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 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, and 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 objectives will have to be achieved:
In 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:
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