From an engineering perspective, if you’re looking into the world of Model-Based Design (MBD) or have already been shifting that way, you’ll want to start researching some of the new standards that are being developed by the American Society of Mechanical Engineers (ASME). In particular, the new standard that they are developing as a product definition for additive manufacturing. In this article, we will provide a quick list of the standards being looked at this year and touch on how you can apply these and other standards in a SOLIDWORKS workflow.
Standards Being Revised in 2019
As technology develops rapidly in the 3D printing world, defining standards to the world of additive becomes critical. Here are some of the standards that are being released or revised this year:
- ASME Y14.41 – Digital Product Definition Data Practices
- ASME Y14.46 – Product Definition for Additive Manufacturing
- ASME Y14.47 – 2019 Model Organization Practices (based on MIL-STD-31000A and 3D PDF technical data package deliverables)
The ASME welcomes everyone to the table for open discussion about standards. They are always looking for input and ideas to make standards better and are always open to have contributors to how the model-based standard is going to work. Normally, standards are a 5-year process, but they are working on making the new digital standards completely adaptable and able to be updated as technology changes.
Other Standards to Consider
Highlighted at this year’s Model-Based Enterprise Summit was a new standard for creating inspection data that is intelligent and based on models, known as the QIF standard. QIF enables the capture, use and re-use of metrology-related information throughout the Product Lifecycle Management (PLM) and Product Data Management (PDM) domains. This has the potential to revolutionize downstream deliverables to quality control, as well as to integrate digital inspection information to any CMM or digital metrology device. This can help ease the complexity of creating, interpreting and delivering first article inspection reports (FAIR) and interacting with popular systems like Net-Inspect.
Applying Standards in a SOLIDWORKS Workflow
All of this technology starts with a solid set of engineering best practices, CAD files and MBD publications. Without an ecosystem consisting of CAD models, a data management tool and a way to track all of the references upstream and downstream, MBD will not be successful. In the SOLIDWORKS environment, all of the needed functionality can be managed and cross-communicated using SOLIDWORKS 3D CAD, SOLIDWORKS PDM, and SOLIDWORKS MBD to generate all of the downstream deliverables.
SOLIDWORKS Model-Based Definition (MBD) is a model-based application specifically designed to help manufacturers annotate and organize 3D data, including datums, dimensions, tolerances, surface finishes, notes and Bill of Materials (BOMs) tables. Unlike 2D drawings, it defines, organizes and publishes annotations directly into the 3D data. This helps automate downstream manufacturing processes such as tolerance analysis, machining and inspections. The data can be published to widely accepted formats such as eDrawings, STEP 242 and 3D PDF.
For companies that may need a simplified option to adopt model-based practices, several convenient capabilities have been included in every seat of SOLIDWORKS Standard. With the current release of SOLIDWORKS Standard, you can annotate a 3D part or assembly, organize the 3D definitions with annotation views and communicate in eDrawings all directly in 3D.
If you’re looking for help or planning with moving your organization into using SOLIDWORKS MBD, receiving files with MBD information on them or just have some basic interest in transitioning into a Model-Based organization, please reach out to us and we’ll be happy to assist. As a technology solutions provider, TriMech helps many companies make strides to allow for every area of a business to be more efficient and focus on a digital perspective.
For more information on SOLIDWORKS MBD click below to stream our on-demand webinar where we walk through how to leverage the data in the real world to create a smart manufacturing ecosystem.