A Service Reliability Assessment Method for the Rigidity-Flexibility Coupling Open Arc Welding Robot

2013 ◽  
Vol 365-366 ◽  
pp. 780-783 ◽  
Author(s):  
Xing Han ◽  
Chang Li ◽  
Xiao Gang Ma
Keyword(s):  
Arc Welding ◽  
Reliability Assessment ◽  
Welding Process ◽  
Mathematic Model ◽  
Monte Carlo Sampling ◽  
Assessment Method ◽  
Service Reliability ◽  
Virtual Model ◽  
Welding Robot ◽  
Stochastic Errors

The open arc welding robots have been used widely nowadays; however, the elastic deformations of every inner link inevitably affect the welding quality. In this paper, it proposes an effective method of service reliability assessment for the rigidity-flexibility coupling open arc welding robot. Firstly, a parametric virtual model of the robot is built in ADAMS/View-AutoFlex module. Secondly, the stochastic errors generated in the working process are simulated by a program created from pseudo-random numbers which have been written by multiplicative congruence method. Lastly, Monte Carlo sampling calculation is implemented for the virtual model, and large sample data of the dynamic characteristics in welding process are obtained and used to calculate the service reliability of the welding robot. This method includes simplicity (no need to solve complex mathematic model) and high accuracy which make it highly promising for application in mechanism design.

Rigidity-Flexibility Coupling Motion Simulation of the Open Arc Welding Robot in ADAMS

2013 ◽  
Vol 694-697 ◽  
pp. 1675-1678
Author(s):  
Chang Li ◽  
Xiao Gang Ma ◽  
Guang Bing Zhao
Keyword(s):  
Arc Welding ◽  
Welding Process ◽  
Mathematic Model ◽  
Robot Kinematics ◽  
Motion Simulation ◽  
Welding Robot ◽  
Design Quality ◽  
Elastic Deformations ◽  
Real Value ◽  
Coupling Motion

Considering the effects of mechanisms elastic deformations on the welding quality, this paper builds a rigidity-flexibility coupling parameterized virtual model of an open arc welding robot in ADAMS. Using this method, we can obtain the robot dynamic characters in welding process that approach the real value at utmost. The results show it is an effective way for improving the robot kinematics accuracy and design quality, including simplicity (no need to solve complex mathematic model) and high accuracy which make it highly promising for application.

Intelligentized Technologies for Welding Manufacturing

2013 ◽  
Vol 773-774 ◽  
pp. 725-731 ◽  
Author(s):  
Shan Ben Chen ◽  
Zhen Ye ◽  
Gu Fang
Keyword(s):  
Intelligent Control ◽  
Arc Welding ◽  
Welding Process ◽  
Dynamical Process ◽  
Control Methods ◽  
Welding Robot ◽  
Robotic Welding ◽  
Artificial Intelligent ◽  
Intelligent Computing ◽  
Robot Systems

This paper presents some newest and potential developments on artificial intelligent technologies for welding manufacturing process in Shanghai Jiao Tong University (SJTU), which contains multi-information acquirement and fusion processing of arc welding dynamical process; Intelligent computing for welding process; Intelligent control methods for welding process and quality control; artificial intelligent technologies for welding robot systems and robotic welding process; and some application in welding engineering. The ideas of intelligentized welding manufacturing technology (IWMT) and intelligentized welding manufacturing engineering (IWME) are presented in this paper for systematization of intending researches and applications on intelligentized technologies for modern welding manufacturing.

Intelligent Control of Arc Welding Dynamics during Robotic Welding Process

2010 ◽  
Vol 638-642 ◽  
pp. 3751-3756 ◽  
Author(s):  
San Ben Chen ◽  
W.Y. Wang ◽  
H.B. Ma
Keyword(s):  
Weld Pool ◽  
Intelligent Control ◽  
Arc Welding ◽  
Visual Information ◽  
Control Strategies ◽  
Welding Process ◽  
Control Methods ◽  
Welding Robot ◽  
Robotic Welding ◽  
Pulsed Gtaw

This paper presents a sequential research works on visual information acquirement and intelligent control of arc weld pool dynamics and seam formation during pulsed GTAW (Gas Tungsten Arc Welding) in robotic welding process. The visual information acquirement methods are focused in computer vision sensing, image processing and characteristic extraction of the weld pool surface from the single-item pool images by particular algorithms for robotic welding process. Based on acquired visual characteristics of weld pool and established neural network and knowledge models for predicting dynamical characteristics of weld pool during robotic welding, corresponding control methods, such adaptive control, self-learning and other composite intelligent control strategies are developed to control welding pool dynamics during pulsed GTAW by welding robot. Some experiments and applications of intelligent control methods in welding robot systems are shown in the paper.

Motion Reliability Analysis of the PUMA560 Series Mechanism

2013 ◽  
Vol 365-366 ◽  
pp. 913-916
Author(s):  
Chang Li ◽  
Xiao Gang Ma ◽  
Xing Han ◽  
Gang Bing Zhao
Keyword(s):  
Reliability Analysis ◽  
Random Number ◽  
Mathematic Model ◽  
High Accuracy ◽  
Error Distribution ◽  
Virtual Model ◽  
Analysis Program ◽  
Mechanism Model ◽  
Stochastic Error ◽  
Stochastic Errors

In this paper, we report an effective method for motion reliability analysis of the PUMA560 series mechanism. It firstly builds a Monte Carlo parameterized 3-D virtual model of this mechanism in ADAMS, and uses VC++ to program a pseudo-random number subroutine function that conforms to normal distribution and user defining function to simulate the stochastic error distribution of the mechanism, and a universal reliability analysis program of the PUMA560 series mechanism is then developed. After multiple virtual tests on this parameterized mechanism model, a large mount of test data are obtained and statistically analyzed to calculate the motion reliability; this can evaluate the influence of different stochastic errors on the mechanism dynamic characteristics. The advantages of this new method include simplicity (no need to solve complex mathematic model) and high accuracy which make it highly promising for application in mechanism design.

The Determination of Noxes Emissions in Case of Manual Arc Welding Process with Coated Electrode

2018 ◽  
Vol 69 (7) ◽  
pp. 1826-1829
Author(s):  
Claudiu Babis ◽  
Augustin Semenescu ◽  
Oana Roxana Chivu ◽  
Maria Alina Gligor ◽  
Gabriel Iacobescu ◽  
...  
Keyword(s):  
Production System ◽  
Arc Welding ◽  
Welding Process ◽  
Practical Method ◽  
Machine Building ◽  
Short Exposure ◽  
Metal Bath ◽  
Coated Electrode ◽  
Manual Arc Welding ◽  
Arc Welding Process

The occupational risk assessment of a machine building company must cover each activity and workstation, taking into account each component of the production system (work system), each workload, work equipment and the work environment. This assessment is an extremely complicated and complex issue since the production system of such an enterprise is particularly complex and complicated. Welding assembly is a highly polluting technology process, especially of the atmosphere and soil. The formation of gases in the welding process is the result of burning of the electrodes, powders, forming the molten metal bath and making the weld seam. Welding operators are exposed to smoke and toxic gases resulting from the welding process, which can in many cases be hazardous to health. Many acute intoxications that may be caused by excessive exposure to or short exposure to smoke and gas resulting from the welding process have been studied over time. In the paper are presented the elements of risk related to the welding process and the most widespread occupational diseases that can occur in the ranges of the welding operators. The following are presented the noxious emissions from welding and are determined by a practical method the emission of noxious at welding deposition of a welding sample, using the manual arc welding process with coated electrode.

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