Volume 2: 42nd Computers and Information in Engineering Conference (CIE)最新文献_第9页

Localized Dielectric Sintering With Magnetron for Microwave Material Processing 磁控管局部介电烧结用于微波材料加工

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91132

B. Graber, A. Iliopoulos, J. Michopoulos, J. Steuben, A. Birnbaum, E. Gorzkowski, E. Patterson, R. Fischer, G. M. Petrov, L. A. Johnson

{"title":"Localized Dielectric Sintering With Magnetron for Microwave Material Processing","authors":"B. Graber, A. Iliopoulos, J. Michopoulos, J. Steuben, A. Birnbaum, E. Gorzkowski, E. Patterson, R. Fischer, G. M. Petrov, L. A. Johnson","doi":"10.1115/detc2022-91132","DOIUrl":"https://doi.org/10.1115/detc2022-91132","url":null,"abstract":"\u0000 The process of sintering occurs when enough heating energy is applied on the particles of precursor powders to coalesce together and form a solid material without melting. Solidification takes place through cross mass diffusion along common interfaces and this technique has been used extensively by the materials processing community for ceramic part manufacturing. However, in most cases, furnaces are being used to elevate the temperature of material powder precursors globally throughout the entire volume of the intended parts. Instead of this approach, the present work explores the feasibility of using localized heating induced by coherent microwave radiation. Microwave-based material processing involves coupling between thermal and electromagnetic physics where the microwave radiation heats the sample locally via volumetrically tailored heat fluxes. However, changes in temperature change the dielectric properties of the sample, which then in turn affect microwave propagation. The nonlinearity introduced by the temperature dependence of the material properties into the relevant partial differential equations of this coupled system is further complicated by poorly defined dielectric, thermal, and thermo-electric properties of the dielectric precursor powders at temperatures required for sintering. This work focuses on analyzing a TE106 2.45 GHz microwave cavity used for processing BaTiO3, or BTO, precursor powder. Both a physical and a virtual experiment were carried out in tandem to understand the microwave propagation and dielectric property evolution with respect to temperature. It was demonstrated that appropriate tuning of the material properties (i.e., density, specific heat, heat conductivity, dielectric permittivity and loss tangent) relative to temperature enabled localized heating predicted by our model to match that of the physical experiment.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Framework Design of a Digital Twin of an XY Compliant Parallel Manipulator Based on Non-Negative Matrix Factorization 基于非负矩阵分解的XY柔性并联机器人数字孪生体框架设计

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89187

Xueguan Song, Kunpeng Li, Shuo Wang, Ziyun Kan, Haiyang Li, Jiaxiang Zhu, Guangbo Hao

{"title":"Framework Design of a Digital Twin of an XY Compliant Parallel Manipulator Based on Non-Negative Matrix Factorization","authors":"Xueguan Song, Kunpeng Li, Shuo Wang, Ziyun Kan, Haiyang Li, Jiaxiang Zhu, Guangbo Hao","doi":"10.1115/detc2022-89187","DOIUrl":"https://doi.org/10.1115/detc2022-89187","url":null,"abstract":"\u0000 A promising multi-layer mirror-symmetry XY compliant parallel manipulator (CPM) has been recently reported to address the tradeoff between a small compact footprint and a minimized parasitic rotation. In order to scientifically ensure the healthy operation of equipment and make maintenance decisions reasonably, there is a need to depict its physical mechanical characteristics in a virtual space instantaneously. The digital twin, an emerging technology, can be used to address this need by achieving a seamless convergence of physical and virtual spaces for this XY CPM. However, the high accuracy and instantaneousness requirements have hindered the application and popularization of the digital twin. This article presents a framework to build an accurate and lightweight digital twin, and in the meanwhile significantly reduces the computational budget (i.e. high computation efficiency). The framework is validated by an XY CPM test apparatus. The results demonstrate that the proposed framework is an effective tool to build an accurate and lightweight digital twin for the XY CPM, which is also promising for other compliant mechanisms or parallel manipulators.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131873275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning the Part Shape and Part Quality Generation Capabilities of Machining and Finishing Processes Using a Neural Network Model 利用神经网络模型学习加工精加工过程的零件形状和零件质量生成能力

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91115

Changxuan Zhao, S. Melkote

{"title":"Learning the Part Shape and Part Quality Generation Capabilities of Machining and Finishing Processes Using a Neural Network Model","authors":"Changxuan Zhao, S. Melkote","doi":"10.1115/detc2022-91115","DOIUrl":"https://doi.org/10.1115/detc2022-91115","url":null,"abstract":"\u0000 Automatically acquiring knowledge of manufacturing process capabilities from existing data is essential for automated process selection in digital and cyber manufacturing. In this work, we present a neural network model to automatically learn the capabilities of discrete manufacturing processes such as machining and finishing from design and manufacturing data. Concatenating a 3D Convolutional Neural Network (3D CNN) with an artificial neural network, the combined model can learn the part shape and part quality generation capabilities of the manufacturing processes. Specifically, the proposed method takes the voxelized part geometry and part quality information as inputs and utilizes a mixed neural network model (3D CNN + artificial neural network) to predict the manufacturing process label as output. The manufacturing process capability knowledge embedded in the neural network model is scalable and updatable as new manufacturing data becomes available. We present an example implementation of the proposed method with a synthesized manufacturing dataset to illustrate how the method enables automatic manufacturing process selection. The high prediction accuracy shows its predictive strength for use in Computer Aided Process Planning (CAPP).","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

