Towards Automatic Welding-Robot Programming Based on Product Model

2021 ◽  
pp. 174-181
Author(s):  
Ioan-Matei Sarivan ◽  
Ole Madsen ◽  
Brian Vejrum Waehrens
2013 ◽  
Vol 419 ◽  
pp. 774-777
Author(s):  
Ji Ming Yi ◽  
Min Han

The welding direction of robot and existing problems, the groove plate is difficult to realize automatic welding robot problem, methods using laser sensor and a binocular vision system combines, image and depth information extraction plate groove groove, realize accurate 3D reconstruction.


2020 ◽  
Vol 107 (sp1) ◽  
pp. 1
Author(s):  
Xiaobing Feng ◽  
Lisheng Gao ◽  
Wei Tian ◽  
Ran Wei ◽  
Zhengwei Wang ◽  
...  

Robotica ◽  
1997 ◽  
Vol 15 (1) ◽  
pp. 99-103 ◽  
Author(s):  
Tamio Arai ◽  
Toshiyuki Itoko ◽  
Hidetoshi Yago

A graphical robot programming system has been developed. This system with a graphical interface is user-friendly and easy-to-learn for low-skill users. It has been developed as a prototype system under a project by the Japan Robot Association (JARA) since 1994. The system runs on a personal computer and consists of a graphical user interface and an editing system. It is designed for programming an arc welding robot in small batch production and is expected to provide low-skill users with a means to use industrial robots with ease.


2021 ◽  
Vol 2 (Oktober) ◽  
pp. 12-21
Author(s):  
Ilham Rizqianto ◽  
Dedy Pradigdo ◽  
Ismanto Setyabudi

Abstract:  Tehnlogical advances to date have grown increasingly sophisticated technolgy, especially in robotic technogy which is currently developed to achieve work result that are make human work easier welding process with manual systems need to be switched to automatic systems. The mechanical concept of the arm that will be applied to Automatic Welding Carrier Machine by applying the mechanical concept of a 3D machine which is expected to increase mobility, working range of the tool as well as increasing the quality of automatic welding results. In this research, the method used is experimental research methods and simulations that aim to know the results of the analysis on the mechanics of the robot arm. The data generated after performing calculations with provide a load on the leadscrew of  the compressive stress that occurs i the leadscrew is , the voltage bending is  and the shear stress that occurs is , so that  the lead crew is said to be able to encourge maximum allowable amount of . The torque required by the motor drive to push the received load on the Z ( ) axis is equal to , then the selection of the nema23 stepper motor is stated very capable as a robotic arm mover because have torque . With the loading of the 2020 profile arm rod at  using ansys simulation, the maximum total deformation that may occur is , so that the 2020 profile rod can be said to be safe for use on Automatic Welding Carrier Machine.


2022 ◽  
Vol 355 ◽  
pp. 03014
Author(s):  
Sujie Zhang ◽  
Ming Deng ◽  
Xiaoyuan Xie

The quality of Tungsten Inert Gas welding is dependent on human supervision, which can’t suitable for automation. This study designed a model for assessing the tungsten inert gas welding quality with the potential of application in real-time. The model used the K-Nearest Neighborhood (KNN) algorithm, paired with images in the visible spectrum formed by high dynamic range camera. Firstly, projecting the image of weld defects in the training set into a two-dimensional space using multidimensional scaling (MDS), so similar weld defects was aggregated into blocks and distributed in hash, and among different weld defects has overlap. Secondly, establishing models including the KNN, CNN, SVM, CART and NB classification, to classify and recognize the weld defect images. The results show that the KNN model is the best, which has the recognition accuracy of 98%, and the average time of recognizing a single image of 33ms, and suitable for common hardware devices. It can be applied to the image recognition system of automatic welding robot to improve the intelligent level of welding robot.


2020 ◽  
Vol 106 (sp1) ◽  
pp. 609
Author(s):  
Xiaobing Feng ◽  
Wei Tian ◽  
Ran Wei ◽  
Baiwa Pan ◽  
Yong Chen ◽  
...  

2014 ◽  
Vol 940 ◽  
pp. 153-158
Author(s):  
Run Xin Qu ◽  
Yuan Yuan Zou ◽  
Xiao Wei An ◽  
Si Jun Zhu

Giant structure processes involve highly dangerous manual welding operations. aiming at the welding for giant structures, tankers and other large work pieces, a five degrees of freedom (DOF) gantry type automatic welding robot was developed which has our own property right. Forward/inverse kinematics for the mechanical structure is analyzed in which pose of the welding torch is defined as a free vector. Then kinematics equations were proposed for torch pose fitting. Finally, simulation results for robot kinematics analysis and torch pose fitting were also proposed with Matlab. The result not only proves the feasibility of torch pose fitting, but also provides a basis for further study on kinematic analysis, torch pose fitting and off-line programming about gantry type automatic welding robot.


2021 ◽  
Author(s):  
Yusen Geng ◽  
Yuankai Zhang ◽  
Xincheng Tian ◽  
Xiaorui Shi ◽  
Xiujing Wang ◽  
...  

Abstract At present, the operators needs to carry out complicated teaching and programming work on the welding path planning for the welding robot before welding the steel mesh. In this work, an automatic welding path planning method of steel mesh based on point cloud is proposed to simplify the complicated teaching and programming work in welding path planning. The point cloud model of steel mesh is obtained by three-dimensional vision structured light camera. Then we use the relevant point cloud processing algorithm to calculate the welding path of the steel mesh, and obtainthe 3D information of the welding path for the welding localization of the robot welding process. Experimental results show that the method can accurately realize the welding path planning of the steel mesh and accomplish the welding task without teaching and programming before welding, which improves the production efficiency.


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