Volume 2: 42nd Computers and Information in Engineering Conference (CIE)最新文献_第5页

Finding Optimal Sequence of Mobile Manipulator Placements for Automated Coverage Planning of Large Complex Parts 大型复杂零件自动覆盖规划中移动机械手放置的最优顺序

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90105

R. Malhan, S. Gupta

{"title":"Finding Optimal Sequence of Mobile Manipulator Placements for Automated Coverage Planning of Large Complex Parts","authors":"R. Malhan, S. Gupta","doi":"10.1115/detc2022-90105","DOIUrl":"https://doi.org/10.1115/detc2022-90105","url":null,"abstract":"\u0000 Sensors are widely used in the industry to collect information about a physical object. Operational range of the sensor is limited and therefore the sensor needs to be moved around a large complex part in order to capture complete information. Robot arm or manipulators can provide the degrees of freedom needed to maneuver the sensor through the complex geometry. However, a robotic arm has a limited workspace as well and cannot cover large parts. Mobile base can enhance the capability of the robotic arm by adding mobility to the arm and carrying the arm around the part. Mobile base will need to relocate around the part during the process. Relocating the mobile base increases execution time and also introduces uncertainty in the localization as mobile base moves inaccurately. It is important to reduce the number of mobile base repositioning and reduce execution time and uncertainty. In this paper, we develop a motion planner that finds the minimum number of mobile base placements in order to find robotic arm trajectories that can cover a large complex part using a RGB-D camera sensor. The planning problem, also known as optimal base sequencing, is challenging due to the immensity of the search space. The computation costs involved in inverse kinematics calculations also adds to the search time. A branch and bound search algorithm is developed with efficient branch guiding and pruning heuristics that quickly explores the search space. A capability map based method is developed to improve the search space construction time. Output of our method is an optimal sequence of base placements for the mobile base that will lead to minimum number of placements and execution time required for the process.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"1952 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":"129106320","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

A Multi-Domain Knowledge Transfer Method for Conceptual Design Combine With FBS and Knowledge Graph 结合FBS和知识图的概念设计多领域知识转移方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89700

Bing Lai, Wu Zhao, Zeyuan Yu, Xin Guo, Kai Zhang

{"title":"A Multi-Domain Knowledge Transfer Method for Conceptual Design Combine With FBS and Knowledge Graph","authors":"Bing Lai, Wu Zhao, Zeyuan Yu, Xin Guo, Kai Zhang","doi":"10.1115/detc2022-89700","DOIUrl":"https://doi.org/10.1115/detc2022-89700","url":null,"abstract":"\u0000 Conceptual design as an essential step in product innovative design, a definitive design process and effective solution methods enable the rapid solving of design problems. In the conceptual design process, conceptual design solutions are solved by mapping multi-domain knowledge to design problems. However, such a process exists with multiple mapping paths and weak connections between knowledge. Therefore, we propose a knowledge transfer method that combines Function Behavior Structure (FBS) and Knowledge Graph (KG) for the conceptual design solution. Based on the FBS model, we structure the design process, identify and evaluate the functions and behaviors that satisfy the design requirements, integrate multi-domain knowledge based on knowledge graph technology and transfer it to the design process to support the conceptual design. Finally, the paper verifies the feasibility of the method with the design of a hoisting structure for heavy-duty and high precision movement. The results show that the proposed method is helpful for solving the ideal design solution, reducing the iterative steps, and improving the design efficiency to a certain extent.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"363 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":"124561836","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: 2

Medial Axis Transformation Based Design and Process Planning Methodology for Discrete Multi-Material Additive Manufacturing 基于中轴变换的离散多材料增材制造设计与工艺规划方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89819

M. Manoharan, Potnuru Hema Praneetha Naidu, Midhun Joy, S. Kumaraguru

{"title":"Medial Axis Transformation Based Design and Process Planning Methodology for Discrete Multi-Material Additive Manufacturing","authors":"M. Manoharan, Potnuru Hema Praneetha Naidu, Midhun Joy, S. Kumaraguru","doi":"10.1115/detc2022-89819","DOIUrl":"https://doi.org/10.1115/detc2022-89819","url":null,"abstract":"\u0000 Additive Manufacturing (AM) eases the fabrication of multifunctional simultaneous printing of multi-materials, which is quite cumbersome to fabricate in traditional manufacturing processes. Heterogeneous objects are entities engineered with multiple materials, and their emergence with the advent of AM is sporadic. This paper presents the novel layer decomposition methodology by utilizing Medial Axis Transformation (MAT) to generate discrete volumes for multi-material printing. Further, these discrete geometries are printed using multi-material addons, such as Palette Pro for material extrusion-based Additive Manufacturing systems. Tensile testing is performed to analyze the effectiveness and characteristics of the layer decomposition strategy. However, fabrication of the generated heterogeneous objects utilizes a computational model that maps the geometry of the object with the material composition. This methodology can also be applicable to model compositional heterogeneity for part fabrication using a metal-based Direct Energy Deposition (DED) process.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"65 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":"122949801","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

