IMMP

Intelligent Micro-Manufacturing Processes

Coordinatore	Bilkent Üniversitesi    more  Organization address address: ESKISEHIR YOLU 8 KM city: ANKARA postcode: TR-06800 contact info Titolo: Prof. Nome: Abdullah Cognome: Atalar Email: send email Telefono: 903123000000 Fax: 903123000000
Nazionalità Coordinatore	Turkey [TR]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-RG
Funding Scheme	MC-IRG
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-12-01   -   2014-11-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	Nome Ente NON disponibile  Organization address address: ESKISEHIR YOLU 8 KM city: ANKARA postcode: TR-06800 contact info Titolo: Prof. Nome: Abdullah Cognome: Atalar Email: send email Telefono: 903123000000 Fax: 903123000000	TR (ANKARA)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'There is an increasing demand by medical, energy, commercial and aerospace applications for miniature parts with micro-scale features. Being a versatile way of fabricating micro-scale parts on a wide range of materials, mechanical micro-machining can effectively address the demand. In micro-machining, features are machined by mechanically removing material from the workpiece using micro-scale cutting tools (micro-endmills, micro-drills, micro-grinders) rotated with high speeds. To have a better control on dimensional accuracy, and to have savings in space, power and cost, micro-machining is performed on miniature machining centers (MMCs). Micro-machining cannot be utilized with its true potential today since the repeatability and efficiency of the micro-machining processes are limited due to the static and dynamic deflections (vibrations). The research objective of this proposal is to improve the accuracy and repeatability of mechanical micro-machining processes by incorporating model-based predictive control to MMCs. Model predictions will be used to drive the MMC actuators to minimize the static and dynamic deflections during micro-machining. The controller will calibrate the model parameters according to sensor measurements of tool deflection and cutting forces. The performance of the intelligent micro-machining process (IMMP) will be evaluated by fabricating micro-scale features on a wide range of materials. The subject of this proposal is novel since it will be the first attempt to perform research in application of model-based predictive control in mechanical micro-machining. If the project becomes successful, accurate and repeatable intelligent machining processes will be developed, and will be used for fabricating micro-scale parts.'