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643 results on '"Peng, Qingjin"'

1. Applications of Adaptable Design

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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2. Concluding Remarks and Development Trends

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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3. Tool and Techniques for Adaptable Design

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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4. Processes and Methods for Adaptable Design

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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5. Evaluation for Adaptable Design

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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6. Modeling for Adaptable Design

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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7. Introduction

Author

Gu, Peihua, Xue, Deyi, Peng, Qingjin, Zhang, Jian, Ding, Han, Editor-in-Chief, Sun, Ronglei, Editor-in-Chief, Lee, Kok-Meng, Series Editor, Wang, Cheng'en, Series Editor, Fang, Yongchun, Series Editor, Shi, Yusheng, Series Editor, Qiao, Hong, Series Editor, Sun, Shudong, Series Editor, Du, Zhijiang, Series Editor, Zhang, Dinghua, Series Editor, Zhang, Xianming, Series Editor, Fan, Dapeng, Series Editor, Gu, Xinjian, Series Editor, Tao, Bo, Series Editor, Han, Jianda, Series Editor, Lin, Yongcheng, Series Editor, Xiong, Zhenhua, Series Editor, Gu, Peihua, Xue, Deyi, Peng, Qingjin, and Zhang, Jian

Published
2024
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41. Optimization of orocessing parameters for 3D printed product using Taguchi method and desirability function analysis

Author

Khoshdarregi, Matt (Mechanical Engineering), Xing, Malcolm (Mechanical Engineering), Peng, Qingjin, Yasmin, Farhana, Khoshdarregi, Matt (Mechanical Engineering), Xing, Malcolm (Mechanical Engineering), Peng, Qingjin, and Yasmin, Farhana

Abstract

Additive Manufacturing (AM) or 3D printing technologies use fused layers of the material to build the cross-sectional geometry of the product. As variable processing parameters have an impact on product quality, it is crucial to ascertain the relationships of AM process parameters, productivity, sustainability, and structure performance. This research investigates the effect of the fused deposition modeling (FDM) process parameters on the response variables, including mechanical attributes, energy consumption, material consumption, and manufacturing time of the 3D printed product. Experiments are conducted for the FDM variable parameters of the infill pattern, infill density, layer height, printing speed, printing temperature, and wall thickness. Design of the experiment approach is used to determine the best combination of the chosen parameters. A L18 orthogonal design method is employed to collect the testing data. Taguchi and analysis of variance methods are applied in the data analysis of variable FDM parameter settings. The research finds different effects on the response variables. The optimization of response characteristics is performed using the multi-objective optimization desirability technique. The best combinations of process parameters are obtained for the chosen response variables.

Published
2024

42. Advancing assembly sequence planning by genetic algorithm and Q-learning method

Author

Wu, Nan (Mechanical Engineering), Gajpal, Yuvraj (Supply Chain Management), Peng, Qingjin, Geran Malek, Nima, Wu, Nan (Mechanical Engineering), Gajpal, Yuvraj (Supply Chain Management), Peng, Qingjin, and Geran Malek, Nima

Abstract

Assembly sequence planning (ASP) determines the order of the assembling components of a product. Existing ASP methods have the limitation in planning complex products with high computational costs and inefficient optimization solutions. This thesis applies different variants of Genetic Algorithm (GA) as well as Q-Learning-based Genetic Algorithm (QLGA) to address these challenges. GA, like other metaheuristics, is problem-dependent and typically requires tuning for specific problems. By incorporating Q-learning capabilities into GA, the performance of GA can be enhanced, especially for solving NP-hard ASP problems. Different versions of GA and QLGA with various crossover operators and selection mechanisms are compared to evaluate the proposed approaches through case studies. The results show that QLGA outperforms traditional GA in terms of convergence rate and efficiency. ASP can be significantly improved when Q-learning techniques are combined with traditional GA methods, providing a versatile and efficient solution for product assembly planning.

Published
2024

43. River water surface velocity measurement using large-scale particle image velocimetry

Author

Wu, Nan (Mechanical Engineering), Peng, Qingjin (Mechanical Engineering), Bibeau, Eric, Sy, Erwin, Wu, Nan (Mechanical Engineering), Peng, Qingjin (Mechanical Engineering), Bibeau, Eric, and Sy, Erwin

Abstract

It is proposed to use advancements in Large Scale Particle Image Velocimetry (LSPIV), such as improved charge-coupled device in cameras, unmanned aerial vehicles, and faster algorithms, for a non-invasive river water surface velocity measurement to assess potential hydrokinetic turbine sites. The approach will compare results to an Acoustic Doppler Velocimeter (ADV). Being able to measure the water surface velocity using the proposed method allows the use of a low-cost and simple approach to determine hydrokinetic sites suitable for turbine deployment for electrification of remote communities. The research tests were conducted in a water tunnel and at the Canadian Hydrokinetic Turbine Testing Center located in Winnipeg River using cameras and a drone with results compared to an ADV. Two LSPIV simulation software’s PIVlab and OpenPIV were used to analyze the water surface velocity captured in a water tunnel and at the Canadian Hydrokinetic Turbine Testing Center. The results of the LSPIV software analysis with optimized average velocity data results from PIVlab are within ±0.1 m/s from the average ADV velocity results. In addition, optimized velocity data from PIVlab show vector results moved closer to the ADV measured water surface velocity and resulted with fewer fluctuations after the erroneous data was removed. Thus, a non-invasive way of analyzing water surface velocity by flying a drone overhead capturing the water surface and using LSPIV software such as PIVlab and OpenPIV to extract data from the captured images could replace conventional invasive methods of water surface velocity measurements for site assessments so long as these are done in good weather, minimal wind and water surface ripples are clear, detailed and defined.

Published
2024

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