On-line control of manufacturing systems represented as timed event graphs

Author(s):  
A. di Febbraro ◽  
D. Giglio ◽  
B. Minciardi ◽  
S. Sacone
Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 537
Author(s):  
Alain Gil Del Val ◽  
Fernando Veiga ◽  
Mariluz Penalva ◽  
Miguel Arizmendi

Automotive, railway and aerospace sectors require a high level of quality on the thread profiles in their manufacturing systems knowing that the tapping process is a complex manufacturing process and the last operation in a manufacturing cell. Therefore, a multivariate statistical process control chart, for each tap, is presented based on the principal components of the torque signal directly measured from spindle motor drive to diagnosis the thread profile quality. This on-line multivariate control chart has implemented an alarm to avoid defected screw threads (oversized). Therefore, it could work automatically without any operator intervention assessing the thread quality and the safety is guaranteed during the tapping process.


Author(s):  
E T Ososanya ◽  
I T Franks

Computer technology has given manufacturers the opportunity to monitor, on-line and in real-time, a wide variety of manufacturing systems. Such monitoring systems have considerable potential for expansion and development but need to take account of the special characteristics of particular manufacturing systems and how the information is to be used to best effect. This paper outlines the use of monitoring in the broad context of manufacturing plant operations and describes the design of a development system that will facilitate research into the effective application and improvement of monitoring systems.


Author(s):  
Yaoyao F. Zhao ◽  
Frederick M. Proctor ◽  
John A. Horst ◽  
Xun Xu

Machining process planning and measurement process planning have long received research attention from industry and academia. Machining and measurement process automation is well established for mass production in today’s manufacturing systems. However, over the years manufacturing systems have evolved in response to many external drivers including the introduction of new manufacturing technologies and materials, the constant evolution of new products and the increased emphasis on quality as well as the escalating global competition and pressing need for responsiveness, agility and adaptability. These external drivers compel the realization of cognitive manufacturing, in which machining and measurement are merged together to form a more informed, more flexible, and more controlled manufacturing environment. In this way, when unforeseen changes or significant alternations happen, machining process planning systems can receive on-line measurement results, make decisions, and adjust machining operations accordingly in real-time. This paper presents a new paradigm of process planning research and outlines the way to reach cognitive manufacturing. An integrated machining and measurement process planning prototype system has been developed and tested with case studies.


Author(s):  
Marius C. Barbu ◽  
Jörg Hasener ◽  
Gregor Bernardy

The fast development of the wood-based panels industry during the last decades resulted in a substantially increased production capacity of manufacturing lines. The utilization of advanced manufacturing systems created a large output of different panel types with a production of more than 1,000 m3 per day on at least 300 days within a year. Therefore, it is important to take into account the new requirements for an on-line control of the manufacturing process. Only on-line Non-Destructive Testing (NDT) technologies are able to survey, detect, and forecast the quality of the raw materials, level of production parameters, and development of the panel properties. Main parameters like moisture content, resination level, mat area weight, thickness, and density profile influence the final properties of the panels. For over a decade there has been no other choice to control these and other process parameters than NDT methods using microwave (water content), IR (moisture and color), X-ray (mat and board area weight and density profile), ultrasound (blisters or density variation), etc. The determination of the effective resin content on the wood particle or the density, temperature, and moisture development during the hot pressing are further requirements for the future production units. The on-line measurement of free formaldehyde remaining after resin curing and other volatile substances from wood and resin seems to be a further subject of major interest. The intelligent implementation and integration, use, and understanding of on-line NDT methods in wood panel manufacturing is a big challenge that includes a better understanding of the overall process and its limits, an updated state of the art of knowledge, as well as an open and continuous dialog between the equipment producers, board manufactures, and users that could be another important key for the development of an environmentally friendly modern wood-based panel industry in the world.


AI Magazine ◽  
2013 ◽  
Vol 34 (3) ◽  
Author(s):  
Lara S. Crawford

A recent trend in intelligent machines and manufacturing has been toward reconfigurable manufacturing systems, which move away from the idea of a fixed factory line executing an unchanging set of operations, and toward the goal of an adaptable factory structure. The logical next challenge in this area is that of on-line reconfigurability. With this capability, machines can reconfigure while running, enable or disable capabilities in real time, and respond quickly to changes in the system or the environment (including faults). We propose an approach to achieving on-line reconfigurability based on a high level of system modularity supported by integrated, model-based planning and control software. Our software capitalizes on many advanced techniques from the artificial intelligence research community, particularly in model-based domain-independent planning and scheduling, heuristic search, and temporal resource reasoning. We describe the implementation of this design in a prototype highly modular, parallel printing system.


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