-based control has to be used to accomplish the sewing operation. This paper presents a strategy for velocity synchronization and corner matching in an automated sewing cell based on two industrial manipulators and a sewing machine. A hybrid force/motion control scheme is adopted using feedback from force/torque sensors for tension control and optical sensors to control the seam position. The strategy is based on switching between force control and displacement control using a leader/follower coordination scheme. This addresses the problem of corner mismatch occurring when two independent force controllers are used for controlling the two robots. Experiments verify that the proposed method gives a satisfactory corner matching, which is crucial for the presented sewing case.

The automation of sewing operations is a difcult taskin manufacturing. Several challenges arise from the non-rigidity and the large variations and uncertain material char-acteristics of the processed materials. This makes the designand implementation of both material handling and controlduring the sewing applications a complex task compared tohandling rigid materials. Nevertheless, there is a demandfrom the industry in high-cost countries to automate thesewing process.In the past decades, several research groups have workedin the eld of automated sewing and the handling of non-rigid materials.An automated sewing cell consisting of one robot and asewing machine is presented in . Both the tensionin the work piece and the seam allowance are controlled inreal-time.

The “Factoryplay” company, which operates in the Bragançaindustrial area, in the northeast region of Portugal, designsand produces inflatable structures for recreational activities andtheme parks. Its economical activity extends well beyond theborders of the national territory. As a matter of fact, nowadays“Factoryplay” is a company whose large array of certifiedproducts are available in several countries both inside andoutside the Union.

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In this paper a concept for automated multi-robot-aided sewing is presented. The objective of the work is to demonstrate automatic sewing of 3D-shaped covers for recliners, by assembling two different hide parts with different shapes, using two robots to align the parts during sewing. The system consists of an industrial sewing machine and two real-time controlled Universal Robots 6-axis industrial manipulators. A force feedback system combined with optical edge sensors is evaluated for the control of the sewing process. The force sensors are used to synchronize the velocity and feed rate between the robots and the sewing machine. A test cell was built to determine the feasibility of the force feedback control and velocity synchronization. Experiments are presented which investigate the ability of the robot to feed a hide part into the sewing machine using a force sensor and different strategies for velocity synchronization.

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Because of the labor intensive nature of sewing op-erations, the industry in high cost counties like Nor-way has moved most of their sewing processes tolow cost countries. There are some exceptions that areusually driven by the need for short time to marketand high customer flexibility, combined with logisticaladvantages. However, the increasing labor costs inhigh cost countries is challenging for the whole valuechain even if the majority of the production processis highly automated and cost effective compared tolow cost countries. Hence, failing to increase produc-tivity and capacity in the non-automated processeslike sewing operations will challenge more than justthe non-automated processes, and this has motivatedthe development of new advanced automation such asautomated sewing.

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An approach to automate complex sewing operationsneeds to address the challenges of high product andprocess variance. The technical solutions must handleboth the low volume and high mix that is commonin customized production, and the high complexityof handling limp materials. This suggests that sensorsystems and in-process measurement able to describethe sewing process, in addition to real-time controlbased on the measurements, are needed to solve the complex task of sewing.

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Here, we present a facile method for rapid fabrication of low-cost, stretchable electrical interconnections for wearable electronics. Using a commercial sewing machine, thin metallic wires are sewn onto the wearable materials in a double-stitch zigzag pattern, with the second stitch being a water-soluble polyvinyl alcohol (PVA) thread. The stretchable pattern is secured onto a clothing with a stretchable elastomer coating followed by dissolution of the PVA thread in water. The interconnections maintain a constant electrical conductivity for strains up to 50 % and bending cycles over 15000. As a proof of concept implementation, we sewed interconnects and a soft capacitive force sensor onto a latex glove to create a wearable tactile sensor with a linear sensitivity of 96 F/N.

The next generation electronics demand more human-friendly devices that have the ability to be easily integrated into clothing and garments for applications such as wearable health monitoring systems, human motion detection, and robotics . To address these demands, during the last decade numerous research groups have developed various different fabrication technologies that can be classified into three main categories. The first and early implementation relied on the fabrication of stretchable serpentine or herringbone configuration metal and semiconductor traces created via traditional micro-fabrication technologies . In this process the stretchable traces are either directly patterned or transfer printed onto an elastic substrate . The devices fabricated by this approach have resulted in highly integrated electronics with multifunctional capabilities. Various wearable and implantable devices have been reported using this approach, including stretchable and conformal sensors, batteries, and actuators. jack tailoring machine in chennai, perambur, mylapore, madipakkam

