{"title":"The influence of printing kinematics on dimensions, shape fidelity and GD&T parameters in 3D printing","authors":"Nagarjun Jayakumar, Balakrishnan Pandian","doi":"10.1016/j.measurement.2026.121015","DOIUrl":null,"url":null,"abstract":"<div><div>3D printing has transformed manufacturing by enabling the rapid production of functional parts without the need for jigs, fixtures, or moulds. To fully exploit its potential in precision manufacturing, it is essential to evaluate the dimensional accuracy of different printing architectures. The present study compares the performance of Cartesian and Delta FDM printers in terms of dimensional accuracy, shape fidelity, and alignment precision. A novel geometric benchmark artefact was developed to evaluate GD&T parameters and assess within-build repeatability across multiple features. Both printers were operated under identical process parameters and material conditions. Dimensional deviations between the printed parts and the CAD model were quantified using an optical 3D scanning technique. The results show that Cartesian printers achieve higher accuracy in planar and fine-detailed features, whereas Delta printers perform better for curved geometries. The Cartesian printer exhibited a mean negative deviation of −0.36 mm, while the Delta printer showed a mean positive deviation of +0.23 mm. Although the Delta printer demonstrated slightly lower overall error, it exhibited greater flatness deviations. These findings establish a systematic framework for precision evaluation in FDM and highlight the complementary strengths of Cartesian and Delta systems, providing guidance for printer selection based on application-specific requirements.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121015"},"PeriodicalIF":6.1000,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224126007244","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/2 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
3D printing has transformed manufacturing by enabling the rapid production of functional parts without the need for jigs, fixtures, or moulds. To fully exploit its potential in precision manufacturing, it is essential to evaluate the dimensional accuracy of different printing architectures. The present study compares the performance of Cartesian and Delta FDM printers in terms of dimensional accuracy, shape fidelity, and alignment precision. A novel geometric benchmark artefact was developed to evaluate GD&T parameters and assess within-build repeatability across multiple features. Both printers were operated under identical process parameters and material conditions. Dimensional deviations between the printed parts and the CAD model were quantified using an optical 3D scanning technique. The results show that Cartesian printers achieve higher accuracy in planar and fine-detailed features, whereas Delta printers perform better for curved geometries. The Cartesian printer exhibited a mean negative deviation of −0.36 mm, while the Delta printer showed a mean positive deviation of +0.23 mm. Although the Delta printer demonstrated slightly lower overall error, it exhibited greater flatness deviations. These findings establish a systematic framework for precision evaluation in FDM and highlight the complementary strengths of Cartesian and Delta systems, providing guidance for printer selection based on application-specific requirements.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.