SOMMACT

SELF OPTIMISING MEASURING MACHINE TOOLS

 Coordinatore ALESAMONTI SRL 

 Organization address address: Via Oltrona 28
city: BARASSO
postcode: 21020

contact info
Titolo: Dr.
Nome: Gianfranco
Cognome: Malagola
Email: send email
Telefono: 0039-0332-731060
Fax: 0039-0332-730028

 Nazionalità Coordinatore Italy [IT]
 Sito del progetto http://www.sommact.eu
 Totale costo 5˙210˙324 €
 EC contributo 3˙668˙700 €
 Programma FP7-NMP
Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies
 Code Call FP7-NMP-2008-SMALL-2
 Funding Scheme CP-FP
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-09-01   -   2012-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    ALESAMONTI SRL

 Organization address address: Via Oltrona 28
city: BARASSO
postcode: 21020

contact info
Titolo: Dr.
Nome: Gianfranco
Cognome: Malagola
Email: send email
Telefono: 0039-0332-731060
Fax: 0039-0332-730028

IT (BARASSO) coordinator 970˙088.00
2    ISTITUTO NAZIONALE DI RICERCA METROLOGICA

 Organization address address: STRADA DELLE CACCE 91
city: TORINO
postcode: 10135

contact info
Titolo: Dr.
Nome: Paolo Antonio
Cognome: Mastroeni
Email: send email
Telefono: -3919513
Fax: -346356

IT (TORINO) participant 536˙838.00
3    THE UNIVERSITY OF HUDDERSFIELD

 Organization address address: Queensgate
city: HUDDERSFIELD
postcode: HD13DH

contact info
Titolo: Ms.
Nome: Denise
Cognome: Ogden
Email: send email
Telefono: -474632
Fax: -474122

UK (HUDDERSFIELD) participant 388˙500.00
4    IBS PRECISION ENGINEERING BV

 Organization address address: Esp 201
city: EINDHOVEN
postcode: 5633AD

contact info
Titolo: Ms.
Nome: Franciet
Cognome: Van Der Bij
Email: send email
Telefono: +31 040 2901270
Fax: +31 040 2901279

NL (EINDHOVEN) participant 362˙622.00
5    SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA (SUPSI)

 Organization address address: STABILE LE GERRE
city: MANNO
postcode: 6928

contact info
Titolo: Dr.
Nome: Diego
Cognome: Rovere
Email: send email
Telefono: 0041 58 6666615
Fax: 0041-58-6666611

CH (MANNO) participant 349˙400.00
6    INGENIERIA Y SERVICIOS DE METROLOGIA TRIDIMENSIONAL SL

 Organization address city: GIJON
postcode: 33203

contact info
Titolo: Mr.
Nome: Josè Antonio
Cognome: Gonzales Baizàn
Email: send email
Telefono: 0034-984194467
Fax: 0034-985091213

ES (GIJON) participant 332˙000.00
7    TECHNOLOGY TRANSFER SYSTEM S.R.L.

 Organization address address: Largo Caleotto 1
city: LECCO LC
postcode: 23900

contact info
Titolo: Dr.
Nome: Paolo
Cognome: Pedrazzoli
Email: send email
Telefono: 0039 02 2360544
Fax: -0039 02 2367030

IT (LECCO LC) participant 284˙000.00
8    FIDIA SPA

 Organization address address: Corso Lombardia 11
city: SAN MAURO TORINESE
postcode: 10099

contact info
Titolo: Ms.
Nome: Paola
Cognome: Gariglio
Email: send email
Telefono: 0039-011-2227111
Fax: 0039-011-2238202

IT (SAN MAURO TORINESE) participant 196˙384.00
9    ASSOCIAZIONE PICCOLE E MEDIE INDUSTRIE DELLA PROVINCIA DI VARESE

 Organization address address: Via Milano 16
city: VARESE
postcode: 21100

contact info
Titolo: Dr.
Nome: Marco
Cognome: Praderio
Email: send email
Telefono: -830493
Fax: -831193

IT (VARESE) participant 84˙000.00
10    KOVOSVIT MAS AS

 Organization address address: Namesti Tomase Bati 419
city: SEZIMOVO USTI
postcode: 391 02

contact info
Titolo: Mr.
Nome: Jan
Cognome: Vyhlídka
Email: send email
Telefono: -381632386
Fax: -381634378

CZ (SEZIMOVO USTI) participant 62˙568.00
11    WEISS GMBH SONDERMASCHINENTECHNIK

 Organization address address: Siemensstrasse 17
city: BUCHEN
postcode: 74722

contact info
Titolo: Mr.
Nome: Johannes
Cognome: Jakob
Email: send email
Telefono: -527122
Fax: -15382

