Quantification of feature shape complexity for the virtual prototypes and investigation of additive manufacturability

被引:0
作者
Srikanth, Mukka [1 ]
Mathew, Arun Tom [1 ]
Bhagchandani, Ranjeet Kumar [2 ]
机构
[1] Vellore Inst Technol, Sch Mech Engn, Vellore, India
[2] Natl Inst Technol Kurukshetra, Dept Mech Engn, Kurukshetra, India
来源
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM | 2024年
关键词
Feature shape complexity; Additive manufacturing; Multiple linear regression; Level of detail; Simplification; DESIGN; MODELS; SIMPLIFICATION;
D O I
10.1007/s12008-024-02116-2
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The shape complexity quantification is necessary for the selection of the manufacturing process for any Computer Aided Design (CAD) model or virtual prototype. The primary goal of this study is to quantitatively evaluate the Feature Shape Complexity (FSC) of 3D CAD models by considering the "number of inputs" necessary for their generation. In this approach, the quantification of FSC works on the novel "Digging Approach" concept of CAD-to-Features-to-Sketches. The evaluation involves assessing the complexity of features, which are weighted based on the complexity of the "embedded sketch". Any feature-based CAD model with feature tree information can be evaluated for shape complexity using this proposed technique. For the investigation of the additive manufacturability of feature-based CAD, an explanatory Multiple Linear Regression (MLR) model is utilised to predict the overall printing time and cost of geometries and examine the impact of design and manufacturing parameters on the material extrusion process (time and cost). The developed build time and cost estimation models have achieved high levels of efficiency, with R square values of 0.963 and 0.99, respectively. Regarding the Root Mean Square Error (RMSE), the build time estimation model yielded a value of 31.65, while the cost estimation model produced an RMSE value of 0.12. It was evident from the MLR models that the weight of the support material and FSC impacted printing time and cost more significantly than other parameters. Hence, process selection must be done based on the shape complexity of CAD with optimum part orientation to reduce the requirement of support material.
引用
收藏
页码:5127 / 5151
页数:25
相关论文
共 41 条
  • [1] Flexible and robust CAD models for design automation
    Amadori, Kristian
    Tarkian, Mehdi
    Olvander, Johan
    Krus, Petter
    [J]. ADVANCED ENGINEERING INFORMATICS, 2012, 26 (02) : 180 - 195
  • [2] Parametric CAD modeling: An analysis of strategies for design reusability
    Camba, Jorge D.
    Contero, Manuel
    Company, Pedro
    [J]. COMPUTER-AIDED DESIGN, 2016, 74 : 18 - 31
  • [3] Assessing the impact of geometric design intent annotations on parametric model alteration activities
    Camba, Jorge D.
    Contero, Manuel
    [J]. COMPUTERS IN INDUSTRY, 2015, 71 : 35 - 45
  • [4] Data-driven cost estimation for additive manufacturing in cybermanufacturing
    Chan, Siu L.
    Lu, Yanglong
    Wang, Yan
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2018, 46 : 115 - 126
  • [5] Comparing cost and print time estimates for six commercially-available 3D printers obtained through slicing software for clinically relevant anatomical models
    Chen, Joshua V.
    Dang, Alan B. C.
    Dang, Alexis
    [J]. 3D PRINTING IN MEDICINE, 2021, 7 (01)
  • [6] Additive manufacturing of metallic lattice structures: Unconstrained design, accurate fabrication, fascinated performances, and challenges
    Chen, Liang-Yu
    Liang, Shun-Xing
    Liu, Yujing
    Zhang, Lai-Chang
    [J]. MATERIALS SCIENCE & ENGINEERING R-REPORTS, 2021, 146
  • [7] 3D streaming based on multi-LOD models for networked collaborative design
    Chu, Chih-Hsing
    Chan, Yu-Hsuan
    Wu, Ping Han
    [J]. COMPUTERS IN INDUSTRY, 2008, 59 (09) : 863 - 872
  • [8] FEATURE-BASED MODELING FOR MECHANICAL DESIGN
    CHUNG, JCH
    PATEL, DR
    COOK, RL
    SIMMONS, MK
    [J]. COMPUTERS & GRAPHICS, 1990, 14 (02) : 189 - 199
  • [9] Modeling of Energy Consumption and Print Time for FDM 3D Printing Using Multilayer Perceptron Network
    El Idrissi, Mohamed Achraf El Youbi
    Laaouina, Loubna
    Jeghal, Adil
    Tairi, Hamid
    Zaki, Moncef
    Shi, Jing
    [J]. JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2023, 7 (04):
  • [10] A new perspective for production process analysis using additive manufacturing-complexity vs production volume
    Fera, M.
    Macchiaroli, R.
    Fruggiero, F.
    Lambiase, A.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 95 (1-4) : 673 - 685