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General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product ofexponential model

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0681-7

Abstract: kinematics problems of robots are usually decomposed into several Paden–Kahan subproblems based on the productof exponential model.

Keywords： inverse kinematics Paden–Kahan subproblems three-joint subproblems product of exponential closed-form

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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

Abstract: An ultrasonic linear motor is proposed and fabricated by using the longitudinal and bending vibration double mode bolt-clamped Langevin type transducer to meet high power and speed requirements in the aerospace and semiconductor ind

Keywords： longitudinal vibration bolt-clamped semiconductor ultrasonic

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Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 94-97

Abstract:

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

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Exponential polynomial uniform splines model

Zhao Yanli,Ping Ping,Liu Fengyu

Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 147-152

Abstract:

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

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Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4, Pages 487-498 doi: 10.15302/J-FEM-2018042

Abstract:

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

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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

Abstract: The patient receives a pharmaceutical product, not a drug.Therefore, it is the product we must optimize for the patients.to assure the safety and efficacy of pharmaceutical products, we need an predictive tool for oral product

Keywords： GIS in vivo predictive dissolution ketoconazole BCS subclassification supersaturation

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Review of sentiment analysis: An emotional product development view

Frontiers of Engineering Management Pages 592-609 doi: 10.1007/s42524-022-0227-z

Abstract: Conveying consumers’ specific emotions in new products, referred to as emotional product developmentfeatures by mixing technical product features and consumers’ emotional perceptions.Furthermore, after conceptualizing emotion as Kansei and introducing emotional product development andemotional opinions from online reviews, thus cannot realize data-driven emotional product developmentThis study opens a broad door to aspect-level SA and its integration with emotional product development

Keywords： sentiment analysis emotion product development Kansei Engineering

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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

Abstract: To address this challenge, lean product development has emerged to become the leading improvement methodologyWhile lean product development has its origin in the best practice studies of Japanese car manufacturersand to ground the key aspects of lean product development based on insights from six studies publishedThis demonstrates how better and faster product development can be achieved through the integration of, seems imperative to investigate the integration of lean product development and eco-design principles

Keywords： lean product development sustainability engineering responsible design

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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

Abstract: approach for energy consumption prediction that can provide support for process parameter optimization and productgap, this paper proposes an energy consumption prediction approach for die casting machines driven by productConsequently, a systematic energy consumption prediction approach for die casting machines, involving product

Keywords： die casting machine energy consumption prediction product parameters

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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

Abstract: Product innovation is often a process for improving existing products.Low-end disruptive innovation (LDI) enables a product to meet the most price-sensitive customers in theThis study proposes a hybrid method for the product LDI in two levels of the product design based onFeasible areas of the product LDI are determined using a hybrid relational function model to identifyThe final LDI scheme is formed and evaluated based on the essential characteristics of the product LDI

Keywords： low-end disruptive innovation product design design improvement theory of inventive problem solving

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Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

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

Abstract: The distributed parameterized intelligent product platform (DPIPP) contains many agents of a product

Keywords： distributed parameterized intelligent product platform generalized module isomorphism analysis product

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Reaction kinetics of CaC

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

Abstract: The apparent activation energy and pre-exponential factor of the powder feed were estimated to 346–354

Keywords： calcium carbide kinetic model activation energy pre-exponential factor

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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

Abstract:

Keywords： valign= top class= J_zhaiyao

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Massively efficient filter for topology optimization based on the splitting of tensor product structure

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0710-6

Abstract: forward a massively efficient filter for topology optimization (TO) utilizing the splitting of tensor productby the splitting pipeline as that applied to implicit filter, is established in terms of the tensor productTherefore, the proposed filter is massively improved by the splitting of tensor product structure and

Keywords： topology optimization isogeometric analysis finite element analysis tensor product structure sensitivity