'Response surface methodology' diaporamas de présentation

Response surface methodology - PowerPoint PPT Presentation

Good Morning

Good Morning

Good Morning. RESPONSE SURFACE METHODOLOGY (R S M). Par Mariam MAHFOUZ. Organization of the talk. 10.h -10h.30m: Part I 10h.30m - 10h.45m: Questions about part I 10h.45m - 11h.45m: Part II 11h.45m - 12h.: Questions and discussion. General Planning. Part I

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633 views • 48 slides
Statistical Tools for Multivariate Six Sigma

Statistical Tools for Multivariate Six Sigma

Statistical Tools for Multivariate Six Sigma. Dr. Neil W. Polhemus CTO & Director of Development StatPoint, Inc. Revised talk: www.statgraphics.comdocuments.htm. The Challenge. The quality of an item or service usually depends on more than one characteristic.

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538 views • 44 slides
Chapter 10 Optimization Designs

Chapter 10 Optimization Designs

Chapter 10 Optimization Designs. C. S. R. O. R. Optimization Designs. Focus : A Few Continuous Factors Output : Best Settings Reference : Box, Hunter & Hunter Chapter 15. Optimization Designs. C. S. R. O. 2 k with Center Points Central Composite Des. Box-Behnken Des. R.

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624 views • 42 slides
Fractional Factorials

Fractional Factorials

Fractional Factorials. 2 k-p Designs. k factors two levels for each factor will only run 2 -p of the possible factor combinations will only run 2 k-p observations total. Basic facts about fractional factorials. will only have 2 k-p -1 degrees of freedom total

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364 views • 24 slides
Strategic Pressure Measurement System Characterization of the Mars Entry Atmospheric Data System

Strategic Pressure Measurement System Characterization of the Mars Entry Atmospheric Data System

Strategic Pressure Measurement System Characterization of the Mars Entry Atmospheric Data System. Peter A. Parker, Mark A. Hutchinson, Michael Mitchell, and Michelle M. Munk National Aeronautics and Space Administration Langley Research Center Hampton, VA

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342 views • 21 slides
Process Parameter Optimization for Resistance Spot Welding using Response Surface Methdology

Process Parameter Optimization for Resistance Spot Welding using Response Surface Methdology

Quality of product and process are mainly depends upon their process parameters and their levels selected for design and manufacturing. So, it is important to decide optimal levels of process parameters to get desired output variables. The study focuses on finding out optimal levels of process parameters in Resistance Spot Welding RSW and its effect on tensile strength and nugget diameter. The Response Surface Methodology RSM is employed for multi objective optimization of responses for maximizing tensile strength and minimizing nugget diameter. Response optimizer with desirability function is found for optimum results of response surface methodology. Analysis of variance ANOVA is carried out for analyzing contribution of each process parameter on the performance of RSW. Manjunath R. Rawal | Vaibhav Varane | Rakesh R. Kolhapure "Process Parameter Optimization for Resistance Spot Welding using Response Surface Methdology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23151.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23151/process-parameter-optimization-for-resistance-spot-welding-using-response-surface-methdology/manjunath-r-rawal

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61 views • 5 slides

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