Studies on the Metrological Need and Capabilities of 3D Scanning Technologies

Abstract

3D scanning technologies are deployed toward developing a digital 3D model for Additive Manufacturing (AM) applications. It collects data, turning it into a 3D model that uses designated 3D printing processes. Many scanners, ranging from low-cost alternatives to professional series that are far more accurate and reliable, are now available to assist in bringing designs to reality. 3D scanning solutions enable the appropriate measurement of 3D physical parts into the virtual world, allowing factory production teams and corporate offices to share critical design information. These techniques are utilized everywhere in the design process, including product design and development, reverse engineering, quality control and quality assurance. The manufacturing sector can decrease costs while accelerating time to market and resolving quality issues. This study investigates the metrological need as per the advancements of 3D scanners. The procedural steps of the 3D scanners, along with specific metrological components and soft tools for 3D scanning, are discussed briefly. Finally, various 3D scanning applications are identified and discussed in detail. Because of the overall relative advantages of these non-contact measurement techniques, 3D metrological tools are crucial for modern production. Almost every sector aims for smaller, more complex components, which are more vulnerable to contamination or injury from even the slightest touch with a probe. The market is driven by global Research and Development (R&D) investment to develop game-changing technologies and solutions. Precision inspection and quality control are significant market drivers for industry progress. Smart factories will have lifetime access to 3D metrological data, allowing them to enhance quality and gain a competitive advantage in the marketplace.

Enhancing Furniture Manufacturing with 3D Scanning

“…This information helps to maintain production quality by controlling geometry errors in the production process [3]. Smart factories can enhance quality and gain a competitive advantage using 3D metrological data [35]. The fourth analyzed case study enables us to…”

“…This information helps to maintain production quality by controlling geometry errors in the production process [3]. Smart factories can enhance quality and gain a competitive advantage using 3D metrological data [35]. The fourth analyzed case study enables us to obtain geometric documentation of objects within history and the arts, allowing conservation and safeguarding of cultural heritage [36].…”