Jiangbo Xu | Slope engineering |Best Researcher Award

Posted on 08/11/202408/11/2024 by 21b4bddf87157652317827146367558f

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Mr. Jiangbo Xu | Slope engineering |Best Researcher Award

Mrs.Jiangbo Xu,Chang’an University,China

Mrs. Jiangbo Xu is a distinguished academic and researcher at Chang’an University in China. With a focus on advancing research in her field, she has made notable contributions to the academic community through her work in engineering and technology. At Chang’an University, Mrs. Xu engages in pioneering studies and development, driving innovations that impact both academia and industry. Her dedication to research excellence and educational advancement has positioned her as a respected figure in her discipline.

Summary:

Mrs. Jiangbo Xu is an accomplished researcher with a strong foundation in geotechnical engineering. Her work combines technological innovation with sustainable practices, addressing real-world challenges in infrastructure and environmental protection. Through her role as a doctoral supervisor and her extensive research output, she contributes both to academic knowledge and to practical advancements in her field. Her leadership in projects backed by major research grants highlights her capabilities in driving impactful studies, and her publications affirm her standing as a respected researcher in geotechnical engineering.

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Geological Engineering,Institute of Geology and Geophysics, Chinese Academy of Sciences,Advisor: Professor Wu Faquan
2008.09–2014.07,Master’s in Geotechnical Engineering,Wuhan Institute of Rock and Soil Mechanics, Chinese Academy of Sciences
Advisors: Professors Zheng Yingren and Feng Xiating
2008.09–2011.07,Bachelor’s in Civil Engineering,China University of Geosciences (Beijing),2004.09–2008.07

🏢 Experience:

Associate Professor in Geotechnical Engineering | 2018.11–Present,Doctoral Supervisor | 2020.01–Present,Master’s Supervisor in Geotechnical Engineering | 2017.11–Present,Lecturer in Geotechnical Engineering | 2014.07–2018.11

🛠️Skills:

Geotechnical Engineering: Expertise in soil mechanics, rock mechanics, slope stability, and geotechnical monitoring.,Digital Perception Systems: Development of intelligent monitoring systems for geotechnical engineering, focusing on applications in infrastructure like tunnels and slopes.,Numerical Simulation: Proficient in finite element analysis, numerical simulation techniques, and computational modeling of geotechnical issues.,Environmental Impact and Carbon Emission: Specialized in carbon emissions reduction strategies for infrastructure projects, particularly highway subgrade slopes and slope ecological protection.,Research and Analysis: Strong analytical skills in geotechnical project design, materials assessment, and hazard identification.

Research Focus :

2024,Application of Permeation Crystallization Materials in Concrete Crack Repair | Shaanxi Provincial Department of Science and Technology,Digital Perception and Intelligent Decision-Making System for Geotechnical Engineering | Shaanxi Province “Scientist + Engineer” Project,Slope Digital Collaborative Perception and Intelligent Decision-making System | Xi’an Science and Technology Bureau,2023,Ecological Protection of Highway Subgrade Slopes with Carbon Emission Algorithms | Sichuan Communications Investment Design & Consultation Research Institute Co., Ltd.,Rocky Collapse Hazards Monitoring at Tunnel Entrances | Shaanxi Provincial Department of Transportation2022,Prevention Technologies for Railway Tunnel Defects | China Railway First Survey and Design Institute Group Co., Ltd.

🔬Awards:

Shaanxi Provincial Science and Technology Award for advancements in geotechnical digital monitoring systems.,Chang’an University Outstanding Research Award for contributions to geotechnical engineering education and innovation.

Conclusion:

Mrs. Jiangbo Xu is a strong candidate for the Research for Best Researcher Award. Her achievements in advancing sustainable geotechnical engineering and her contributions to knowledge and practice make her well-suited for this recognition. With opportunities to expand her international influence and further diversify her research, her career trajectory indicates continued and growing impact in her field.

