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Numerical simulation and experimental research on the wheel brush sampling process of an asteroid sampler

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0732-0

Abstract: The parameter calibration of the sampled particles is studied first, and the calibrated particle parametersare obtained for the working conditions of different rotation speeds, and the effects of different parameter

Keywords： asteroid sampling     wheel brush sampler     discrete element method     parameter calibration     experimental    

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A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 874-885 doi: 10.1007/s11705-021-2131-1

Abstract: The flow behaviours of cohesive particles in the ring shear test were simulated and examined using discrete element method guided by a design of experiments methodology. A full factorial design was used as a screening design to reveal the effects of material properties of partcles. An augmented design extending the screening design to a response surface design was constructed to establish the relations between macroscopic shear stresses and particle properties. It is found that the powder flow in the shear cell can be classified into four regimes. Shear stress is found to be sensitive to particle friction coefficient, surface energy and Young’s modulus. A considerable fluctuation of shear stress is observed in high friction and low cohesion regime. In high cohesion regime, Young’s modulus appears to have a more significant effect on the shear stress at the point of incipient flow than the shear stress during the pre-shear process. The predictions from response surface designs were validated and compared with shear stresses measured from the Schulze ring shear test. It is found that simulations and experiments showed excellent agreement under a variety of consolidation conditions, which verifies the advantages and feasibility of using the proposed “Sequential Design of Simulations” approach.

Keywords： discrete element method     cohesive materials     parameter calibration     ring shear cell     design of experiments    

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Development of a novel hand−eye calibration for intuitive control of minimally invasive surgical robot

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0698-y

Abstract: Obtaining the transformation with respect to the laparoscope and robot slave arm frames using hand−eye calibrationWe proposed a novel two-step modified dual quaternion for hand−eye calibration in this study.The dual quaternion was exploited to solve the hand−eye calibration simultaneously and powered by anThe obtained hand−eye calibration result was applied to the intuitive control by using the hand−eye coordinationResults demonstrate this method can improve the calibration accuracy.

Keywords： minimally invasive surgery     hand−eye calibration     intuitive control     surgical robot     dual quaternion    

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Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 100-107

Abstract: justify;">While Xin'anjiang model is applied to simulate hydrograph, the "best"  parameterConsidering previously parameter optimization of Xin'anjiang model, there is only a unique "best"  parameter set to be found and it doesn't describe uncertainty of parameter.The results of calibration and validation indicate that it is feasible and effective for optimization

Keywords： Xin'anjiang model     calibration parameter     uncertainty assessment     SCEM-UA    

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Development of an onsite calibration device forrobot manipulators Research Article

Ziwei WAN, Chunlin ZHOU, Haotian ZHANG, Jun WU

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 217-230 doi: 10.1631/FITEE.2200172

Abstract: During the calibration procedure, the robot manipulator first moves automatically to multiple end-effectorThe relative mounting positions are accurately measured and used as prior information to improve calibrationThe results of theoretical analysis indicate that MultiCal reduces calibration accuracy by 10% to 20%The results of a calibration experiment conducted on a Staubli TX90 robot show that MultiCal has only7% to 14% lower calibration accuracy compared to a measuring arm with a laser scanner, and 21% to 30%

Keywords： Calibration device     Kinematic calibration     Onsite calibration     Absolute accuracy    

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Remote calibration system for frequency based on in-place benchmark

Xiaobin HONG, Guixiong LIU, Zhuokui WU, Xipeng DU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 316-321 doi: 10.1007/s11465-010-0021-1

Abstract: According to the deficiencies of remote calibration mode based on material object reference, a new modelof a remote calibration system for frequency based on in-place benchmark is introduced, which is madeof a calibration subsystem on the spot and a remote management subsystem.The key technology of some key problems for the remote calibration system is particularly discussed,a phase method, frequency division based on dual high-frequency phase locked loop (PLL), and remote calibration

Keywords： remote calibration     in-place benchmark     frequency comparison     global position system (GPS)    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging and plays a key role in improving the bead geometry and welding quality. This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding parameters. An inverse proportional weighting method that considers the leave-one-out prediction error is presented to construct EM, which incorporates the competitive strengths of three metamodels. EM constructs the correlation between processing parameters (laser power, welding speed, and distance defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errors of 10.95%, 7.04%, 7.63%, and 8.62%, respectively. On the basis of EM, MOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors are less than 14.67%. Furthermore, the main effect and the interaction effect of processing parameters on bead geometries are studied. Results demonstrate that the proposed EM-MOABC is effective in guiding actual fiber LBW applications.

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: The particle swarm optimization method based on informative value is proposed for kinematic parameterThe method identifies parameters in the modified kinematic model stepwise according to parameter discernibilityBy applying the calibration method, a reasonable, reliable forward kinematic model is built, and the

Keywords： ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particle swarm optimization     informative value    

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration

Keywords： thermal expansion     image measurement     edge detection     image calibration    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: The 2 × 1000 MW ultra-supercritical steam turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload control through an overload valve, is manufactured by Shanghai Turbine Company using Siemens technology. Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding pressure operation. At high circulating water temperature, the turbine overload valve is kept closed when the unit load is lower than 1000 MW while at other circulating water temperatures the turbine can run in sliding pressure operation when the unit load is higher than 1000 MW and the pressure is lower than 27 MPa This increases the unit operation efficiency. The 3D bending technology in the critical piping helps to reduce the project investment and minimize the reheat system pressure drop which improves the unit operation efficiency and safety. By choosing lower circulating water design temperature and by setting the individual Boiler Feedwater Turbine condenser to reduce the exhaust steam flow and the heat load to the main condenser, the unit average back pressure and the terminal temperature difference are minimized. Therefore, the unit heat efficiency is increased.
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Design and calibration of a new high-definition three-dimensional laparoscopic system

Jia TANG,Li-qiang WANG,Bo YUAN,Hong JIANG,Qi-ming ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 79-84 doi: 10.1631/FITEE.1400149

Abstract: A modified pinhole camera model is used for camera calibration and a new method of depth measurement

Keywords： Dual optical channels     Three dimensional     Camera calibration     Pinhole model     Depth measurement     Laparoscopic    

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Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 55-65 doi: 10.1007/s11465-019-0545-y

Abstract: This study proposes a structural parameter design approach for an FSM system based on the quantitative

Keywords： fast-steering mirror     structural parameter     PI controller     bandwidth     notch filter    

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Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameterCurrent studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency     cutting parameter     optimization     machining process    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Title Author Date Type Operation

Numerical simulation and experimental research on the wheel brush sampling process of an asteroid sampler

Journal Article

A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

Journal Article

Development of a novel hand−eye calibration for intuitive control of minimally invasive surgical robot

Journal Article

Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Journal Article

Development of an onsite calibration device forrobot manipulators

Ziwei WAN, Chunlin ZHOU, Haotian ZHANG, Jun WU

Journal Article

Remote calibration system for frequency based on in-place benchmark

Xiaobin HONG, Guixiong LIU, Zhuokui WU, Xipeng DU,

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Design and calibration of a new high-definition three-dimensional laparoscopic system

Jia TANG,Li-qiang WANG,Bo YUAN,Hong JIANG,Qi-ming ZHU

Journal Article

Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article