Shu Wang, Xueqin Zheng, Cunfu Wang, Huageng Luo, Shi-Kai Jing
{"title":"Simultaneous optimization of part and parting surface for hybrid casting and additive manufacturing","authors":"Shu Wang, Xueqin Zheng, Cunfu Wang, Huageng Luo, Shi-Kai Jing","doi":"10.1115/1.4062662","DOIUrl":null,"url":null,"abstract":"\n The paper presents formulations for hybrid casting and additive manufacturing(AM) in density-based topology optimization. A location-based Heaviside function is introduced to represent the parting surface. The optimized part on two sides of the parting surface can be fabricated with casting, additive manufacturing or both. Through the location-based Heaviside function and density gradient, two global constraints are formulated to remove undercuts and strong overhangs for casting and AM, respectively, inside the design domain. Since density gradient does not exist on the design domain boundary, two extra density-based global constraints are developed to control the strong overhangs and undercuts outside the design domain. Due to the smoothed parameterization of the parting surface, the proposed approach enables us to optimize the part and partition surface(including location and parting direction) simultaneously for hybrid casting and additive manufacturing. Both 2D and 3D numerical examples are presented to demonstrate the validity and efficiency of the proposed formulations for hybrid manufacturing processes. The proposed approach further enlarges the design space with manufacturing constraints, and has the potential to be used in the design for hybrid and multi-component manufacturing.","PeriodicalId":16299,"journal":{"name":"Journal of Manufacturing Science and Engineering-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Science and Engineering-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062662","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents formulations for hybrid casting and additive manufacturing(AM) in density-based topology optimization. A location-based Heaviside function is introduced to represent the parting surface. The optimized part on two sides of the parting surface can be fabricated with casting, additive manufacturing or both. Through the location-based Heaviside function and density gradient, two global constraints are formulated to remove undercuts and strong overhangs for casting and AM, respectively, inside the design domain. Since density gradient does not exist on the design domain boundary, two extra density-based global constraints are developed to control the strong overhangs and undercuts outside the design domain. Due to the smoothed parameterization of the parting surface, the proposed approach enables us to optimize the part and partition surface(including location and parting direction) simultaneously for hybrid casting and additive manufacturing. Both 2D and 3D numerical examples are presented to demonstrate the validity and efficiency of the proposed formulations for hybrid manufacturing processes. The proposed approach further enlarges the design space with manufacturing constraints, and has the potential to be used in the design for hybrid and multi-component manufacturing.
期刊介绍:
Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining