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OPTIMAL | Automated Maskless Laser Lithography Platform for First Time Right Mixed Scale Patterning

01-10-2022

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30-09-2026

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Manufacturing performance characteristics
Environmental sustainability
Result items:
OPTIMAL platform
OPTIMAL platform

By accelerating and upscaling the structuring process, the OPTIMAL project will increase the process efficiency and yield, which will allow for “first time right” fabrication of the required structures, lower consumption of resources, waste reduction, lower CO2 emissions, increase of productivity, and cost reduction. 

Reducing the consumption of energy
Result items:
OPTIMAL platform
OPTIMAL platform

MANSYS | MANufacturing decision and supply chain management SYStem for additive manufacturing

01-07-2013

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30-06-2016

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Reduction of energy consumption (in %)
0
Comment: The weight reductions applied to the aerospace demonstrator by the ManSYS project will provide 0.1% reduction in fuel consumption The weight reductions applied to the aerospace demonstrator via the ManSYS Platform will provide 0.003% reduction in fuel consumption

REEMAIN | Resource and Energy Efficient Manufacturing

01-10-2013

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30-09-2017

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Comment: Working under the seamless integration of renewables, specially the ones providing direct thermal energy for the processes.
Reduction of energy consumption (in %)
0
Comment: Baseline stated at the begining of the project. The evaluation of the demonstrations have just started but it is not ready yet.

PROSECO | Collaborative Environment for Design of AmI enhanced Product-Services Integrating Highly Personalised Innovative Functions with Minimal Ecological Footprint along Life Cycle and of Their Production Processes

01-10-2013

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30-09-2017

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Reduction of energy consumption (in %)
10
Comment: The project with the ecoinnovation methodology provides solutions on how to apply eco-driven design principles, in combination with lean principles, for collaborative design of Meta Products and their production processes. Those principles help to create eco-friendly products which minimize their impact all along their lifecycle ndly products which minimize their impact all along their lifecycle

CLOUDFLOW | Computational Cloud Services and Workflows for Agile Engineering

01-07-2013

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31-12-2016

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Manufacturing performance characteristics
Environmental sustainability
Comment: 6 of the CloudFlow application experiments are rooted in the design and engineering chain for hydrowater plants which are one important pillar of the green energy sector
Reducing the consumption of energy
Comment: Machining simulation and finding optimal machining strategies contribute to wasting lass raw material (e.g. metal) and energy (electricity consumed by NC machines)
Reduction of energy consumption (in %)
10
Comment: One CloudFlow application experiment aims at minimizing energy consumption and noise emissions created by the fan and the cooling airflow of compressors. One of the physical improvements is the reduced fan power consumption from 4kWel to 2,75kWel (>30%). Clients from the experiment partner BOGE will save electricity cost that amounts to about 350,000 euros per year. The design and layout of the splitter-type silencer can be calculated within hours instead of days which also reduces the use of energy. ESS design MEMS sensor components for commercial high-end applications. Cost savings due to chip area reduction is a major driver. With the CloudFlow portal ESS have access to high quality chip-design tools and can optimize chip size. 5% savings on a relatively small quantity of 1 million of ESS chips originally sized at 1640x1600 um each give approximately 235gr of savings in Si chips. This saves • 188kg of fossil fuel • 8.46 kg of chemicals • 3.76 tons of water

BOREALIS | The 3A energy class Flexible Machine for the new Additive and Subtractive Manufacturing on next generation of complex 3D metal parts.

01-01-2015

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31-12-2017

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Reduction of energy consumption (in %)
40
Comment: Possibility to melt the same quantity of powder with a lower amount of Energy with respect to traditional machine thanks to the optimization of the melt pool formation, the innovative design of the nozzle and thanks to the control architecture

MEMAN | Integral Material and Energy flow MANagement in MANufacturing metal mechanic sector

01-01-2015

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30-06-2018

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Comment: MEMAN will track and analyse the energy and material consumption along the value chain (upstream and downstream) providing optimum combinations of processes and configuration of the value chain.
Reduction of energy consumption (in %)
30
Comment: Energy consumption and CO2 emission reduction for the final product between 20-30% from cradle to gate and between 30-35% from cradle to grave.

ProRegio | Customer-driven design of product-services and production networks to adapt to regional market requirements

01-01-2015

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31-12-2017

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Reduction of energy consumption (in %)
0
Comment: Flexis: well - better and more stable planning reduces transports that normally are necessary on a short notice. No extra-flights, no extra-truck travels etc. Texxmo: VCI: reduction of travel-related energy consumption

DES-MOLD | Feature-Based Design and Modelling for Injection-molding Optimization

01-09-2012

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31-08-2015

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Manufacturing performance characteristics
Environmental sustainability
Comment: Environmental impact: improvement sustainability of production processes and tools since Des-MOLD will reduce the need for mock-up tools, and scrap pieces will be decreased thanks to the optimal designs and sensorization at the design level. Furthermore, Scrap reduction strategy has a direct impact on energy consumption reduction (less scraped parts are produced).
Reducing the consumption of energy
Reduction of energy consumption (in %)
10
Comment: Not calculated. Scrap reduction strategy of Des-MOLD has a direct impact on energy consumption (more than 30%)

FLEXICAST | Robust, and FLEXible CAST iron manufacturing

01-11-2012

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31-10-2016

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Comment: ENERGY REDUCTION IN CAST IRON PROCESSES
Reduction of energy consumption (in %)
18
Comment: In FLEXICAST project, the deliverables D8.5 Socio-economic aspects and D8.4 Exploitation Plan contain an estimation of energy reduction in a cast iron foundry reference (1500 Ton/year) and different scenarios. This value oscillates between 4% and 18%, depending on the choosed scenarios. A combination of steps (achievements) installed in a typical foundry is what called here “scenario”

REFORM | Resource-Efficient Factory Of Recyclable Manufacturing composite Components

01-12-2011

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30-11-2015

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Reduction of energy consumption (in %)
90
Comment: Methods to produce recycled carbon fibre use only 10% of the energy required to produce virgin fibre The new waterjet nozzle gives 65% energy savings due to reduced cutting time Can reduce energy needed to set resin by 50% using laser-assisted layup for composites, rather than oven curing.

ReCaM | Rapid Reconfiguration of Flexible Production Systems through Capability-based Adaptation, Auto-configuration and Integrated tools for Production Planning

11-01-2015

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31-10-2018

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Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Reduction of energy consumption (in %)
0
Comment:

As the dmonstrators are not running under productive conditions, we could not meassure any data here. Therefore the reduction is currently 0.

 

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