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simulation and visualization of industrial processes in unity

Simulation and visualization of industrial processes in unit...

47th Summer Computer simulation Conference, SCSC 2015, Part of the 2015 Summer simulation Multi-Conference, SummerSim 2015

作者： Wang, Jichao Phillips, Lucas Moreland, John Wu, Bin Zhou, Chenn Center for Innovation through Visualization and Simulation Purdue University Calumet 2200 169th St. HammondIN46323 United States

ISBN: (纸本)9781510810594

Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) have been combined with 3D visualization and used for optimization, troubleshooting, and training with a variety of industrial processes. The Unity 3D game engine has been used to create interactive and immersive 3D environments to visualize and communicate simulation results between users of varying experience and expertise. simulation results are integrated with photorealistic 3D models of equipment and facility environments, and combined with a game-like interface to review equipment failures and provide interactive training scenarios. The development and functionality of several projects from the steel and power industries are discussed. © 2015 Society for Modeling & simulation International (SCS).

关键词： Computational fluid dynamics

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simulation and visualization of Industrial Processes in Unity 15

Simulation and Visualization of Industrial Processes in Unit...

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simulation Multiconference

作者： Jichao Wang Lucas Phillips John Moreland Bin Wu Chenn Zhou Center for Innovation through Visualization and Simulation Purdue University Calumet

ISBN: (纸本)9781510810594

关键词： simulation visualization Interactive 3D Unity visualization Interactive simulating Three Dimensions Industrial processes Equipment Failure

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Numerical simulation and visualization of Blast Furnaces

Numerical Simulation and Visualization of Blast Furnaces

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“第十届中国钢铁年会”暨“第六届宝钢学术年会”

作者： Chenn Q.Zhou Steel Manufacturing Simulation and Visualization Consortium （SMSVC） Center for Innovation through Visualization and Simulation（CIVS）Purdue University

A blast furnace involves various capital and energy intensive processes. Due to complex phenomena and the difficulties in taking measurements, the knowledge needed for optimization of blast furnace operation can be most readily obtained through the development of high fidelity computational fluid dynamics（CFD） simulations. However, with increasingly complex CFD capable of simulating and analyzing ever-larger amounts of data, interpolating and presenting the numerical data in a meaningful fashion is a key for effective communication between CFD experts and plant engineers. Recently, virtual reality（VR） visualization technology made it possible for people to analyze huge amounts of CFD data in a virtual environment. This paper will present the methodology and results of integrating CFD simulation and VR visualization of blast furnaces. Such integration allows the creation of virtual blast furnaces which can be used for optimization, troubleshooting, design and training to improve the process performance and productivity.

关键词： blast furnace CFD simulation virtual reality visualization

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Numerical simulation and visualization of Blast Furnaces

Numerical Simulation and Visualization of Blast Furnaces

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第十届中国钢铁年会暨第六届宝钢学术年会

作者： Chenn Q. Zhou Steel Manufacturing Simulation and Visualization Consortium(SMSVC) Center for Innovation through Visualization and Simulation(CIVS)Purdue University CalumetHammondIN46323

A blast furnace involves various capital and energy intensive *** to complex phenomena and the difficulties in taking measurements,the knowledge needed for optimization of blast furnace operation can be most readily obtained through the development of high fidelity computational fluid dynamics(CFD)***,with increasingly complex CFD capable of simulating and analyzing ever-larger amounts of data,interpolating and presenting the numerical data in a meaningful fashion is a key for effective communication between CFD experts and plant ***,virtual reality(VR)visualization technology made it possible for people to analyze huge amounts of CFD data in a virtual *** paper will present the methodology and results of integrating CFD simulation and VR visualization of blast *** integration allows the creation of virtual blast furnaces which can be used for optimization,troubleshooting,design and training to improve the process performance and productivity.

