Combining Welding Expert Systems with Welding Databases to Improve Shipbuilding Production

1990 ◽  
Vol 6 (04) ◽  
pp. 232-240
Author(s):  
Hans H. Vanderverldt ◽  
Sterling Johnston ◽  
Jerald E. Jones ◽  
Dawn White ◽  
B. Cleveland
Keyword(s):  
Expert Systems ◽  
Vision System ◽  
Computer Software ◽  
Welding Process ◽  
Cost Savings ◽  
Welding Robot ◽  
Robotic Welding ◽  
Software Environment ◽  
Robot Welding ◽  
Welding Processes

Construction of a large ship requires many thousands of feet of welding. Whenever the welding process can be streamlined or automated, tremendous cost savings can be obtained. The WELDEXCELL system is a WELDing EXpert manufacturing CELL that provides computerized technical support information, off-line weld planning, and an integrated welding robot/welding system/vision system controller. The first of two subsystems, the Welding Job Planner (WJP) accomplishes off-line intelligent weld planning for both automated and manual welding processes. The second subsystem, the Welding Job Controller (WJC) provides a fully integrated hardware control environment with associated software for combined control of a welding robot, welding equipment, and a robotic vision system. In the WELDEXCELL system, a series of expert systems and databases have been combined in a new type of computer software environment called a blackboard. There are as many as 19 separate components of the Welding Job Planner subsystem of WELDEXCELL which fall into five interrelated functional groups. WELDEXCELL will be used by design engineers, welding engineers, mechanical engineers, and nondestructive testing (NDT) engineers for both manual welding and to interface to automated and robotic welding systems and vision systems. WELDEXCELL also includes the control system hardware and software to provide off-line intelligent adaptive control of the welding process itself. The development of WELDEXCELL is a multi-year effort involving a partnership of government, industry, university research, and technology transfer. The project has already generated new concepts with potential for future spin-off benefits. The ultimate payback in productivity will be large for the American welding, fabrication, manufacturing, and construction industries.

Welding Robot Welding Process Research and Development of Intelligent Technology

2013 ◽  
Vol 419 ◽  
pp. 774-777
Author(s):  
Ji Ming Yi ◽  
Min Han
Keyword(s):  
Vision System ◽  
Welding Process ◽  
Depth Information ◽  
Laser Sensor ◽  
Automatic Welding ◽  
Welding Robot ◽  
Existing Problems ◽  
Intelligent Technology ◽  
Welding Direction ◽  
Binocular Vision System

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.

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.

Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms

2013 ◽  
Vol 13 (4) ◽  
pp. 239-250 ◽  
Author(s):  
T. Kannan ◽  
N. Murugan ◽  
B. N. Sreeharan
Keyword(s):  
Arc Welding ◽  
Welding Process ◽  
Memetic Algorithms ◽  
Optimization Techniques ◽  
Low Carbon ◽  
Robotic Welding ◽  
Bead Width ◽  
Flux Cored Arc Welding ◽  
Arc Welding Process ◽  
Welding Processes

AbstractMost of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors.

scholarly journals A Mobile Robotic Welding Robot will be Verified both Theoretically and Empirically using AWS and ASTM Standards

2020 ◽  
Vol 8 (5) ◽  
pp. 5246-5251
Keyword(s):  
Weld Joint ◽  
Vertical Section ◽  
Welding Process ◽  
Movement Control ◽  
Cutting Edge ◽  
Welding Robot ◽  
Robotic Welding ◽  
Weld Joints ◽  
Welding Procedure ◽  
Welding System

