A genetic algorithm for time optimization.
EVAM® II ADDITIVE MANUFACTURING AUTOMATION AND OPTIMIZATION SOFTWARE
The reduction of machine downtimes in an environment of parallel identical machines is well known in the theory of computational complexity as “NP-Hard (Nondeterministic Polynomial time)”, normally a deterministic solution for this type of problem is not usually found.
After an exhaustive R&D phase in heuristic methods, at TRIDITIVE we have managed to develop a genetic algorithm that allows us to plan the jobs according to the most important parameter in additive manufacturing, the earliest date of delivery of a production order ( EDD. Earliest Due Date), known in programming theory as the earliest due date rule, which minimizes the maximum delay on a single machine.
The challenge of large additive manufacturing.
The aim of this project is to Design, Calculate, Build, Start Up and Validate the operation of a large 3D Printer prototype. The objective is to be able to satisfy the needs of the clients, currently not covered, in terms of 3D printing of larger pieces, ensuring their quality as ha s been done so far in smaller pieces. One of the main challenges in the design and construction of a large printer is the mechanical analysis of the stresses to which the machine will be subjected, accelerations, optimization of the head weight to avoid resonances and defects in the final parts, chamber temperature control and finally the chamber temperature control software.
Each and every one of these variables will be taken into account when designing a globally functional team. Next, the printer will be built, validating its operation as well as the properties of the parts that are manufactured in it.
Finally, depending on the results obtained, the most convenient formulas for their exploitation will be analyzed, defining the corresponding protection protocols.
The main objective of this project is to design, calculate, build and validate the operation of a large 3D printer prototype. To do this, the following secondary purposes will have to be achieved:
- Design the 3D Printer model.
- Study the structural behaviour of the Printer.
- Develop a specific print head to supply larger amounts of print material.
New ways of using the additive manufacturing technique for 3D printing of functional foods
INKAP 3DIn this project, new ways of using the additive manufacturing technique for 3D printing of functional foods through in situ microencapsulation of probiotics will be investigated, as well as the different food inks that would be necessary to print the food. The main challenges facing this project range from the characterization and properties of the type of material to be printed, through the design of the print heads, temperature control and conditions for printing, to the development of precision software for print the type of encapsulated food. Each and every one of these variables will be taken into account when designing a globally functional prototype.
It is a project that has three clearly identified objectives:
- Identification, characterization and validation of functional foods produced using the 3D printing encapsulation system.
- Development of new food printing inks both those that will make up the food and those that will serve as wall material for the microcapsule that will contain the active compound.
- Design, calculation, manufacture and commissioning of a 3D printer prototype for the production of functional foods.
Transition towards the circular economy and sustainability in the defense industry.
Flexible additive manufacturing cell for emergency events
EBT development and growth plan.
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