Model-based definition
Model-based definition (MBD), sometimes called digital product definition (DPD), is the practice of using 3D models (such as solid models, 3D PMI and associated metadata) within 3D CAD software to define (provide specifications for) individual components and product assemblies. The types of information included are geometric dimensioning and tolerancing (GD&T), component level materials, assembly level bills of materials, engineering configurations, design intent, etc. By contrast, other methodologies have historically required accompanying use of 2D engineering drawings to provide such details.[1]
Use of the 3D digital data set
Modern 3D CAD applications allow for the insertion of engineering information such as dimensions, GD&T, notes and other product details within the 3D digital data set for components and assemblies. MBD uses such capabilities to establish the 3D digital data set as the source of these specifications and design authority for the product. The 3D digital data set may contain enough information to manufacture and inspect product without the need for engineering drawings. Engineering drawings have traditionally contained such information.[2]
In many instances, use of some information from 3D digital data set (e.g., the solid model) allows for rapid prototyping of product via various processes, such as 3D printing. A manufacturer may be able to feed 3D digital data directly to manufacturing devices such as CNC machines to manufacture the final product.[citation needed]
Limited Dimension Drawing
Limited Dimension Drawing (LDD), sometimes Reduced Dimension Drawing, are 2D drawings that only contain critical information, noting that all missing information is to be taken from an associated 3D model.[3] For companies in transition to MBD from traditional 2D documentation a Limited Dimension Drawing allows for referencing 3D geometry while retaining a 2D drawing that can be used in existing corporate procedures. Only limited information is placed on the 2D drawing and then a note is placed to notify manufactures they must build off the 3D model for any dimensions not found on the 2D drawing.[citation needed]
Standardization
In 2003, ASME published the ASME Y14.41 Digital Product Definition Data Practices, which was revised in 2012 and again in 2019. The standard provides for the use of many MBD aspects, such as GD&T display and other annotation behaviors within 3D modelling environment. ISO 16792[4] standardizes MBD within the ISO standards, sharing many similarities with the ASME standard. Other standards, such as ISO 1101 and of AS9100 also make use of MBD.
In 2013, the United States Department of Defense released MIL-STD-31000 Revision A to codify the use of MBD as a requirement for technical data packages (TDP).
STEP AP242 files are most commonly used in manufacturing because they contain a large amount of information in a relatively small file size.
KOMPAS-3D[5] contains tools for creating necessary and sufficient data in a 3D model for its production using MBD technology, which allows designers to apply the GOST 2.052-2015 attributes necessary for production to 3D models. These attributes include labels, notes, dimensions, tolerances, geometric tolerances, specifications, roughness, and others.
QIF 3.0 (Quality Information System) is a neutral CAD file format built on ANSI and ISO open standards and containing PMI (Product Manufacturing Information) semantics and other metadata, designed for future compatibility and traceability throughout the product life cycle, especially in automated processes and engineering applications.
In addition to the capabilities of the PDF format, 3D PDF files include 3D representations of the model. The 3D viewer tools are used to manipulate the 3D PDF model. The 3D PDF file also supports annotation data, but is only suitable for visual viewing.
ASME Y14.5 and ISO GPS (Geometric Product Specifications): These standards govern the use of geometric dimensions and tolerances - GD&T. A solid understanding of GD&T principles will help ensure that your MBD based processes are well defined, efficient and stable.
ASME Y14.41: This standard provides guidelines for creating a 3D digital product description.
ASME Y14.47: This standard provides schemas for organizing CAD models.
In America, design standards for MBD are defined in ASME Y14.41-2019 and in Europe ISO 16792:2015, and in Russia all information can be found in the current ESKD standards, such as GOST 2.052-2015 “Electronic product model. General provisions.»
See also
References
- ^ "MIL-STD-31000 Rev A", p36, 26 February 2013. Retrieved on 23 April 2015.
- ^ Thilmany, Jean, "Digital Tolerance", "MBD is a method of annotating computer-aided design models with geometric and tolerancing information that allows engineers to draw directly onto a 3-D model.", ASME.org, March 2011. Retrieved on 23 April 2015.
