Yarn Manufacturing Research Articles

Innovative Techniques for Developing Hybrid Yarns Using Different Core Insertion Methods: A Comparative Study

Elastane fibers, in particular, have gained an important share in the production of elastic yarn. This research aims to evaluate innovative methods for developing hybrid yarns (dual core) by integrating core elements in various configurations to show the influence of different core-inserting techniques on yarn characteristics. The research developed a modified pulley (W-grooved roller) to insert core elements side by side along with the existing method during the yarn manufacturing process. Ne 16/1 yarn (dual core) was manufactured using five different core inserting techniques with cotton roving, polybutylene terephthalate (PBT), and elastane (Lycra®). The characteristics of the produced yarns were analyzed using standard testing methods. Statistical analysis was performed to determine significant variations in yarn properties using one-way MANOVA and the MOORA method was employed to determine the most suitable yarn configuration. The results indicate that yarn manufactured by inserting core components side by side significantly enhances the expected characteristics of hybrid yarns. Yarns manufactured by inserting core components side by side show higher strength, elongation, and lower hairiness values. This research introduces a novel technique for producing dual-core yarns by side-by-side insertion of core elements contributing to the development of innovative hybrid yarns.

Conductive Graphene–Polyethylene Terephthalate Composite Yarns with Synergistic Multiwalled Carbon Nanotube Additives by Melt‐Spinning

Conductive graphene yarns are pivotal for embedding electronic and intelligent capabilities into fabrics. The study presents successful fabrication of conductive graphene–polyethylene terephthalate (PET) composite yarns with synergistic multiwalled carbon nanotube (MWCNT) additives through the melt‐spinning process, a widely used industrial method for polymer yarn manufacturing. The integration of MWCNTs significantly improves yarns’ electrical conductivity, achieving nearly a 100‐fold increase compared to MWCNT–PET composite yarns. The electrical performance of these yarns is primarily determined by interfacial contacts between conducting nanomaterials, which can be conceptualized as quantum tunneling barriers with multiple molecular energy levels at their extremities. Employing the Simmons model, the current–voltage characteristics is analyzed through a segmented fitting approach to extract critical barrier parameters. The equivalent barrier height and width remain constant across variations in applied voltage, nanomaterial concentration, and temperature. However, the effective total contact area increases significantly with higher nanomaterial contents, thereby substantially boosting the yarns’ electrical conductivity. The larger graphene size (≈200 nm) in comparison with the MWCNT diameter (≈5 nm) results in a substantially greater interfacial area at graphene–MWCNT contacts compared to MWCNT–MWCNT contacts. This disparity in contact area is the primary factor contributing to synergistic enhancement of electrical conductivity in graphene–PET composite yarns.

The Effect of Spinning Parameters and Fiber Blending Ratio on the Physical Properties of Pineapple Leaf Fiber (PALF)-Cotton Yarns

Pineapple leaf fiber (PALF) is known as pineapple residue and has potential as a textile material. Typical yarn manufacturing adopts ring spinning technique, yet it is challenging for course fibers, including PALF. PALF has been used in clothing and paper production using textile thread. It has the highest modulus among leaf fibers, comparable to synthetic fibers such as aramid and glass, and possesses the greatest tensile strength among leaf fibers. PALF has high fineness index makes it ideal for industrial yarn and woven fabric applications. Using natural fibers offers benefits such as being environmentally friendly, cost-effective, and lightweight yet sturdy. This study evaluates the physical properties of PALF-cotton yarn at three twist speeds, two total drafts, and three PALF-cotton blending ratios. The methodology of this study involves carding, drawing, and ring spinning of the PALF-cotton fibers. The process starts with cutting and opening PALF before blending it with cotton fiber using a carding machine. The finding shows that the average diameter and fineness values range from 205 μm to 458 μm and 31.2 to 67.0 tex, respectively. The study also reported that twist speed, total draft, and blending ratio affect the diameter and fineness of the yarns. In contrast, the increment of twist speed and total draft decreases the fineness and diameter of PALF-cotton yarns. Pineapple leaf fiber (PALF) shows great potential in the apparel industry. Three regression models were presented to predict the future ring-spinning process, and pineapple waste can be repurposed into valuable products, reducing overall waste.

