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Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0681-7
Keywords: inverse kinematics Paden–Kahan subproblems three-joint subproblems product of exponential closed-form
Ultrasonic linear motor using the L-B mode Langevin transducer with an exponential horn
SHI Shengjun, CHEN Weishan, LIU Junkao, ZHAO Xuetao
Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2, Pages 212-217 doi: 10.1007/s11465-008-0026-1
Keywords: longitudinal vibration bolt-clamped semiconductor ultrasonic
Research of the Exponential Smoothing Technology forForecasting Slope Displacement
Shen Liangfeng
Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 94-97
Exponential smoothing is an efficient method for forecasting and decision-making The forecasting model of exponential smoothing to forecast the displacement at Observation PointAccording to the characteristics of observation forecast formula with linear trend of the twice exponentialsmoothing, appropriate formulae calculating at, bt and suitable exponential smoothing value
Keywords: exponential smoothing forecasting slope displacement self-adaptive filtering
Exponential polynomial uniform splines model
Zhao Yanli,Ping Ping,Liu Fengyu
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 147-152
A new model of k( k ≥ 3) order exponential polynomial uniformThe spline curves which are constructed by the exponential polynomial uniform splines can adjust the
Keywords: exponential polynomial uniform spline function uniform B - spline function shape parameter
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
Frontiers of Engineering Management 2018, Volume 5, Issue 4, Pages 487-498 doi: 10.15302/J-FEM-2018042
This study investigates an energy-aware flow shop scheduling problem with a time-dependent learning effect. The relationship between the traditional and the proposed scheduling problem is shown and objective is to determine a job sequence in which the total energy consumption is minimized. To provide an efficient solution framework, composite lower bounds are proposed to be used in a solution approach with the name of Bounds-based Nested Partition (BBNP). A worst-case analysis on shortest process time heuristic is conducted for theoretical measurement. Computational experiments are performed on randomly generated test instances to evaluate the proposed algorithms. Results show that BBNP has better performance than conventional heuristics and provides considerable computational advantage.
Keywords: flow shop energy-aware scheduling learning effect nested partition worst-case error bound
Oral product input to the GI tract: GIS an oral product performance technology
Gordon L. Amidon, Yasuhiro Tsume
Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4, Pages 516-520 doi: 10.1007/s11705-017-1658-7
Keywords: GIS in vivo predictive dissolution ketoconazole BCS subclassification supersaturation
Review of sentiment analysis: An emotional product development view
Frontiers of Engineering Management Pages 592-609 doi: 10.1007/s42524-022-0227-z
Keywords: sentiment analysis emotion product development Kansei Engineering
Lean Product Development—Faster, Better … Cleaner?
Geert Letens
Frontiers of Engineering Management 2015, Volume 2, Issue 1, Pages 52-59 doi: 10.15302/J-FEM-2015007
Keywords: lean product development sustainability engineering responsible design
An energy consumption prediction approach of die casting machines driven by product parameters
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 868-886 doi: 10.1007/s11465-021-0656-0
Keywords: die casting machine energy consumption prediction product parameters
A hybrid method for product low-end disruptive innovation
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0690-6
Keywords: low-end disruptive innovation product design design improvement theory of inventive problem solving
Shasha ZENG, Weiping PENG, Tiaoyu LEI
Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1, Pages 12-23 doi: 10.1007/s11465-019-0555-9
Keywords: distributed parameterized intelligent product platform generalized module isomorphism analysis product
Renxing Wang,Zhenyu Liu,Leiming Ji,Xiaojin Guo,Xi Lin,Junfei Wu,Qingya Liu
Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 4, Pages 517-525 doi: 10.1007/s11705-016-1585-z
Keywords: calcium carbide kinetic model activation energy pre-exponential factor
Highlights in agri-product quality and safety
Guanghong ZHOU
Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3, Pages 289-290 doi: 10.15302/J-FASE-2018236
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0710-6
Keywords: topology optimization isogeometric analysis finite element analysis tensor product structure sensitivity
2019 highlights of the structural revision of natural product
Zongjia Chen, Mark A. Rizzacasa
Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3, Pages 595-601 doi: 10.1007/s11705-020-1971-4
Title Author Date Type Operation
General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product ofexponential model
Journal Article
Ultrasonic linear motor using the L-B mode Langevin transducer with an exponential horn
SHI Shengjun, CHEN Weishan, LIU Junkao, ZHAO Xuetao
Journal Article
Research of the Exponential Smoothing Technology forForecasting Slope Displacement
Shen Liangfeng
Journal Article
Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
Journal Article
Oral product input to the GI tract: GIS an oral product performance technology
Gordon L. Amidon, Yasuhiro Tsume
Journal Article
An energy consumption prediction approach of die casting machines driven by product parameters
Journal Article
Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product
Shasha ZENG, Weiping PENG, Tiaoyu LEI
Journal Article
Reaction kinetics of CaC
Renxing Wang,Zhenyu Liu,Leiming Ji,Xiaojin Guo,Xi Lin,Junfei Wu,Qingya Liu
Journal Article
Massively efficient filter for topology optimization based on the splitting of tensor product structure
Journal Article