- ^ Fischer, Bryan R. (2004). Mechanical Tolerance Stackup. CRC Press. p. 5. ISBN 978-0-203-02119-4.
- ^ "ISO 16792 Technical product documentation — Digital product definition data practices". 2015.
- ^ "Аннотированная 3D модель". pavel-samuta.livejournal.com. Retrieved 2023-02-24.
External links
- Model-centric Design, Design World, 2008
- Patel, Nikunj (February 2, 2016). "The Argument Against Model-Based Definition". Design News.
- Ruemler, Shawn P; Zimmerman, Kyle E; Hartman, Nathan W; Hedberg, Thomas; Barnard Feeny, Allison (2016). "Promoting Model-Based Definition to Establish a Complete Product Definition". Journal of Manufacturing Science and Engineering. 139 (5): 051008. doi:10.1115/1.4034625. PMC 5215895. PMID 28070155.
- Quintana, Virgilio; Rivest, Louis; Pellerin, Robert; Venne, Frédérick; Kheddouci, Fawzi (2010). "Will Model-based Definition replace engineering drawings throughout the product lifecycle? A global perspective from aerospace industry". Computers in Industry. 61 (5): 497–508. doi:10.1016/j.compind.2010.01.005.
- Miller, Alexander Mcdermott; Alvarez, Ramon; Hartman, Nathan (2018). "Towards an extended model-based definition for the digital twin". Computer-Aided Design and Applications. 15 (6): 880–91. doi:10.1080/16864360.2018.1462569.
- Zhu, Wenhua; Bricogne, Matthieu; Durupt, Alexandre; Remy, Sébastien; Li, Baorui; Eynard, Benoit (2016). "Implementations of Model Based Definition and Product Lifecycle Management Technologies: A Case Study in Chinese Aeronautical Industry". IFAC-PapersOnLine. 49 (12): 485–90. doi:10.1016/j.ifacol.2016.07.664.
- Miller, Alexander Mcdermott; Hartman, Nathan W; Hedberg, Thomas; Barnard Feeney, Allison; Zahner, Jesse (2017). "Towards Identifying the Elements of a Minimum Information Model for Use in a Model-Based Definition". Volume 3: Manufacturing Equipment and Systems. V003T04A017. doi:10.1115/MSEC2017-2979. ISBN 978-0-7918-5074-9.
- Furrer, David U; Dimiduk, Dennis M; Cotton, James D; Ward, Charles H (2017). "Making the Case for a Model-Based Definition of Engineering Materials". Integrating Materials and Manufacturing Innovation. 6 (3): 249–63. doi:10.1007/s40192-017-0102-7.
- Uski, Pekka; Pulkkinen, Antti; Koskinen, Kari T. (2016). Aaltonen, Jussi; Virkkunen, Riikka; Koskinen, Kari T.; Kuivanen, Risto (eds.). Can a sheet metal product be manufactured without drawings? – Product lifecycle's point of view (PDF). Proceedings of the 1st Annual SMACC Research Seminar 2016. Tampere: Tampere University of Technology. pp. 109–11. ISBN 978-952-15-3832-2.
- Quintana, Virgilio; Rivest, Louis; Pellerin, Robert; Kheddouci, Fawzi (2012). "Re-engineering the Engineering Change Management process for a drawing-less environment". Computers in Industry. 63 (1): 79–90. doi:10.1016/j.compind.2011.10.003.
- Hedberg, Thomas D; Hartman, Nathan W; Rosche, Phil; Fischer, Kevin (2016). "Identified research directions for using manufacturing knowledge earlier in the product life cycle". International Journal of Production Research. 55 (3): 819–827. doi:10.1080/00207543.2016.1213453. PMC 5155444. PMID 27990027.
- Ma, Qin Yi; Song, Li Hua; Xie, Da Peng; Zhou, Mao Jun (2017). "Development of CAD Model Annotation System Based on Design Intent". Applied Mechanics and Materials. 863: 368–72. doi:10.4028/www.scientific.net/AMM.863.368. S2CID 114427127.