A novel approach for design optimisation of radial active magnetic bearing

ABSTRACT

The purpose of this research is to demonstrate the use of a new and highly efficient population-based algorithm, known as Heat Transfer Search (HTS), for optimisation of an active magnetic bearing (AMB) system. In this research paper, the HTS algorithm is employed to minimise the overall bearing volume, considering turns per pole pair, the maximum required current, pole width, and coil length as the design variables. Constraints are imposed on the maximum flux density, current density, winding space, and maximum magneto-motive force. It is found that, for the operating conditions considered herein, the Heat Transfer Search algorithm yields around 23% lower bearing volume as compared to that obtained using more popular optimisation techniques such as Genetic Algorithms (GA) and Pattern Search (PS). Finally, a comparative study on the impact of magnetic core material presented herein reveals that Supermendur yields the best results. This is the first attempt to integrate the impact of magnetic core material on the optimisation of the AMB system.

KEYWORDS:

• Active magnetic bearing
• optimisation
• heat transfer search algorithm
• bearing volume

Abbreviation

Radial Active Magnetic Bearing	=	RAMB
Heat Transfer Search	=	HTS
Magneto Motive Force	=	MMF
Genetic Algorithm	=	GA
Pattern Search.	=	PS

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Vinay Kumar Yadav

Vinay Kumar Yadav is a Research Scholar in the Mechanical Engineering Department at the National Institute of Technology (an Institute of National Importance as per the Parliament Act) in Kurukshetra, Haryana, India. His research interests include active magnetic bearings, optimisation methods, etc.

Punit Kumar

Punit Kumar is working as a Professor in the Mechanical Engineering Department at the National Institute of Technology (an Institute of National Importance as per Parliament Act) in Kurukshetra, Haryana, India. He has more than 80 research papers to his credit, published in highly reputed international journals and conference proceedings. He acted as an editor and peer reviewer for international journals, conferences, and short-term training programs. He delivered many expert lectures and participated in panel discussions. His specific areas of interest are tribology, electrohydrodynamic lubrication, magnetic bearings, rheology of lubricants, mathematical modelling and simulation, high-velocity impact analysis, powder metallurgy, etc.

Gian Bhushan

Gian Bhushan is working as a Professor in the Mechanical Engineering Department at the National Institute of Technology (an Institute of National Importance as per Parliament Act) in Kurukshetra, Haryana, India. He has more than 120 research papers to his credit, published in highly reputed international journals and conference proceedings. He acted as an editor and peer reviewer for international journals, conferences, and short-term training programs. He delivered many expert lectures and participated in panel discussions. His specific areas of interest are tribology, fluid engineering, CAE, etc.