Balloonless spinning spindle head shape optimisation

Abstract The article presents a procedure for assessing and selecting the shape of the ring spinner spindle head that is optimum for yarn manufacturing using the balloonless system, considering multiple criteria. This procedure consists of two stages: the Pareto-optimal method and the distance function method. Twelve spindle head variants were designed and manufactured of 100Cr6 bearing steel composed of C (0.93–1.05%), Si (0.15–0.35%), Mn (0.25–0.45%) along with aluminium alloys EN AW-6060 (AlSi1MgMn) containing Si (0.70–1.3%), Mg (0.6–1.2%), Mn (0.4–1.0%) and EN AW-6060 (AlMgSi) containing Si (0.30–0.60%) and Mg (0.35–0.60%). The shapes of the heads were developed on the basis of the design solutions used previously by the leading ring-spinning machine and spinning spindle manufacturers. Four design variants of spindle heads, made of AlMgSi wrought aluminium alloy, have a unique shape that enables shaping their teeth (notches) by extrusion on a hydraulic press. The assessment criteria were production cost per unit, head weight, maximum surface hardness HV0.1, and four yarn technological quality criteria: maximum yarn tension values during the formation of the base, body and head of the package, and the tension amplitude. The assessment values for the criteria obtained through calculations and measurements were normalized. Then, a set of Pareto-optimal solutions was determined using seven criteria. Due to the fact that this set consisted of six variants, the distance function was used to select the best one. The best design variant of the head is the one corresponding to the lowest distance function value. In our case, the variant is a unique shape, made of AlMgSi alloy, with teeth thickened on the outer diameter of the head, ensuring the lowest yarn tension value at the height during the formation of the package.

Assessment of the effects of the use of preconsumer cotton waste on the quality of rotor yarns

Due to the shortage of raw fiber materials and stricter legislative conditions, it has become necessary to process even the more contaminated fiber wastes that contain only a small amount of useable fibers. Hence, this paper investigates the impact of different cleaning channels on the Rieter R37 rotor spinning machine in controlling spinning strategy and yarn quality using recovered blowroom cotton waste fibers. The study involves spinning 98-tex yarns with different cleaning channels during the spinning process, using recovered blowroom cotton waste in blends with virgin cotton processed into slivers by two methods. Qualitative indicators in the fiber-sliver-yarn line were evaluated and graphically compared. The statistical significance of the influencing factors was determined using the Generalized Anova. Additionally, the quality of the experimental samples was compared to authentic data from global production using the USTER® STATISTIC. The results underline the significant influence of fiber quality, sliver preparation method and implemented cleaning channels on the arrangement of fibers in yarn structures as evidenced by structural and mechanical parameters. In particular, the comparison with USTER® STATISTICS confirms that all yarns meet the required quality standards for selected applications, including those spun exclusively from 100 % cotton waste. Furthermore, the results demonstrate that this innovative technology enables yarn manufacturers to meet customer demands, ensure optimal yarn quality and achieve cost savings by optimizing waste removal without compromising fiber yield.

Fashion Marketing – The Impact of Fashion Trends by Fashion Industries

Fashion and trends play an important role in every man's life. Researching, organizing, promoting and disseminating apparel and accessories that people wish to purchase is known as fashion marketing. It happens throughout the distribution route and affects everyone in the fashion industry. Marketing is primarily in the context of product development, manufacturing, distribution, retailing and development of yarns, fabrics, leather, furs, garments and accessories. The study attempts to present a descriptive account of the improvement in everyone's lifestyle and standard of living brought about by the fashion technologies employed by the fashion businesses. The Revolution of the human lifestyle plays an important role in the study. Study of fashion, trends will improve skills in marketing management. Therefore, this study also provides knowledge about the strategies and techniques used by the fashion industry and how it revolves around the human lifestyle in the current generation. In this current era, digital marketing is an important part of every industry, especially the fashion industry. So, this study addresses the involvement of digital marketing in the fashion industry.

Modeling of mechanical behavior of Agave sisalana fiber's yarn using the design of experiments method

The aim of this study is to propose a model for predicting the mechanical properties of natural sisal yarn based on mechanical strength of used fibers, unit twist of yarn and its density. To achieve this, a complete factorial design modelling method was used, based on a design of experiments approach, which is recommended today because of the ease it offers in taking into account the most complex phenomena. It was developed on the basis of laboratory tests. The model obtained predicts mechanical strength and elasticity modulus of sisal yarn, based on control parameters such as fiber strength, unit twist and yarn mass. This model is currently one of the most accurate tools for predicting and optimising the mechanical properties of sisal yarns. The iso-surface curves represented by this model, can be used to obtain the strength and elasticity modulus of sisal yarn during manufacture, by varying the optimum control parameters. This model is an original tool that can be recommended to the spinning and sisal fiber composite manufacturing industries and others, as it saves time and materials and ensures precision in the manufacture of yarns according to the field of application, thereby contributing to safety in use.

