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Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis

Aqeel AHMED, Muhammad WASIF, Anis FATIMA, Liming WANG, Syed Amir IQBAL

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 298-314 doi: 10.1007/s11465-020-0621-3

Abstract: Determining a feasible workpiece location is one of the significant tasks performed in an iterative wayIn this research, a mathematical model has been developed to determine the workpiece’s feasible locationsetup parameters accurately.Finally, the algorithm is validated for feasible workpiece setup parameters in a virtual environment.setup parameters.

Keywords: workpiece setup parameter     five-axis     space utilization     setup parameters     machine tool    

of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent setup

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract:

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup times, maximum flow time, mean tardiness, maximum tardiness, number of tardy jobs, total setups and mean setupResults indicate that shortest setup time (SIMSET) rule provides the best performance for mean flow timeThe job with similar setup and modified earliest due date (JMEDD) rule provides the best performancefor makespan, maximum flow time, mean tardiness, maximum tardiness, total setups and mean setup time

Keywords: scheduling     stochastic dynamic job shop     sequence-dependent setup times     dispatching rule     simulation    

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: The natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspace

Keywords: operational modal analysis     solar power plant structure     multi-setup stochastic subspace     bees optimization    

Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode

Jiasheng LI, Xingzhan LI, Wei WEI, Pinkuan LIU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 227-239 doi: 10.1007/s11465-020-0587-1

Abstract: In the process of cutting, the relative vibration between the cutter and the workpiece has an importantThe characteristic surface topography representing the relative vibration between the cutter and the workpieceimproved BEMD algorithm in realizing the relative vibration identification between the cutter and the workpiece

Keywords: bidimensional empirical mode decomposition     spatial spectrum analysis     boundary effect     vibration identification     surface topography    

surface roughness prediction method considering compensated acceleration in milling of thin-walled workpiece

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Surface roughness will be affected by system position dependent vibration even under constant parameter

Keywords: surface roughness prediction     compensated acceleration     milling     thin-walled workpiece    

Ultrasonic assisted EDM: Effect of the workpiece vibration in the machining characteristics of FW4 Welded

Mohammadreza SHABGARD, Hamed KAKOLVAND, Mirsadegh SEYEDZAVVAR, Ramin Mohammadpour SHOTORBANI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 419-428 doi: 10.1007/s11465-011-0246-7

Abstract: studies carried out to conduct a comprehensive investigation on the influence of ultrasonic vibration of workpiece, tool wear ratio (TWR), and surface roughness (Ra and Rmax) of the workpieceFurthermore, the surface roughness of the workpiece machined by EDM process is slightly lower than that

Keywords: electrical discharge machining (EDM)     material removal rate (MRR)     tool wear ratio (TWR)     surface roughness    

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    

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    

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.

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    

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: cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpieceOver 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    

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    

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isconducted to demonstrate the efficiency and highlight the superiority of the proposed method in modal parameterThe proposed method is proved to be efficient and accurate in modal parameter identification for bothlinear and nonlinear civil structures, including structures with closely spaced modes, sudden modal parameter

Keywords: modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 237-251 doi: 10.1007/s11709-014-0242-1

Abstract: The present work intends to investigate the effect of soil and model parameter uncertainty on the response

Keywords: shallow foun dation     sensitivity analysis     centrifuge data     first-order-second-moment (FOSM) method     parameter    

Parameter studies on impact in a lap joint

Amir M. RAHMANI,Elizabeth K. ERVIN

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 64-77 doi: 10.1007/s11465-014-0322-x

Abstract: Each parameter’s effect on system response is presented including unstable regions, unique trend

Keywords: impact mechanics     contact     joint behaviour     modal analysis     parameter study    

Title Author Date Type Operation

Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis

Aqeel AHMED, Muhammad WASIF, Anis FATIMA, Liming WANG, Syed Amir IQBAL

Journal Article

of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent setup

Pankaj SHARMA,Ajai JAIN

Journal Article

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode

Jiasheng LI, Xingzhan LI, Wei WEI, Pinkuan LIU

Journal Article

surface roughness prediction method considering compensated acceleration in milling of thin-walled workpiece

Journal Article

Ultrasonic assisted EDM: Effect of the workpiece vibration in the machining characteristics of FW4 Welded

Mohammadreza SHABGARD, Hamed KAKOLVAND, Mirsadegh SEYEDZAVVAR, Ramin Mohammadpour SHOTORBANI

Journal Article

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

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

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

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Journal Article

Parameter studies on impact in a lap joint

Amir M. RAHMANI,Elizabeth K. ERVIN

Journal Article