Powder bed fusion integrated product and process design for additive manufacturing: a systematic approach driven by simulation

被引:3
|
作者
Dalpadulo, Enrico [1 ]
Pini, Fabio [1 ]
Leali, Francesco [1 ]
机构
[1] Univ Modena & Reggio Emilia, Enzo Ferrari Dept Engn, Modena, Italy
关键词
Design method; Design optimization; Integrated design; Computer-aided engineering; Finite element method; Process simulation; RESIDUAL-STRESS; FRAMEWORK;
D O I
10.1007/s00170-024-13042-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a computer-based methodology to support the design for additive manufacturing of metal components. Metal additive manufacturing, and in particular powder bed fusion systems, are playing a prominent role in the industry 4.0 scenario. The state of the art concerning design methods and tools to support design for additive manufacturing is reviewed by the authors. The key phases of product design and process design to achieve lightweight functional designs and reliable processes are deepened, and the computer-aided technologies to support the approaches implementation are described. Indeed, the state of the art design for additive manufacturing general workflow can be enriched by holistic approaches, use of numerical simulation, and integration and automation between the required tasks. The paper provides a methodology based on the systematic use of numerical simulation to achieve the optimization of both products and associated processes. To take advantage of the holistic perspective, the approach relies on the use of integrated product-process design platforms, allowing to streamline the digital process chain. Product design is based on the systematic integration of topology optimization and automatized tools for concept development and selection and subsequent product simulation driven design refinement. Process design is based on a systematic use of process simulation to prevent manufacturing flaws related to the high thermal gradients of metal processes and minimize residual stress and deformations. This is achieved by working on both the build cycles layouts and the 3D models' distortion compensation. An automotive use case of product and process design performed through the proposed simulation-driven integrated approach is provided to assess the actual method suitability for effective re-designs of additive manufacturing high-performance metal products. The bridged gaps are systematically outlined, and further developments are discussed.
引用
收藏
页码:5425 / 5440
页数:16
相关论文
共 50 条
  • [31] Alternative Approach to Modeling of Nucleation and Remelting in Powder Bed Fusion Additive Manufacturing
    Koepf, Johannes A.
    Gotterbarm, Martin R.
    Kumara, Chamara
    Markl, Matthias
    Koerner, Carolin
    ADVANCED ENGINEERING MATERIALS, 2023, 25 (12)
  • [32] Additive manufacturing of glass with laser powder bed fusion
    Datsiou, Kyriaki Corinna
    Saleh, Ehab
    Spirrett, Fiona
    Goodridge, Ruth
    Ashcroft, Ian
    Eustice, Dave
    JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2019, 102 (08) : 4410 - 4414
  • [33] Review of Powder Bed Fusion Additive Manufacturing for Metals
    Ladani, Leila
    Sadeghilaridjani, Maryam
    METALS, 2021, 11 (09)
  • [34] A MULTI-MODAL DATA-DRIVEN DECISION FUSION METHOD FOR PROCESS MONITORING IN METAL POWDER BED FUSION ADDITIVE MANUFACTURING
    Yang, Zhuo
    Kim, Jaehyuk
    Lu, Yan
    Yeung, Ho
    Lane, Brandon
    Jones, Albert
    Ndiaye, Yande
    PROCEEDINGS OF 2022 INTERNATIONAL ADDITIVE MANUFACTURING CONFERENCE, IAM2022, 2022,
  • [35] Sustainability aspects of additive manufacturing: Leveraging resource efficiency via product design optimization and laser powder bed fusion
    Nyamekye, Patricia
    Lakshmanan, Rohit
    Tepponen, Vesa
    Westman, Sami
    HELIYON, 2024, 10 (01)
  • [36] Time Dependent Scanning Path Optimization for the Powder Bed Fusion Additive Manufacturing Process
    Boissier, M.
    Allaire, G.
    Tournier, C.
    COMPUTER-AIDED DESIGN, 2022, 142
  • [37] Metal additive manufacturing by laser-powder bed fusion:Guidelines for process optimisation
    Obeidi, Muhannad Ahmed
    RESULTS IN ENGINEERING, 2022, 15
  • [38] APPLICATION OF DIGITAL TWINS TO LASER POWDER BED FUSION ADDITIVE MANUFACTURING PROCESS CONTROL
    Yeung, Ho
    Kim, Felix
    Donmez, Alkan
    PROCEEDINGS OF ASME 2023 18TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2023, VOL 1, 2023,
  • [39] A cybermanufacturing and AI framework for laser powder bed fusion (LPBF) additive manufacturing process
    Amini, Mohammadhossein
    Chang, Shing, I
    Rao, Prahalada
    MANUFACTURING LETTERS, 2019, 21 : 41 - 44
  • [40] Mitigation of lack of fusion defects in powder bed fusion additive manufacturing
    Mukherjee, T.
    DebRoy, T.
    JOURNAL OF MANUFACTURING PROCESSES, 2018, 36 : 442 - 449