Spinning the Future: The Convergence of Nanofiber Technologies and Yarn Fabrication.

The rapid advancement in nanofiber technologies has revolutionized the domain of yarn materials, marking a significant leap in textile technology. This review dissects the nexus between cutting-edge nanofiber technologies and yarn manufacturing, aiming to illuminate the pathway toward engineering advanced textiles with unparalleled functionality. It first discusses the fundamentals of nanofiber assemblies and spinning techniques, primarily focusing on electrospinning, centrifugal spinning, and blow spinning. Additionally, the study delves into integrating nanofiber spinning technologies with traditional and modern yarn fabrication principles, elucidating the design principles that underlie the creation of yarns incorporating nanofibers. Twisting technologies are explored to examine how they can be optimized and adapted for incorporating nanofibers, thus enabling the production of innovative nanofiber-based yarns. Special attention is given to scalable strategies like centrifugal and blow spinning, which are spotlighted for their efficiency and scalability in fabricating nanofiber yarns. This review further analyses recently developed nanofiber yarn applications, including wearable sensors, biomedical devices, moisture management textiles, and energy harvesting and storage devices. We finally present a forward-looking perspective to address unresolved issues in nanofiber-based yarn technologies.

Prioritising Yarn Quality Via Varying Top Roller Hardness: A Fuzzy Application

In recent years, the spinning or yarn manufacturing sector has seen remarkable technological advancements, emphasizing high-quality yarn production, especially for cotton combed ring spun yarns. In the case of better quality ring spun combed yarn, each part of the ring frame is significant. To fulfil this issue, this study focuses on understanding the impact of the drafting roller hardness on cotton-combed ring-spun yarn quality. It delves into how ten top and bottom roller hardness combinations influence yarn quality parameters. The cotton combed yarns underwent rigorous testing after spinning on ring frames with varying drafting roller hardness. Key quality parameters studied included yarn Imperfection Index (IPI), Unevenness (Ue%), Hairiness (Hi), Elongation at break (Eb%), and Count Strength Product (CSP), and Tenacity (Te). The primary insight was that extreme roller hardness adversely affects all parameters except Elongation at the break value obtained for the shore hardness value of 80/83. Yarns produced using medium-hardness rollers showcased fewer imperfections due to more consistent fibre flow and minimized drafting slippages, resulting in an even twist. These findings are pivotal for the yarn manufacturing industry, hinting at potential refinements in production methods. The usage of the Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) methodology also determined that Te CSP) and IPI values significantly influence the combed yarn quality when adjusting roller hardness, whereas Hi is the least influential. Therefore, this study offers twofold insights: determining the optimal roller hardness and identifying the most affected quality parameters.

Development of dual-core spun yarn using different fiber as a core by hamel twisting (elasto twist) technique and its impact on the denim fabric performance

Textile industries constantly explore innovative methods to increase fabric and yarn properties meeting multiple consumer demands and yarns (dual core) especially those incorporating an elastic core have obtained concentration for their potential in producing fabrics with improved stretch and recovery properties. This study focuses on the manufacturing of yarns (double core) using Hamel Twisting (Elasto twist) techniques utilizing core materials wrapped with 'S' and 'Z' directions such as polytrimethylene terephthalate/polyethylene terephthalate (T400®), PBT (Polybutylene terephthalate), PES (Polyester) and elastane (Lycra®). The yarns are manufactured utilizing an adjusted spinning technique (ring) and the work focuses on core materials wrapped with 'S' and 'Z' direction to the dual-core spun yarns using the Hamel Twisting (Elasto twist) method and also includes the manufacturing of denim fabrics (3/1 ‘Z’ twill) utilizing the developed yarn as weft. The article presents a comprehensive analysis of yarn properties, including unevenness, strength, neps (+200), elongation, thick place (+50), hairiness, and thin place (−50), and subsequently evaluates the fabric properties, such as weight (dry and washed), elasticity %, tensile strength, growth %, tearing strength, stiffness, and shrinkage. The statistical analysis utilizes Two-way ANOVA to examine the significant variations in fabric and yarn characteristics among several core components and their wrapped directions. The findings present an understanding of the performance of yarns (double core) manufactured through the elasto twist method, offering precious insights for applications in multiple textile products, including denim fabrics.

Optimizing Carding Speed Parameters and C-60 RSB Draft to Improve Sliver Quality

ABSTRACT The optimization of settings of spinning machinery is one of the technically most urgent tasks when it comes to achieving the best possible raw material utilization for a high-quality yarn. Carding, as part of an integrated draw frame, is the very critical process in spinning preparation for open end rotor spun yarn manufacturing. The aim of the integrated draw frame process in a spinning line is to produce uniform slivers (with low deviation in mass per unit length) where the fibers are laid parallel and the sliver has relatively low neps, short fiber, trash and dust contents. This work examined the potential effects of a range of speed settings on the physical properties of sliver. Optimization results of the study showed that 3.5 CVm% and 2.8 U% of sliver achieved with 96.3% desirability with optimum predicted value of neps 252 cnt/g, short fiber content by number 25.8%, trash 29 cnt/g and dust 234 cnt/g satisfied at licker in speed of 1250 rpm, cylinder speed of 650 rpm, flat speed 0.29 m/min, and C 60 RSB total draft of 2.11 for processing the cotton variety of Deltapine 90 (DP-90).

Evaluation of environmental impacts of cotton polo shirt production in Bangladesh using life cycle assessment

The textile industry is widely considered as one of the most pollutant-releasing sectors globally. As the world is moving toward sustainability, it is essential to thoroughly assess how a textile product affects the environment. The aim of this study is to investigate the environmental impact of textile manufacturing in Bangladesh using life cycle assessment (LCA) method. A cradle-to-gate LCA was conducted to produce 1000 units of cotton polo shirts following ISO 14040 standards. LCA was also conducted for each final product at every manufacturing stage of cotton polo shirt, including the production of 1000 kg of cotton fibers, 1000 kg of yarn, 1000 kg of grey fabrics, 1000 kg of dyed-finished fabrics, and finally, assembling of 1000 pieces of polo shirts. Inventory analysis revealed that for producing 1000 pieces of polo shirts, 0.12 hector of land, 363.89 kg of cotton fiber, 324.84 kg of yarn, 320.45 kg of knitted fabric, and 299.5 kg of dyed-finished fabrics were required. The study also found that 1550.9 kWh of electricity, 15.47 L of diesel, and 72.54 m3 of natural gas were needed to produce 1000 pieces of polo shirts. The potential environmental impacts were categorized into 12 different types based on the CML 2001 method and calculated using openLCA 2.0 software. The outcomes of LCA revealed considerable environmental impacts in different categories during manufacturing of cotton polo shirts in Bangladesh. For example, the global warming potential (GWP) associated with the manufacturing of 1000 pieces of polo shirts was 1345.97 kg CO2-eq. Among several production stages of polo shirts, the highest contributor of GWP was dyeing section (38.36 %), followed by cotton fiber production (29.32 %) and yarn manufacturing (18.92 %). The obtained data also revealed that for cultivating cotton fibers, manufacturing of yarn and grey fabrics, and finally dyeing-finishing of same quantity fabric (1000 kg), the GWP were 1084.41 kg CO2-eq, 783.67 kg CO2-eq, 145.88 kg CO2-eq, 1723.88 kg CO2-eq, 314.94 kg CO2-eq, respectively. The outcome of the impact assessment will be crucial for decision-making when it comes to taking remedial actions to lessen negative environmental consequences for the sustainable development of textile industry in Bangladesh.

Customizable and scalable manufacture of aesthetic ionic conductive silk yarns for e-textile devices

Electronic textiles (e-textiles), which combine the comfort of textiles with the functionality of soft electronics, have attracted much attention in wearable applications. However, scale-up fabrication of stretchable textiles with concurrent high stability and aesthetic appeal features poses significant challenges. Here, we report a scalable and customizable dip-coating strategy for the preparation of multiple-colored and functionally stable ionic conductive silk yarns (i-SY) and demonstrate their effectiveness in exercise posture correction. The i-SY preserves the inherent properties of silk fibers and ionic liquids, exhibiting improved mechanical properties, weaving capabilities, flame retardancy, and electrical conductivity. The method leverages the exceptional transparency of ionic liquids, facilitating the large-scale production of colored i-SYs to meet aesthetic demands. Additionally, the i-SY sensor exhibits exemplary sensing sensitivity and stability, enabling the real-time monitoring of human joint movements and facilitating precise posture correction during fitness exercises. We envision that the proposed sensing textile holds promise for applications in wearable devices, healthcare monitoring, and human–machine interfaces.