Assessments and Evaluation Methods for Upper Limb Exoskeleton - a Literature Survey 上肢外骨骼的评估与评价方法——文献综述

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88968

Seunghun Lee, Y. Xiang, T. Xia, Jie Yang

引用次数: 0

A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects 通过牺牲对象实验学习工艺参数的顺序决策方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89810

Yeo Jung Yoon, Satyandra K. Gupta

{"title":"A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects","authors":"Yeo Jung Yoon, Satyandra K. Gupta","doi":"10.1115/detc2022-89810","DOIUrl":"https://doi.org/10.1115/detc2022-89810","url":null,"abstract":"\u0000 Learning the right process parameters is essential to efficiently and safely execute tasks in automated manufacturing applications. When there is a risk of damaging the object, conducting experiments on sacrificial objects is a good option to explore the process parameters before performing the tasks on the object of interest. However, using too many sacrificial objects can incur unnecessary costs. We want to know the right amount of sacrificial objects to identify the right process parameters while keeping the expected task completion cost to a minimum. To do this, we use a sequential decision making approach to learn the process parameters. The sequential decision making approach we proposed is a combination of look ahead search, surrogate modeling, and a policy to select process parameters. In computation, the search tree simulates future decisions beyond the current decision and evaluates the costs by considering the effect of future experiments. The decision made in our approach only commits the user to the current stage and does not affect future decisions. When a decision is made to conduct experiments on the sacrificial object, the parameter policy to select process parameters should be simulated. In this policy, we consider the right trade-off between exploration and exploitation. In the beginning, the policy favors exploration since we do not have much data. In later stages, less exploration and more exploitation will be performed as we have sufficient number of experimental data. We validate our approach using the experimental setup of the robotic spray painting application.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"9 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":"132071174","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

Toward Generating System Architecture and Formal Functional Description in the Architecture Analysis & Design Language (AADL) With Structured Natural Language 用结构化自然语言在体系结构分析与设计语言(AADL)中生成系统体系结构和形式化功能描述

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90002

Anshumaan Chauhan, Parth Ganeriwala, Chiradeep Sen, S. Bhattacharyya

{"title":"Toward Generating System Architecture and Formal Functional Description in the Architecture Analysis & Design Language (AADL) With Structured Natural Language","authors":"Anshumaan Chauhan, Parth Ganeriwala, Chiradeep Sen, S. Bhattacharyya","doi":"10.1115/detc2022-90002","DOIUrl":"https://doi.org/10.1115/detc2022-90002","url":null,"abstract":"\u0000 Model based engineering has enabled automated analytical reasoning early in the design phase. As a result, inconsistencies and design errors can be captured early in the development lifecycle. But there is still a gap in the natural language-based specifications and its actual implementation. This is because the formal method-based tools utilize mathematical principles and theories of computation that require specific skills, thus reducing the usability of model-based engineering. Natural language is the most widely used method to represent specifications. So, it is intuitive to utilize natural language-based representation to generate system and formal annotations such that it will enable automated architectural analysis with much wider acceptance leading to a much broader impact. In our paper we focus on designing the above-mentioned approach that integrates representation of the specifications in a subset of English language which can then be used to generate system architecture in Architecture Analysis and Design Language along with the generation of functional specifications. We illustrate our approach by validating it with use cases from the aerospace and electromechanical domains.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"149 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":"124171678","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

A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems 非线性最小二乘曲线拟合问题的焦点区域识别方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88146

Guanglu Zhang, D. Allaire, J. Cagan

{"title":"A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems","authors":"Guanglu Zhang, D. Allaire, J. Cagan","doi":"10.1115/detc2022-88146","DOIUrl":"https://doi.org/10.1115/detc2022-88146","url":null,"abstract":"\u0000 Important for many science and engineering fields, meaningful nonlinear models result from fitting such models to data by estimating the value of each parameter in the model. Since parameters in nonlinear models often characterize a substance or a system (e.g., mass diffusivity), it is critical to find the optimal parameter estimators that minimize or maximize a chosen objective function. In practice, iterative local methods (e.g., Levenberg-Marquardt method) and heuristic methods (e.g., genetic algorithms) are commonly employed for least squares parameter estimation in nonlinear models. However, practitioners are not able to know whether the parameter estimators derived through these methods are the optimal parameter estimators that correspond to the global minimum of the squared error of the fit. In this paper, a focused regions identification method is introduced for least squares parameter estimation in nonlinear models. Using expected fitting accuracy and derivatives of the squared error of the fit, this method rules out the regions in parameter space where the optimal parameter estimators cannot exist. Practitioners are guaranteed to find the optimal parameter estimators through an exhaustive search in the remaining regions (i.e., focused regions). The focused regions identification method is validated through a case study in which the Michaelis-Menten model is fitted to an experimental data set. The case study shows that the focused regions identification method can find the optimal parameter estimators and the corresponding global minimum effectively and efficiently.","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":"128621275","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

Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing 基于深度学习的增材制造实时监控时空建模

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91021

H. Ko, Jaehyuk Kim, Yan Lu, Dongmin Shin, Zhuo Yang, Yosep Oh

{"title":"Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing","authors":"H. Ko, Jaehyuk Kim, Yan Lu, Dongmin Shin, Zhuo Yang, Yosep Oh","doi":"10.1115/detc2022-91021","DOIUrl":"https://doi.org/10.1115/detc2022-91021","url":null,"abstract":"\u0000 Real-time monitoring for Additive Manufacturing (AM) processes can greatly benefit from spatial-temporal modeling using deep learning. However, existing, deep-learning approaches in AM are case-dependent, and therefore not robust to changes of control inputs and data types. As AM is dynamic and complex, this limitation leads to a lack of systematic, DL approaches for real-time monitoring of AM, which involves a large number of varying control parameters and monitoring data. To address the challenge, this paper introduces a novel approach for developing spatial-temporal models to monitor Laser Powder Bed Fusion (LPBF) processes using deep learning on real-time, monitoring data. First, we present a novel model for representing in-situ-monitoring and control data of LPBF at multiple scales. Second, from the model, we extract spatial-temporal relationships for in-situ monitoring of LPBF processes. Third, we present a spatial-temporal, modeling approach using the architecture of convolutional long short-term memory (LSTM) to monitor the spatial-temporal relationships and detect anomalies. A case study used convolutional LSTM Autoencoder on optical, melt-pool-monitoring data, one of the most widely adopted data types in in-situ monitoring of LPBF. The data was generated from an LPBF testbed called the Additive Manufacturing Metrology Testbed. The novel, learning approach enables spatial-temporal modeling of AM dynamics directly from real-time data for the monitoring of varying AM environments. This methodical approach provides the potential to fuse realtime data at multiple, spatial-temporal scales.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"21 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":"124617352","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: 2

Controlling Microwave Energy Deposition Using Active Plasma Elements for Material Processing Applications 利用活性等离子体元件控制微波能量沉积在材料加工中的应用

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91096

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

{"title":"Controlling Microwave Energy Deposition Using Active Plasma Elements for Material Processing Applications","authors":"B. Graber, A. Iliopoulos, J. Michopoulos, J. Steuben, N. Apetre, G. Petrov, L. A. Johnson, R. Fischer, E. Gorzkowski, E. Patterson","doi":"10.1115/detc2022-91096","DOIUrl":"https://doi.org/10.1115/detc2022-91096","url":null,"abstract":"\u0000 This work is motivated by the need to modulate microwave beam propagation, phase, shape, and direction using an array of plasma elements. Tailoring microwave beams in this fashion will enable new material processing capabilities such as induced localized heating. An initial process example consists of a cylindrical plasma element inserted into a waveguide between a microwave radiation source and a material of interest. In order to establish the feasibility of the proposed process, an accurate model of an argon mercury plasma including plasma-microwave coupling was developed and described herein. Both microwave plasma heating and magnetic plasma couplings are considered. The required computational framework was implemented within the COMSOL Multiphysics finite element solver. The model is first used to investigate a 2D geometry, before being extended to a 3D geometry. The obtained solutions of the relevant partial differential equations and the associated predictions increased the understanding of the interplay between plasma and electromagnetic properties under consideration in the model. Model implementation confirms that a plasma element can be used to modulate incident microwave radiation, thereby shaping the transmitted beam. The framework also enables analysis of beam shaping techniques under consideration for material processing of ceramics. For ceramic processing, beam shaping techniques are being used to direct microwave radiation to predictable, localized areas in order to sinter the dielectric powders under consideration.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"18 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":"128271675","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

Designing Mindfulness Practice System Based on Biofeedback in VR Environment VR环境下基于生物反馈的正念练习系统设计

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91254

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

{"title":"Designing Mindfulness Practice System Based on Biofeedback in VR Environment","authors":"Shuo Li, Hongtao Zheng, Yang Ge, W. Yuan, T. Han","doi":"10.1115/detc2022-91254","DOIUrl":"https://doi.org/10.1115/detc2022-91254","url":null,"abstract":"\u0000 Mindfulness practice has been proved to have sound intervention effects in stress relief and emotion regulation. However, traditional mindfulness therapy relies on group courses under the guidance of experts, which is limited by personnel and site resources. There has been growing interest in mindfulness practice and related interaction products without exploring the role of biofeedback mechanism in mindfulness practice. However, to translate this potential into concrete design applications, we need a qualitative understanding of how breathing feedback is embedded in game design. This article discusses the effects of different physiological feedbacks mechanism in virtual environments for mindfulness game design, exploring the impact of breathing feedback (continuous feedback) versus head orientation feedback (discontinuous feedback) on young mindfulness beginners. Using “MindJourney,” we present key insights that summarize how physiological feedback can be used in mindfulness-based games for immersive interactions, self-state perception, and motivational design experiences. The experimental results show that the MindJourney mindfulness practice system can effectively improve users’ mindfulness practice experience, promote mindfulness ability training and stress relief, and has specific theoretical significance and application value. This article shares practical experiences in the other design and exploration of mindfulness game practice in health interventions to provide youth with a healthy lifestyle.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"6 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":"133431453","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