2022 - Research.com Engineering and Technology in New Zealand Leader Award
Xun Xu mainly focuses on Manufacturing engineering, Cloud manufacturing, STEP-NC, Nanotechnology and Numerical control. The various areas that Xun Xu examines in his Manufacturing engineering study include Sustainable design, Structure and Manufacturing process. His studies in Cloud manufacturing integrate themes in fields like Computer-integrated manufacturing, Engineering management, Industry 4.0, Scheduling and Process management.
His Process management research includes themes of Resource, Service provider, Cloud computing and Service. His biological study spans a wide range of topics, including Data modeling, Engineering drawing, Machine tool and Interoperability. The study incorporates disciplines such as Porous carbon, Electrochemistry, Honeycomb structure and Chemical stability in addition to Nanotechnology.
The scientist’s investigation covers issues in Manufacturing engineering, Machining, Condensed matter physics, STEP-NC and Superconductivity. His research in Manufacturing engineering intersects with topics in Cloud manufacturing and Process. Xun Xu has researched Cloud manufacturing in several fields, including Manufacturing and Process management.
Xun Xu combines subjects such as Interface and Machine tool with his study of Machining. His research investigates the connection between STEP-NC and topics such as Engineering drawing that intersect with problems in Process. In his research on the topic of Process development execution system, Cloud computing is strongly related with Integrated Computer-Aided Manufacturing.
His main research concerns Nanotechnology, Chemical engineering, Industry 4.0, Energy transformation and Personalization. His Nanotechnology study combines topics from a wide range of disciplines, such as Electrocatalyst, Absorption, Near-infrared spectroscopy, Material Design and Liquid metal. He has included themes like Anode, Metal, Nonmetal and Sodium in his Chemical engineering study.
His study in Industry 4.0 is interdisciplinary in nature, drawing from both Agile software development and Digital transformation. His work in Reference model covers topics such as Information and Communications Technology which are related to areas like Manufacturing engineering. His Manufacturing engineering research is multidisciplinary, incorporating elements of Cloud manufacturing, Machine tool and Interoperability.
His primary areas of study are Chemical engineering, Nanotechnology, Industry 4.0, Water splitting and Transition metal. His Chemical engineering research is multidisciplinary, incorporating perspectives in Nanodot, Sodium, Sodium–sulfur battery and Sulfur utilization. His Nanotechnology research incorporates elements of Photocatalysis, Material structure, Energy transformation, Absorption and Near-infrared spectroscopy.
His work deals with themes such as Digital transformation and Industrial organization, which intersect with Industry 4.0. His Water splitting study integrates concerns from other disciplines, such as Electrocatalyst, Lithium cobalt oxide, Platinum, Hydrogen production and Material Design. His study looks at the relationship between Transition metal and topics such as Selectivity, which overlap with Metal.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
From cloud computing to cloud manufacturing
Robotics and Computer-integrated Manufacturing (2012)
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Ray Y. Zhong;Xun Xu;Eberhard Klotz;Stephen T. Newman.
Sulfur-graphene composite for rechargeable lithium batteries
Jia-Zhao Wang;Lin Lu;Mohammad Choucair;John A. Stride;John A. Stride.
Journal of Power Sources (2011)
Computer-aided process planning-A critical review of recent developments and future trends
Xun Xu;Lihui Wang;Stephen T. Newman.
Making CNC machine tools more open, interoperable and intelligent: a review of the technologies
X. W. Xu;S. T. Newman.
Striving for a total integration of CAD, CAPP, CAM and CNC
X.W Xu;Q He.
Robotics and Computer-integrated Manufacturing (2004)
Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives
Pai Zheng;Honghui wang;Zhiqian Sang;Runyang Zhong.
Frontiers in Mechanical Engineering (2018)
An interoperable solution for Cloud manufacturing
Xi Vincent Wang;Xun W. Xu.
Robotics and Computer-integrated Manufacturing (2013)
STEP-compliant NC research: the search for intelligent CAD/CAPP/CAM/CNC integration
Xun W. Xu;H Wang;Jian Mao;S T. Newman.
Industry 4.0 and Cloud Manufacturing: A Comparative Analysis
Yongkui Liu;Xun Xu.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2017)
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