Tensile Properties of Different Yarn Structures Based on Recycled Carbon Fibre for Sustainable Thermoset Composites

The development of different hybrid yarn structures from recycled carbon fibre (rCF) (rCF content approx. 50% by weight) and thermoplastic fibres for thermoplastic composites has been reported earlier. However, manufacturing of yarns with high rCF content (>90%) required for thermoset composites is still not realizable due to high shortening (≥ 70%) in fibre length of rCF, which occurs during different processing steps of spinning. The reason lies in low shear strength, smooth fibre surface, small diameter and high brittleness of rCF. In addition to this, lack of crimp in rCF leads to drafting error during drawing and spinning process. Therefore, there is a high demand on rCF yarns for thermoset composites, as around 70% of composites are produced based on thermoset matrix. In this paper, yarns consisting of staple rCF with high rCF content (>90 weight%) are developed on DREF-friction spinning and wrap spinning technologies. For the production of yarns, slivers with different rCF content are produced using carding and drawing machine. The effect of different spinning parameters suction air pressure for DREF friction spun yarns and yarn twist for wrap spun yarns is investigated and their effect on tensile properties of yarn is analysed. The results show that the tensile properties of yarns can be adjusted to a wide range varying the yarn structure and spinning parameters.

Pure chitosan multifilament yarns made using a semi‐industrial pilot scale wet‐spinning process with ionic liquids

AbstractThe ionic liquid 1‐ethyl‐3‐methyl‐imidazolium acetate (EMIMOAc) is used to develop a wet‐spinning process for the manufacturing of chitosan multifilament yarns on a semi‐industrial pilot scale. Commercial chitosans of different qualities, properties, and deacetylation degree ≤85% are used to prepare of spinning dopes with solids content of 6.0–8.5 wt.% using EMIMOAc as a solvent. The viscometric properties are characterized by rheological tests. The manufacturing of the pure chitosan multifilament yarns of different fineness and filament count from the prepared spinning dopes is performed on a pilot wet‐spinning plant. The obtained yarn properties are evaluated by optical (scanning electron microscope, light microscope), structural (infrared spectroscopy, X‐ray diffraction), and textile‐physical characterization. Chitosan multifilament yarns with high performance, tenacities of ~20–26 cN tex−1 and textile processability in weaving, knitting and braiding processes are manufactured in this work.

Essential Factors for the Advancement of the Yarn Manufacturing Sector in Sri Lanka: Implications of the Socio-Economic Environment

The textile and apparel sector are well-represented in the industrial sector of the Sri Lankan economy. It has become Sri Lanka’s largest export industry since 1986. Enhancing quality and decreasing expenses are the main priorities for the Sri Lankan apparel sector, highlighting the necessity for deliberate growth. More significant export revenue and considerable import expenditure on raw materials like yarn, fabric, etc., for apparel manufacturing, is a common phenomenon in the Sri Lankan apparel sector leading to less economic value generation. Thus, this paper studies the key factors affecting the advancement of the yarn manufacturing sector in Sri Lanka and the implications of the turbulent socio-economic environment. To address the identified research problem, this study proposes a conceptual framework through a systematic literature review, which identifies the essential factors for the advancement of the yarn manufacturing sector in Sri Lanka under the current socio-economic environment. The Partial Least Square Structural Equation Modelling (PLS-SEM) method was used to capture the interactive relationships among the key factors and the advancement of the yarn manufacturing sector in Sri Lanka. Data was gathered using questionnaires from employees in the yarn manufacturing industry, textile industry, and textile engineering students in Sri Lanka. The results show that the quality of raw materials, machines and technology and better investors have a positive relationship with the advancement of the yarn manufacturing sector in Sri Lanka. Keywords: Apparel Industry, PLS-SEM and Yarn Manufacturing.

Electrical and electrothermal characterization of silver-coated Vectran and Amberstrand yarns for wearable heating

The development and manufacturing of conductive fibers, yarns, and fabrics is increasing exponentially due to their multiple applications in wearable electronic textiles in sensors, actuators, data processing, communication, and energy storage. This paper investigated the electrical and electrothermal properties of Liberator 40 yarns and Amberstrand 166 conductive yarns for application in wearable heating textiles. The aim of the study was to find a flexible material for protective wearable resistive heating cloths in cold environments. The analytical results demonstrate that the Liberator 40 conductive yarn gave better heating performance than the Amberstrand 166 conductive yarn due to its electrothermal characteristics. In addition, Liberator 40 conductive yarn had higher long-term durability, washing resistance, and thermal stability than Amberstrand 166 conductive yarn. The average surface temperature of both the Liberator 40 and Amberstrand 166-based wearable heating fabrics was 40°C and 34.5°C at a 9 V DC power supply, respectively. Therefore, both the conductive yarns are suitable to be applied as resistive heating elements for localized wearable heating textiles.

