Response surface methodology based on support vector regression for polygon blank shape optimization design

Liu Yu-lin; Chen Wen-liang; Ding Li-ping; Wang Xiao-ping

doi:10.1007/s00170-012-4417-4

Response surface methodology based on support vector regression for polygon blank shape optimization design

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-012-4417-4 ◽

2012 ◽

Vol 66 (9-12) ◽

pp. 1397-1405 ◽

Cited By ~ 1

Author(s):

Liu Yu-lin ◽

Chen Wen-liang ◽

Ding Li-ping ◽

Wang Xiao-ping

Keyword(s):

Response Surface Methodology ◽

Shape Optimization ◽

Support Vector Regression ◽

Response Surface ◽

Optimization Design ◽

Support Vector ◽

Blank Shape Optimization ◽

Blank Shape

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Predicting discharge coefficient of triangular labyrinth weir using Support Vector Regression, Support Vector Regression-firefly, Response Surface Methodology and Principal Component Analysis

Flow Measurement and Instrumentation ◽

10.1016/j.flowmeasinst.2016.11.010 ◽

2017 ◽

Vol 55 ◽

pp. 75-81 ◽

Cited By ~ 7

Author(s):

Hojat Karami ◽

Sohrab Karimi ◽

Mohammad Rahmanimanesh ◽

Saeed Farzin

Keyword(s):

Principal Component Analysis ◽

Response Surface Methodology ◽

Support Vector Regression ◽

Response Surface ◽

Discharge Coefficient ◽

Principal Component ◽

Component Analysis ◽

Support Vector ◽

Labyrinth Weir

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Predictive modelling of turning operations using response surface methodology, artificial neural networks and support vector regression

International Journal of Production Research ◽

10.1080/00207540802452132 ◽

2008 ◽

Vol 48 (3) ◽

pp. 763-778 ◽

Cited By ~ 47

Author(s):

Amit Kumar Gupta

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Support Vector Regression ◽

Response Surface ◽

Predictive Modelling ◽

Support Vector ◽

Turning Operations ◽

Artificial Neural

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Blank shape optimization in the deep drawing process by sun method

Production Engineering ◽

10.1007/s11740-021-01049-z ◽

2021 ◽

Author(s):

Hamidreza Gharehchahi ◽

Mohammad Javad Kazemzadeh-Parsi ◽

Ahmad Afsari ◽

Mehrdad Mohammadi

Keyword(s):

Shape Optimization ◽

Deep Drawing ◽

Drawing Process ◽

Deep Drawing Process ◽

Blank Shape Optimization ◽

Blank Shape

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Blank Shape Optimization Considering 3D Space Targets for External and Internal Boundaries in Sheet Metal Forming Processes

Transactions of the Indian Institute of Metals ◽

10.1007/s12666-021-02311-9 ◽

2021 ◽

Author(s):

Hamidreza Gharehchahi ◽

Mohammad Javad Kazemzadeh-Parsi ◽

Ahmad Afsari ◽

Mehrdad Mohammadi

Keyword(s):

Shape Optimization ◽

Sheet Metal ◽

Sheet Metal Forming ◽

Metal Forming ◽

3D Space ◽

Blank Shape Optimization ◽

Blank Shape

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Shape Optimization of a Microhole Surface for Control of Droplet Wettability via the Lattice Boltzmann Method and Response Surface Methodology

Langmuir ◽

10.1021/acs.langmuir.0c03596 ◽

2021 ◽

Author(s):

Bifeng Yin ◽

Sheng Xu ◽

Shuangyu Yang ◽

Fei Dong

Keyword(s):

Response Surface Methodology ◽

Shape Optimization ◽

Lattice Boltzmann Method ◽

Response Surface ◽

Lattice Boltzmann ◽

Boltzmann Method

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Automatic optimization design of a feeder extrusion die with response surface methodology and mesh deformation technique

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-017-0018-6 ◽

2017 ◽

Vol 91 (9-12) ◽

pp. 3181-3193 ◽

Cited By ~ 12

Author(s):

Cunsheng Zhang ◽

Shan Yang ◽

Qingyou Zhang ◽

Guoqun Zhao ◽

Ping Lu ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Optimization Design ◽

Mesh Deformation ◽

Extrusion Die ◽

Automatic Optimization

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Application of Response Surface Methodology and Elitist Multi-objective Hybrid Particle Swarm Algorithm for Optimization Design of an Air-Core Linear Motor

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol4.issue20.9 ◽

2012 ◽

Vol 4 (20) ◽

pp. 72-81

Author(s):

WenJong Chen ◽

WenCheng Su ◽

DyiCheng Chen ◽

FungLing Nian

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Optimization Design ◽

Particle Swarm ◽

Linear Motor ◽

Particle Swarm Algorithm ◽

Hybrid Particle ◽

Multi Objective ◽

Air Core ◽

Swarm Algorithm

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Optimization design injection system parameters of common rail diesel engine using response surface methodology

2011 International Conference on System science, Engineering design and Manufacturing informatization ◽

10.1109/icssem.2011.6081219 ◽

2011 ◽

Author(s):

Qin Jian-wen ◽

Chang Han-bao ◽

Shao Li-min

Keyword(s):

Response Surface Methodology ◽

Diesel Engine ◽

Response Surface ◽

Optimization Design ◽

Common Rail ◽

Injection System ◽

System Parameters

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Optimization design of basalt fiber reinforced stabilizer using response surface methodology

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/768/3/032030 ◽

2020 ◽

Vol 768 ◽

pp. 032030

Author(s):

Jinming Liu ◽

Zhongwen Ou ◽

Yong Mei ◽

Yan Xing ◽

Wei Xie

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Optimization Design ◽

Basalt Fiber ◽

Fiber Reinforced

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Approach to the shape optimization of racetrack type high temperature superconducting magnet using response surface methodology

Cryogenics ◽

10.1016/s0011-2275(01)00046-7 ◽

2001 ◽

Vol 41 (1) ◽

pp. 39-47 ◽

Cited By ~ 22

Author(s):

Young-Kyoun Kim ◽

Young-Sik Jo ◽

Jung-Pyo Hong ◽

Ju Lee

Keyword(s):

Response Surface Methodology ◽

High Temperature ◽

Shape Optimization ◽

Response Surface ◽

Superconducting Magnet ◽

High Temperature Superconducting

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