a multivariate mean square error optimization of aisi

Publications

Publications World Academy of Science Engineering and Technology Authors: Fan Jiang Fei Peng Jun Yuan Chen Fan Qian Sun Yudi Liu Abstract: Although Earth Station in Motion (ESIM) services are widely used and there is a huge market demand around the world International Telecommunication Union (ITU) does not have unified conclusion for the use of ESIM yet

Precision Engineering

2020-8-18Precision Engineering - Journal of the International Societies for Precision Engineering and Nanotechnology is devoted to the multidisciplinary study and practice of high accuracy engineering metrology and manufacturing The journal takes an integrated approach to all subjects related to research design manufacture performance validation and application of high precision machines

Simultaneous Microwave Extraction and Separation of

2 3 2 Optimization of Yield of Extraction and Separation of VOC and NVOC The parameters optimization was done thanks to the combined data of NVOC and VOC yields We want to maximize NVOC yield as well as the VOC separation NVOC yield can be increased slightly by increasing time but can be degraded by higher microwave power as seen in Figure

Optimization of Multiple Roughness Characteristics of

The present investigation deals with the chemical deposition of Ni-P-W coating on mild steel substrate and optimization of multiple surface roughness characteristics on the basis of different coating process parameters Three coating parameters which are varied to have the optimum condition are concentration of nickel source concentration of reducing agent and concentration of tungsten source

OPTIMIZATION OF AISI 316 MATERIALS MECHANICAL

2018-12-1The Levenberg-Marquardt (LM) algorithm is a widely used optimization algorithm which provides a solution called non-linear least square minimization [7] It is an iterative technique that identifies a local minimum of a given multivariate function which is expressed as the sum of squares of several real-valued non-linear functions

MTODO DE INTERSEO NORMAL FRONTEIRA PARA

2019-4-11solution of multiobjective optimization problems this Dissertation proposes the development and application of a hybrid optimization approach considering the techniques of response surface methodology mean square error factor analysis and normal boundary intersection method

Modeling and optimization of high

2018-3-1Free Online Library: Modeling and optimization of high-grade compacted graphite iron milling force and surface roughness via response surface methodology by Australian Journal of Mechanical Engineering Engineering and manufacturing Cast iron Methods Cast-iron Graphite Machining

Otimizao do Processo de Soldagem FCAW Usando o

2010-5-4(FCAW Welding Process Optimization Using the Multivariate Mean Square Error) Emerson Jos de Paiva 1 Lucilene de Oliveira Rodrigues Sebastio Carlos da Costa Anderson Paulo de Paiva1 Pedro Paulo Balestrassi1 1Universidade Federal de Itajub – UNIFEI – Itajub MG Brasil emersonjpaivagmail Resumo

A multivariate mean square error optimization of AISI

2008-9-20Hardened steel turning has received special attention in recent years due to its many applications in modern industries The characteristics that define its machinability—expressed in terms of multiple response problems—are usually represented by experimental model building strategies like response surface methodology (RSM) Such strategies however have a particular drawback when

A multivariate surface roughness modeling and

2019-4-25A multivariate surface roughness modeling and optimization under conditions of uncertainty Luiz Gustavo D Lopesa ⇑ Jos Henrique de Freitas Gomesa Anderson Paulo de Paivaa Luiz Fernando Barcab Joo Roberto Ferreiraa Pedro Paulo Balestrassia a Industrial Engineering Institute Federal University of Itajuba Itajuba Brazil bMechanical Engineering Institute Federal University of

Multivariate Empirical Modeling of Interaction Effects

2017-9-1Free Online Library: Multivariate Empirical Modeling of Interaction Effects of Machining Variables on Surface Roughness in Dry Hard Turning of AISI 4140 Steel with Coated CBN Insert Using Taguchi Design by Mechanika Engineering and manufacturing Boron nitride Analysis Hardness Hardness (Materials)

SIGAA

2019 Juliana Helena Daroz Gaudencio TURRIONI JOO BATISTA Pedro Paulo Balestrassi Roberto da Costa Quinino PAIVA ANDERSON fabricio Alves de Almeida A multiobjective optimization model for machining quality in the AISI 12L14 steel turning process using fuzzy multivariate mean square error

Electrochemical Impedance Spectroscopy of Ni

where m is the total mean grey relational grade is the mean grey relational grade at the optimal level and o is the number of the main design parameters that significantly affect the polarization characteristics of electroless Ni-B coating The comparison of the predicted grey relational grade experimental grey relational grade and the

