Jiwei Zhou, Jorge D. Camba, N. Hartman, Zhongtian Li
{"title":"An Approach to Extend the Digital Thread From Requirements to Model Geometry","authors":"Jiwei Zhou, Jorge D. Camba, N. Hartman, Zhongtian Li","doi":"10.1115/msec2022-80857","DOIUrl":null,"url":null,"abstract":"\n As organizations embrace Industry 4.0 and its corresponding digital transformation, new technologies and practices are enabling more resilient, integrated, and sustainable approaches to product development. Researchers have explored the information flows and data relationships between requirements management (RQM) practices and Computer-Aided Design (CAD) to improve New Product Development (NPD) processes. Similarly, Life Cycle Assessment (LCA) tools can be used to assess the environmental impact of a product at the early stages of development. In this paper, we propose a novel approach to integrate RQM, CAD, and LCA in the NPD process in a manner that extends the “digital thread” of information from the definition of design requirements to the geometry of the digital product model. Specifically, we demonstrate the seeding of mechanical design models directly from design requirements as a starting point for parametrization, the linking of data items to facilitate subsequent design changes involving geometry, and the use of data connections between requirements and 3D models for continuous design verification. Our approach is supported by a Product Lifecycle Management (PLM) system and involves a workflow with several stages and various inputs from stakeholders. We validate our approach through the implementation of a case study involving a mechanical assembly and a commercial PLM system.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Micro and Nano-Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/msec2022-80857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
As organizations embrace Industry 4.0 and its corresponding digital transformation, new technologies and practices are enabling more resilient, integrated, and sustainable approaches to product development. Researchers have explored the information flows and data relationships between requirements management (RQM) practices and Computer-Aided Design (CAD) to improve New Product Development (NPD) processes. Similarly, Life Cycle Assessment (LCA) tools can be used to assess the environmental impact of a product at the early stages of development. In this paper, we propose a novel approach to integrate RQM, CAD, and LCA in the NPD process in a manner that extends the “digital thread” of information from the definition of design requirements to the geometry of the digital product model. Specifically, we demonstrate the seeding of mechanical design models directly from design requirements as a starting point for parametrization, the linking of data items to facilitate subsequent design changes involving geometry, and the use of data connections between requirements and 3D models for continuous design verification. Our approach is supported by a Product Lifecycle Management (PLM) system and involves a workflow with several stages and various inputs from stakeholders. We validate our approach through the implementation of a case study involving a mechanical assembly and a commercial PLM system.
期刊介绍:
The Journal of Micro and Nano-Manufacturing provides a forum for the rapid dissemination of original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers. Papers addressing special needs in emerging areas, such as biomedical devices, drug manufacturing, water and energy, are also encouraged. Areas of interest including, but not limited to: Unit micro- and nano-manufacturing processes; Hybrid manufacturing processes combining bottom-up and top-down processes; Hybrid manufacturing processes utilizing various energy sources (optical, mechanical, electrical, solar, etc.) to achieve multi-scale features and resolution; High-throughput micro- and nano-manufacturing processes; Equipment development; Predictive modeling and simulation of materials and/or systems enabling point-of-need or scaled-up micro- and nano-manufacturing; Metrology at the micro- and nano-scales over large areas; Sensors and sensor integration; Design algorithms for multi-scale manufacturing; Life cycle analysis; Logistics and material handling related to micro- and nano-manufacturing.