关键词： blast furnace CFD simulation virtual reality visualization

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Alternative Lens to Understand the Relationships Between Neighborhood Environment and Well-being with Capability Approach and Explainable Artificial Intelligence

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Chinese Geographical Science 2025年第3期35卷 472-491页

作者： JIAO Linshen ZHANG Min ZHEN Feng QIN Xiao CHEN Peipei ZHANG Shanqi HU Yuchen School of Spatial Planning and Design Hangzhou City University Key Laboratory of Urban AI and Green Built Environment of Provincial Higher Education Institutes Jiangsu Provincial Engineering Laboratory of Smart City Design Simulation &Visualization School of Architecture and Urban Planning Nanjing University

The relationship between the neighborhood environment and well-being is attracting increasingly attention from researchers and policymakers, as the goal of development has shift from economy to well-being. However, existing literature predominantly adopts the utilitarian approach, understanding well-being as people's feelings about their lives and viewing the neighborhood environment as resources that benefit well-being. The Capability Approach, a novel approach that conceptualize well-being as the freedoms to do or to be and regard environment as conversion factors that influence well-being, can offer new lens by incorporating human development into these topics. This paper proposes an alternative theoretical framework: well-being is conceptualized and measured by capability;neighborhood environment affects well-being by providing spatial services, functioning as environmental conversion factors, and serving as social conversion factors. We conducted a case study of Changshu City located in eastern China, utilizing multiple resource data, applying explainable artificial intelligence(XAI), namely eXtreme Gradient Boosting(XGBoost) and SHapley Additive exPlanations(SHAP). Our findings highlight the significance of viewing the neighborhood environment as a set of conversion factors, as it provides more explanatory power than providing spatial services. Compared to conventional research based on linear relationship assumption, our results demonstrate that the effects of neighborhood environment on well-being are non-linear, characterized by threshold effects and interaction effects. These insights are crucial for informing urban planning and public policy. This research enriches our understanding of well-being, neighborhood environment, and their relationship as well as provides empirical evidence for the core concept of conversion factors in the capability approach.

关键词： capability approach explainable artificial intelligence (XAI) neighborhood environment non-linear relationship well-being

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Semi-Automated Diabetes Prediction Using AutoGluon and TabPFN Models 1st

Semi-Automated Diabetes Prediction Using AutoGluon and TabPF...

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1st International Conference on Artificial Intelligence of Things, ICAIoT 2023

作者： Puri, Vikram Kataria, Aman Puri, Bhuvan Center of Visualization and Simulation Duy Tan University Da Nang Viet Nam CSIR-CSIO Chandigarh160030 India Lovely Professional University Jalandhar India

ISBN: (纸本)9783031487736

Since the previous decade, the number of diabetic patients has increased significantly, which raises the risk of additional complications such as heart attacks, renal failure, decreased vision, and nerve damage. If this illness is detected and treated in its early stage, patients can be saved from a life-threatening disease. The discipline of artificial intelligence (AI), which is rapidly expanding, has possibilities that could revolutionize how this serious ailment is diagnosed and managed. At present, AI can only forecast diabetes using manually entered data. This paper proposes a semi-automated AI model that allows us to measure in automated and manual ways. Additionally, the two distinct AI models, AutoGluon and TabPFN, are employed to train AI models and are assessed using statistical metrics. Additionally, it also compares with the four traditional models w.r.t evaluation performance. Feature importance is then utilized to determine which feature is more advantageous. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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Numerical Investigation of EAF Arc Exposure and Water Panel Overheating

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Iron and Steel Technology 2023年第4期20卷 238-250页

作者： Chen, Yuchao Luo, Qingxuan Silaen, Armin K. Zhou, Chenn Q. Purdue University Northwest HammondIN United States Engineering Simulation Innovation Through Visualization and Simulation and Steel Manufacturing Simulation and Visualization Consortium Purdue University Northwest HammondIN United States

The electric arc furnace (EAF) utilizes mainly electric energy to melt scrap. Electric arc exposed to the freeboard can significantly heat the furnace wall, resulting in overheating issues. This study concentrates on slag foaming phenomenon and related wall temperature distribution. A calculator has been developed to calculate slag foaming parameters for a computational fluid dynamics model to predict the sidewall temperature distribution of an EAF and this model has been validated by plant data. The developed model can help to predict the risk of overheating from given electrode conditions and slag compositions. © Association for Iron & Steel Technology.

关键词： Electric arcs

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Homography-guided stereo matching for wide-baseline image interpolation

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Computational Visual Media 2022年第1期8卷 119-133页

作者： Yuan Chang Congyi Zhang Yisong Chen Guoping Wang Peking University Beijing 100871China Beijiing Engineering Technology Research Center of Virtual Simulation and Visualization Peking UniversityBeijing 100871China The University of Hong Kong Hong KongChina

Image interpolation has a wide range of applications such as frame rate-up conversion and free viewpoint *** significant progresses,it remains an open challenge especially for image pairs with large *** this paper,we first propose a novel optimization algorithm for motion estimation,which combines the advantages of both global optimization and a local parametric transformation *** perform optimization over dynamic label sets,which are modified after each iteration using the prior of piecewise consistency to avoid local *** we apply it to an image interpolation framework including occlusion handling and intermediate image *** validate the performance of our algorithm experimentally,and show that our approach achieves state-of-the-art performance.

关键词： image interpolation view synthesis homo-graphy propagation belief propagation

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Investigation of High-H2 Reducing Gas Delivery Through Shaft-Level Tuyeres With Computational Fluid Dynamics 1

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Advances in Pyrometallurgy Symposium, held at the TMS Annual Meeting and Exhibition, TMS 2023

作者： Okosun, Tyamo Nielson, Samuel Ugarte, Orlando Zhou, Chenn Q. Center for Innovation Through Visualization and Simulation Purdue University Northwest 2200 169th Street HammondIN46323 United States

ISBN: (数字)9783031226342

ISBN: (纸本)9783031226335

As both a significant contributor to the steelmaking process and the largest single source of CO2 emissions in integrated steelmaking, the blast furnace is a critical area of focus for decarbonization efforts. Generally, the replacement of coke with injected fuels such as natural gas or syngas has been a key pathway for reducing emissions. These injectants provide higher concentrations of H2 reducing gas, decreasing reliance on CO reactions, but they are limited by their endothermic impacts on flame and reducing gas temperature. One potential method of circumventing these limitations is the use of shaft-level tuyeres for high rates of hot reducing gas delivery, in a similar fashion to the direct-reduced ironmaking process. In this paper, the impacts of such a system are investigated with Computational Fluid Dynamics to predict the reaction rates, coke replacement ratios, and carbon emissions of the blast furnace process under the proposed operating scheme. © 2023, The Minerals, Metals & Materials Society.

关键词： Blast furnaces

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Asymmetric Dual-Stream Networks for Lightweight RGB-D Salient Object Detection

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Journal of Shanghai Jiaotong University (Science) 2025年 1-11页

作者： Wang, Yan Zheng, Wanlu Xia, Yaozheng Wang, Shaorong School of Information Science and Technology Beijing Forest University Beijing100083 China Engineering Research Center for Forestry-oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing100083 China Beijing Virtual Simulation and Visualization Engineering Center Beijing100871 China

Integrating image and depth information for RGB-D salient object detection has become a research hotspot in the field of saliency detection. Balancing the efficiency and performance of salient object detection models under resource constraints is a key challenge. To address this, this paper proposes an asymmetric lightweight network suitable for real-time RGB-D salient object detection tasks. The network reduces the number of network parameters by designing different lightweight feature extraction networks for different input modalities. Additionally, a multi-modal feature enhancement fusion module is designed to effectively fuse multi-modal features while compensating for the information loss caused by the lightweight backbone network. Moreover, this paper utilizes a global context module for dense decoding, aggregating local and global information of multi-scale features without significantly increasing computational complexity. The experimental results on five benchmarks show that the proposed lightweight RGB-D salient object detection network not only outperforms most mainstream models quantitatively and qualitatively, but also significantly outperforms other models in terms of efficiency, only with a parameter count of 5.1 million and a computational load of 0.77 gigaflops. This achievement validates the proposed method’s ability to achieve lightweight salient object detection while maintaining high efficiency. © Shanghai Jiao Tong University 2024.

关键词： Object recognition

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