锻压技术

机器人上下料旋压工作站的设计与应用

英文标题：Design and application on spinning station based on robot loading and unloading system

作者：徐平凡肖文勋王哲王文彬

分类号：TP241.2；TH122

出版年,卷(期):页码：2019,44(8):112-115

摘要：

针对传统旋压机人工上、下料存在劳动强度大、成本高、效率低和次品率高等问题，设计了1套机器人上、下料旋压工作站，通过机器人与旋压机的配合，自动完成板型元件的上料、成品工件的下料和精确存放等工序；并针对不同型号尺寸和不同表面处理的原材料加工设计了1套柔性夹具，包括若干爪臂和驱动装置，驱动装置用于驱动爪臂动作，并在爪臂上设有防滑件，防止爪臂夹取工件原料或工件成品时出现松动。整个过程无需人工介入，能有效提高生产效率、减轻劳动强度。设备已应用到实际生产中，员工数从21人降低到5人，1年内收回成本，各项技术指标较好。

For the problems of high labor intensity, high cost, low efficiency and high defective rate caused by the manual loading and unloading of traditional spinning machine, a robot loading and unloading spinning station was designed, and the processes of loading plate, unloading finished products and accurate storage were automatically completed by the cooperation of robot and spinning machine. Then, a set of flexible fixture was designed for processing raw materials of different sizes and surface treatments including several claw arms and driving devices. Furthermore, the action of claw arm was driven by the driving device, and antiskid parts were installed on the claw arm to prevent the claw arm from loosening when it clamped raw materials or finised products. Thus, the whole process effectively improves production efficiency and reduces labor intensity without manual intervention, and the equipment is applied in the actual production to reduce the number of employees from 21 to 5 and recovery the cost within one year. Finally, various technical indicators are good.

基金项目：

广东省青年创新人才项目（2017GkQNCX086）；广东省科学规划课题（2017GGXJK078）；中山职业技术学院重大科技项目（2017KQ01）

作者简介：徐平凡（1983-），男，硕士，副教授 E-mail：pfxu022@163.com

参考文献：

[1] 李卓，丁宵月. 锻造生产线生产过程的数字化概述[J]. 锻压技术，2018,43(1):30-32.

Li Z，Ding X Y. Digitization overview of production process for forging production line [J]. Forging & Stamping Technology，2018,43(1):30-32.

[2] 陈逢军,胡思节.数控钻尖磨床自动上下料机构及PLC的设计[J].制造技术与机床，2006，(2): 34-37.

Chen F J，Hu S J.Design of PLC and automatic loading and unloading mechanism for CNC drill point grinder[J]. Manufacturing Technology & Machine Tool，2006, (2): 34-37.

[3] 董传军，杨延水.基于PLC的外圆磨床自动上下料机构[J].制造技术与机床，2006，(4): 86-87.

Dong C J, Yang Y S. PLC based automatic loading & unloading mechanism for cylindrical grinder[J]. Manufacturing Technology & Machine Tool, 2006, (4): 86-87.

[4] 李书平，陈岳坪，范聚吉.夹片自动上下料机构设计[J].机械设计与制造，2011, (8): 150-151.

Li S P，Chen Y P, Fan J J.Design of auto feeding and discharging device for clip[J]. Machine Design & Manufacture,2011, (8): 150-151.

[5] 齐敏杰，张学宾，宋克兴，等. 大型液压装载机摇臂锻造成形模拟[J]. 锻压技术，2017，42（2）：1-4.

Qi M J，Zhang X B，Song K X，et al. Forging simulation on the rocker arm of large hydraulic loader[J]. Forging & Stamping Technology，2017，42（2）：1-4.

[6] 李汾娟. 基于单片机的数控冲压进给系统的设计[J]. 现代制造技术与装备，2009，(4):13-15.

Li F J. The design of the feeding system of CNC punching with the singlechip[J]. Modern Manufacturing Technology and Equipment, 2009, (4):13-15.

[7] 曹静静，崔耀东，李东兴. 多线材变截面一维下料问题解法研究[J].锻压技术，2017，42（1）：161-164.

Cao J J, Cui Y D，Li D X. Study on the solution of onedimensional cutting stock for multiple stock lengths with variable crosssection [J].Forging & Stamping Technology，2017，42（1）：161-164.

[8] 何洪军，张东宁，马传宝.机械手臂重复定位精度与运动速度测量实验研究[J].微特电机，2016，44(3): 35-37.

He H J，Zhang D N，Ma C B. Experiment study on the accuracy and speed of the mechanical arm movement based on actuating motor[J]. Small & Special Electrical Machines, 2016, 44(3):35-37.

[9] 李长春，胡炜，顾寄南，等. 上下料机器人视觉测量系统关键技术的研究[J]. 机床与液压，2018，46(15):68-71.

Li C C, Hu W, Gu J N, et al. Research on key technology of binocular vision measurement system of loading and unloading robot[J]. Machine Tool & Hydraulics, 2018，46(15):68-71.

[10]顾寄南，樊帆，关号兵，等. 上下料机器人视觉控制系统的研究[J]. 机械设计与制造，2013, (8):149-151.

Gu J N, Fan F, Guan H B, et al. Research on visual control system of updown material robot[J]. Machinery Design & Manufacture, 2013, ( 8): 149-151.

[11]李梦和,林川,潘盛辉. 基于双目视觉的矿井机车定位方法[J]. 煤矿机械,2012,33(4):217-219.

Li M H, Lin C, Pan S H. Positioning method of mine locomotive based on binocular vision[J]. Coal Mine Machinery, 2012, 33(4): 217-219.

[12]张驰,靳伍银,刘昊,等.基于双目视觉系统的三维目标识别研究[J].机床与液压,2010,38(1): 22-23,126.

Zhang C, Jin W Y, Liu H, et al. Identification technique for 3D target based on binocular visual system[J]. Machine Tool & Hydraulics, 2010, 38(1): 22-23,126.

服务与反馈：

【本网站尚未开通全文下载服务】【加入收藏】