Another fabrication technique is based on developing new stretchable and electrically conductive composites by embedding elastic polymers with conductive nano/mirco particles such as silver nano particles and CNTs . Using this approach several stretchable and flexible sensors have been reported. For instance, D. J. Lipmoi et al. reported a transparent stretchable human motion detector utilizing a thin layer of CNT that was spray coated onto the elastic substrate . M. Amjadi et al. demonstrated highly stretchable strain sensor with tunable gauge factor made of a silver nanowire network embedded into PDMS elastomer . Using the same conductive nanowires with higher concentration . Xu et al. developed highly stretchable conductors with lower susceptibility to strain.

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Because of the wear of the sewing needles of embroidery machines defects can appear on the embroidery surface of the product. Therefore, it is necessary to schedule the moments of replacing the sewing needles of the embroidery machines based on the anticipation of their failure moments. Within this framework, the purpose of this study is to develop a fuzzy decision system for determining the moment of replacing of the sewing needles of embroidery machines, considering their amplitude of vibrations measured on the three axes of the Cartezian coordinate system.

The embroidery machines are complex equipment with a single or multi-heads, which are controlled through PLC. In the case of embroidery machines, the sewing needles largely influence the quality of the manufactured products. Considering the influence of sewing needles on the quality of textile products, the existing works presented in the literature aimed to study the penetration force of the needles in the textile material , the influence of the sewing needle temperature on the textile material and the influence of the vibrations of the embroidery machine. hsw embroidery machine in chennai , perambur, mylapore, madipakkam

The wear of sewing needles is characterized by the changing of the size and shape of the needle, and the displacement of the needle axis relative to the vertical direction. Due to the wear of sewing needles, at high vibrations during the operation of the embroidery machines, there is wrinkling of the material on which the embroidery pattern is applied and breaking of the sewing thread can occur so that the embroidery machine has to be stopped. It is necessary to reposition the sewing needle with 6-10 stitch steps behind the trajectory to follow and the embroidery machine should be restarted. When the embroidering process restart, an overlap of the sewing thread occurs. Therefore, because of the wear of sewing needles defects appear on the embroidery surface of the product, the availability and thus the productivity of embroidery machines decrease, while the manufacturing costs are rising.jack stitching machine in chennai, perambur, mylapore, madipakkam

Within this context, it is necessary to schedule the moments of replacing the sewing needles of the embroidery machines based on the anticipation of their failure moments. In the past years, through the development of different types of sensors, the scheduling of the replacement of components has been moved from a statistical approach to a condition-based maintenance . Modern diagnostic techniques use sensors that determine the state of the equipment by comparing the signals received from the sensors at a given moment with signals corresponding to their good functioning status .

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Because of the wear of the sewing needles of embroidery machines defects can appear on the embroidery surface of the product. Therefore, it is necessary to schedule the moments of replacing the sewing needles of the embroidery machines based on the anticipation of their failure moments. Within this framework, the purpose of this study is to develop a fuzzy decision system for determining the moment of replacing of the sewing needles of embroidery machines, considering their amplitude of vibrations measured on the three axes of the Cartezian coordinate system.

Brushless direct current motor (BLDCM) to have the volume to be small, the movement is reliable, the control precision is high as well as maintenance convenience merits and so on, simultaneously also have characteristics that is the efficiency to be high and the velocity is easy to be adapt. In recent years, along with the modern electronic technology’s fast development, this kind of motor already widely applied in the industrial field. The brushless direct current motor more and more to be used in the sewing machine manufacturing industry. At present, the Brushless direct current motor’s control mode to have many kinds, the classics PID control, afterward presented the auto-adapted fuzzy PID control, as well as other advanced control method . Regarding the sewing machine, the starting time can be changed during the motor startup, based on this adjust, simultaneously it requested that the motor have no the over modulation basically and fast stable. The present control method is not very ideal.

This article according to the control mode of brushless direct current motor as well as the sewing machine to electrical machinery’s characteristics that the start time is requested, uses three step of start methods, the soft initialization mode is used in the first starting period, the PI adjustment is used in the second starting period and changes the acceleration, uses the PID adjustment in the final starting period, in which pre-treats the over modulation, the controller completes the motor from the start to the stability. Starting time’s adjustment may be carry on in the starting period. The experimental result indicated that the system’s starting ability and the dynamic response performance is good by using this method. The running effect is also satisfactory. jack sewing machine dealers in chennai, perambur, mylapore, madipakkam

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