Changhua is Leading Whole Garment Flat Knitting Machine manufacturer, Whole garment machine is computerized flat knitting machine that uses expert technicians to knit each garment.
A Whole Garment Computerized Flat Knitting Machine is an advanced type of knitting machine designed to produce seamless garments in a single piece. Unlike traditional knitting machines that create separate fabric panels that must be sewn together, whole garment machines knit an entire garment, such as a sweater, without seams. This results in a more comfortable, better-fitting product and reduces the need for labor-intensive post-production processes.
The machine knits the entire garment as a single, continuous piece. This includes complex structures like sleeves, body, and necklines, eliminating the need for seams.
The machine is fully computerized, allowing precise control over every stitch. Designers can input patterns and shapes via software, and the machine automatically executes the design.
Whole garment machines can produce a wide variety of garments, including sweaters, dresses, sportswear, and even footwear, all without seams.
By eliminating the need for cutting and sewing, these machines reduce material waste and save time. The seamless nature of the garments also leads to higher durability and less wear over time.
The computerized aspect allows for easy customization and production of small batches, making it ideal for personalized fashion or on-demand manufacturing.
Use wool, cashmere, cotton, chemicalfiber, silk and all kinds of blended yarn.
Needle plate is oiled automatically to reducethe wear between needle and needle bed and prolongservice life.
These machines are used in fashion industries, especially in high-end and performance wear, where the fit and feel of seamless garments are highly valued. They're also used in innovative fashion design, where complex structures and patterns are required.
Whole Garment Flat Knitting Machine Application To Use wool, cashmere, cotton, chemicalfiber, silk and all kinds of blended yarn.