SHIMA SEIKI to Exhibit at A+A 2021
SHIMA SEIKI MFG., LTD. of Wakayama, Japan, through its Italian subsidiary SHIMA SEIKI ITALIA S.p.A., will participate in the A+A 2021 International Trade Fair for Safety, Security and Health at Work in Düsseldorf, Germany.
Having achieved recognition as an innovation leader in the flat knitting industry through pioneering inventions such as the world’s first DSCS® Digital Stitch Control System and seam-free WHoLEGARMEnT® knitting, SHIMA SEIKI has entered the field of technical textiles by proposing knitting as an alternative to other manufacturing methods. Through breakthroughs in original hardware and software technology as well as research in new materials, what was impossible to knit in the past can now not only be knit; it can be made to perform even better.
On display will be the company’s SVR123SP computerized flat knitting machine featuring a dedicated loop presser bed that permits full use of inlay technique for the production of hybrid fabrics that feature both knit and weave characteristics, suited to the production of safety-oriented functional fabrics. SVR123SP furthermore features i-Plating inverse-plating capability for increased patterning capability, including the production of jacquard-like patterns in light-weight plain jersey stitch. A variety of knit samples produced on SVR123SP will be presented at A+A featuring anti-bacterial, fireproof and cut-resistant fabrics, including a light-weight cut-resistant apron as an alternative proposal to current heavy vinyl aprons used in the meat packing industry. Safety glove samples knitted on SHIMA SEIKI’s glove knitting Machine will be presented as well.
Also demonstrated will be SHIMA SEIKI’s SDS-onE APEX4 3D design system. APEX4’s capability for virtual sampling is especially effective in streamlining the production process. Ultra-realistic simulation capability allows the use of virtual samples for evaluating design variations without producing actual samples for each variation. Smart, speedy and sustainable production is possible by minimizing the time, cost and resources normally required with sample-making.