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2026-01-24

Smart Automation Takes Lead at Dhaka Expo: Garment Machinery Industry Shifts Toward Efficiency and Solutions

The 2026 Bangladesh International Sewing Equipment Exhibition, held in Dhaka from January 14, has become a showcase for the global garment machinery industry’s shift toward automation, digitization and integrated solutions. As Bangladesh— the world’s second-largest garment exporter, with the sector accounting for over 80% of its total exports—undergoes a critical transition from labor-intensive to technology-driven production, demand for smart equipment is surging, attracting leading...

2026-01-17

Chinese Innovations Transform Textile Dyeing: Waterless & Flash Dyeing Machines Redefine Industry Sustainability

Guangzhou & Lianyungang, October 28, 2025 – China’s textile machinery sector is leading a global revolution in fabric dyeing technology, with homegrown enterprises launching groundbreaking waterless and high-efficiency dyeing machines. Companies including Yiwei Environment, Yingyou Xinlicheng, and Fengzhu Group are pioneering processes that slash water consumption, reduce chemical use, and boost production efficiency, addressing the traditional dyeing industry’s long-standing environmental...

2026-01-10

Smart & Green Upgrades Propel Stenter Machine Industry Amid Textile Sector Transformation

BEIJING, Jan. 10 (Xinhua) -- The global stenter machine industry is experiencing robust growth driven by the accelerating transformation of the textile sector toward intelligence, sustainability, and high-quality production. As a critical equipment for fabric finishing, stenter machines are evolving from traditional mechanical models to smart, energy-efficient systems, supported by stringent environmental regulations and surging demand for high-performance textiles in apparel, home furnishing,...

2025-12-29

Leading Textile Machinery Maker Unveils Smart Production Line, Paving Way for Industry Transformation

The newly launched smart production line covers the entire textile manufacturing process, from fiber processing to fabric finishing. Equipped with advanced computer numerical control (CNC) systems and machine learning algorithms, it can automatically adjust production parameters based on raw material characteristics and real-time market demands. "This production line achieves a 35% increase in production efficiency compared to traditional equipment, while reducing energy consumption by 22% and...

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