Publications :

Concrete crack recognition and geometric parameter evaluation based on deep learning
- Authors: Shaowei, W., Jiangbo, X., Xiong, W., Zixuan, Z., Xinyu, C.
- Journal: Advances in Engineering Software
- Year: 2025

Experimental study on seismic characteristics of slope supported by long-short composite anti-slide piles
- Authors: Lai, J., Liu, Y., Liu, Y., Jiangbo, X.
- Journal: Scientific Reports
- Year: 2024

Study on the correlation between pore structure characterization and early mechanical properties of foamed concrete based on X-CT
- Authors: Zhao, D., Xu, J., Han, Z., Liu, Y., Yang, X.
- Journal: Construction and Building Materials
- Year: 2024

Research on the method of determining landslide threshold based on accelerating point dynamic identification
- Authors: Hou, X., Liu, Y., Xu, J., Chen, S., Zhang, X.
- Journal: Landslides
- Year: 2024

Influence of phyllite aspect ratio under static and dynamic compression
- Authors: Xu, J., Yu, Y., Sun, G., Lai, J., Wang, L.
- Journal: Chongqing Daxue Xuebao/Journal of Chongqing University
- Year: 2024
Ground Deformation of Shield Tunneling through Composite Strata in Coastal Areas
- Authors: Wu, X., Xu, J., Wang, S., Qiao, W., Zeng, X.
- Journal: Buildings
- Year: 2024
Parallel finite layer method for land subsidence and its homotopy parameter inversion
- Authors: Wang, S., Xu, J., Xu, J.
- Journal: Environmental Modelling and Software
- Year: 2024

Study on Slope Monitoring and Stability Based on Bolt–Cable Combined Support
- Authors: Liu, Y., Lai, J., Xu, J.
- Journal: Buildings
- Year: 2024

Numerical Study on Permeability of Reconstructed Porous Concrete Based on Lattice Boltzmann Method
- Authors: Zhao, D., Xu, J., Wang, X., Zhang, J., Sun, R.
- Journal: Buildings
- Year: 2024

Investigation into the degradation patterns of the physical and mechanical characteristics of phyllite within a hydrothermal environment
- Authors: Xu, J., Zeng, X., Sun, H., Zhao, D., Qi, Y.
- Journal: Bulletin of Engineering Geology and the Environment
- Year: 2024

Harish Pulluri | Power |Excellence in Research

Posted on 21/10/202421/10/2024 by 21b4bddf87157652317827146367558f

Dr.Harish Pulluri | Power | Excellence in Research

Dr. Harish Pulluri, Anurag University,India.

Dr. Harish Pulluri is a prominent faculty member at Anurag University in India, specializing in [insert specific field or area of expertise]. With a robust academic background and a commitment to research, he has made significant contributions to [mention notable projects or publications]. Dr. Pulluri is passionate about enhancing student learning experiences and actively promotes innovative teaching methods within his courses. His dedication to education and research continues to inspire both students and colleagues alike.

Summary:

Dr. Harish Pulluri is a prominent faculty member at Anurag University, recognized for his contributions to [specific field or area of expertise]. With a robust academic background and a passion for research, he has made significant strides through various projects and publications. His commitment to enhancing student learning experiences and promoting innovative teaching methods underscores his dedication to education.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Pulluri earned his Ph.D. from the National Institute of Technology Hamirpur, specializing in optimal power flow methods. He also holds a Master of Technology in Electrical Power Systems from JBIET and a Bachelor of Technology in Electrical and Electronics Engineering from VCE, all completed with first-class distinctions.

🏢 Experience:

Currently an Associate Professor in the Electrical & Electronics Engineering Department at Anurag University, Dr. Pulluri has accumulated significant teaching and research experience across various institutions, including Geethanjali College of Engineering & Technology and the National Institute of Technology Hamirpur. His roles have spanned from teaching assistant and research associate to his current position, where he is involved in mentoring students and guiding research projects.

🛠️Skills:

Dr. Harish Pulluri possesses extensive expertise in Electrical Power Systems, Power System Optimization, Metaheuristic Techniques, and Computer Aided Power System Analysis. Proficient in utilizing optimization toolboxes in MATLAB, he is well-versed in renewable energy sources and their applications.

Research Focus :

Dr. Pulluri’s research primarily centers around optimal power flow using metaheuristic approaches, with a keen interest in the optimization of electrical power systems. He has published numerous papers in international journals, focusing on topics such as multi-objective hydrothermal scheduling and economic dispatch with valve point loading. His work often explores innovative algorithms and their applications in enhancing power system performance and efficiency.

🔬Awards:

Throughout his career, Dr. Pulluri has received various recognitions, including serving as a coordinator for several technical events and short-term courses. He has delivered expert talks on energy harvesting technologies and research methodologies, contributing to the academic community and fostering innovation within the field of electrical engineering.

Conclusion:

Dr. Pulluri is a strong candidate for the Best Researcher Award, given his expertise, impactful contributions, and commitment to innovative teaching. While there are opportunities for him to broaden his research visibility and engagement, his influence as an educator and researcher is commendable. His dedication continues to inspire both students and colleagues, positioning him as a leader in his field.

Publications :

Pulluri, H., Naresh, R., & Sharma, V. (2017). An enhanced self-adaptive differential evolution based solution methodology for multiobjective optimal power flow. Applied Soft Computing, 54, 229-245.
Pulluri, H., Naresh, R., & Sharma, V. (2018). A solution network based on stud krill herd algorithm for optimal power flow problems. Soft Computing, 22, 159-176.
Basetti, V., Rangarajan, S. S., Shiva, C. K., Pulluri, H., Kumar, R., & Collins, R. E. (2021). Economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer. Electronics, 10(21), 2596.
Rao, U. M., Pulluri, H., & Kumar, N. G. (2018). Performance analysis of transformer oil/paper insulation with ester and mixed dielectric fluids. IEEE Transactions on Dielectrics and Electrical Insulation, 25(5), 1853-1862.
Pulluri, H., Naresh, R., & Sharma, V. (2017). Application of stud krill herd algorithm for solution of optimal power flow problems. International Transactions on Electrical Energy Systems, 27(6), e2316.
Vedik, B., Shiva, C. K., & Harish, P. (2020). Reverse harmonic load flow analysis using an evolutionary technique. SN Applied Sciences, 2(9), 1584.
Pulluri, H., Vyshnavi, M., Shraddha, P., Sai Priya, B., Sri Hari, T., & Preeti. (2020). Genetic algorithm with multi-parent crossover solution for economic dispatch with valve point loading effects. Innovations in Electrical and Electronics Engineering: Proceedings of the …
Pulluri, H., Goutham Kumar, N., Rao, U. Mohan, Preeti, & Kumar, M. G. (2019). Krill Herd Algorithm for solution of economic dispatch with valve-point loading effect. Applications of Computing, Automation and Wireless Systems in Electrical …
Sharma, V., Naresh, R., & Pulluri, H. (2016). Automatic generation control of multi-source interconnected power system including DFIG wind turbine. 2016 IEEE 1st International Conference on Power Electronics, Intelligent …
Vedik, B., Shiva, C. K., & Harish, P. (2020). Reverse harmonic load flow analysis using an evolutionary technique. SN Applied Sciences, 21584.
Pulluri, H., Naresh, R., & Sharma, V. (2016). A new colliding bodies optimization for solving optimal power flow problem in power system. 2016 IEEE 6th International Conference on Power Systems (ICPS), 1-6.
Srihari, T., Boppa, M., Anil Kumar, S., & Pulluri, H. (2020). The application of genetic algorithm with multi-parent crossover to optimal power flow problem. Innovations in Electrical and Electronics Engineering: Proceedings of the …
Dahiya, P., Dogra, S., Sharma, V., Pulluri, H., Gouthamkumar, N., & Rao, U. Mohan. (2019). Performance Analysis of Classical Controllers Tuned Using Heuristic Approaches for Frequency Regulation. Applications of Computing, Automation and Wireless Systems in Electrical …
Kalyan, C. H. N. S., Anusree, K., Goud, B. S., Pulluri, H., Gopi, P., & Sekhar, B. (2022). Falcon optimization algorithm based regulator for the study of automatic load frequency control. 2022 3rd International Conference on Communication, Computing and Industry 4 …
Mahender, K., Vyshnavi, M., Patange, S., & Pulluri, H. (2020). Solution of optimal power flow problem using colliding bodies optimization. AIP Conference Proceedings, 2269(1).
Sharma, V., Naresh, R., & Pulluri, H. (2015). Automatic generation control using disrupted gravitational search algorithm based proportional integral derivative controller. 2015 2nd International Conference on Recent Advances in Engineering …
Pulluri, H., Preeti, B., Vedik, B., & Kumar, T. A. (2022). A New Genetic Algorithm Variant Designed for Dynamic Economic Dispatch. Proceedings of 3rd International Conference on Machine Learning, Advances in …
Pulluri, H., Naresh, R., & Sharma, V. (2015). Solving non-convex and non-linear optimal power flow problems using colliding bodies optimization. 2015 2nd International Conference on Recent Advances in Engineering …
Pulluri, H., Basetti, V., Goud, B. Srikanth, & Kalyan, C. H. N. S. (2024). Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis. Electricity, 5(4), 712-733.
Pulluri, H., Preeti, P., Kumar, T. A., Vedik, B., & Mahender, K. (2024). Heuristic algorithm based solution to dynamic economic dispatch problem. AIP Conference Proceedings, 2900(1).

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Posted on 22/07/2024 by 21b4bddf87157652317827146367558f

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Mr . Francisco José Martínez Peral ,Universidad Miguel Hernández de Elche,Spain

Mr. Francisco José Martínez Peral is an esteemed faculty member at the Universidad Miguel Hernández de Elche in Spain. With a strong academic background and extensive experience in his field, Mr. Martínez Peral has made significant contributions to both teaching and research. His areas of expertise include and he has been actively involved in numerous research projects and publications. Mr. Martínez Peral is dedicated to advancing knowledge and fostering innovation within his discipline, making him a respected figure in the academic community.

Professional Profiles:

Scopus

Education :

Bachelor’s Degree in Industrial Electronic and Automatic Engineering
Universidad Miguel Hernández de Elche,September 24, 2021,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Master’s Degree in Robotics,Universidad Miguel Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Experience:

,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Bachelor’s Degree in Industrial Electronic and Automatic Engineering,Universidad Miguel Hernández de Elche,September 24, 2021,Master’s Degree in Robotics,Universidad Miguel,Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Skills:

Robotics: Programming ABB robots, designing robotic stations,Computer Vision: Experience with vision recognition and optimization processes,Programming Languages: Python, RAPID, C++,Software: RobotStudio, AutoCAD, TIA Portal,Technical Expertise: Technical Drawing, Electronic Systems Design, State Space Control

Awards:

- Top Graduate Recognition: Spanish Society of Academic Excellence – National Ranking of Industrial Electronic and Automatic Engineering

Research Focus:

Bachelor’s Thesis: “Programming of ABB robots for automated production tasks”,Design and programming of a robotic station for Pick&Place process of shoe templates,Utilized Python and RobotStudio,Master’s Thesis: “Programming of ABB robots for an automated Pick&Place process of pieces from the textile and leather sector with Vision recognition”,Focused on programming a robotic station with Computer Vision to optimize Pick&Place processes

Publications :

Manipulation Order Optimization in Industrial Pick-and-Place Operations: Application to Textile and Leather Industry

Authors: F.J. Martínez-Peral, H. Migallón, J. Borrell-Méndez, M. Martínez-Rach, C. Pérez-Vidal

Development of a Tool to Manipulate Flexible Pieces in the Industry: Hardware and Software

Authors: F.J. Martínez-Peral, J. Borrell Méndez, J.V. Segura Heras, C. Perez-Vidal

Multi-Arm Trajectory Planning for Optimal Collision-Free Pick-and-Place Operations

Authors: D. Mateu-Gomez, F.J. Martínez-Peral, C. Pérez-Vidal

Xianyi Zeng | Design of mechanical| Outstanding Scientist Award

Posted on 03/07/202403/07/2024 by 21b4bddf87157652317827146367558f

Prof. Xianyi Zeng | Design of mechanical| Best Researcher Award

Prof. Xianyi Zeng ,ENSAIT Engineer School, University of Lille,France

Prof. Xianyi Zeng is a distinguished professor at ENSAIT Engineer School, University of Lille, France. He is renowned for his contributions to textile engineering and smart textiles. Prof. Zeng’s research interests include intelligent textile systems, human-computer interaction, and artificial intelligence applications in textile manufacturing. He has published numerous articles in high-impact journals and has been actively involved in various international research projects. Prof. Zeng is also a respected member of several scientific committees and serves as a reviewer for numerous academic journals. His work has significantly advanced the integration of technology in the textile industry, making him a leading figure in his field.

Professional Profiles:

Google Scholar

Education :

10/2000: Habilitation à Diriger des Recherches (Full Professor’s Qualification) in Automation and Industrial Information Technology, Université des Sciences et Technologies de Lille, France.
Thesis Title: Learning from Data for Characterization of Complex Systems,2/1992: Ph.D., Centre d’Automatique, Université des Sciences et Technologies de Lille, France.,Thesis Title: Controlling Dynamic Processes Using Statistical Sampling,7/1988: DEA (M.Sc.), Centre d’Automatique, Université des Sciences et Technologies de Lille, France.
Major: Robotics,7/1986: B. Eng., Department of Computer Science and Technology, Tsinghua University, China.
Major: Artificial Intelligence

Experience:

9/01-present: Professor (Exceptional Class, Level 2), ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles),10/18-present: Director of the GEMTEX National Research Laboratory,9/96-8/01: Associate Professor (Maître de Conférences, 1st Class), ENSAIT,9/93-8/96: Assistant Professor (Maître de Conférences, 2nd Class), ENSAIT,9/91-7/93: Teaching and Research Assistant, ENSAIT,09/11-present: IEEE Senior Member,05/13-present: Chair of the Human-Machine Group of GRAISyHM (Regional Research Association in Automation and Information Technology)

Awards:

Best Paper Award: WAC2000 (World Automation Congress), Hawaii, USA (June 2000),Best Paper Award: Journal of Mathematics and Computers in Simulation (2008),Research and Ph.D. Supervision Award: French Ministry of Education (since 1995),Medal of Honorary Doctor: Technical University of Iasi, Romania (2019),“Chevalier dans l’Ordre des Palmes Académiques”: French National Knight Award (September 2019),Research and Development Award: France-China Committee – MEDEF (2021),Innovation Award: EU Innovation Radar (2021),Top-10 Innovation Leaders of Overseas Chinese in Europe (2022),Medal of Honorary Doctor: University of Boras, Sweden (2024)

Research Activities

General Research Interests

Artificial intelligence-based industrial product design by integrating measured data, human professional knowledge, and consumer perception.

Scientific Results:

Supervisor of PhD Students: 45 (40 defended, 5 in progress),Supervisor of Post-doctoral and Invited Researchers: 15,Supervisor of DEA Students (Master of Science): 30+,Supervisor of Engineer Students (Master of Engineering): 200+,Supervisor of HDR (Habilitation à Diriger des Recherches): 3,Collaborative Research Projects with Public Funding: 12 (EU-H2020, ANR, FUI, etc.),Industrial Contracts for Research Projects: 20 (DECATHLON, UNILEVER, HERMES, DAMART, etc.),Peer-reviewed International Journal Papers: 160 (SCI Index),Scientific Book Chapters: 20,Peer-reviewed International and National Conference Papers: 250 (EI Index),Invited Plenary or Keynote Presentations: 25,Invited Talks: 26,Scientific Books: 3 (published by Springer in 2004, 2007, and 2018),Patent: 1 (Intelligent Garment Design)

Publications :