Customary automated welding, basic in ventures, for example, car creation, gets unfeasible in enterprises that utilization unstructured assembling systems, for example, shipbuilding. This is expected to some extent to the size of the made frameworks and the size and areas of the weld. In these unstructured assembling conditions, the cutting edge for automated welding has generally comprised of a fixed-track framework with a mechanical welding carriage that works along the track. In any case, elective automated welding approaches that utilize advancements from the field of versatile mechanical autonomy are being sought after. One such model is the semiautonomous Versatile Robotic Welding System (MRWS). The MRWS is a lightweight versatile controller comprising of a two-degrees-of-opportunity portable stage and a threedegrees-of-opportunity burn controller. The MRWS is equipped for climbing ferrous surfaces by the utilization of changeless magnet tracks and situating the welding light along a weld joint. This framework is intended to automate the welding procedure for an assortment of weld joints with insignificant arrangement time. Arrangement comprises of putting the MRWS superficially to be welded and heading to the expected weld joint. So as to be used in a producing condition, such a framework must be confirmed for the welding procedure it is performing. This paper exhibits and confirms the MRWS as a legitimate other option for automated welding in unstructured situations. The confirmation procedure comprises of two parts: plan approval dependent on hypothetical investigation of the MRWS framework models to demonstrate the weld procedure necessities can be met, trailed by an exact confirmation dependent on AWS weld test particulars for a particular, normally utilized welding process. The plan approval centers around the two essential contrasts between the MRWS and demonstrated fixed-track motorized welding frameworks, burn movement control on a portable stage, and effect of the MRWS attractive feet on the weld process. The observational confirmation was performed on a vertical section weld on gentle steel with tough movement, 3G-PF

Expert Systems for Process Control Rooms

1986 ◽  
Vol 19 (9) ◽  
pp. 239-244 ◽  
Author(s):  
R A E Sargeant
Keyword(s):  
Expert System ◽  
Process Control ◽  
Expert Systems ◽  
Real Time ◽  
Large Scale ◽  
Oil And Gas ◽  
Computer Software ◽  
Cost Savings ◽  
Control Rooms ◽  
The Uk

An expert system is a computer software technique which is best (but not necessarily) implemented using languages and hardware systems from the artificial intelligence stable. The software technique offers the potential to encapsulate the experience and knowledge from many human experts and to effectively communicate it to other experts. The knowledge is mostly expressed in simple rules from which the expert system makes inferences that lead (to other rules and ultimately) to solutions to problems. The feasibility of building real time expert systems for applications in control rooms of process plants has been proven. Companies with sharp forward plans are investing in such systems now in order to obtain early benefits. The benefits can manifest themselves in improved security of production which is frequently directly quantifiable as cost savings. In 1984 the author led the team which provided one of the first practical demonstrations in the UK of a real time expert system for process control room applications. Here he reflects on practical issues of the pioneering exercise and some of the experience obtained whilst evaluating feasibility of large scale applications with European oil and gas companies. (Fig 1)

scholarly journals A Work on Welding Productivity and Economy for Smaw & Fcaw Processes

2020 ◽  
Vol 9 (5) ◽  
pp. 372-376
Keyword(s):  
Welding Process ◽  
Cost Savings ◽  
Careful Analysis ◽  
Vital Role ◽  
Shielded Metal Arc Welding ◽  
Production Studies ◽  
Metal Arc Welding ◽  
Service Conditions ◽  
Welding Processes ◽  
Selection Of

Every welding process possess its own advantages and limitations and selected after careful analysis and study of variables related to the process /product form and application criteria. Factors governing the selection of welding process includes the type of the product to be welded, material, joint geometry, field and service conditions, productivity expectations, capital cost, availability of resources, quality requirements, net cost savings etc. Currently in India, shielded metal arc welding is the major welding process dominates the welding industry and plays a key role compared to other welding processes. To achieve the higher productivity and cost savings, it is necessary to adopt suitable welding process, which can be superior to SMAW and can be justified fully in terms of productivity, quality and cost. Comparative production studies were conducted to establish the facts and to arrive conclusion. This concept will be applicable for pipe spools welding in a fabrication shop for welding groove and fillet weld joints in out of position. Process will be applied for large bore spools welding i.e. for Pipe diameter equivalent or greater than 168 mm OD and wall thickness of 7.11 mm and above. For study purpose only two welding processes were taken into account i.e. SMAW and FCAW. Since carbon steel pipe spools fabrication is 85% of the total scope, selection of the high productive and cost economic welding process plays a vital role.

