CREMA | Cloud-based Rapid Elastic MAnufacturing
01-01-2015
-31-12-2017
01-01-2015
-31-12-2017
01-12-2014
-30-11-2018
01-01-2015
-31-12-2017
01-01-2015
-31-12-2018
01-02-2015
-31-01-2018
01-01-2015
-31-12-2017
01-12-2014
-30-11-2017
A reduction of at least 20% of defective parts produced by additive manufacturing by CNC LMD, that mus be discarded.
A reduction of at least 50%of defective repairing by robotic LMD, that must reworked to be repaired again .
01-12-2014
-30-11-2017
01-01-2015
-31-12-2017
01-02-2015
-31-01-2018
01-01-2015
-31-12-2017
01-01-2015
-30-06-2018
11-01-2015
-31-10-2018
The Rule Editor and the Test Front-End are Android apps allowing factory users to interact with the ZHQ system
The smart mold provides Human Machine Interaction at several levels:
01-04-2015
-31-03-2019
01-09-2015
-31-08-2018
09-01-2015
-31-08-2018
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
We will generate Objects closer to their nominal shape and thus less material will be removed by subtractive processes.
CAxMan aim at using less material by offering new shape design methods for efficient design of voids and cavities. CAxMan also address the design of better and leaner support structures (use of less material) based analysis addressing thermal stresses and distortions during the additive process.
11-01-2015
-31-07-2020
09-01-2015
-31-08-2018
The operator has a broad decision basis as well as a suggestion of a DSS (Decision Support System), which will improve the manufacturing system. Operator interaction will be done by a new developed HMI (Human Machine Interface) providing the huge amount of data in a reliable manner.
12-01-2015
-31-05-2019
11-01-2015
-31-12-2018
10-01-2015
-30-09-2018
10-01-2015
-30-09-2018
10-01-2015
-30-09-2018
01-09-2015
-31-10-2019
11-01-2015
-28-02-2019
11-01-2015
-31-10-2018
Currently, without any demonstrator running, we did not achieve a reduction of waste.
This KPI can probably only be estimated within ReCaM. Effects to the reduction of waste wight arise through reuse of machines and reduction of erroneous products through automatic production or a strict worker guidance and quality checks.
The reduction of CO2 can only be achieved through a reduction of energy consumption in the context of ReCaM. See above
As the dmonstrators are not running under productive conditions, we could not meassure any data here. Therefore the reduction is currently 0.
10-01-2015
-30-09-2018
11-01-2015
-31-10-2018
10-01-2015
-30-09-2018
01-09-2014
-17-11-2016