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An Innovative Approach to PMI Analysis and Enhancing Information Flow Efficiency

Year: 2023
Type: article
Abstract: Model Based Definition (MBD) technology has evolved over the last two decades to become the core of digital product development, containing all Product Manufacturing Information (PMI) as a source of data for the future product lifecycle, and offers unparalleled advantages in terms of information storage and intuitive labelling compared to paper-based engineering drawings. It has unparalleled advantages over paper-based engineering drawings in terms of information storage and visualisation. However, as digitisation increases, the number of product types and the correspondingly more complex manufacturing processes, neutral data formats are often distorted or even lost when used across systems, leading to design and manufacturing errors. Therefore, there is a need to build a bridge between information interactions so that models can be accurately and efficiently transferred from one computer-aided design system to another. This paper proposes a method to establish a unified PMI structure for interoperability and semantic correspondence by establishing geometric dimensioning and tolerancing, annotation and decomposition of several types of generic geometric elements into basic dimensional elements and positional information, establishing an intuitive model-PMI relationship and extracting the required elements for the exchange process and storing them in a STEP parser for PMI product information construction. Experimental analysis has shown that the method proposed in this paper has significant engineering implications for achieving interoperability exchange across systems and building a PMI conformance check framework, with the advantage of clarity, certainty and consistency at different stages of the product lifecycle. This approach to STEP files enables structured analysis of data and significant savings in time costs and human resources.
Source: IEEE Access
Language: English
Open Access status: gold
Estimated APC paid: $1,950
OpenAlex ID: W4382998568
FWCI: 0.303
Cites: 21
Cited by: 3
Related to: 10