A universal method to compare parts from STEP files

Nishant Ojal (), Brian Giera (), Kyle T. Devlugt (), Adam W. Jaycox () and Alexander Blum ()
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Nishant Ojal: Lawrence Livermore National Laboratory
Brian Giera: Lawrence Livermore National Laboratory
Kyle T. Devlugt: Lawrence Livermore National Laboratory
Adam W. Jaycox: Lawrence Livermore National Laboratory
Alexander Blum: Lawrence Livermore National Laboratory

Journal of Intelligent Manufacturing, 2022, vol. 33, issue 7, No 17, 2167-2178

Abstract: Abstract Model Based Definition (MBD) captures the complete specification of a part in digital form and leverages (at least) the universal “Standard for the Exchange of Product” (STEP) file format. MBD has revolutionized manufacturing due to time and cost savings associated with containing all engineering data within a single digital source. This work presents a novel method to transform digital definitions in any given STEP file into a tensor-like structure that is unique for each part and can be used to regenerate the original STEP file completely. Resulting STEP tensors are amenable to part comparison based on various part specifications in a general and straightforward manner. Here, part similarity is evaluated among sets of parts according to specific geometry, material composition, and design intent. Importantly, specification similarity can be quantified using only the tensors’ structure. As such, this approach is not limited to families of geometric shapes, part types, or fabrication methods; nor does it require any prior knowledge about the parts being compared.

Keywords: Model Based Definitions; Similarity assessment; STEP file; Manufacturing process planning; ISO 10303 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10845-022-01984-3

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