Repair Maintenance

New PDF release: Condition Monitoring and Control for Intelligent

By Lihui Wang, Robert X Gao

ISBN-10: 1846282683

ISBN-13: 9781846282683

Modelling and keep watch over is a method used to allow decision-making in production techniques of curiosity to researchers and working towards engineering. tracking and keep an eye on for clever production should be received by means of researchers and graduate scholars in production and regulate and engineering, in addition to practicing engineers in industries akin to automobile and packaging production.

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Extra info for Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)

Example text

An overview of machining, as relevant to monitoring and control, was presented and introduced important aspects of metal removal processes, including force, torque, power, tool wear and breakage, vibrations and chatter, chip and burr formation, temperature generation, etc. Important issues in cutting process monitoring, including tool wear, tool breakage and chatter, were described. Examples included the chatter stability lobes for a reconfigurable machine tool, and a hybrid tool wear estimation method that combines direct (i.

1988, “Computer-assisted prediction of drill-failure using in-process measurements of thrust force,” ASME J. of Engineering for Industry, Vol. 110, May, pp. 192–200. , Smith, S. , 1990, “New NC Routines for Quality in Milling,” CIRP Annals, Vol. 39, pp. 517–521. , 1984, “Process Fault Detection Based on Modeling and Estimation Methods - A Survey,” Automatica, Vol. 20, No. 4, pp. 387–404. , Ulsoy, A. G. and C. L. Wu, 1996, “Feed, Speed, and Torque Controllers for Drilling,” ASME J. of Engineering for Industry, Vol.

J. of Machine Tools and Manufacture, Vol. 30, pp. 579. De Filippi, A. and R. Ippolito, 1969, “Adaptive Control in Turning: Cutting Forces and Tool Wear Relationships for P10, P20, P30 Carbides,” CIRP Annals, Vol. 17, pp. 377–379. Houshmand, A. A. and E. Kannatey-Asibu, 1989, “Statistical Process Control of Acoustic Emission for Cutting Tool Monitoring,” Mechanical Systems and Signal Processing, Vol. 3, No. 4, pp. 405–424. , 1978, “Flank wear model of cutting tools using control theory,” ASME J.

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Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing) by Lihui Wang, Robert X Gao


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