DE (BUCHEN) participant 61˙800.00
12    Praezisions-Werkzeug- und Formenbau HAVLAT GmbH

 Organization address address: Spitzkunnersdorfer Strasse 17
city: Grossschoenau
postcode: 2779

contact info
Titolo: Mr.
Nome: Konrad
Cognome: Havlat
Email: send email
Telefono: -55273
Fax: -55275

DE (Grossschoenau) participant 40˙500.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

enhanced    decision    hardware    manufacturing    workpiece    valuable    learning    sensor    compensation    tools    traceable    quasi    input    scientists    inspect    small    quality    loops    relationship    model    accordingly    metrological    time    machine    measuring    dof    adaptive    varying    errors    tool    competitive    motion    freedom    environmental    capability    real    monitor    point    sommact    toolkit    load    geometrical    data    error    cmm    machined    algorithm    previously    performances    degrees    self    performance   

 Obiettivo del progetto (Objective)

'SOMMACT develops and validates an innovative production hardware and control system founded on understanding, evaluating and controlling production system performances. This approach is based on detection (in-process traceable measurement embedded capabilities) and compensation (adaptive control and self-learning capabilities) of geometrical effects of varying external and internal quantities, such as temperature gradients and workpiece mass. Knowledge accumulated by SOMMACT approach is available for the higher level of a production system management, supporting self-optimisation and decision making, including the implementation of predictive/virtual metrology methods. The SOMMACT vision is based on three pillars: 1. A new metrological concept to enhance the measuring capability of machine tools, to monitor the machine geometrical deformation reliably and to inspect machined part characteristics traceably; 2. Enhanced sensor systems, measuring the 6 degrees of freedom of each machine component, and a control system integrating machine and workpiece data with environmental and load conditions, and adapting machining accordingly; 3. A self-learning model of the system performance, accumulating knowledge on the machine performance, based on calibration and real-time measurement data, and on their relationship with workpiece characteristics and the environment. The advantages are an improved product quality at competitive costs, and a prediction capability of the system performances based on a increasingly reliable model. The SOMMACT units can either stand alone, or be integrated into production systems as basic building blocks, enabling flexibility and easy reconfiguration under contingent conditions. Furthermore, the MT measuring capabilities are enhanced to the point that it can be used as a CMM. This (i) avoids QC production loops, (ii) provides workpiece traceable measurement results, and (iii) inputs valuable data into the self learning core.'

Introduzione (Teaser)

Scientists are developing a quasi real-time adaptive control system for machine tools. Combining sensors and a self-learning algorithm, the system will facilitate cost-effective, high-quality small and single-batch manufacturing.

Descrizione progetto (Article)

Manufacturing of small batches of mechanical components is often plagued by inefficiencies, and waste of raw materials and energy. Process parameters are largely determined on a trial-and-error basis and production time is significantly increased by incorporation of Quality Control - Production loops. Scientists initiated the EU-funded project 'Self optimising measuring machine tools' (Sommact) to develop novel production hardware and controlling software leading to improved product quality at competitive costs.

Sommact exploits three innovations. First, scientists are employing a new metrological concept to measure and monitor machine tool errors and inspect machined parts. The measuring capabilities are enhanced to the point of being a coordinate measuring machine (CMM) to provide workplace traceable measurements and input valuable data to a self-learning component. Enhanced sensor systems provide detailed information about the geometric errors of each machine motion. The error information is combined with environmental and load conditions by an adaptive control system that changes the machine process accordingly. Lastly, a self-learning algorithm accumulates knowledge of machine behaviour under varying conditions and its relationship to part quality.

All project objectives have been achieved in a timely manner. Experiments demonstrated that the Sommact system can reduce errors affecting machine accuracy by more than 75 %. In addition, on-machine inspection capabilities previously only available on CMMs have been included and traceability ensured by novel calibrated reference artefacts. Sommact has provided a valuable toolkit for measurement of machine error motion with six degrees-of-freedom (DoF) in stark contrast to previous state of the art consisting of a one DoF position sensor system. Almost all of the toolkit can be used with existing machine tools. Updating of volumetric compensation tables is done in quasi real-time subject to an operator's input. Standardisation of compensation data within ISO (International Organization for Standardization) is underway. Finally, decision-making support activities include applying immediate action, requesting recalibration of the machine if it is outside of previously learned scenarios, and predicting maintenance needs.

The Sommact system should facilitate important improvements in machine tool control and product quality. Sommact has been recommended as a Flagship Project and a Success Story for both the machine tools industrial sector and the European Commission's Directorate-General for Research and Innovation (RTD).

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