Volume 2: 42nd Computers and Information in Engineering Conference (CIE)最新文献_第8页

Topology Optimization Realization of a Spatially Parallel Compliant Mechanism With Constant Motion Transmission Characteristics 具有恒定运动传动特性的空间并联柔顺机构拓扑优化实现

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88605

Kaixian Liang, Dachang Zhu, Jie Liu

引用次数: 0

Virtual Reality for Delivering Swimming Practice Through Water-Free Immersive Training System 通过无水沉浸式训练系统提供游泳练习的虚拟现实技术

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90553

Shuo Li, Hongtao Zheng, W. Yuan, T. Han

{"title":"Virtual Reality for Delivering Swimming Practice Through Water-Free Immersive Training System","authors":"Shuo Li, Hongtao Zheng, W. Yuan, T. Han","doi":"10.1115/detc2022-90553","DOIUrl":"https://doi.org/10.1115/detc2022-90553","url":null,"abstract":"\u0000 Learning to swim is essential at any age as a great way to exercise and part of safety measures. Not everyone feels comfortable to start practicing from being in the water due to specific psychological or physical difficulties. Similarly, the in-water practice lacks real-time feedback for postures or stroke corrections. However, Virtual Reality (VR) technology presents a great potential to enable a water-free approach as preparation for, or supplementary to, in-water practice. Such technology is still under-explored. This paper proposes a Water-Free Immersive Training System (WITS) which verifies the feasibility of a Water-free Immersive Training System using system construction and experience tests. WITS features whole-body physical feedback (e.g.through distributed resistance materials or controllable air cushions) and body movement tracking to provide visual and embodied immersion and real-time training feedback. A Presence Questionnaire (PQ) is adopted to analyze users immersive experience. This paper discusses the user experience of WITS and the broader directions and implications for future development. This paper is intended to propose a novel design application and expand the possibility of other innovative forms of immersive sports. At the same time, it provides a set of design-oriented insights for creating tangible immersive experiences in VR systems.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"36 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133086695","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

Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer 基于神经网络辅助优化器的多尺度拓扑优化

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89538

Sina Rastegarzadeh, Jun Wang, Jida Huang

{"title":"Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer","authors":"Sina Rastegarzadeh, Jun Wang, Jida Huang","doi":"10.1115/detc2022-89538","DOIUrl":"https://doi.org/10.1115/detc2022-89538","url":null,"abstract":"\u0000 High-resolution structural designs attracts researchers to multi-scale topology optimizations (TO) paradigms. With the advances of machine learning (ML) methods, the integration of ML with TO has been attempted in many works. However, most works employ ML in a data-driven paradigm, which requires abundant training data. The generalization ability of such a data-driven paradigm is also ambiguous. This research aims to utilize the machine learning techniques as an optimizer for multi-scale structural design problems to address the connectivity issues of adjacent microstructures, a common problem in the multi-scale structure design. First, parameterized cellular materials (PCM) are utilized to develop a multi-scale parameterized TO problem. Then the problem is reformulated into a single unconstrained objective function using the penalty method and parameterized into a neural network (NN) that optimizes its weights and biases. The optimized network acts as a continuous model all over the design domain with the cellular material parameter as its response. This approach does not need to eliminate the elements with the intermediate densities, unlike density-based TO frameworks (e.g., SIMP). Using the NN-assisted optimizer, to handle the connectivity issue, the optimized NN can be discretized to a higher resolution, eliminating the need to use an interpolation filter. The performance of the proposed framework is significantly enhanced compared to the previously published method.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"40 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":"130043902","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: 3

Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections 基于知识和数据的机械连接设计与尺寸标注

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89172

C. Zirngibl, C. Sauer, B. Schleich, S. Wartzack

{"title":"Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections","authors":"C. Zirngibl, C. Sauer, B. Schleich, S. Wartzack","doi":"10.1115/detc2022-89172","DOIUrl":"https://doi.org/10.1115/detc2022-89172","url":null,"abstract":"\u0000 Challenges in the development of resource-efficient lightweight designs, such as emission and cost targets in production, lead to an increasing demand for environmentally friendly and fast joining processes. Therefore, cold-forming mechanical joining techniques provide an energy-efficient alternative in comparison to established processes, such as spot welding. However, to ensure a sufficient reliability of the product design, not only the selection of an appropriate manufacturing and joining method, but also the suitable dimensioning and validation of the entire joining process is a crucial step. In this context, thermal processes offer a large number of design principles while mechanical joining methods mainly require extensive experimental tests and the inclusion of expert knowledge. Although few contributions already investigated the data-based analysis of mechanical joints, a system for the requirement- and manufacturing-oriented dimensioning of joining components, such as different profiles and blanks, in combination with the estimation of joint properties is not available yet. Motivated by this lack, this contribution introduces an engineering workbench for the support of design engineers in the early development phases of the knowledge and data-based design of mechanical joining connections using clinching as an example. In this regard, the approach is demonstrated involving a similar material and sheet thickness combination with static loads.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"71 1 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":"129655351","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