Developing a data-driven operational guide for the texturized yarn production process: data mining and intelligence approach

PurposeThe textile industry holds immense significance in the economy of any nation, particularly in the production of synthetic yarn and fabrics. Consequently, the pursuit of acquiring high-quality products at a reduced cost has become a significant concern for countries. The primary objective of this research is to leverage data mining and data intelligence techniques to enhance and refine the production process of texturized yarn by developing an intelligent operating guide that enables the adjustment of production process parameters in the texturized yarn manufacturing process, based on the specifications of raw materials.Design/methodology/approachThis research undertook a systematic literature review to explore the various factors that influence yarn quality. Data mining techniques, including deep learning, K-nearest neighbor (KNN), decision tree, Naïve Bayes, support vector machine and VOTE, were employed to identify the most crucial factors. Subsequently, an executive and dynamic guide was developed utilizing data intelligence tools such as Power BI (Business Intelligence). The proposed model was then applied to the production process of a textile company in Iran 2020 to 2021.FindingsThe results of this research highlight that the production process parameters exert a more significant influence on texturized yarn quality than the characteristics of raw materials. The executive production guide was designed by selecting the optimal combination of production process parameters, namely draw ratio, D/Y and primary temperature, with the incorporation of limiting indexes derived from the raw material characteristics to predict tenacity and elongation.Originality/valueThis paper contributes by introducing a novel method for creating a dynamic guide. An intelligent and dynamic guide for tenacity and elongation in texturized yarn production was proposed, boasting an approximate accuracy rate of 80%. This developed guide is dynamic and seamlessly integrated with the production database. It undergoes regular updates every three months, incorporating the selected features of the process and raw materials, their respective thresholds, and the predicted levels of elongation and tenacity.

Spinning Processing with Automation

Fibre and yarn processing and fabric manufacturing are the two division of textile industry. Electronic controls systems are functioning for optimal running with all machines under proper supervising in step wise improvement in each yarn manufacturing process. Modern automation techniques can manufacture in the textile processing to achieve greater number of smaller manufacturers, who can produce smaller organization to produce cost-effective and quick delivery products. Automation Solutions have their new generation of product lines for expert engineers to serve automation solutions for the whole of the value chain. With the installation of Rieter Automation Solutions from blow room to final packaged yarns, it reduces the number of personnel. Present day automation is used in yarn manufacturing from bale management to processing of cone winding. On one of the major key objectives in textile manufacturing is to improve quality and cost competitiveness. At present, spinning is one of the most applied areas where automation is successful in manufacturing processes. Voltas offers the wide range of machines in spinning processing for products as needed by the spinning industry.

Compact spinning: a comprehensive review of the revolution in yarn manufacturing

Compact spinning has emerged as a contemporary spinning technology that has garnered significant attention due to its capacity to produce yarns with excellent properties. The strategy is a variation of conventional ring spinning that seeks to get rid of the spinning triangle while improving the uniformity, strength, and hairiness of the yarn. In compact spinning, fiber condensation is achieved by negative pressure airflow, which compresses the fibers and reduces their thickness. This results in a higher packing density of the fibers, leading to stronger and more uniform yarns. In this article, we provide a comprehensive overview of compact spinning technology, covering its principle, fiber condensation method, and the types of machines used. The quality of the yarn is greatly influenced by various systems and parameters such as lattice apron, air suction slot geometry, airflow fields, and twist mechanism employed in compact spinning. We present a compendium of the various developments established in studies on compact spinning, which could serve as a platform for developing new techniques in compact spinning for the production of high-quality yarns with low economic burdens. This review discusses compact spinning, two main systems, machines, influential parameters/peripherals, disadvantages, and the future prospects of compact spinning. Additionally, we provide a summary of previous research on compact spinning, highlighting its benefits and advantages over traditional ring spinning. Furthermore, we discuss the impact of guiding devices and lattice apron type on yarn quality. We also explore the potential of three-dimensional (3D) printing technology in enhancing the performance and design of compact spinning machines.