N. Kladovasilakis, P. Charalampous, Ioannis Kostavelis, Dimitrios Tzovaras
{"title":"Q3D: a complete solution for quality control and inspection in additive manufacturing processes","authors":"N. Kladovasilakis, P. Charalampous, Ioannis Kostavelis, Dimitrios Tzovaras","doi":"10.1108/rpj-11-2023-0392","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis paper aims to present an integrated system designed for quality control and inspection in additive manufacturing (AM) technologies.\n\n\nDesign/methodology/approach\nThe study undertakes a comprehensive examination of the process in three distinct stages. First, the quality of the feedstock material is inspected during the preprocessing step. Subsequently, the main research topic of the study is directed toward the 3D printing process itself with real-time monitoring procedures using computer vision methods. Finally, an evaluation of the 3D printed parts is conducted, using measuring methods and mechanical experiments.\n\n\nFindings\nThe main results of this technical paper are the development and presentation of an integrated solution for quality control and inspection in AM processes.\n\n\nOriginality/value\nThe proposed solution entails the development of a promising tool for the optimization of the quality in 3D prints based on machine learning algorithms.\n","PeriodicalId":509442,"journal":{"name":"Rapid Prototyping Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rapid Prototyping Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/rpj-11-2023-0392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This paper aims to present an integrated system designed for quality control and inspection in additive manufacturing (AM) technologies.
Design/methodology/approach
The study undertakes a comprehensive examination of the process in three distinct stages. First, the quality of the feedstock material is inspected during the preprocessing step. Subsequently, the main research topic of the study is directed toward the 3D printing process itself with real-time monitoring procedures using computer vision methods. Finally, an evaluation of the 3D printed parts is conducted, using measuring methods and mechanical experiments.
Findings
The main results of this technical paper are the development and presentation of an integrated solution for quality control and inspection in AM processes.
Originality/value
The proposed solution entails the development of a promising tool for the optimization of the quality in 3D prints based on machine learning algorithms.
设计/方法/途径本研究分三个不同阶段对工艺流程进行全面检查。首先,在预处理步骤中检测原料材料的质量。随后,本研究的主要研究课题是利用计算机视觉方法对三维打印过程本身进行实时监控。最后,使用测量方法和机械实验对 3D 打印部件进行评估。研究结果本技术论文的主要成果是开发并展示了用于 AM 过程中质量控制和检测的集成解决方案。