Machine Vision Analysis of Welding Region and its Application to Seam Tracking in Arc Welding

1993 ◽  
Vol 207 (4) ◽  
pp. 275-283 ◽  
Author(s):  
Y Li ◽  
J E Middle
Keyword(s):  
Machine Vision ◽  
Arc Welding ◽  
Vision System ◽  
Low Cost ◽  
Gas Metal Arc Welding ◽  
Seam Tracking ◽  
Optical Parameters ◽  
Robotic Welding ◽  
Radiated Energy ◽  
Welding Processes

Unlike the application of machine vision in many other fields, there is a particular problem in developing machine vision for automated and robotic welding processes, because the disturbance of the arc light deteriorates the field to be viewed. This paper describes an analysis of the radiated energy from the weld pool, and based on this describes how vision sensing of the welding region may be improved. An approach using specified pattern parameters is described to evaluate the ability to recognize an acquired image under different conditions such as with vidicons or sensor devices, different welding variables and optical parameters. Based on analysis of radiation from the welding region, a satisfactory wavelength range for sensing the image of the weld region is proposed and proved by experimentation. Images of gas tungsten arc welding (GTAW) and gas metal arc welding (GMAW) regions have been modelled and successfully implemented for seam tracking control with a simultaneously developed low-cost vision system.

Binocular vision system for both weld pool and root gap in robot welding process

Sensor Review ◽  
2010 ◽  
Vol 30 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Hongbo Ma ◽  
Shanchun Wei ◽  
Tao Lin ◽  
Shanben Chen ◽  
Laiping Li
Keyword(s):  
Weld Pool ◽  
Binocular Vision ◽  
Vision System ◽  
Welding Process ◽  
Robot Welding ◽  
Binocular Vision System

Research on the Application of 3G Robotic Welding Guns to the Welding of Body-in-White Based on Delmia

2013 ◽  
Vol 756-759 ◽  
pp. 237-240
Author(s):  
Lei Liu ◽  
Huai Chu Dai ◽  
Ju Guang Lin
Keyword(s):  
High Performance ◽  
Welding Process ◽  
The Body ◽  
Servo Motor ◽  
Robotic Welding ◽  
Body Side ◽  
Robotic Simulation ◽  
Robot Welding ◽  
Body In White

3G welding gun is a new kind of welding guns which uses servo motor as the driving device. And it is of modularity, simplicity, robustness and high performance and has obvious advantages compared with traditional welding guns. This paper exploited robot payload check program to make comparison of the differences between OBARA welding guns and 3G welding guns. The results verified the advantages of 3G welding guns. A case study to the application of 3G welding guns to the body side was conducted, and Delmia, a 3D platform for robotic simulation and OLP, was used to create the robot welding programs. Finally, the timing chart of welding process by means of 3G welding guns was analyzed.

Vision Control System of Pipe Welding Robot

2013 ◽  
Vol 756-759 ◽  
pp. 509-513
Author(s):  
Li Fang Tang ◽  
Chuan Jin Wang
Keyword(s):  
Tracking System ◽  
Computer Software ◽  
Processing System ◽  
Welding Process ◽  
Good Effect ◽  
Welding Robot ◽  
Tracking Accuracy ◽  
Pipe Welding ◽  
Vision Control ◽  
Structure Light

The author of this article designs a non-track automatic pipe welding robot, which mainly studies the image processing system of visual welding tracking. With the requirement of various interference noise and tracking accuracy in the welding process, this study adopts structure light CCD sensor checking system and image acquisition card processing images of computer software, in which sample filtering, edge checking, contour tracking, laser centerlines selection and checking of its characteristics. This processing method has the advantages of good effect and speedy processing that is able to meet the timely requirement of tracking system.

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