Digital twins are changing the way the construction industry manages large building projects and infrastructure initiatives. A digital twin is a graphical model (2D and 3D) combined with relevant non-graphical technical information, completely describing and mirroring a building digitally with data. Digital twins are synchronized with the physical objects they represent — engineering specifications, as-built variances, and actual measured performance data create a complete digital construct to support the lifecycle of the building.
There is a new wave of innovative processes and solutions that improve product production throughput, and enable once-impossible product creation. Advances such as model-based design (MBD), additive manufacturing (3D printing), pervasive engineering simulation, and robotics are making it possible to streamline the product development process, reduce cost of production, and accelerate time to market.
In the 3D modeling space, application developers face a number of challenges — getting to market on time, delivering the right feature set, producing a high-quality product — all while staying within budget. For companies to remain competitive, it is critical to invest resources and time on developing differentiated product features, rather than on behind-the-scenes, enabling technology.
It has already been a year since release 2017 1.0, which saw the introduction of a number of innovative features aimed at Innovation and Industrialization. Release 2018.1.0 is no different, building on the innovation of 2017.1.0 by improving the end-user experience, enabling new and evolved industry workflows and enabling faster time to market.
Boolean operations on individual bodies are common functions in 3D modeling. While simple in concept, reality can be quite different — Boolean operations can fail for a variety of reasons, often the result of earlier Boolean operations. The most common reasons boil down to unclear design intent.
boolean 3d modeling
In much the same way as physical design has moved from paper 2D drawings to 3D models in software, so has analysis. Designers and manufacturers are rapidly moving away from physical models to perform analyses, such as structural integrity or airflow, in order to shorten design and optimization time, while dramatically improving both the performance and costs of their results. The processes used for analyses require that the model be discretized into approximations, so that the mathematic equations can be solved at an appropriate scale. Instead of analyzing the interactions of every molecule, these approximations are appropriately scaled to reduce analysis time, while still ensuring the product meets the required specifications.
Today was day one of Spatial Corp.’s 3D Insiders’ Summit 2016, an educational event that focuses on technical topics that helps our customers innovate outside of the box. Attendees are here to discover what is new at Spatial, learn about the latest features, and gain insight about our future product plans as well to network with other industry professionals.
Part and parcel with model-based engineering is model translation. Because the model is now the specification, accurate translation from one system to another becomes essential. But even if a model is accurately read, the intent of the model has to also be properly interpreted. Key to proper model interpretation is healing — the process of modifying model data so that it conforms to the rules of the target system, while adhering to the intent of the source.
In case you missed the news this week, we announced the availability of Release 2017 1.0 for Spatial software development toolkits (or SDKs). This release focuses on improvements and new features in two areas: innovation and industrialization.