Design of Fuzzy Logic-Based Controller in Roll Grinding System With Double Regenerative Chatter

Yuan, Lihong; Keskinen, Erno

doi:10.1115/imece2004-62345

Cited by 3 publications

(3 citation statements)

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“…These indicated the effectiveness of the intelligent system in improving the productivity and enhancing the reliability of grinding processes in practical industrial applications. Other researchers such as Mise et al (1994) and Yuan et al (2004) have also used fuzzy logic technique in grinding processes.…”

Section: Figurementioning

confidence: 99%

Survey on various control techniques in micro grinding processes

Tang

Jackson

2009

IJNM

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Due to the highly demanding geometric accuracy and surface finish for many modern products, grinding processes have been extensively used in manufacturing industry. However, it is also well accepted that grinding is one of the most complicated machining processes due to the high non-linearities, intrinsic uncertainties and time-varying characteristics. Multiple challenging problems exist in the process that limits its overall quality and production in practice. With the increasing demands for higher part geometry accuracy, better surface integrity, more productivity and other desired product parameters (e.g., minimisation of subsurface micro-damage) with less operator intervention, various control methods have been studied and implemented to control position, velocity, force, power, temperature and the material removal rate (MRR) during the grinding process, in order to achieve the desired system performance within certain cost/time. This paper reviews different control strategies in order to provide a guideline for academic researchers and industrial practitioners in improving the final product quality with increased possible process flexibility.

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Section: Figurementioning

confidence: 99%

Survey on various control techniques in micro grinding processes

Tang

Jackson

2009

IJNM

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“…Yuan et al [8] tested in simulation the application of a fuzzy-logic controller (FLC) in roll grinding system, coping with the double regeneration problem. The control system showed good vibration reduction compared to a conventional control method.…”

Section: Nomenclature H0mentioning

confidence: 99%

“…det( ) 0 + = LI (8) Eq. ( 8) can be solved with respect to different combinations of process parameters, having kept the others constant, so that different stability charts can be obtained.…”

Section: H(ω))mentioning

confidence: 99%