The technological advancements have provided possibilities that have contributed to the development and adaptation of digital technology designing contemporary fashion and textiles. This development has led to new challenges, including the need for rapid design processes using computer-aided design (CAD) software while maintaining high accuracy. The field of color separation in textile printing and design is linked to production preparation stages and printing processes that combine design vision and technical knowledge. In this context, the research presents an applied study of using Ramsete III software in color separation, especially those designs that require precise geometric calculations to link and regularly repeat design units. The research problem examines the application of Ramsete III software in color separation and printing preparation for textile designs, addressing the constraints of color separation tools and the need to create a methodology comprising specific steps that provide precise replication and high-quality print results. This research adopted a procedural approach by outlining the steps involved in color separation. As a result, research outcomes formed a basis for developing a proposed replicable workflow for digital color separation in textile printing. The framework proposed ensures improved repeats, minimizes production faults, and offers a methodology for contemporary textile printing.
In this paper, we study and analyze the properties of a specific group of synthetic textiles: lamé fabrics with a polyester base and a metallic surface. As designers increasingly use lamé, these materials are finding their way into major museum collections in growing numbers. Since the long-term preservation of these fabrics is a fundamental task for museologists, we set out to select the most suitable coating material to protect them. To date, systematic research on remedial preservative coatings for composite, metallic-coated synthetic textiles remains critically scarce, leaving a significant gap in professional conservation guidelines. With this goal in mind, we treated specially prepared two types of lamé test samples, gold-colored and holographic, with six different preservative coatings. These included two natural-based formulations (chitosan and Poligen ES 91009) and four acrylic-based resins (Paraloid B67, Plexisol P550, a mixture of Paraloid B67 and B44, and Incralack). We performed various destructive and non-destructive tests on both uncoated and coated samples to obtain objective data on their properties. Due to the knitted construction of the samples, we assessed their strength using the ball burst method and furthermore measured color and gloss changes, fabric thickness, projected yarn diameter, covering layer thickness, wale and course density, mass, and bending stiffness. After summarizing our results, we found that the most promising coating material is Plexisol P550, an organic solution of butyl methacrylate-based acrylic resin. Specifically, Plexisol P550 demonstrated the highest optical and dimensional stability, limiting the total color difference to ΔEab* $\Delta {E}_{\text{ab}}^{\ast }$ = 4.29 for gold-colored lamé and 12.16 for holographic lamé, while other formulations caused severe discoloration up to ΔEab* $\Delta {E}_{\text{ab}}^{\ast }$ = 64.53. Furthermore, Plexisol P550, unlike the other coating materials, caused only a negligible mass increase (+1.39 %) and a minimal deviation of only 1.84 % in strength compared to the untreated references, successfully preserving the fabric’s natural flexibility and drape. Based on these findings, we plan to conduct further experiments through artificial aging to evaluate the future aging factors of lamé materials treated with this specific preservative.
The aim of this study was to analyse regional and age-related differences in body height and chest girth among adult men in Croatia and to examine their distribution within the dimensional framework of the clothing size designation system according to EN 13402. The study was conducted on a sample of 1,637 adult men aged 20–85 years from two Croatian regions, Region I (Central Croatia; n = 733) and Region II (Dalmatia; n = 904). Body height and chest girth were analysed as anthropometric dimensions relevant to men’s clothing size designation, with chest girth representing the primary dimension and body height the secondary dimension. Descriptive statistical methods and two-way analysis of variance (ANOVA) were applied, with age group and region as factors. Age group had a statistically significant effect on both body height and chest girth, whereas region had a statistically significant effect on body height but not on chest girth. Body height decreased with increasing age, with men from Region II having higher mean values across all age groups. A statistically significant Age Group × Region interaction was found for chest girth (p = 0.038), although the effect size was small (partial η 2 = 0.008). Additional pairwise comparisons revealed regional differences in the 50–59 and 60–69 age groups before Bonferroni adjustment; however, these differences were no longer statistically significant after adjustment. The distribution of body height and chest girth combinations showed the highest concentration of participants within the intermediate dimensional ranges defined by EN 13402. The results provide an anthropometric basis for further evaluation of men’s clothing size systems with regard to regional and age-related variation.
In garments where bias tape finishing is applied, bias tapes represent a measurable component of fabric consumption and therefore constitute a significant, yet often overlooked, cost component in apparel production. Nevertheless, the management of this cost component remains largely experience-based, leading to excess fabric allocation, unnecessary roll preparation, and sewing-line interruptions. This study proposes an algorithmic estimation framework, for which a software tool was developed to enable rapid and consistent application of the underlying formulas in practical production settings, in order to determine bias tape roll length, quantity, and diameter under industrial production constraints. The method integrates fabric width, bias tape width, fabric thickness, production volume, empirically derived waste coefficients, and width-dependent cutting feasibility, while explicitly linking roll geometry to sewing-line feeding continuity. The framework was validated using real production data from 16 garment models (14,494 units), enabling direct comparison with experience-based planning. The proposed method reduced the operational roll requirement from 624 to 413 rolls, corresponding to a reduction of 211 rolls, 211 m of fabric (approximately 336.06 m2), and 356.59 min of labor time. Statistical analysis further confirms that conventional planning systematically overestimates roll requirements. Overall, the proposed approach improves material utilization and operational efficiency without requiring changes to existing manufacturing processes. The proposed approach provides a practical and computationally efficient alternative to optimization-based planning methods by directly generating feasible solutions through analytical expressions.
In response to the increasing aesthetic demands of the market, outdoor apparel design faces new challenges. This study aims to deconstruct the structural elements of best-selling outdoor garments and redesign clothing that aligns with users’ emotional needs. A total of 50 popular outdoor apparel products were collected, and their structural components, such as hoods and zippers, were systematically categorized. Using the Affinity Diagram Method, Kansei descriptors were gathered, and the Analytic Hierarchy Process (AHP) together with the Entropy Weight Method (EWM) were applied to obtain subjective and objective weights, which were subsequently integrated into composite weights. By employing the Quality Function Deployment (QFD) model, we combined apparel components, Kansei descriptors, and composite weights to identify optimal structural configurations that reflect consumer preferences. On this basis, new apparel designs were developed and validated through radar chart analysis to evaluate consumer acceptance. This research proposes a systematic and scientific framework that offers reliable decision-making support for outdoor apparel design, thereby enhancing user satisfaction and product competitiveness. The approach demonstrates substantial potential for design optimization and market alignment.
