| Budget Amount *help |
¥3,870,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥270,000)
Fiscal Year 2007: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2006: ¥2,700,000 (Direct Cost: ¥2,700,000)
|
|---|
| Research Abstract |
CAD/CAM spread from manufacturing to product design to support trial manufactures and accurate simulation. Product design requires mock ups to evaluate product shape and check interference. With includes layer creations, e.g. stereo lithography and selective laser sintering (RS) and machining creations e.g. high-speed machining and turning often used in product design.
On the other hand, plastic working is a vital industrial process using a material's plasticity to obtain a designated shape as the industrial mass production.
Processing using dies discrimination of3-climensional (3D) CAD, rapid prototyping has progressed mainly in 3D printer use enabling 3D models based on CAD data to be created quidcly.3D modeling for rapid prototyping is not suitable for small-lot multiple-item production, leading to a need for plastic working without dies. While forging and sheet metal forming are processed with die manufacturing as mass production, although factory automation supported by CAD/CAM and/
… More
or CNC machine tools and/or industrial robots are progressing, in small-lot production of large rumbas of items or trial production, five forging and metal hammering depend on human skill costing time and money due to lack of alternatives 'lb automate such works, processing requiring no dies is studied and applied fm practical examples. Until today, some studies on automating flaming cylindrical bodies having free-curved surfaces by incremental forming or hammering are reported.
We have proposed numerically controlled 3D modeling with metal hammering used as rapid prototyping. Tb automate conventional manual metal hammering, we have proposed the approaches below. At first, to verify the principle of our proposal, we have assumed 3 degrees-of freedom MOM in farming with a posture ford hammer As the result, the system could perform an automated metal hammering working based on CAD data For example, relatively simplified shapes were formed. However, since simplified automated metal hammering system has only 3 D0F, it could not perform metal hammering working flexibly as the human workers do.
Furthermore, the system did not have enough ability to form objective shape accurately pampering with the defined shape on CAD. Therefore, we attempt to apply an industrial robot to perform metal hammering working in other to imitate human worker with range finder which improves errors in dimension and shape of the workpiece. ACAM having feed-back function considering tool posture by use of range finder is developed to improve a depth error and a shape error at corner part. From the experimental result, the system is hind to have an ability to decrease the shape error by tool posture optimization. Less
|
