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  • Articles  (35)
  • Springer  (35)
  • 2000-2004  (12)
  • 1995-1999  (23)
  • Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics  (35)
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  • Articles  (35)
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  • 1
    Electronic Resource
    Electronic Resource
    The state of the art in intelligent real-time FMS control: a comprehensive survey (1996)
    Springer
    Journal of intelligent manufacturing 7 (1996), S. 441-455 
    Details
    ISSN: 1572-8145
    Keywords: Flexible manufacturing systems ; FMS control ; survey
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Flexible manufacturing systems (FMS) have been developed with the hope that they would provide a means to tackle a threefold challenge — better quality, lower cost and shorter lead times — by integrating machine tools, robots, material handling and storage systems, and computers. Control of the integrated system presented a new set of problems as well as challenges, which have been receiving considerable attention from the academic community as well as from industrial system users. Intelligent control, which involves using computers to assist in decision making at various stages of the control process, has been advocated by many researchers as a possible avenue to reach a solution to these problems. This paper provides a review of the state of the art in intelligent control of FMS, in an attempt to supplement earlier general reviews via a more focused perspective. The principles of several techniques, namely simulation, knowledge based, example based, petri nets, and hybrid approaches are briefly introduced, and publications are reviewed, followed by discussions ontheir potential. Suggestions for further research and development are also enumerated.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00122834
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  • 2
    Electronic Resource
    Electronic Resource
    Intelligent scheduling and control of rail-guided vehicles and load/unload operations in a flexible manufacturing system (1999)
    Springer
    Journal of intelligent manufacturing 10 (1999), S. 405-421 
    Details
    ISSN: 1572-8145
    Keywords: Flexible manufacturing systems control ; intelligent manufacturing ; neural networks ; simulation ; material handling systems ; automated guided vehicles
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract This paper presents a framework of intelligent manufacturing scheduling and control with specific applications to operations of rail-guided vehicle systems (RGVS). A RGVS control architecture is discussed with a focus on a simulated experiment in operations of the load/unload area of a real industrial flexible manufacturing system (FMS). In the operation stage of a material handling system (MHS), all shop floor data are subject to change as time goes. These data can be collected using a data acquisition device and stored in a dynamic database. The RGVS simulator used in this experimental study is designed to incorporate some possible situations representing existing material handling scenarios in order to evaluate alternative control policies. At the development stage of the controller, all possible combinations of most commonly encountered scenarios such as RGV failures, production schedule changes, machine breakdowns, and rush orders are to be simulated and corresponding results collected. The data are then structured into training data pairs to properly train an artificial neural network. The neural network, trained by using input/output data sets obtained from a number of simulation runs, will then provide control strategy recommendations. At the application stage, whenever an abnormal scenario occurs, a pre-processor will be activated to pre-screen and prepare an input vector for the trained neural network. If such an abnormal scenario falls outside the existing domain of data sets employed to train the neural network, as judged by the MHS supervisory controller, an off-line training module will be activated to eventually update the neural network. The recommended control strategies will be transmitted to the MHS control for real-time execution. If there is no further abnormal event detected, the dynamic data base (DDB) module simply continues to monitor the MHS activities. The proposed MHS control system combines the features of example based neural network technology and simulation modeling for true intelligent, on-line, pseudo real-time control. Not only will the system assure that feasible material handling control actions be taken, but also it will implement better control decisions through continuous learning from experiences captured as the operation time of the MHS accumulates.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008919013557
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  • 3
    Electronic Resource
    Electronic Resource
    A framework for intelligent design of manufacturing cells (1995)
    Springer
    Journal of intelligent manufacturing 6 (1995), S. 175-190 
    Details
    ISSN: 1572-8145
    Keywords: Concurrent engineering ; cell design ; cell control ; simulation ; knowledge-based expert system ; neural networks
