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Advanced Intelligent Machine Adaptive Control System

Objective

Current machining technologies and practices have many inefficiencies. Numerous unpredictable machining variables often cause overload and unstable conditions and catastrophic damage to the machine tool system. In addition, this results in frequent disruptions in production that can often be excessive, leading to considerable losses in productivity, capital and energy resources. In an effort to prevent these occurrences, process planners, programmers and operators are forced to adopt a conservative approach and they program for the “worst case” scenarios - resulting in considerable inefficiency in machine tool utilization.

The objective of the project is to develop active, self-optimizing “intelligent” adaptive control systems which will continuously analyse a wide range of monitored parameters of the machining process and automatically adapt the machine operation in real-time to its optimal performance in order to account for continuously varying machining conditions, production disruptions and anomalies, plant performance variations and random changes in production plans. AIMACS will develop reliable techniques for monitoring the most critical machining parameters such as cutting load, vibrations and energy consumption. Based on this information and taking into account the costs for tools machining time, maintenance time, energy, etc. AIMACS will optimise in real time the overall production process based on productivity/cost criteria in order to ensure effective adaptive and sustainable machining

As a plug-and-produce system, AIMACS will be applicable to newly built machines and also for retrofit to the installed base of existing machines in the European manufacturing industry. Since the installed base of machines in Europe is estimated to be more than 1,000,000 machines, the impact of AIMACS on the efficiency, productivity and competitiveness of the European domestic manufacturing industry should be very substantial.

Coordinator

DMG ELECTRONICS GMBH

Address

Deckel Maho Strasse 1
87459 Pfronten

Germany

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 403 800

Administrative Contact

Peter Pruschek (Dr.)

Participants (9)

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OMAT Ltd

Israel

EU Contribution

€ 458 560

FIDIA SPA

Italy

EU Contribution

€ 260 743

UNIVERSITAET STUTTGART

Germany

EU Contribution

€ 413 000

WARTSILA FINLAND OY

Finland

EU Contribution

€ 203 340

FUNDACION TECNALIA RESEARCH & INNOVATION

Spain

EU Contribution

€ 285 230

ASCO INDUSTRIES N.V.

Belgium

EU Contribution

€ 231 900

AUDI HUNGARIA MOTOR Kft.

Hungary

EU Contribution

€ 197 880

ADVANCED CLEAN PRODUCTION INFORMATION TECHNOLOGY AKTIENGESELLSCHAFT

Germany

EU Contribution

€ 248 064

ISG-INDUSTRIELLE STEUERUNGSTECHNIK GMBH

Germany

EU Contribution

€ 257 380

Project information

Grant agreement ID: 260204

Status

Closed project

  • Start date

    1 August 2010

  • End date

    31 July 2013

Funded under:

FP7-NMP

  • Overall budget:

    € 4 482 574

  • EU contribution

    € 2 959 897

Coordinated by:

DMG ELECTRONICS GMBH

Germany