Search scope:
排序: Display mode:
Strain and process engineering toward continuous industrial fermentation
Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10, Pages 1336-1353 doi: 10.1007/s11705-022-2284-6
Keywords: continuous fermentation productivity contamination strain degeneration metabolic engineering
Applications of the crystallization process in the pharmaceutical industry
Sohrab ROHANI
Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 1, Pages 2-9 doi: 10.1007/s11705-009-0297-z
Keywords: feedback morphology pulmonary paracetamol recognition
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 237-250 doi: 10.1007/s11705-021-2058-6
Keywords: model predictive control black-box modeling continuous-time system identification machine learning industrialapplications of process control
Huosheng Li, Hongguo Zhang, Jianyou Long, Ping Zhang, Yongheng Chen
Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 4, doi: 10.1007/s11783-019-1130-7
Addition of alkali to pH 10 is effective for precipitation of precipitable metals. Fenton treatment is effective for substantial removal of Tl, Cd, Cu, Pb, and Zn. Sulfide precipitation is a final step for removal of trace Tl, Cd, Cu, Pb, and Zn. Bench and pilot studies demonstrated the effectiveness of this combined technique.
Keywords: Thallium Pilot Fenton Sulfide precipitation Heavy metal Industrial wastewater
Mirosɬaw J. Skibniewski
Frontiers of Engineering Management 2014, Volume 1, Issue 3, Pages 246-259 doi: 10.15302/J-FEM-2014034
Keywords: automation international research journal research trends industrial safety engineering and management
WANG Lin, HE Yunliang, WANG Yanfei, BAO Ying, WANG Jingkang
Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 4, Pages 385-389 doi: 10.1007/s11705-008-0079-z
Keywords: industrial production chemical industrial produced magnesium chloride production impurity carnallite
Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence Perspective
Tao Yang, Xinlei Yi, Shaowen Lu, Karl H. Johansson, Tianyou Chai
Engineering 2021, Volume 7, Issue 9, Pages 1224-1230 doi: 10.1016/j.eng.2021.04.023
Based on the analysis of the characteristics and operation status of the process industry, as wellindustry, namely, deep integration of industrial artificial intelligence and the Industrial Internetwith the process industry, is proposed.This paper analyzes the development status of the existing three-tier structure of the process industrycontrol system, and examines the decision-making, control, and operation management adopted by process
Keywords: Industrial artificial intelligence Industrial Internet Intelligent manufacturing Process industry
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6, Pages 1023-1029 doi: 10.1007/s11705-022-2142-6
Keywords: machine learning modeling material industrial applications environment
Current understanding and applications of the cold sintering process
Tong Yu, Jiang Cheng, Lu Li, Benshuang Sun, Xujin Bao, Hongtao Zhang
Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 4, Pages 654-664 doi: 10.1007/s11705-019-1832-1
Keywords: cold sintering process processing variables solid-state rechargeable batteries
Research on Treatment Technology for the Industrial Wastewaters With High Concentration in China
Sun Peishi,Qian Biao,Hong Pinjie,Harada Yoshiaki,Yang Ying,Hao Yukun
Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 68-73
By using the introduced CWO technology and its 200 L/d plant, more than 10 kinds of industrial wastewatersresults showed that the CWO technology and its equipment had a good applicability for treating the industrialOne set of CWO — 20 m3/d industrial plant, as a demonstration engineering installation20 m3/d plant displayed a favorable treatment capability for the bio-degradedly difficult industrialThe treated wastewater could meet the discharge standard and the treatment process with CWO technology
Keywords: catalytic wet oxidation process (CWO) industrial wastewaters with high concentration technology process
Sophie L. Pirard, Sigrid Douven, Jean-Paul Pirard
Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2, Pages 280-289 doi: 10.1007/s11705-017-1635-1
Keywords: carbon nanotubes catalytic chemical vapor deposition inclined rotating reactor industrial process scaling-up
A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring Article
Chunhua Yang, Huiping Liang, Keke Huang, Yonggang Li, Weihua Gui
Engineering 2021, Volume 7, Issue 9, Pages 1262-1273 doi: 10.1016/j.eng.2020.08.028
Data-driven process-monitoring methods have been the mainstream for complex industrial systems dueIn fact, due to the harsh environment of industrial systems, the
collected data from real industrialenvironments, a robust transfer dictionary learning (RTDL) algorithm is proposed in this paper for industrialprocess monitoring.Extensive experiments including a numerical simulation and two industrial systems are conducted to verify
Keywords: Process monitoring Multimode process Dictionary learning Transfer learning
SO2 Removal Experiment from Industrial-scale Flue Gas Using Pulsed Corona Process
Zhao Junke,Wang Baojian,Ren Xianwen,Zhu Zuliang
Strategic Study of CAE 2002, Volume 4, Issue 2, Pages 74-78
Keywords: pulsed corona discharge SO2 removal industrial-scale test
Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying
Zhang Chenghui
Strategic Study of CAE 2001, Volume 3, Issue 11, Pages 54-59
A new estimation method based on modified performance index is proposed for time-varying process to
Keywords: parameter estimation method of calculation least square method time-varying system industrial production
Study of zeolite membranes for pervaporation dehydration and their applications
Gu Xuehong,Xu Nanping
Strategic Study of CAE 2014, Volume 16, Issue 12, Pages 52-58
Keywords: pervaporation zeolite membrane organic dehydration industrial application
Title Author Date Type Operation
Applications of the crystallization process in the pharmaceutical industry
Sohrab ROHANI
Journal Article
An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system
Journal Article
Combined Fenton process and sulfide precipitation for removal of heavy metals from industrial wastewater
Huosheng Li, Hongguo Zhang, Jianyou Long, Ping Zhang, Yongheng Chen
Journal Article
Research Trends in Information Technology Applications in Construction Safety Engineering and Management
Mirosɬaw J. Skibniewski
Journal Article
Green process to recover magnesium chloride from residue solution of potassium chloride production plant
WANG Lin, HE Yunliang, WANG Yanfei, BAO Ying, WANG Jingkang
Journal Article
Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
Tao Yang, Xinlei Yi, Shaowen Lu, Karl H. Johansson, Tianyou Chai
Journal Article
Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects
Journal Article
Current understanding and applications of the cold sintering process
Tong Yu, Jiang Cheng, Lu Li, Benshuang Sun, Xujin Bao, Hongtao Zhang
Journal Article
Research on Treatment Technology for the Industrial Wastewaters With High Concentration in China
Sun Peishi,Qian Biao,Hong Pinjie,Harada Yoshiaki,Yang Ying,Hao Yukun
Journal Article
Large-scale industrial manufacturing of carbon nanotubes in a continuous inclined mobile-bed rotatingreactor via the catalytic chemical vapor deposition process
Sophie L. Pirard, Sigrid Douven, Jean-Paul Pirard
Journal Article
A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring
Chunhua Yang, Huiping Liang, Keke Huang, Yonggang Li, Weihua Gui
Journal Article
SO2 Removal Experiment from Industrial-scale Flue Gas Using Pulsed Corona Process
Zhao Junke,Wang Baojian,Ren Xianwen,Zhu Zuliang
Journal Article
Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying
Zhang Chenghui
Journal Article