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract One of the major thrusts of ‘agile/lean/responsive’ manufacturing strategies of the twentyfirst century is to introduce advanced information technology into manufacturing. This paper presents a framework for robust manufacturing system design with the integration of simulation, neural networks and knowledge-based expert system tools. An operation/ cost-driven cell design methodology was applied to concurrently consider cell physical design and the complexity of cell control functions. Simulation was exercised to estimate performance measures based on input parameters and given cell configurations. A rulebased expert system was employed to store the acquired expert knowledge regarding the relation between cell control complexities, cost of cell controls, performance measures and cell configuration. Neural networks were applied to predict the cell design configuration and corresponding complexities of cell control functions. Training of neural networks was performed with both forward and backward methods by using the same pair of data sets. Hence, trained neural networks will be able to predict either input or output parameters. This innovative new design methodology was illustrated via a successful implementation exercise resulting in actually acquiring an automated cell at industrial settings. The experience learned from this exercise indicates that the proposed design methodology works well as an effective decision support system for cell designers and the management in determining appropriate cell configuration and cell control functions at the design stage.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00171446
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  • 4
    Electronic Resource
    Electronic Resource
    Real-time control and scheduling of flexible manufacturing systems: An ordinal optimisation based approach (1998)
    Springer
    The international journal of advanced manufacturing technology 14 (1998), S. 775-786 
    Details
    ISSN: 1433-3015
    Keywords: Coloured Petri net ; Flexible manufacturing system ; Ordinal optimisation ; Scheduling and control ; Standard clock
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract A unique real-time control and scheduling framework for flexible manufacturing systems (FMS) is presented in this paper. The framework enables the adoption of different scheduling policies for short-term intervals when responding to the dynamic changes of the FMS shop floor status. Each time when rescheduling is called for, standard clock (SC) simulation is first employed to evaluate the performance of a set of scheduling policies for a short planning horizon. The ordinal optimisation concept is then used to choose quickly the most desirable scheduling policy. Owing to the use of the standard clock technique and the ordinal optimisation concept, this framework accomplishes a dramatic reduction in the time needed for decision making, the essential requirement for real-time control. It is also found that as the scale of the problem increases, the decision-making time increases linearly rather than exponentially. These two important features indicate that this framework has the potential for being successfully implemented in real FMS settings. Although the framework cannot always guarantee the global “best” performance, the case study indicates that satisfactory performance results are always achieved by using this framework.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01438229
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  • 5
    Electronic Resource
    Electronic Resource
    Vision-based automated inspection system in computer integrated manufacturing (1996)
    Springer
    The international journal of advanced manufacturing technology 11 (1996), S. 206-213 
    Details
    ISSN: 1433-3015
    Keywords: Automated inspection ; Computer integrated manufacturing ; Machine vision ; Pattern recognition ; Quality control
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract The industrial application of an automated inspection system that aims to enhance the efficiency and flexibility of a computer integrated manufacturing system (CIMS) is proposed in this paper. A machine-vision-based approach is adopted to utilise its advantages of measurement flexibility, high resolution, and non-destruction. With a closed-loop feedback control architecture, the inspection procedures are fully integrated with the production process to detect and to recover abnormal operations in a real-time mode. Implementation of such a system at a physical shop floor for socket inspection is presented as an example.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01351326
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  • 6
    Electronic Resource
    Electronic Resource
    Fracture toughness of ceramics and semi-brittle alloys using a miniaturized disk-bend test (2000)
    Springer
    Materials research innovations 3 (2000), S. 250-262 
    Details
    ISSN: 1433-075X
