dynamic health monitoring in micro turning process: a multi-sensory approach

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Soumen Mandal Nagahanumaiah Nagahanumaiah Dynamic health monitoring in micro turning process A multi-sensory approach The book deals with dynamic health monitoring of micro turning process using a combination of methodologies which ensures accuracy of the process, prevention of tool breakage during machining and enhancement of surface integrity of machined profile. In order to achieve the desired objective, a pattern recognition based algorithm has been developed which effectively finds the machine stiffness and material constants dynamically. Subsequently, photoelastic methodology has been implemented to evaluate the shear stress generated on the tool face. Fiber Bragg grating sensor was used to dynamically assess the temperature induced at the tool tip of the micro turning tool during machining and the surface roughness of machined surface was related with the temperature induced at the tool tip during machining. It was concluded that the combination of these methodologies can effectively eradicate the existing problems, challenges and limitations persistent in micro turning process. Soumen Mandal Soumen Mandal obtained his B.Tech degree from KIIT University Bhubaneswar and a subsequent M.Tech in Mechatronics from AcSIR India. He is presently working as a Scientist (Trainee) at Council for Scientific and Industrial research and possess expertise in micro nano systems technology. He is a fellow of Consultancy Development Center, Govt of India 978-3-659-28770-1 Health monitoring in micro turning Mandal, Nagahanumaiah

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Soumen MandalNagahanumaiah Nagahanumaiah

Dynamic health monitoringin micro turning process

A multi-sensory approach

The book deals with dynamic health monitoring of micro turning processusing a combination of methodologies which ensures accuracy of theprocess, prevention of tool breakage during machining and enhancementof surface integrity of machined profile. In order to achieve the desiredobjective, a pattern recognition based algorithm has been developedwhich effectively finds the machine stiffness and material constantsdynamically. Subsequently, photoelastic methodology has beenimplemented to evaluate the shear stress generated on the tool face. FiberBragg grating sensor was used to dynamically assess the temperatureinduced at the tool tip of the micro turning tool during machining and thesurface roughness of machined surface was related with the temperatureinduced at the tool tip during machining. It was concluded that thecombination of these methodologies can effectively eradicate the existingproblems, challenges and limitations persistent in micro turning process.

Soumen Mandal

Soumen Mandal obtained his B.Tech degree fromKIIT University Bhubaneswar and a subsequentM.Tech in Mechatronics from AcSIR India. He ispresently working as a Scientist (Trainee) at Councilfor Scientific and Industrial research and possessexpertise in micro nano systems technology. He is afellow of Consultancy Development Center, Govt ofIndia

978-3-659-28770-1

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