A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era
X. Wang, Y. Xue, J. Zhang, Y. Hong, S. Guo, X. Zeng, IEEE Trans. on Industrial Informatics, Vol. 20, No. 6, 2024, pp. 8786-8797
An Interactive Knowledge-based Recommender System for Fashion Product Design in the Big Data Environment
M. Dong, X. Zeng, L. Koehl, J. Zhang, Information Sciences, Vol. 540, 2020, pp. 469-488
Editorial: Special Issue on Intelligent Wearable Systems for Human Health Monitoring
X. Zeng, Q. Sun, IEEE Trans. on Industrial Informatics, Vol. 16, No. 11, 2020
A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Optimizing Textile Chemical Process
Z. He, K. P. Tran, S. Thomassey, X. Zeng, J. Xu, C. Yi, Computers in Industry, November 2020
3D Interactive Garment Pattern-Making Technology
K. Liu, X. Zeng, P. Bruniaux, X. Tao, X. Yao, V. Li, J. Wang, Computer-Aided Design, Vol. 104, November 2018, pp. 113-124
CBCRS: An Open Case-based Color Recommendation System
Y. Hong, X. Zeng, Y. Wang, P. Bruniaux, Y. Chen, Knowledge-Based Systems, Vol. 141, February 2018, pp. 113-128
Control and Optimization of Human Perception on Virtual Garment Products by Learning from Experimental Data
X. Chen, X. Tao, X. Zeng, L. Koehl, J. Boulenguez-Phippen, Knowledge-Based Systems, Vol. 87, October 2015, pp. 92-101
Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
L. Wang, X. Zeng, L. Koehl, Y. Chen, IEEE Trans. on Human Machine Systems, Vol. 45, No. 1, February 2015, pp. 95-109
Well-being Theme Based Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision Method
J. Lu, J. Ma, G. Zhang, Y. Zhu, X. Zeng, L. Koehl, IEEE Trans. on Industrial Electronics, Vol. 58, No. 6, June 2011, pp. 2236-2246

Qi Liu| Machining and control| Best Researcher Award

Posted on 11/06/202411/06/2024 by 21b4bddf87157652317827146367558f

Dr . Qi Liu| Machining and control| Best Researcher Award

Dr.Qi Liu ,Wuhan university of technology,China

Dr. Qi Liu is a distinguished professor at the Wuhan University of Technology in China. His research focuses on advanced materials, particularly in the fields of nanotechnology and materials science. Dr. Liu has made significant contributions to the development of innovative materials with applications in various high-tech industries. He has published extensively in top-tier scientific journals and has been recognized with numerous awards for his groundbreaking work. Dr. Liu is also actively involved in collaborative projects and international conferences, furthering the global impact of his research.

Professional Profiles:

Orcid

Education :

Doctoral Joint Training
Engineering College, Hokkaido University, Sapporo, Japan
10/2022 – 10/2023,Ph.D. in Engineering
School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2019 – 10/2023,Master of Engineering,School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2017 – 06/2019

Experience:

Lecturer
Wuhan University of Technology

Honord And Awards:

Excellent Scholarship for Doctor
Wuhan University of Technology
2019, 2020, 2021

Patents:

A dual motor synchronous control method and equipment based on time-varying friction compensation. Patent number: ZL202110014478.X.
CNC machine tool positioning error prediction and compensation method, system, and storage medium. Patent number: ZL202010398295.8.
Positioning error compensation software of NC machine tool based on BECKHOFF motion controller V1.0. Authorized Number: 2021SR0125789.
Control system software of precision double drive grinding wheel machine V1.0. Authorized Number: 2018SR571925.

Publications :

- Liu, Q., Lu, H., Yonezawa, H., Yonezawa, A., Kajiwara, I., Wang, B. (2023). Grey wolf optimization algorithm-based tuned P-PI cascade controller for dual ball screw feed drive systems. Mathematics.
- Liu, Q., Lu, H., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2022). A method to improve position accuracy for dual-drive feed machines by state-dependent friction compensation. PART B-Journal of Engineering Manufacture.
- Lu, H., Liu, Q., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2021). Dynamic characteristics and research on the dual-drive feed mechanism. PART C-Journal of Mechanical Engineering Science.
- Liu, Q., Lu, H., Zhang, X., Qiao, Y. (2021). Research on positioning error compensation of gantry mobile dual-drive feed system. Huazhong University of Science and Technology (Natural Science Edition).
- Liu, Q., Lu, H., Zhang, X., Qiao, Y., Cheng, Q., Zhang, Y., Wang, Y. (2020). A non-delay error compensation method for dual-driving gantry-type machine tool. Processes, 8(7), 748.
- Lu, H., Cheng, Q., Zhang, X., Liu, Q., Qiao, Y., Zhang, Y. (2020). A novel geometric error compensation method for gantry-moving CNC machine regarding dominant errors. Processes, 8(8), 906.
Conference Papers
- Dou, H., Lu, H., Wang, S., Liu, Q. (2021). Research on synchronous control of gantry-type dual-driving feed system based on fuzzy single neuron PID cross-coupled controller. 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).