SMART Standards: Modularization Approach for Engineering Standards SMART标准:工程标准的模块化方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88206

Janosch Luttmer, Dominik Ehring, R. Pluhnau, Christine Kocks, A. Nagarajah

{"title":"SMART Standards: Modularization Approach for Engineering Standards","authors":"Janosch Luttmer, Dominik Ehring, R. Pluhnau, Christine Kocks, A. Nagarajah","doi":"10.1115/detc2022-88206","DOIUrl":"https://doi.org/10.1115/detc2022-88206","url":null,"abstract":"\u0000 Standards are a valuable source of knowledge in product development and support engineering activities throughout the entire product development process. However, against the industry-wide trend of digitization, the provision and usage of standards has not changed significantly over the last decade. To satisfy customer requirements, standards development organizations are increasingly interested in publishing their content outside of traditional formats such as print or PDF. One example is the content-based modularization rather than the provision of whole documents (Content-as-a-Service). This paper examines existing modularization approaches as well as their transferability towards the domain of standardization. Based on these approaches, a concept for the modularization of formulas and especially the development of a formula module is designed and elaborated. Therefore, descriptive elements of formulas are identified and structured. The module then serves as template for the future documentation of formulas in XML standards. Afterwards, the identified modules are integrated into an existing SMART standards expert system in order to demonstrate possible applications of content-based standard provision. Future work will investigate methods for the automatic extraction of the identified descriptive formula elements as well as their semantic modelling in knowledge graphs. Moreover, the described concept serves as starting point for future research in modularization of engineering standards.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploring the Perceived Complexity of 3d Shapes: Towards a Spatial Visualization VR Application 探索三维形状的感知复杂性:走向空间可视化VR应用

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91212

Angela Busheska, Christian Lopez

{"title":"Exploring the Perceived Complexity of 3d Shapes: Towards a Spatial Visualization VR Application","authors":"Angela Busheska, Christian Lopez","doi":"10.1115/detc2022-91212","DOIUrl":"https://doi.org/10.1115/detc2022-91212","url":null,"abstract":"\u0000 The objective of this work is to explore the perceived complexity of 3D shapes used in spatial visualization tasks and leverage Machine Learning to create a model that can predictthis perceived complexity using the visual features of the shapes. This could help automate the process of generating 3D shapes for a Virtual Reality (VR) application designed to help develop spatial visualization skills. Spatial visualization skills are important skills needed in the STEM fields. While VR has been used to help develop these skills, most of the existing applications do not necessarily tailor their content to the skills level of individuals. Automatically generating shapes can help VR applications tailor spatial visualization tasks to the skills level of users. However, in order to do this, it is important to first understand how humans perceive the complexity of 3D shapes, and how this relates to their performance in spatial visualization tasks. The results of this work indicate that while participants perceived complexity of 3D shapes is correlated to their performance in spatial visualization tasks that use the same 3D shapes, this perceived complexity by itself is not enough to predict their performance in such tasks. Moreover, the results indicate that certain visual features of 3D shapes can help explain the perceived complexity of the shape as well as the performance of individuals in spatial visualization tasks that implement those 3D shapes.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123378129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Natural Language Processing for Content Analysis of Communication in Collaborative Design 协同设计中沟通内容分析的自然语言处理

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90895

Sachin H. Lokesh, Ashish M. Chaudhari, J. Thekinen, Jitesh H. Panchal

引用次数: 0

X-Ray Marching for the Computational Modeling of Tomographic Systems Applied to Materials Applications 应用于材料应用的层析成像系统的计算建模的x射线行军

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91129

J. Steuben, B. Graber, A. Iliopoulos, J. Michopoulos

{"title":"X-Ray Marching for the Computational Modeling of Tomographic Systems Applied to Materials Applications","authors":"J. Steuben, B. Graber, A. Iliopoulos, J. Michopoulos","doi":"10.1115/detc2022-91129","DOIUrl":"https://doi.org/10.1115/detc2022-91129","url":null,"abstract":"\u0000 X-ray tomography (XCT) and microtomography (uCT) are powerful experimental techniques for determining the internal structure of materials and objects. However, the physics governing these systems, particularly the myriad of complex interactions between X-rays and materials, lead to the frequent generation of spurious data “artifacts.” When these techniques are used to determine the quantitatively precise dimensions and morphology of defects and other features present in the objects under study, the presence of these artifacts is highly deleterious. A computational framework for simulating and studying tomographic processes, and the physical origins of such artifacts, may increase the overall utility of these techniques. This work presents the introduction, development, and demonstration of such a framework based on a ray-marching approach. A number of physics-driven and computationally-driven considerations guiding the development of this framework are discussed. A demonstration problem taken from prior literature is examined, and it is shown that even a basic implementation of this framework offers meaningful insight which can be used to improve quantitative measurements made using XCT. We conclude with remarks regarding the usage of this technique in a broader scope, and the work required to approach such tasks.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115101986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0