Optimization of batching and the effect on overall production time with the fused deposition modeling additive manufacturing
Ala-Aho, Juuso (2022-05-26)
Ala-Aho, Juuso
26.05.2022
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022052638863
https://urn.fi/URN:NBN:fi-fe2022052638863
Tiivistelmä
In this thesis, we will look at the batching of production and production scheduling in Fused deposition modeling (FDM) system. Literature about FDM technology, manufacturing execution systems, and production scheduling is found for the literature review.
This literature review will be then followed by an analysis done with software for fused dep-osition modeling (FDM) printers. Different sizes of printed parts are used for the software to learn about nesting, batching, and material and time approximation. After this, scheduling software is used to schedule production.
The research questions answered in the thesis are how can the nesting of models in fused deposition modeling 3D printer be optimized and how can the work scheduling for Fused deposition modeling 3D printers be improved.
The results from the analysis show that the most time saved comes from setting up and post-processing the products. As the material usage differences are minimal, the nesting of as many of the same parts as possible in an orientation where support is minimized showed the best result.
For the production scheduling results, the same products should be scheduled to be printed at the same time, and also in the scheduling, the results are similar and the nesting of as many as possible products is favored.
The conclusion is that the nesting of products in additive manufacturing (AM) production is that orientation is the most important factor in saving time and material. When orientation is done most efficiently in single products, the support is minimized in the products.
Work schedules should be done in a way where simple products are printed in bigger batches. Also, products with more than one part should be printed subsequently or in the same batches, so that the post-processing and the finishing of those products can be done most efficiently, and the products can be sent to the customer as soon as possible.
This literature review will be then followed by an analysis done with software for fused dep-osition modeling (FDM) printers. Different sizes of printed parts are used for the software to learn about nesting, batching, and material and time approximation. After this, scheduling software is used to schedule production.
The research questions answered in the thesis are how can the nesting of models in fused deposition modeling 3D printer be optimized and how can the work scheduling for Fused deposition modeling 3D printers be improved.
The results from the analysis show that the most time saved comes from setting up and post-processing the products. As the material usage differences are minimal, the nesting of as many of the same parts as possible in an orientation where support is minimized showed the best result.
For the production scheduling results, the same products should be scheduled to be printed at the same time, and also in the scheduling, the results are similar and the nesting of as many as possible products is favored.
The conclusion is that the nesting of products in additive manufacturing (AM) production is that orientation is the most important factor in saving time and material. When orientation is done most efficiently in single products, the support is minimized in the products.
Work schedules should be done in a way where simple products are printed in bigger batches. Also, products with more than one part should be printed subsequently or in the same batches, so that the post-processing and the finishing of those products can be done most efficiently, and the products can be sent to the customer as soon as possible.