    Keywords: Key words Small-specimen testing ; Controlled-flaw method ; Fracture toughness ; Brittle materials ; Finite element analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: ∞ is the crack resistance at ”infinite” crack length. It is convincingly shown that this so-called R-curve equation correctly predicts K∞, which is comparable to the conventionally measured Mode I plain-strain fracture toughness, KIc, of the same material. The fundamental constants in the fracture-mechanics-based equations are discussed, emphasizing the aspects pertinent to the small specimens used in the MDBT. Results are presented on 8 materials: ZnS, glass-ceramic, Si3N4, Ti5Si3, SiC, Ni3Ge, NiAl and Ti-46.5A1-2.1Cr-3.0Nb-0.2W. All are brittle except for the latter two, which undergo slight plastic deformation before fracturing. The resulting values of K∞ are in excellent agreement with published values derived from conventional measurements, providing considerable confidence in the method. where Q is a constant and K∞ is the crack resistance at ”infinite” crack length. It is convincingly shown that this so-called R-curve equation correctly predicts K∞, which is comparable to the conventionally measured Mode I plain-strain fracture toughness, KIc, of the same material. The fundamental constants in the fracture-mechanics-based equations are discussed, emphasizing the aspects pertinent to the small specimens used in the MDBT. Results are presented on 8 materials: ZnS, glass-ceramic, Si3N4, Ti5Si3, SiC, Ni3Ge, NiAl and Ti-46.5A1-2.1Cr-3.0Nb-0.2W. All are brittle except for the latter two, which undergo slight plastic deformation before fracturing. The resulting values of K∞ are in excellent agreement with published values derived from conventional measurements, providing considerable confidence in the method.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/PL00010875
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  • 7
    Electronic Resource
    Electronic Resource
    Study of transient photoconductivity of GaN epilayer grown by metalorganic chemical vapor deposition (1998)
    Springer
    Applied physics 67 (1998), S. 567-570 
    Details
    ISSN: 1432-0630
    Keywords: PACS: 71.55.E; 72.40
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s003390050823
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  • 8
    Electronic Resource
    Electronic Resource
    Concurrent design of manufacturing cell and control functions: A neural network approach (1995)
    Springer
    The international journal of advanced manufacturing technology 10 (1995), S. 118-130 
    Details
    ISSN: 1433-3015
    Keywords: Cell Control ; Cell Design ; Concurrent Engineering
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract This paper presents a neural network based decision support system (DSS) for use in concurrently determining cell configuration, operation plans, and complexity requirements of cell control functions. Advanced simulators and neural network technology are used in developing the DSS. Simulation experiments were conducted with many possible combinations of design changes to generate training pairs for a neural network. Complexity of cell control functions required by each design option was assessed, based on operational requirements, and was used to train another neural net. Once both neural networks are properly trained, one network can be used to predict the cell design configuration given a set of desirable cell performance measures, while the other network can be used to identify complexity requirements of the cell control functions by using the output provided by the first network as input to the second neural net. An operation-driven cell design methodology was applied to sequentially predict requirements of both cell configuration and cell control functions from the trained neural networks. This innovative new design methodology was illustrated via a successful implementation exercise in acquiring a real automated manufacturing cell at industrial settings. The exercise proves that such a DSS serves well as an effective tool for cell designers and the management in determining appropriate cell configuration and cell control functions at the design stage.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01179280
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  • 9
    Electronic Resource
    Electronic Resource
    Guest editorial (1998)
    Springer
    The international journal of advanced manufacturing technology 14 (1998), S. 693-693 
    Details
    ISSN: 1433-3015
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01438221
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  • 10
    Electronic Resource
    Electronic Resource
    CMM Probing Accessibility in a Single Slot (1999)
    Springer
    The international journal of advanced manufacturing technology 15 (1999), S. 261-267 
    Details
    ISSN: 1433-3015
    Keywords: Key words.Accessibility; Coordinate measuring machines; Probe; Slot
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: This study presents a novel mathematical method for resolving the accessibility of a through slot when using coordinate measuring machines. The proposed method considers the actual shape of a probe consisting of a motor column, a stylus, and a probe tip. Also derived herein is a mathematical method to derive the feasible probe orientation of the measurement point in the bottom of a slot using a geometrical relationship between the probe and the slot.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001700050065
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