A Parallel Multi-Constraint Topology Optimization Solver 一种并行多约束拓扑优化求解器

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89514

Adrian Diaz, N. Morgan, J. Bernardin

{"title":"A Parallel Multi-Constraint Topology Optimization Solver","authors":"Adrian Diaz, N. Morgan, J. Bernardin","doi":"10.1115/detc2022-89514","DOIUrl":"https://doi.org/10.1115/detc2022-89514","url":null,"abstract":"\u0000 This paper presents an open source parallel Topology Optimization (TO) code capable of optimizing mechanical designs subject to multiple inertial constraints. The code utilizes Open-MPI and Kokkos to enable fine-grained parallelism in every major computational segment of a TO code: global equation assembly, global equation solution, and the non-linear optimization of the design. Most of the the Finite Element (FE) infrastructure for the TO code is implemented on the Fierro open source code base; which also leverages the ELEMENTS (grants FE basis functions) and MATAR (grants efficient multidimensional sparse matrix storage) libraries. Essential Numerical Algorithms such as a parallel multi-grid solver for the global equilibrium equations and non-linear optimization come from the MueLu and ROL packages (both found in the Trilinos library) respectively. It is found that the Fierro TO algorithm is capable of providing minimum compliance solutions in multi-constraint problems involving mass, several moment of inertia targets, and constraints related to load bearing regions; where the relative error in the satisfaction of all constraints seen in this work does not exceed 3%. Additionally, this work demonstrates the use of a piece-wise continuous interpolation of material density; which avoids the implementation of filters to avoid well-known mesh dependent issues such as checker-boarding.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"129 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132983759","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

Design of a Bed Rotation Mechanism to Facilitate In-Situ Photogrammetric Reconstruction of Printed Parts 一种便于打印零件原位摄影测量重建的床旋转机构设计

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91106

Travis Roberts, Sourabh Karmakar, C. Turner

{"title":"Design of a Bed Rotation Mechanism to Facilitate In-Situ Photogrammetric Reconstruction of Printed Parts","authors":"Travis Roberts, Sourabh Karmakar, C. Turner","doi":"10.1115/detc2022-91106","DOIUrl":"https://doi.org/10.1115/detc2022-91106","url":null,"abstract":"\u0000 Additive manufacturing, or 3D printing, is a complex process that creates free-form geometric objects by sequentially placing material to construct an object, usually in a layer-by-layer process. One of the most widely used methods is Fused Deposition Modeling (FDM). FDM is used in many of the consumer-grade polymer 3D printers available today. While consumer grade machines are cheap and plentiful, they lack many of the features desired in a machine used for research purposes and are often closed-source platforms. Commercial-grade models are more expensive and are also usually closed-source platforms that do not offer flexibility for modifications often needed for research. The authors designed and fabricated a machine to be used as a test bed for research in the field of polymer FDM processes. The goal was to create a platform that tightly controls and/or monitors the FDM build parameters so that experiments can be repeated with a known accuracy. The platform offers closed loop position feedback, control of the hot end and bed temperature, and monitoring of environment temperature and humidity. Additionally, the platform is equipped with cameras and a mechanism for in-situ photogrammetry, creating a geometric record of the print throughout the printing process. Through photogrammetry, backtracking and linking of process parameters to observable geometric defects can be achieved. This paper focuses on the design of a novel mechanism for spinning the heated bed to allow for photogrammetric reconstruction of the printed part using a minimal number of cameras, as implemented on this platform.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"11 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":"132755132","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

Personalized Product Design Through Digital Fabrication 通过数字化制造实现个性化产品设计

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91173

A. Minnoye, Farzam Tajdari, E. L. Doubrovski, Jun Wu, Felix Kwa, W. Elkhuizen, T. Huysmans, Yu Song

{"title":"Personalized Product Design Through Digital Fabrication","authors":"A. Minnoye, Farzam Tajdari, E. L. Doubrovski, Jun Wu, Felix Kwa, W. Elkhuizen, T. Huysmans, Yu Song","doi":"10.1115/detc2022-91173","DOIUrl":"https://doi.org/10.1115/detc2022-91173","url":null,"abstract":"\u0000 Personalized designs bring added value to the products and the users. Meanwhile, they also pose challenges to the product design process as each product differs. In this paper, with the focus on personalized fit, we present an overview as well as details of the personalized design process based on design practice. The general workflow of personalized product design is introduced first. Then different steps in the workflow such as human data/parameters acquisition, computational design, design for digital fabrication, and product evaluation are presented. Tools and methods that are often used in different steps in the process are also outlined where in human data acquisition, 3D scanning, and digital human models are addressed. For computational design, the use of computational thinking tools such as abstraction, decomposition, pattern recognition and algorithms are discussed. In design for digital fabrication, additive manufacturing methods (e.g. FDM), and their requirements on the design are highlighted. For product evaluation, both functional evaluation and usability evaluation are considered and the evaluation results can be the starting point of the next design iteration. Finally, several case studies are presented for a better understanding of the workflow, the importance of different steps in the workflow and the deviations in the approach regarding different contexts. In conclusion, we intend to provide designers a holistic view of the design process in designing personalized products as well as help practitioners trigger innovations regarding each step of the process.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"39 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":"114797979","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: 7

