Projects overview

Sort by


Toggle all information

EPES | ECO-PROCESS ENGINEERING SYSTEM FOR COMPOSITION OF SERVICESTO OPTIMIZE PRODUCT LIFE-CYCLE

01-09-2011

-

28-02-2015

Show more information
Manufacturing performance characteristics
Environmental sustainability
Comment: Eco-process engineering system, sustainability aspects during product, process or service life-cycle. Improved decision making
Reducing the consumption of energy
Comment: Energy saving as design parameter. Increased availabitliy, and thus increased green energy geration in windmill farms. Optimised, maximised energy transfer with beter control of cabel load.

QCOALA | Quality Control of Aluminium Laser-welded Assemblies

01-09-2010

-

31-08-2013

Show more information
Manufacturing performance characteristics
Environmental sustainability
Comment: The new laser system that will be developed in QCOALA will comprise an optimised laser source with a wavelength suited to aluminium and copper welding, fully integrated with in-line process monitoring and inspection systems to ensure the quality of products that are produced. The new system will facilitate in-line quality control, as well as a higher level of automation in manufacturing, and thereby achieve higher yield and throughput, for both these high-in-demand applications.
Reducing the consumption of energy
Comment: This project hase the target to decrease the energy consumption by more than 20%.The project will be using the latest in laser technology which have a wall-plug efficiency of around 30%, which is an order of magnitude higher than that of the current ‘workhorse’ in industry, i.e. the lamp- pumped Nd:YAG laser. The QCOALA system is aligned with the European Photovoltaics Technology Platform’s objectives, outlined in their implementation plan published august 2009. The report mentions the need for a pan-European approach to solving the roadblocks of PV technology and manufacture.

MICRO-FAST | A FAST process and production system for high-throughput, highly flexible and cost-efficient volume production of miniaturised components made of a wide range of materials

01-09-2013

-

28-02-2017

Show more information
Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Comment: The Micro-FAST machine will include the in-line consideration of the energy needs for the specific process steps during their control and scheduling in order to reduce energy wastage and energy consumption peaks. This will be achieved increasing process stability and optimization of the maintenance cycles.

MAN-MADE | MANufacturing through ergonoMic and safe Anthropocentric aDaptive workplacEs for context aware factories in EUROPE

01-09-2013

-

31-08-2016

Show more information
Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Comment: By assessing environmental sustainability in relation to the decision-making process within factory organization as well as in the provision of worker-centric services, the project supports environmental-aware actions.

CAxMan | Computer Aided Technologies for Additive Manufacturing

09-01-2015

-

31-08-2018

Show more information
Manufacturing performance characteristics
Environmental sustainability
Comment:

We will generate Objects closer to their nominal shape and thus less material will be removed by subtractive processes, and reduce energy consumption and indirectly CO2 emission

Reducing the consumption of energy
Comment: We will be using less powder in AM reduce energy consumption for the laser-

COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation

01-09-2016

-

31-08-2019

Show more information
Manufacturing performance characteristics
Environmental sustainability
Reducing the consumption of energy
Comment: The project will focus on the reduction of energy consumption via the detection of excessive consumption and anomalous equipment behavior. The health of equipment will be improved, using machine learning/deep learning algorithms for predicting failures & arranging preventative maintenance. It will be possible to monetise the results into suggestions for actions at specific processes. The possibility of letting the Marketplace matchmaker take externalities into account when rating offers and partners by providing it with information on e.g. environmental performance of marketplace actors, is being examined.
Powered by Chris Decubber BV