Shenru Wang , Xin Yan , Baoning Chang , Jiae Zhang , Siqin Liu , Fei Liu , Junfan Shang , Li-Hua Shao , Sha Yin , Wuxiang Zhang , Yingdan Zhu , Xilun Ding
{"title":"A review on modeling strategies in understanding the process mechanism of 3D printed continuous fiber-reinforced thermoplastic composites","authors":"Shenru Wang , Xin Yan , Baoning Chang , Jiae Zhang , Siqin Liu , Fei Liu , Junfan Shang , Li-Hua Shao , Sha Yin , Wuxiang Zhang , Yingdan Zhu , Xilun Ding","doi":"10.1016/j.jmapro.2025.04.014","DOIUrl":null,"url":null,"abstract":"<div><div>Continuous fiber 3D printing (CF3DP) has emerged as a promising technique that deposits continuous fiber alongside resin, offering numerous functional and intelligent applications. CF3DP involves rapid heating and cooling of materials, characterized by multiscale and multiphase nature, which complicates the understanding of the underlying process mechanisms. This difficulty hinders the prediction and control of the manufacturing defects and may lead to the compromise of mechanical properties. Although significant efforts have been made in process modeling to establish the relationship between process parameters and manufacturing performance, a systematic review of these studies remains absent. In this work, we attempted to provide an overview of the modeling strategies in understanding the process mechanism of CF3DP. The various physical phenomena involved in the CF3DP process are systematically analyzed and the corresponding modeling studies are summarized. Then, special attention is devoted to exploring how multiscale modeling approaches can establish a relational framework between the CF3DP process and the prediction of mechanical properties. This article also discusses the modeling strategies of failure behaviors considering the manufacturing defects. Finally, this paper discusses emerging applications of CF3DP and highlights the critical role of process modeling in driving future advancements. With the discussion of the process modeling strategies in CF3DP, researchers can identify appropriate methods tailored to their specific interests while gaining deeper insights into the underlying process mechanism.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"145 ","pages":"Pages 46-70"},"PeriodicalIF":6.1000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Processes","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1526612525003974","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Continuous fiber 3D printing (CF3DP) has emerged as a promising technique that deposits continuous fiber alongside resin, offering numerous functional and intelligent applications. CF3DP involves rapid heating and cooling of materials, characterized by multiscale and multiphase nature, which complicates the understanding of the underlying process mechanisms. This difficulty hinders the prediction and control of the manufacturing defects and may lead to the compromise of mechanical properties. Although significant efforts have been made in process modeling to establish the relationship between process parameters and manufacturing performance, a systematic review of these studies remains absent. In this work, we attempted to provide an overview of the modeling strategies in understanding the process mechanism of CF3DP. The various physical phenomena involved in the CF3DP process are systematically analyzed and the corresponding modeling studies are summarized. Then, special attention is devoted to exploring how multiscale modeling approaches can establish a relational framework between the CF3DP process and the prediction of mechanical properties. This article also discusses the modeling strategies of failure behaviors considering the manufacturing defects. Finally, this paper discusses emerging applications of CF3DP and highlights the critical role of process modeling in driving future advancements. With the discussion of the process modeling strategies in CF3DP, researchers can identify appropriate methods tailored to their specific interests while gaining deeper insights into the underlying process mechanism.
期刊介绍:
The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.