Discovery of Customized Dispatching Rule for Single-Machine Production Scheduling Using Deep Reinforcement Learning 基于深度强化学习的单机生产调度自定义调度规则发现

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89829

P. C. Chua, S. K. Moon, Y. Ng, H. Ng, Manel Lopez

{"title":"Discovery of Customized Dispatching Rule for Single-Machine Production Scheduling Using Deep Reinforcement Learning","authors":"P. C. Chua, S. K. Moon, Y. Ng, H. Ng, Manel Lopez","doi":"10.1115/detc2022-89829","DOIUrl":"https://doi.org/10.1115/detc2022-89829","url":null,"abstract":"\u0000 A dispatching rule has become one of the most widely used approaches in producing scheduling due to its low time complexities and the ability to respond to dynamic changes in production. However, there is no one dispatching rule that dominates the others for the performance measure of interest. By modelling the selection of a dispatching rule to transit from one production state to another using a Markov decision process, current methods involving reinforcement learning make use of a predefined list of dispatching rules, which may limit the optimization of a specified performance measure. Greater flexibility can be achieved by creating customized dispatching rules through the important selection of production parameters for the performance measure in question. Using parameters obtained readily within the digital twin setting, this paper investigates the application of deep reinforcement learning to select customized dispatching rules formed by weighted combinations of production parameters on a single machine production scheduling problem. Due to the curse of dimensionality of storing Q values for all possible production states in a Q-table, a deep Q network is trained for the dynamic selection of the customized dispatching rules. Preliminary results show its effectiveness in minimizing total tardiness and outperform well-known existing dispatching rules.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"5 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":"114880818","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

Integrated Computational Materials Engineering With Monotonic Gaussian Processes 综合计算材料工程与单调高斯过程

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89213

A. Tran, K. Maupin, T. Rodgers

{"title":"Integrated Computational Materials Engineering With Monotonic Gaussian Processes","authors":"A. Tran, K. Maupin, T. Rodgers","doi":"10.1115/detc2022-89213","DOIUrl":"https://doi.org/10.1115/detc2022-89213","url":null,"abstract":"\u0000 Physics-constrained machine learning is emerging as an important topic in the field of machine learning for physics. One of the most significant advantages of incorporating physics constraints into machine learning methods is that the resulting machine learning model requires significantly fewer data to train. By incorporating physical rules into the machine learning formulation itself, the predictions are expected to be physically plausible. Gaussian process (GP) is perhaps one of the most common methods in machine learning for small datasets. In this paper, we investigate the possibility of constraining a GP formulation with monotonicity on two different material datasets, where one experimental and one computational dataset is used. The monotonic GP is compared against the regular GP, where a significant reduction in the posterior variance is observed. The monotonic GP is strictly monotonic in the interpolation regime, but in the extrapolation regime, the monotonic effect starts fading away as one goes beyond the training dataset. Imposing monotonicity on the GP comes at a small accuracy cost, compared to the regular GP. The monotonic GP is perhaps most useful in applications where data is scarce and noisy or when the dimensionality is high, and monotonicity is where supported by strong physical reasoning.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"45 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":"116012405","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

Functional Module Identification in Product Digital Twins: A Preliminary Study 产品数字孪生中功能模块识别的初步研究

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91300

Maulik C. Kotecha, Devesh Bhasin, D. Staack, D. McAdams

{"title":"Functional Module Identification in Product Digital Twins: A Preliminary Study","authors":"Maulik C. Kotecha, Devesh Bhasin, D. Staack, D. McAdams","doi":"10.1115/detc2022-91300","DOIUrl":"https://doi.org/10.1115/detc2022-91300","url":null,"abstract":"\u0000 The effect of product architectures on the digital twin (DT) modularity is previously unexplored. The authors present a functional modeling approach to identify the modules that emerge in product DTs in this article. A preliminary study on module identification is presented. A stepwise procedure for functional modeling of the physical twin (PT) followed by module identification based on the functional interdependency with DT is presented. Six examples of product DT from literature were chosen, and functional modeling followed by module identification was carried out. Based on the interdependency of modules, two types of modules were observed — discrete modules and integrated modules. The interdependency of the modules varied depending on the twinning purposes of DTs. The DTs purposed for component health monitoring were observed to have more discrete modules than the integrated ones compared to those with remote operation as their primary twinning purpose. It is also observed that the modular product architectures in PTs may not remain modular in their DT. A few key research questions arising from this exploratory study are also discussed in this paper. The study presented here can potentially offer engineers and researchers in the engineering design community a familiar approach to study novel problems and open new directions of inquiry.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"149 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113960561","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