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Automating what is not automatable Automated defect diagnosis and Machining system for manufactured parts.

Project description

Automating metal machining inspections

Automation on the shop floor is vital, particularly in turning, milling and grinding, to reduce cycle times and improve quality. This, however, is not the case with inspection processes that involve human operators using software and equipment to check parts and dimensions. It is time-consuming, involving the measurement of the manufactured part, comparison with required geometry and machining of the part. The EU-funded SCR4.0 project aims to speed up this process. It will automate the final quality control and machining process. According to the project, automating the entire process in one smart integrated manufacturing cell will lead to increased productivity (up to 33 %) and lower costs (up to 50 %) in the first 3 years.

Objective

ASAI is a Spanish SME bringing quality industrial automation to our clients in the automotive and other diverse industries. We have broad technical knowledge in scanning, robotics, software and automation and strong, management, industry knowledge, and supplier links for completion of the SCAN-CAM-ROBOT 4.0 (SCR4.0) project.
Our aim with the SCR4.0 is complete automation of the final quality control and machining process. The current process requires measurement of the manufactured part, comparison with required geometry and machining of the part. 3 separate activities linked by human operators using software and equipment. These solutions are slow, costly, and inefficient. For example, in the aluminium injection casting industry machining costs are 20 to 50% of average completed part and cause time delays of up to 75% for a part and material wastage of up to 15%.
The SCR4.0 will automate the entire process, in one smart integrated manufacturing cell that is compatible with Industry 4.0 for full factory and supply chain automation. Leading to Increased productivity (up to 33%) and lower costs (up to 50%) in just the first 3 years including payoff. Selective machining by the SCR4.0 will be possible by inline 3D scanning of all parts achieves extra energy and material savings (up to 20%).
Industry 4.0 (factories of the future) is growing, expected to reach €139 Billion by 2024. Our target material, Aluminium, is increasing in the automotive industry for light-weighting for emissions reduction, expected to reach 20% of material by 2026; with an increase in required complex machining for mechanical parts. Metal injection moulding (our customers primary activity) is to grow from €2.3 Billion in 2017 to € 3.35 Billion by 2022.
With an additional €2.3M investment, we can bring the SCR4.0 to this growing market through our global customer network and new links with aluminium parts manufacturers. Given the demonstrated savings they will be keen to implement the SCR4.0.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

AUTOMATIZACION DE SISTEMAS Y APLICACIONES INDUSTRIALES SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
POL IND CAMINO REAL 9 CARRETERA LOGRONO KM 18
50298 PINSEQUE
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Noreste Aragón Zaragoza
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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