A digital twin is a virtual representation of a real-world component in the manufacturing process that allows a product or process to be tested on a computer. This helps manufacturing industries improve products used in everyday life, as well as the equipment that produces those goods.
Digital twins allow engineers to advance solutions quicker than ever before and can be used to train workers. They can also be used to predict the behaviour of common large-scale, multifaceted assets in factories, curbing downtime and saving production costs.
How Digital Twin improves manufacturing
Digital twins can be used to analyze the functionalities of real objects and make optimizations. These optimizations can be made using predictive analytical models, big data analytics, edge computing, cloud computing, artificial intelligence (AI), and more.
Digital twins of manufacturing processes are used to improve overall effectiveness, efficiency, productivity, and built-in quality in manufacturing. They take engineering, design, manufacturing, quality control, assembly, inventory, supply chain, planning, and other important aspects of the decision-making process to the next level of efficiencies.
Reverse Engineering
By leveraging an as-built environment to confirm that your design documents reflect reality, you can fully integrate Luxolis 3D Scan App with your design software and never have out-of-date CAD files.
- Import 2D and 3D CAD to compare with the as-built environment
- Validate space using orthographic projection and x-ray view
- Export environment to your CAD software
- Easily keep up to date with your designs
Case Study - Car Manufacturing
Let’s take a look at the car manufacturing case study. The Luxolis team was able to interview a car manufacturer in order to understand the current needs for innovative solutions among car manufacturers.
Here’s a brief summary of the discussion:
Before entering the market, vehicles must undergo several mandatory design and control stages. It takes a long time and a lot of effort to develop automotive products. Even a small oversight in product design can erode the company’s brand value and profitability. A digital twin can potentially integrate all the data between previous generation vehicles and current vehicle concepts in its digital model.
The interviewee believes that Digital Twin is expected to hold the complete data of product lifecycle, and can improve the performance of simulation tests. In addition, the interviewee is considering digital manufacturing to improve overall equipment effectiveness parameters. This involves gathering and analyzing extensive data.
We asked if there are any challenges in the car manufacturing industry:
- Manufacturing facilities are becoming more complex as a result of deep personalization, autonomous driving, and electric cars. Automakers are considering flexible-cell manufacturing, where guided vehicles transport car bodies to assembly workstations individually. The data from the AGVs and other factory equipment is sent to a digital twin, which steers the operations.
- There is a shortage of skilled workers in manufacturing. Augmented Reality (AR) provides a detailed experience of the internal features of the equipment/machine to the operators, which enhances the understanding of fundamental principles of operation and design. The digital twin can predict when a certain failure or other unwanted events will occur on the machine.
FAQs
How long does it take to measure the parts?
It takes about 2-3 mins to measure parts.
Do you do the 3D modeling of the room?
Yes, we do 3D object scanning and scene scanning.
How can 3D modeling help with products testings?
A digital twin helps determine a product’s quality and performance by virtually experimenting with different compounds and raw materials.
