Developments and Trends in Monitoring and Control of Machining Processes

Tönshoff, Hans Kurt; Wulfsberg, Jens P.; Kals, H.J.J.; König, Wilfried; Luttervelt, C.A. van

doi:10.1016/s0007-8506(07)60758-6

Cited by 212 publications

(35 citation statements)

References 15 publications

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“…Extensive background on monitoring can be found, e.g., in [124] [125] [126] [127] and [128]. In the CIRP-survey on developments and trends in control and monitoring of machining processes, the importance of sensor integration/fusion, sophisticated models, multimodel systems, and learning ability was also outlined [129]. The development of user-programmable, multipurpose, modular monitoring systems in manufacturing started in the early eighties [130] [131].…”

Section: Process Control Monitoring and Diagnosismentioning

confidence: 99%

Agent-Based Systems for Manufacturing

2006

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The emerging paradigm of agent-based computation has revolutionized the building of intelligent and decentralized systems. The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation of autonomous entities had to be tackled. In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. Special emphasis is laid on methodological issues and deployed industrial systems. After discussing open issues and strategic research directions, we conclude that the evolution of agent technologies and manufacturing will probably proceed hand in hand. The former can receive real challenges from the latter, which, in turn, will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.

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Section: Process Control Monitoring and Diagnosismentioning

confidence: 99%

Agent-Based Systems for Manufacturing

2006

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“…The fact that similar reviews were undertaken previously in 1995 by Byrne et al [2] in 1988 by Tonshoff et al [3] in 1983 by Tlusty & Andrews [4], and in 1976 by Micheletti et al [5] provides a measure of the desire that continues to exist to develop a technology for live feedback of tool cutting performance.…”

Section: Introductionmentioning

confidence: 91%

Comparison and analysis of audible sound energy emissions during single point machining of HSTS with PVD TiCN cutter insert across full tool life

Downey

O’Leary

Raghavendra

2014

Wear

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In precision engineering, tool wear affects the dimensional accuracy and surface finish of machined components. Currently, errors associated with tool wear remain uncompensated for and are usually only detected at the end of the machine cycle, by which time the product may be scrap. If real-time, accurate monitoring were available, machine parameters could be adjusted to compensate for tool wear thereby minimising waste. Experienced machinists in Schivo Precision have been able to detect a poorly performing cutting operation through the sound emitted from the machining centre during the various phases of the cutting cycle and, although not a precise science, appear capable of informally differentiating between a good process and a degraded one. In this article experimental work was undertaken on a single point machining operation whereby the sound energy emissions from the machine were logged and analysed for the full life of the tools. The experiments demonstrated consistent acoustic signatures, which are specific to the tool in a known good cutting state, and distinct, but also consistent sound energy signatures, in a known bad cutting state. The experimental measurements replicated the audible range of human hearing and sought to determine what encouraged experienced machinists to declare a machining process to be in a state of degradation.

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“…Likewise, an early review by Tlusty et al examined the role of cutting force and AE as a means for condition monitoring and adaptive control [6], and Tonshoff et al proposed techniques for condition monitoring strategies such as intelligent machining and multi-sensor systems [7]. One of the most comprehensive reviews of overall sensor technology and data processing techniques for automated machining was conducted by Byrne et al [8].…”

Section: Requirements For Sensor Technology At the Precision Scalementioning

confidence: 99%

Precision manufacturing process monitoring with acoustic emission

Lee

Hwang

Valente

et al. 2006

International Journal of Machine Tools and Manufacture

188

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Current demands in high-technology industries such as semiconductor, optics, MEMS, etc. have predicated the need for manufacturing processes that can fabricate increasingly smaller features reliably at very high tolerances. In situ monitoring systems that can be used to characterize, control, and improve the fabrication of these smaller features are therefore needed to meet increasing demands in precision and quality. This paper discusses the unique requirements of monitoring of precision manufacturing processes, and the suitability of acoustic emission (AE) as a monitoring technique at the precision scale. Details are then given on the use of AE sensor technology in the monitoring of precision manufacturing processes; grinding, chemical-mechanical planarization (CMP) and ultraprecision diamond turning in particular. q

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Developments and Trends in Monitoring and Control of Machining Processes

Cited by 212 publications

References 15 publications

Agent-Based Systems for Manufacturing

Agent-Based Systems for Manufacturing

Comparison and analysis of audible sound energy emissions during single point machining of HSTS with PVD TiCN cutter insert across full tool life

Precision manufacturing process monitoring with acoustic emission

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