Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This research paper explores eco-printing, a sustainable and innovative textile printing technique, as a viable method for surface ornamentation of women's casual wear. Traditional textile printing methods often rely on synthetic dyes and chemical processes that pose significant environmental risks. Eco-printing offers an alternative by utilizing natural pigments extracted directly from plant materials such as leaves, flowers to create unique and organic patterns on fabric. This study investigates the principles and processes involved in eco-printing, examining its potential to produce aesthetically appealing and environmentally conscious designs suitable for the casual wear market. Furthermore, it analyzes the fastness properties of the natural dyes obtained through eco-printing and assesses the overall sustainability of the technique compared to conventional methods. By exploring the creative possibilities and environmental benefits of eco-printing, this research aims to highlight its potential as a valuable and responsible approach to textile design and manufacturing for the women's fashion industry. The findings will contribute to a growing body of knowledge advocating for sustainable practices in textile production and offer insights for designers and manufacturers seeking eco-friendly alternatives for surface ornamentation.
"Eco-printing: A Technique of Textile Printing for the Surface Ornamentation of Womens Casual Wear", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a155-a160, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505015.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator