BRETON S.P .A. (20240278506). METHOD AND PLANT FOR MANUFACTURING THREE-DIMENSIONAL ARTICLES BY DEPOSITION OF A PLURALITY OF OVERLAPPING LAYERS OF A MATERIAL FOR ADDITIVE MANUFACTURING simplified abstract
METHOD AND PLANT FOR MANUFACTURING THREE-DIMENSIONAL ARTICLES BY DEPOSITION OF A PLURALITY OF OVERLAPPING LAYERS OF A MATERIAL FOR ADDITIVE MANUFACTURING
Organization Name
Inventor(s)
Luca Toncelli of Bassano del Grappa (VI) (IT)
Claudio Saurin of Rubano (PD) (IT)
Gabriele Corletto of Cittadella (PD) (IT)
Massimiliano Moruzzi of Rockford IL (US)
Francesco Iorio of Toronto (CA)
METHOD AND PLANT FOR MANUFACTURING THREE-DIMENSIONAL ARTICLES BY DEPOSITION OF A PLURALITY OF OVERLAPPING LAYERS OF A MATERIAL FOR ADDITIVE MANUFACTURING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240278506 titled 'METHOD AND PLANT FOR MANUFACTURING THREE-DIMENSIONAL ARTICLES BY DEPOSITION OF A PLURALITY OF OVERLAPPING LAYERS OF A MATERIAL FOR ADDITIVE MANUFACTURING
The patent application describes a method for manufacturing three-dimensional articles using additive manufacturing by depositing layers of material, optimizing process parameters through data analysis, and utilizing artificial intelligence algorithms for data processing.
- The method involves manufacturing test samples to collect data on process parameters and characteristics of the material layers.
- The data is processed to determine optimized reference values for the process parameters.
- The final article is then manufactured based on the optimized reference values obtained from the test samples.
- Data processing is done using artificial intelligence algorithms to train software for analysis and optimization.
- The innovation aims to improve the efficiency and quality of additive manufacturing processes.
Potential Applications: - Aerospace industry for manufacturing complex components. - Medical field for creating customized implants. - Automotive sector for producing lightweight parts.
Problems Solved: - Enhances the accuracy and consistency of additive manufacturing. - Reduces material waste and production time. - Improves the overall quality of manufactured articles.
Benefits: - Cost-effective production of intricate designs. - Customization options for specific requirements. - Enhanced performance and durability of manufactured parts.
Commercial Applications: Title: "Advanced Additive Manufacturing Process for Precision Components" This technology can be utilized in industries such as aerospace, healthcare, and automotive for efficient production of high-quality components, leading to cost savings and improved product performance.
Prior Art: Researchers can explore prior patents related to additive manufacturing processes, data analysis in manufacturing, and artificial intelligence algorithms for optimizing production parameters.
Frequently Updated Research: Stay updated on advancements in additive manufacturing technologies, data processing methods, and artificial intelligence applications in manufacturing for continuous improvement in production processes.
Questions about the Technology: 1. How does the use of artificial intelligence algorithms improve the additive manufacturing process? 2. What are the key factors to consider when optimizing process parameters for additive manufacturing?
Original Abstract Submitted
a method for manufacturing three-dimensional articles by means of deposition of a plurality of overlapping or adjoining layers of a material for additive manufacturing, comprising a step i) of manufacturing test samples, a step ii) of detecting and collecting data regarding process parameters relating to the deposition of the material and/or data regarding geometric and/or dimensional and/or qualitative and/or structural characteristics of the layers of material, a step iii) of processing the data detected during step ii) in order to obtain optimized reference values of the process parameters and a step iv) of manufacturing the article based on the optimized reference values of the process parameters obtained for the test samples. the data processing step iii) is performed by means of a process for training software based on at least one artificial intelligence algorithm. the disclosure also relates to a plant () for manufacturing three-dimensional articles by deposition of a plurality of overlapping or adjoining layers of a material for additive manufacturing.
