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Modeling and multi-response optimization of pressure die casting process using response surface methodology
8 references·0 citing·25 second hop
Modeling and multi-response optimization of pressure die casting process using response surface methodology (2014)Modeling and multi-response optimization …Multiresponse optimization based on statistical response surface methodology and desirability function for the production of particleboard (2011)Multiresponse optimization ba…Linear and non-linear statistical modelling of green sand mould system (2007)Linear and non-linear statist…DOE applied to optimization of aluminum alloy die castings (2007)DOE applied to optimization o…Use of Taguchi method to develop a robust design for the magnesium alloy die casting process (2004)Use of Taguchi method to deve…Experiments - Planning, Analysis and Parameter Design Optimization (2001)Experiments - Planning, Analy…Design and Analysis of Experiments (2000)Design and Analysis of Experi…Response Surface Methodology (1996)Response Surface MethodologyResponse Surface Methodology (1973)Response Surface MethodologyQuality-Control Handbook. (1952)Experimental Design: Review and Comment (1984)Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream (1994)Squeeze casting process modeling by a conventional statistical regression analysis approach (2016)Quality Engineering using Design of Experiments (1989)Quality Engineering Using Robust Design (1991)Taguchi Methods for Robust Design (2000)QFD-Taguchi based hybrid approach in die casting process optimization (2017)Some New Three Level Designs for the Study of Quantitative Variables (1960)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Experiments: Planning, Analysis, and Parameter Design Optimization (2001)Modelling of squeeze casting process using design of experiments and response surface methodology (2015)World Class Manufacturing (2019)Response Surfaces: Designs and Analyses (1997)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Response surface methodology (2010)Optimization via simulation: A review (1994)Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)Design and Analysis of Experiments (2001)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Design and Analysis of Experiments (2006)Response Surface Methodology (2002)Response-Surface Methods in R , Using rsm (2009)The generalization of Latin hypercube sampling (2015)
this work references cited by second hop

References

  • 1996Response Surface Methodology3,819 cited
  • 2000Design and Analysis of Experiments2,656 cited
  • 2001Experiments - Planning, Analysis and Parameter Design Optimization1,132 cited
  • 1973Response Surface Methodology466 cited
  • 2004Use of Taguchi method to develop a robust design for the magnesium alloy die casting process92 cited
  • 2007DOE applied to optimization of aluminum alloy die castings77 cited
  • 2011Multiresponse optimization based on statistical response surface methodology and desirability function for the production of particleboard55 cited
  • 2007Linear and non-linear statistical modelling of green sand mould system55 cited

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