A linear programming optimization model applied to

The decision-making process is not always simple and requires a more careful analysis to maximize the company's revenue This paper proposes a linear programming model applied to the decision-making of the section of quality monitoring and packaging of a Brazilian company of e-commerce in which the simplex method was used to maximize the company's revenue from historical time data of the

Journal: Journal of cleaner production / Publication

This research explores a new methodology to optimize a multivariate dry end milling process of the AISI 1045 steel Once the use of cutting fluids in machining processes has been questioned dry milling techniques are considered to be a way to the cleaner manufacturing in the

IJMS

Microwave extraction and separation has been used to increase the concentration of the extract compared to the conventional method with the same solid/liquid ratio reducing extraction time and separate at the same time Volatile Organic Compounds (VOC) from non-Volatile Organic Compounds (NVOC) of boldo leaves As preliminary study a response surface method has been used to optimize

The use of nested desirability functions and quality

2017-4-5ABSTRACTA multi-response robust parameter design (RPD) problem-solving technique based on desirability functions is presented in which the means and variances of all responses are placed on a level playing field The proposal allows a decision maker to integrate their preferences for the individual means and variances It is shown that the ensuing operating point is a system setting that

Professor Anderson Paulo de Paiva UNIFEI Itajub

O Somos faz parte de uma plataforma desenvolvida para facilitar o mapeamento das competncias da UNIFEI com o objetivo de incrementar a interao da Universidade em reas de pesquisa cientfica e tecnolgica com instituies pblicas e privadas A Plataforma Somos est em constante desenvolvimento pela Coordenadoria de Transferncia e Inovao Tecnolgica (CTIT)

Modeling and optimization of high

2018-3-1Free Online Library: Modeling and optimization of high-grade compacted graphite iron milling force and surface roughness via response surface methodology by Australian Journal of Mechanical Engineering Engineering and manufacturing Cast iron Methods Cast-iron Graphite Machining

SIGAA

2019 DAROZ GAUDNCIO JULIANA HELENA DE ALMEIDA FABRCIO ALVES Joo Batista Turrioni DA COSTA QUININO ROBERTO Pedro Paulo Balestrassi Anderson Paulo de Paiva A multiobjective optimization model for machining quality in the AISI 12L14 steel turning process using fuzzy multivariate mean square error ISSN: 01416359

Engineers Australia

2018-6-5AbstractIn this study RuT400(σb ≥ 500 MPa) was milled with different cutting speeds feeding rates and cutting depths to construct cutting force and surface roughness prediction models via response surface method (RSM) The milling parameters were optimised via response surface contour map and iterative algorithm The results show that that feeding rate and cutting depth are factors that

Normal

2018-9-18(2020) Multivariate Taguchi loss function optimization based on principal components analysis and normal boundary intersection Engineering with Computers 35 (2020) A Cross-Reference Line Method Based Multiobjective Evolutionary Algorithm to Enhance Population Diversity

MTODO DE INTERSEO NORMAL FRONTEIRA PARA

2019-4-11solution of multiobjective optimization problems this Dissertation proposes the development and application of a hybrid optimization approach considering the techniques of response surface methodology mean square error factor analysis and normal boundary intersection method

MTODO DE INTERSEO NORMAL FRONTEIRA PARA

2019-4-11solution of multiobjective optimization problems this Dissertation proposes the development and application of a hybrid optimization approach considering the techniques of response surface methodology mean square error factor analysis and normal boundary intersection method

Publications

Publications World Academy of Science Engineering and Technology Authors: Fan Jiang Fei Peng Jun Yuan Chen Fan Qian Sun Yudi Liu Abstract: Although Earth Station in Motion (ESIM) services are widely used and there is a huge market demand around the world International Telecommunication Union (ITU) does not have unified conclusion for the use of ESIM yet

OPTIMIZATION OF AISI 316 MATERIALS MECHANICAL

2018-12-1The Levenberg-Marquardt (LM) algorithm is a widely used optimization algorithm which provides a solution called non-linear least square minimization [7] It is an iterative technique that identifies a local minimum of a given multivariate function which is expressed as the sum of squares of several real-valued non-linear functions

Advanced monitoring of machining operations__

2013-5-7From them selected features such as variance/mean mean absolute deviation gradient and event count were calculated to form input vectors to a FF BP NN for decision making on chip disposal state The selected features were experimentally shown to be sensitive to changes in chip disposal state and relatively insensitive to changes in drilling conditions