Akademik Veri Yönetim Sistemi
International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Çanakkale, Türkiye, 16 - 18 Temmuz 2024, cilt.1089 LNNS, ss.49-56
Additive manufacturing, or 3D printing, as it is more commonly known, is the production of a three-dimensional model of an object by adding material layer by layer using digital data. Additive manufacturing is a technology that produces a physical model from a computer model through a layer-by-layer manufacturing process. Unlike traditional manufacturing methods, 3D printing creates objects in layers, providing designers and manufacturers with greater flexibility and free-dom. Additive manufacturing technology, also known as 3D printing, has gained significant attention in industries due to its advantages in customizing complex geometries and reducing costs. Despite the abundance of research on process de-sign, control, and prototyping, there remains a dearth of work on adapting addi-tive manufacturing to industry.This study discusses the topic of additive manu-facturing in the existing literature. Fuzzy logic was included in the study in order to quantitatively analyse the causal relationship between the various characteristics that influence industrial adaptability. This text examines the literature on fuzzy logic-based additive manufacturing studies and explains their purposes. The studies are categorized based on the parameters and fuzzy logic techniques used. It is crucial to carefully adjust the parameters in additive manufacturing to achieve the desired outcome. To ensure a successful additive manufacturing process, it is critical to determine the most suitable parameters for each application and material type. The objective of this study is to conduct a quantitative analysis of additive manufacturing technology and identify gaps in the existing literature for future research.