A new intelligent cutting machine capable of shoveling cloth and its cutting processing method

Abstract

The invention discloses a novel intelligent cutting bed capable of shovelling a cloth, and a cutting processing method. According to the novel intelligent cutting bed, a drive module, a speed reducer module, a numerical control module and a transmission module are arranged in a cutting bed body; a palm fibre felt conveying table is fixedly arranged on the cutting bed body; a material picking table is arranged in a manner of being higher than the cutting bed body; an inclined plane forming an angle of 65-75 degrees with a horizontal plane is arranged at one end connected with the cutting bed body, of the material picking table; a shovel knife used for shovelling off the cut cloth from the palm fibre felt conveying table is fixedly connected to the lower end of the inclined plane; the shovel knife is provided with a plurality of knife teeth which are distributed in a shape of saw teeth, along the horizontal plane vertical to the movement direction of the cloth on the palm fibre felt conveying table; and the shovel knife is arranged on a linear guide rail. According to the novel intelligent cutting bed disclosed by the invention, the automatically-controlled shovel knife with an ingenious design is adopted, and the knife teeth are embedded inside the palm fibre felt conveying table to drag the cloth, thus the installation complexity of the automatic cutting bed is reduced, the installation period is shortened, and cutting and production can be rapidly carried out in a short time.

Description

technical field [0001] The invention relates to the technical field of numerically controlled cutting machines for clothing materials, in particular to a novel intelligent cutting machine capable of shoveling cloth and a cutting processing method. Background technique [0002] In the intelligent cutting bed of the prior art, the brown felt conveying table set on the cutting bed is a flip-type brown felt, and the brown felt moves along with the conveying direction of the cloth, and is transported like a belt at the end of the mobile table, along with The cloth enters on the transfer table and turns to the bottom of the cutting bed, so that the cut cloth is driven to move in translation on the moving table and move toward the transfer table. The space occupied by the entire brown felt conveying table is at least two layers of brown felt thickness. Not only the space frame required for the bed of the cutting machine is large, but also the thick brown felt is like a belt. As th...

AI Technical Summary

Problems solved by technology

The space occupied by the entire brown felt conveying table is at least two layers of brown felt thickness. Not only the space frame required for the bed of the cutting machine is large, but also the thick brown felt is like a belt. As the cut cloth is transported into the transfer table and turned over, the power energy consumed can be imagined. Years of movement consumes huge power energy, the production technology is complicated, and the cost is high; the entire cutting bed requires many steel plates, and the bed It is heavy, inconvenient to disassemble and install, and difficult to transport and install over long distances; the cutting bed can not collect materials and spread cloth at the same time, so the existing intelligent cutting bed mainly has the following disadvantages:

[0003] 1. The production cost is high: the bed is welded with steel plates, the production technology is complicated, and the cost is high;

[0004] 2. The assembly cycle is long: because the bed is made of all steel plates, the bed is heavy, it is inconvenient to disassemble and install, and it is difficult to transport and install over a long distance;

[0005] 3. Large energy consumption, not energy-saving;

[0006] 4. Low processing efficiency: The existing cutting machine can not collect materials and spread cloth at the same time, which consumes a lot of labor and time, and the production efficiency needs to be further improved

Images